final report safe

PROJECT REPORT ON

“Successful implementation and roll out of barcoding technology. “

Submitted by,

Mr. Ravikumar Pawar.

Roll No. 15RM926

Birla Institute of Management Technology, Greater Noida.

Under The Guidance of,

Prof. Mr. Arindam Deb (Faculty Mentor).

Mr. Manish Shrivastav (Corporate Mentor).

(Corporate Strategy head, Safexpress Pvt. Ltd.)

INDEX

INDEX ...........................................................................................................1

CERTIFICATE.................................................................................................2

ACKNOWLEDGEMENT.....................................................................................3

LETTER OF TRANSMITTAL..............................................................................4

EXECUTIVE SUMMARY...................................................................................5

…………………………………………..............................................................

1. INTRODUCTION TO THE COMPANY...................................................8

2. LITERATURE REVIEW...........................................................................9

3. PROBLEM DEFINITION.........................................................................10

4. APPROACH TO THE PROBLEM...........................................................13

5. METHODOLOGY USED.........................................................................15

5.1 DATA COLLECTION FROM PRIMARY SOURCE …….…………………...15

5.2 SCALING TECHNIQUES .....................................................................16

5.3 HYPOTHESIS.....................................................................................18

6. DATA ANALYSIS...................................................................................21

7. RESULTS AND CONCLUSION..............................................................26

8. LIMITATIONS AND CAVEATS..............................................................29

9. RECOMMENDATIONS...........................................................................31

10. REFERENCE........................................................................................33

11. APPENDIX............................................................................................34

12. GLOSSARYOF ABBREVIATIONS......................................................41

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Summer Project Certificate

This is to certify that Mr. Ravikumar Bhagwan

Pawar. Roll No. 15RM926 a student of PGDM-RM

has worked on a summer project titled

“Successful implementation and roll out of

barcoding technology “

at ‘Safexpress Pvt. Ltd.’ after Trimester-III in

partial fulfilment of the requirement for the Post

Graduate Diploma in Management programme.

This is his original work to the best of my

knowledge.

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Date: ____________ Signature_________ (Prof. Arindam Deb)BIMTECH SEAL Name of Faculty Mentor

Acknowledgement

“It is not possible to prepare a project report without the assistance & encouragement of

other people. This one is certainly no exception.”

On the very outset of this report, I would like to extend my sincere & heartfelt obligation

towards all the personages who have helped me in this endeavor. Without their active

guidance, help, cooperation & encouragement, I would not have made headway in the

project.

I am ineffably indebted to Mr. Manish Shrivastav for conscientious guidance and

encouragement to accomplish this assignment. I am extremely thankful and pay my gratitude

to my faculty Prof. Arindam Deb for his valuable guidance and support on completion of

this project in its presently. I extend my gratitude to Birla Institute of Management

Technology for giving me this opportunity. I also acknowledge with a deep sense of

reverence, my gratitude towards my parents and member of my family, who has always

supported me morally as well as economically.

At last but not least gratitude goes to all of my friends who directly or indirectly helped me to

complete this project report.

Any omission in this brief acknowledgement does not mean lack of gratitude.

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Thanking You,

Ravikumar Pawar.

Roll No. 15RM926.

Letter of Transmittal25/06/2016

To

Mr. Arindam Deb

Faculty - Centre for Retail & Marketing

Birla Institute of Management Technology,

Greater Noida 201306.

Subject: Submission of internship report on “Successful implementation and Roll out of

Barcoding technology”.

Dear Sir,

It is an immense pleasure for me to submit you internship report titled “Successful

implementation and Roll out of Barcoding technology”. I was assigned to work at Pune,

Nashik, Aurangabad Hub of Safexpress. I tried my level best to complete this report properly

and to produce a meaningful report within all the constraints. I concentrated on areas that I

believed would be the most relevant to make the report coherent as well as practical as

possible.

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It was a great pleasure for working on this report to learn some real life lessons and first-hand

knowledge on Logistic and supply chain. I would be glad to furnish you with any

clarifications, if required. I therefore submit it, hoping that you would excuse the minor

flaws.

Thank You.

Sincerely Yours,

_____________

Ravikumar Pawar

Roll No. 15RM926

Executive Member of Alumni Conduit,

Birla Institute of Management Technology,

Greater Noida 201306.

Executive Summary

Have you ever thought of how does needful things for day to day life become

available in your city/town? All the products, raw material or semi-finished goods

become available from the anywhere to everywhere. But how is the question?

Obvious answer is transportation makes it possible to make the things available at

right place and right time. Providing products to the right customer at right place and

right time is the definition of retail. Various logistic companies perform these

operations for manufacturers. Safexpress is one of the supply chain and logistics

companies providing the logistics services for large number of well-known brands.

Now a day’s supply chain and logistics industry is booming very fast. Though many

companies are growing they lack the technology to improve the quality of services

they offer. Safexpress was facing very common problem of logistics that was ‘Short

and excess material while loading and unloading’. Various clients like Mahindra &

Mahindra, John Dear, Mercedes, SKF, Bajaj automobiles, UCB, etc. provides

material for transhipment to all over India to Safexpress. Safexpress appoint booking

associate to pick up and deliver material from these clients to the nearest hub of

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Safexpress. When material is handed over to the B.A. (Booking Associates) they

makes entry of the material into ERP software of Safexpress named PROPEL. At the

time of entry, they have to enter data like no of packets, Actual weight, volumetric

weight, source and destination location. After loading the truck and making entry at

client side they bring the truck to the nearest Hub where material gets unloaded and

segregated as per the destination location. While unloading OA (Operation

Assistant) need to generate unloading tally. Unloading tally contains all the details of

material entered by BA at client side. OA need to count the unloaded material and

insure that material count in unloading tally and actual received material is

equivalent. To check the count OA, mark a line for every box/packet unloaded by

labour on the unloading tally. During this process one labour reads loudly the

number i.e. unique id given by Safexpress to that packet and according to that

labours sound OA makes mark on unloading tally. In this process many times OA

found that actual count of packets is not matching with the tally. Hence sometimes

material gets short, but by mistake OA mark it received and after that Safexpress

need to pay claim to the clients for that material. Last year amount of claim was 22

crores approximately. To reduce the claim and solve the problem of short and

excess material Safexpress decided to take help of technology. And to implement

and roll out technology Safexpress hired team of 10 interns to work all over the India.

We used barcoded stickers to each packet and used scanners for check the count

as packet received or load into vehicle. Challenge was to train the employees and

set new standard process of working and replacing the existing processes without

error and without increasing the time period of work. All the labours are illiterate and

they were not ready to accept the change and they didn’t want to accept the

technology. In addition, OAs need to maintain relation with labours so as to get the

work done efficiently and fast. Most of the OAs too were not ready to change their

habit and opposing the technology. We have to train the OAs and insure that OAs

will use scanner to load and unload vehicle even after the internship gets over. To

satisfy and check the productivity before training and after training we maintained

unloading and loading time of all the vehicles before and after the use of technology.

There after we used paired T-test to check the productivity before and after training

with use of scanners and without scanners. As a result, we get to know that the

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productivity of the employees and workers including OAs improved after the training

and use of scanners. During my internship I have tested the scanners in three

different hubs Pune, Nashik and Aurangabad in Maharashtra state. And find out

other hindrances in the way of implementation and solved the issues by redefining

the processes.

Technology benefited company to track the shipments and check the proper

count. Safexpress used data recorded by scanners for performance evaluation as

well. Technology will solve the problem of claim and create a base for future

technology usage. By applying various algorithms and statistical methods on data

captured by scanners Safexpress will be able to maintain optimum load in hubs.

These data will give real time picture of load at any particular time. This data will help

company for network optimization also. In future, barcoding technology will be used

as platform for new technology and will ease the implementation of future

technology.

1.0) Introduction to The Company

Safexpress Pvt. Ltd., a leader in Supply Chain Management industry started its

operations in India in 1997 with 9 offices, 12 vehicles and 9 hubs all across the

country. In its constant pursuit to serve the Indian economy effectively, Safexpress

has today given a new face to the Indian Logistics industry. The unparalleled leader

in Indian Supply Chain Management, today, Safexpress delivers to every nook &

corner of India through its Largest Network and Fastest Transit Times. The company

provides its services to a vast range of customers ranging from the Automotive,

Engineering, Electronics, Telecom, IT to Retail, FMCG, Healthcare and Publishing

industry.

A known industry veteran and Logistics Guru of India, Mr. Pawan Jain, Chairman and MD, Safexpress, commands immense respect in the corporate fraternity today.

Armed with an experience of almost three decades, Mr. Jain is known to have

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contributed immensely in the growth of logistics industry in India. With a sharp

intellect and deep insight, Mr. Jain realized that two core values of Reliability and

Speedy Delivery were imperative to ensure customer satisfaction in the logistics

industry. Thus, he coined the name Safexpress, which stood for an amalgamation of

Safe and Express Service. Under his able guidance, Safexpress has achieved the

Leadership position in the Logistics Industry. The Logistics Industry is highly

fragmented with many unorganized players having regional presence. Less than 1%

is organized.

Apart from the few companies that are listed, not much information is available

relating to the other players. However, it won’t be wrong to say that the large

organized players account for more than half of the industry turnover. Our company’s

market share is 27%.

Growing at a phenomenal rate of 35% year on year, Safexpress, today, is a Rs5bn

company. At present, Safexpress have 42 hubs and super-hubs, a fleet of around

3300 weatherproof ISO 9002 certified containerized vehicles serving over 550

destinations and covering 5,00,000 km daily. Safexpress’s warehousing space

exceeds three million square feet. Safexpress cover all the 610 districts of India.

We are coming up with Logistics Parks at 32 locations in India. In Chennai company

have already invested Rs350mn to set up a three lakh-sq-ft. Logistics Park.

Company plan to add a total of seven million square feet of warehouse space within

the next three years.

2.0) Literature Review

We have seen barcodes printed on nearly every item in grocery store. They are

either UPC or EAN linear barcodes. There are about 300 other different types of

barcodes, out of which code 39 are the most popular. Also there are 2D barcodes

that store a large amount of information in a smaller space than linear barcodes.

There are two basic advantages of barcode scanning over manual entry, their speed

and accuracy. For the entry of 12 characters of data, keyboard takes 12 secs, while

scanning of 12-character data takes only 3 sec. The error rate for typing is one

substitution error for every 300 characters’ types. Error rate for barcode range from 1

substitution for every 15000 to 36 trillion characters scanned [1]. Collected

information about scanners and types of scanners. Also compared scanners with

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each other for the ease of use and efficiency. From the research published in

International Journal of computer Applications by K. N. Subramanya warehouses

play a vital role because they function as nodes that direct the flow of materials

within a distribution network. The effects of organizing warehousing activities can

directly be seen in customer service levels, lead times, and the cost structure of a

company. With WMS implementation the cycle time of the process also decreases.

The cycle time reduces and the cost benefit analysis for WMS implementation in

warehouse shows an increased savings per month. The study proves WMS to be an

enabling factor for performance and productivity improvement. The productivity of a

WMS warehouse is way higher than when the operations are manually performed

[2]. In the research paper published in IOSR Journal of Business and Management

by Rajiv Bhandari, Technology” is vehicle to enhance supply chain competitiveness

and performance by enhancing the overall effectiveness and efficiency of logistics

system. Hence choosing the right technology for various logistics activities or sub-

processes is very crucial to any business to gain competitive advantage in today’s

competitive market [3].

Implementation of barcode technology not only helped to reduce the cost but also it

improved the efficiency and productivity of hubs. Barcoding technology in Safexpress

will create base for all future technologies and provides competitive edge over all

other competitors. Barcoding technology will result into the time saving at operations

in the hub. Barcoding will create a way and provides necessary resources to

implement ‘WMS’ at warehouses which will take the level of Safexpress to the height

of success.

3.0) PROBLEM DEFINITION

Journey of Safexpress began over fourteen years ago from a small warehouse on

the outskirts of Delhi. The winds of change driving the Indian economy helped

Safexpress sail steadily, across districts, across cities and across states and today,

Safexpress serve every square inch of our country. Belief of company ‘Custodians

first, Carriers later’ helped build and carry lasting relationships. Company’s

investments in creating a world class warehousing infrastructure, enabling

operations using information technology, and setting up a continuous learning

environment has catalysed growth; and Safexpress believe that these along with

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innovation, agility and adaptability, will help scale greater heights in the coming

years. Yes, it was a challenge carving out a niche in the nascent Indian Logistics &

Supply Chain sector, and Safexpress were happy to bring in processes that are an

industry benchmark.

During this journey Safexpress found that due to some flaws in processes company

were facing the problem of excess and short material received by consignee. And in

case of short material delivered Safexpress need to give claim against the short

material. This short and excess happens at the time of loading and unloading

vehicles during booking, transhipment and delivery operations. Various big brand

companies are working with Safexpress as client and trust on safexpress for speedy

delivery of material and safety of material. Bringing new clients and pickup of

material is done by Booking Associates(BA) and Green Truck Associates(GTA).

Below figure explains the booking process in detail. As GTA or BA receives the

consignment they check for transit-worthiness of consignment and assign waybill

number to each consignment. Then calculate the chargeable weight and they

segregate the material according to the destination locations (Gateway Destinations)

and create waybill. Last step is to handover consigner copy to customer and

dispatch material to hub before dispatching material Booking Associate need to enter

waybill data into online ERP system called as propel. When vehicle reaches at hub

first process is to create vehicle arrival report. After vehicle reporting unloading tally

of that vehicle is generated by selecting the vehicle number from the list of arrived

vehicles. Unloading tally contains the detail information of all the waybills and

number of packets in each waybill. Unloading tally then handed over to the any of

the Operating Assistant(OA) who gets free at that moment. OA keeps record of the

actual material unloaded and number of packets mentioned in the unloading tally.

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Fig. (1). Booking process

OA marks a line for each packet unloaded by the workers/labours. Workers are

divided into group of 5 to 6 labours in each group, these groups are called as toil and

each toil has a one toil master. When unloading starts, toil master stands beside the

OA and remaining 4 workers bring the packets out of the vehicle. Each packet has

sticker pasted on it when worker brings box out of the vehicle toil master read and

shout waybill number with lot size i.e. number of packets in that waybill. For

example, for waybill number 4723461 with 10 packets in that waybill, toil master will

shout “chautis iksath das ka lot Nagpure...”. then OA listens the sound and finds the

waybill in the unloading tally and mark a line in front of that waybill. This way all the

truck gets unloaded but, due to the many sounds generated in material handling

works as noise in listening the exact waybill number. Other problem is that at a same

time there are several vehicles gets unloaded and many toil masers shouts their

waybill number hence it become difficult for OA to listen the exact number and mark

accordingly. Due to these hindrances in clearly listening OA does not trust on his

judgement and even if he found that there are some packets missing in vehicle than

the mentioned in unloading tally, he will mark all the packets received. And in case of

excess material received at hub, it becomes a choice of the hub staff whether to

show that material on the record or not. There is no current system by which one can

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surely say that there is excess packet/s received by the hub. The same problem

occurred during loading the vehicle. One more problem is that many of times labour

only reads the last 4 digits and lot size and hence cause miss routing of packets

whose waybills last 4 digits are same. Due to miss routing and short-excess problem

Safexpress won’t be able to deliver the material to the customer in the desired time

and quantity. Hence customers ask for the claim against the material not received or

received after the required time. This problem of paying claim amount become a

largest problem for the company as last year’s claim amount reached near about 22

crores.

Fig. (2) Unloading Tally

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4.0) Approach to The Problem

To solve these problem and handling the issue of the short and excess, company

decided to take help of technological advancements. Then strategy department of

company decided to implement the barcoding technology to reduce or avoid short

excess of material. As company is planning to implement technology which will be

cost effective and can be used as base for future technology implementations.

Strategy team designed a new set of standard processes to be followed while

loading and unloading with barcoding scanners. Safexpress come up with barcoding

stickers and barcode scanners to scan and unload the vehicle. Use of scanners

definitely will not allow any kind of confusion in counting that for sure. Scanner also

used to update the unloaded and loaded data to the ERP system Propel at that

same time from the scanners itself. Safexpress used Chainway scanners with

android operating system and 4.5-inch screen size plus laser based barcode

scanner integrated into device. Safexpress developed an android application which

will load and update tally to and from propel by using internet connection. Company

planned to start barcode scanning in 30 hubs initially with the help of 10 interns.

Each intern was allocated 3 different hubs. During the internship Objectives was to

1) Find out the flaws in the new processes

2) Find out the technological barriers

3) Find out psychological barriers.

4) Train the employees including staff members and OAs with labors to follow new

set of standards.

5)Train OAs to use scanners effectively and at ease for loading and unloading

purposes.

Initially whole project is divided into 4 major areas which are

1- Booking Vehicles and Route Vehicles Unloading through scanners

2- Loading of transshipment/route vehicles

3- Delivery unloading

4- Delivery loading.

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I have worked into first phase and successfully implemented barcode

scanning into 3 hubs assigned to me PUNE, NASHIK, and AURANGABAD hub. In

these hubs 80% booking vehicles get unloaded using scanners and same material is

loaded into route vehicles by using scanners only. To know the performance

difference before and after use of scanners and training we used paired sample T

test. During the roll-out technology we collected the data like number of waybills in

the tally, number of boxes/packets in the truck, and time taken to load and unload

the vehicle. Hence using this method, we proved that performance after training is

improved.

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5.0) Methodology Used

5.1) Research Design

To test the productivity and check out the difference between performance

before training and after training we used Paired Sample T test. Paired sample t-test

is a statistical technique that is used to compare two population means in the case of

two samples that are correlated. Paired sample t-test is used in ‘before-after’

studies, or when the samples are the matched pairs, or when it is a case-control

study. For example, if we give training to a company employee and we want to know

whether or not the training had any impact on the efficiency of the employee, we

could use the paired sample test. We collect data from the employee on a seven

scale rating, before the training and after the training. By using the paired sample t-

test, we can statistically conclude whether or not training has improved the efficiency

of the employee.

Steps Followed:

1. Set up hypothesis:

We set up two hypotheses. The first is the null hypothesis, which assumes that the

mean of two paired samples are equal. The second hypothesis will be an alternative

hypothesis, which assumes that the means of two paired samples are not equal.

That means null hypothesis will be there is no difference in performance before and

after training.

2. Select the level of significance:

After making the hypothesis, we choose the level of significance. In most of the

cases, significance level is 5%.

3. Calculate the parameter: To calculate the parameter, we will use the following formula:

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Where d bar is the mean difference between two samples, s² is the sample variance,

n is the sample size and t is a paired sample t-test with n-1 degrees of freedom.

An alternate formula for paired sample t-test is:

4. Testing of hypothesis or decision making:

After calculating the parameter, we will compare the calculated value with the table

value. If the calculated value is greater than the table value, then we will reject the

null hypothesis for the paired sample t-test. If the calculated value is less than the

table value, then we will accept the null hypothesis and say that there is no

significant mean difference between the two paired samples.

5. Assumptions:

1. Only the matched pairs can be used to perform the test.

2. Normal distributions are assumed.

3. The variance of two samples is equal.

4. Cases must be independent of each other.

5.2) Data Collection from Primary Source

Collected data from the 3 different hubs of time taken to unload the vehicles with

scanners and without scanners. In the very first week of internship we observed the

actual processes being followed at the respective hubs and noted down the flaws as

well as we keep record of time taken to unload the vehicle without scanners. While

recording the time we also kept record of Number of waybills in the tally, tally

number, total number of packets in the vehicle and who unloaded that vehicle.

For my performance evaluation method, I used these three parameters and based

on this parameter I have given weightage to each vehicle observed and then applied

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paired t test to find out the results. Below table shows the recorded data at the time

of unloading.

Example of Unloading Details recorded for Pune Hub: - (Without Scanners)

HUB BOOKING BRANCH UNLOADING TALLY NO. ARRIVAL

DATE

UNLOADING TIME

WITHOUT SCANNING

NO. OF WAYBILLS

NO. OF BOXES

Pune chakan 22 7917069 20 April 2016 40 24 82Pune Pune 26 7914590 20 April 2016 120 101 314Pune Pune 26 7914834 20 April 2016 51 1 326Pune Pune 26 7913782 20 April 2016 35 7 25Pune Pune 26 7915763 20 April 2016 35 8 87Pune Pune 26 7915443 20 April 2016 140 54 328

Table 5.2.1- Data collection example for unloading without scanner

Example of Unloading details recorded for Pune Hub: - (With Scanners)

HUB BOOKING BRANCH

UNLOADING TALLY

NO.

ARRIVAL DATE

ARRIVAL TIME

SCAN TIME

NO. OF WAYBILLS

NO. OF BOXES

Pune Pune 26 7980932 04 May 2016 7:06 30 9 65

Pune Pune 26 7980436 04 May 2016 1:31 85 34 264

Pune Pune 26 7982239 04 May 2016 15:47 35 4 22

Pune Pune 26 7981412 04 May 2016 11:17 95 42 277

Pune Pune 26 7985222 04 May 2016 22:28 140 54 370

Pune Pune 26 7985201 04 May 2016 22:25 90 33 200

Pune Pune 26 7983793 04 May 2016 19:31 150 118 403

Pune Pune 26 7987405 05 May 2016 14:17 20 7 12

Pune Pune 26 7986775 05 May 2016 10:27 25 6 45

Pune Pune 26 7986764 05 May 2016 10:23 10 8 18

Pune Pune 26 7987029 05 May 2016 12:02 180 80 572Table 5.2.2 Data collection example for unloading with scanner.

5.3) Scaling Techniques

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Collected data mainly indicating three parameters first Unloading Time in minutes,

Second Number of waybills in the Unloading tally and third is Total number of

packets/boxes in the vehicle. To evaluate the performance data is converted into

valuable scores for each vehicle record. In the scoring process we assigned the

weightage to the three parameters which affect the performance of OA while

unloading the vehicle.

Weightage to ‘Unloading Time’:

Unloading time is different for each vehicle and depends on various factors but

assuming all other factors constant we can give the importance to the unloading time

to evaluate performance. Weightage assigned explains the importance of that

particular parameter into the performance.

Weightage to ‘Number of Waybills’:

As you can see in the fig. (2) inside “problem definition” section, print of unloading

tally consist all the waybills listed. Toli master shouts the waybill and then OA mark

the unloaded packet as received into physical tally, but before marking he need to

find out that particular waybill from the list of waybills. This processes of finding the

waybill and ticking the material as received becomes tedious when tally contains

maximum waybills. Generally, more than one page contains approximately 25

waybills. More than 25 waybills cover 2 pages in the tally so, for OA it becomes

difficult to change the page and search for the waybill number he listened. Due to

this process OAs performance gets affected. To calculate exact weightage, we

assigned weightage as per following chart.

Number of

Waybills

1 to 10

11 to 20

21 to 30

31 to 40

41 to 50

51 to 60

61 to 70

71 to 80

81 to 90 90<

Weightage Assigned 1 2 3 4 5 6 7 8 9 10

Table.5.3.1) Weightage scale for “Number of Waybills”.

Weightage to ‘Total Number of Packets’:

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As the size and actual weight of each packet is different and cause delay into the

unloading process. Hence considering the number of times OA need to mark the line

depends on the total number of packets available in the tally. Hence we multiplied

the number of packets with weightage assigned for waybills and the time taken for

unload the vehicle, to count score for performance evaluation.

For example, consider 1st vehicle from table 5.2.1.

Tentative Score = Number of packets * Weightage assigned * Unloading time

= 82 * 2 * 42

= 6888

After calculating tentative score, we converted this score into 2-digit final score value

by dividing tentative score by 100.

So, Final Score = 6888/100

Final Score=68.88

By following the same logic, we calculated the score for all the collected sample data

and applied the paired t test to check the hypothesis.

5.4) Hypothesis

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The hypotheses can be expressed in two different ways that express the same idea

and are mathematically equivalent:

H0: µ1 = µ2 ("the paired population means are equal")

H1: µ1 ≠ µ2 ("the paired population means are not equal")

OR

H0: µ1 - µ2 = 0 ("the difference between the paired population means is equal to 0")

H1: µ1 - µ2 ≠ 0 ("the difference between the paired population means is not 0")

Where,

µ1 is the population mean of variable 1, and

µ2 is the population mean of variable 2.

According to above logic our hypothesis becomes:

H0: µ1 = µ2 ("Performance before and after training is equal")

H1: µ1 ≠ µ2 ("Performance before and after training is not equal")

OR

H0: µ1 - µ2 = 0 ("the difference in the performance before and after training is 0")

H1: µ1 - µ2 ≠ 0 ("the difference in the performance before and after training is not 0")

And if null hypothesis gets rejected then it will explain that performance is either

decreased or increased. For testing the hypothesis using paired t test we used SPSS

tools to get exact result with reliable graphs and tables that that can be analyzed

later to conclude the results.

6.0) Data Analysis

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First of all, we selected sample of 34 vehicles from the population of 160 vehicle

records. Vehicles having same number of boxes are compared with scanner and

without scanner unloading. Initially we recorded 50 vehicles without barcoding and

scanner training. After second week we have recorded data for 160 vehicles with

scanner training. Then for the paired sample T-test, vehicles unloaded with scanner

and having same number of packets are compared with vehicles unloaded without

scanner.

Following table shows the Sample data on which paired t test is applied.

Sl. HUB BOOKING BRANCH

UNLOADING TALLY

NO.ARRIVAL

DATE SCAN TIME

NO. OF WAYBILLS

NO. OF BOXES Weightage Score

1 Pune chakan 22 7917069 20 April 2016 40 24 82 3 6.152 Pune Pune 26 7914590 20 April 2016 120 101 314 10 26.166673 Pune Pune 26 7914834 20 April 2016 51 1 326 1 6.3921574 Pune Pune 26 7913782 20 April 2016 35 7 25 1 0.7142865 Pune Pune 26 7915763 20 April 2016 35 8 87 1 2.4857146 Pune Pune 26 7915443 20 April 2016 140 54 328 6 14.057147 Pune Pune 26 7913855 20 April 2016 100 32 386 4 15.448 Pune chakan 12 7914069 20 April 2016 45 6 322 1 7.1555569 Pune chakan 13 7917176 20 April 2016 140 18 341 2 4.871429

10 Pune chakan 22 7912289 20 April 2016 25 5 24 1 0.9611 Pune chakan 22 7916436 20 April 2016 16 3 10 1 0.62512 Pune Pune 26 7921825 21 April 2016 40 39 150 4 1513 Pune Pune 26 7921061 21 April 2016 95 74 217 8 18.2736814 Pune Pune 26 7919172 21 April 2016 90 8 184 1 2.04444415 Pune chakan 13 7922358 21 April 2016 60 7 416 1 6.93333316 Pune chakan 16 7917344 21 April 2016 32 9 246 1 7.687517 Pune chakan 22 7920712 21 April 2016 5 2 12 1 2.418 Pune chakan 22 7922417 21 April 2016 30 9 22 1 0.73333319 Pune Pune 26 7924104 22 April 2016 30 8 60 1 220 Pune Pune 26 7924288 22 April 2016 100 19 144 2 2.8821 Pune Pune 26 7924823 22 April 2016 25 3 4 1 0.1622 Pune Pune 26 7924840 22 April 2016 25 4 8 1 0.3223 Pune Pune 26 7927028 22 April 2016 40 13 29 2 1.4524 Pune Pune 26 7924709 22 April 2016 160 43 485 5 15.1562525 Pune Pune 26 7926134 22 April 2016 20 10 22 1 1.126 Pune chakan 13 7927482 22 April 2016 110 9 349 1 3.17272727 Pune chakan 22 7926566 22 April 2016 40 5 29 1 0.72528 Pune chakan 13 7932427 23 April 2016 160 38 380 4 9.529 Pune chakan 22 7927794 23 April 2016 50 11 125 2 530 Pune chakan 22 7932510 23 April 2016 51 14 116 2 4.5490231 Pune chakan 12 7929693 23 April 2016 50 4 224 1 4.48

22

32 Pune chakan 22 7927549 22 April 2016 120 28 349 3 8.72533 Pune chakan 22 7922603 22 April 2016 55 31 232 4 16.8727334 Pune chakan 13 7927456 22 April 2016 100 38 572 4 22.88

Data After Barcode Implementation:

Sl. HUB BOOKING BRANCH

UNLOADING TALLY NO.

ARRIVAL DATE

SCAN TIME

NO. OF WAYBILLS

NO. OF BOXES Weightage Score

1 Pune Pune 26 8002984 08 May 2016 110 26 81 3 26.732 Pune Pune 26 8012783 10 May 2016 90 94 317 10 285.33 Pune Pune 26 7995815 08 May 2016 100 35 331 4 132.44 ARD ARD-101 8199888 16 June 2016 5 3 25 1 0.1255 Pune Pune 26 8030068 13 May 2016 45 2 93 1 4.1856 Pune Pune 26 7986963 05 May 2016 85 29 321 3 81.8557 Pune Pune 26 8028644 13 May 2016 125 54 387 6 290.258 Pune Pune 26 7986961 05 May 2016 50 1 268 1 13.49 Pune Pune 26 8005524 09 May 2016 75 22 302 3 67.95

10 ARD ARD-13 8200824 16 June 2016 120 14 761 2 182.6411 Pune Pune 26 8022730 12 May 2016 100 26 351 3 105.312 Pune Pune 26 8001068 07 May 2016 40 9 127 2 10.1613 ARD ARD-18 8206465 17 June 2016 5 1 25 1 0.12514 Pune Pune 26 8011669 10 May 2016 10 4 10 1 0.115 Pune Pune 26 8035356 14 May 2016 45 39 151 4 27.1816 Pune Pune 26 8030909 13 May 2016 75 63 221 7 116.02517 Pune Pune 26 8009917 10 May 2016 60 2 181 1 10.8618 Pune Pune 26 7952411 28 April 2016 55 19 243 2 26.7319 ARD ARD-13 8195629 15 June 2016 60 10 405 1 24.320 ARD ARD-15 8196835 15 June 2016 20 13 241 2 9.6421 Pune Pune 26 7987405 05 May 2016 20 7 12 1 0.2422 Pune Pune 26 7982239 04 May 2016 35 4 22 1 0.7723 Pune Pune 26 8019862 11 May 2016 30 19 60 2 3.624 Pune Pune 26 8010661 10 May 2016 45 6 120 1 5.425 Pune Pune 26 8036296 14 May 2016 60 47 144 5 43.226 ARD ARD-14 8206472 17 June 2016 2 1 4 1 0.00827 Pune Pune 26 8015458 11 May 2016 30 4 8 1 0.2428 Pune Pune 26 8037541 15 May 2016 20 4 29 1 0.5829 Pune Pune 26 7999893 07 May 2016 80 84 526 9 378.7230 Pune Pune 26 8030644 13 May 2016 15 4 20 1 0.331 Pune Pune 26 7985222 04 May 2016 140 54 370 6 310.832 Pune Pune 26 7986775 05 May 2016 25 6 45 1 1.12533 Pune Pune 26 7978372 03 May 2016 20 14 31 2 1.2434 ARD ARD-101 8206469 17 June 2016 12 1 120 1 1.4435 Pune Pune 26 8029949 13 May 2016 55 44 130 5 35.7536 Pune Pune 26 8028644 13 May 2016 125 54 387 6 290.2537 ARD ARD-12 8207128 17 June 2016 60 23 218 3 39.2438 Pune Pune 26 8034276 14 May 2016 120 45 362 5 217.239 Pune Pune 26 7989793 05 May 2016 85 57 238 6 121.38

23

40 Pune Pune 26 7987029 05 May 2016 180 80 572 9 926.64

In the above table calculated the score for each vehicle using the formula mentioned

in the section (5.3). After calculating the Scores before and after the training these

score values are given to the SPSS16.0 as an input and performed paired T-test to

check the hypothesis.

Output of SPSS:

Paired Samples Statistics

Mean N Std. Deviation Std. Error Mean

Pair 1 Before Training 6.9724 34 6.96825 1.19504

After Training 11.6937 34 11.99082 2.05641

Table 6.1) Paired sample statics

From the above table we can say that there is difference between the mean value of

two samples. Standard deviation of sample collected before training is 6.96825 and

the standard deviation of sample collected after training is 11.99082.

Paired Samples Correlations

N Correlation Sig.

Pair 1 Before Training & After

Training34 .733 .000

Table 6.2) Paired sample correlationPaired Samples Test

Paired Differences

t dfSig. (2-tailed)Mean

Std. Deviatio

nStd. Error

Mean

95% Confidence Interval of the

Difference

Lower Upper

Pair 1

Before Training - After Training

-4.72129

8.35407 1.43271 -7.63616 -1.80642 -3.295 33.002

Table 6.3) Paired Sample T-Test

Paired Samples Test Box

24

This is the above box you will look at. It contains info about the paired samples t-test

that is conducted. We are most interested in the value that is in the final column of

this table. Take a look at the Sig. (2-tailed) value.

Sig (2-Tailed) value

This value will tell if the two condition Means are statistically different. Often times,

this value will be referred to as the p value. In this example, the Sig (2-Tailed) value

is 0.002

If the Sig (2-Tailed) value is greater than 0.05

We can conclude that there is no statistically significant difference between two

conditions. We can conclude that the differences between condition Means are likely

due to chance and not likely due to the manipulation.

If the Sig (2-Tailed) value is less than or equal to 0.05 We can conclude that there is

a statistically significant difference between two conditions. We can conclude that the

differences between condition Means are not likely due to change and are probably

due to the manipulation.

Our Example

The Sig. (2-Tailed) value in our example is 0.002. This value is less than .05.

Because of this, we can conclude that there is a statistically significant difference

between the mean score of vehicles unloaded after scanner and before scanner.

Hence we reject the null hypothesis and accepts alternative hypothesis.

Since our Paired Samples Statistics box revealed that the Mean number of scores

for after training is greater than the Mean for the before training condition, we can

conclude that there is slightly increase in the productivity and efficiency of the OAs

25

due to use of the technology. And this increase is not due to the chance. Company

started to use barcode stickers as shown in the below fig.

7.0) Results and Conclusion

From the statistical tools applied we get to know that technology helping

company to improve the efficiency and increase the productivity. Also technology will

help company to reduce the short and excess problem as once material scanned OA

will be sure that material is received or loaded into vehicles for sure. Technology of

barcoding created a base for the Safexpress to start new technology projects and

take company to the height of success.

26

Fig. Barcode Sticker

This barcode contains the waybill no of 8 digits and last four digits are box number

from that particular lot. For example, in above figure you can see that waybill number

is 47258767 and the box number is 17 from the lot of 21 hence barcode id will

become “472587670017”. This barcode is then scanned using the Chainway

scanners which has propel application integrated within it. As we tested the

hypothesis to check out whether there is difference occurred due to scanners or not

and we found that performance in the three hubs increased due to the technology

implementation.

As you can see into below graph, it clearly shows that in manual process when

number of boxes are less time required to unload the vehicle is near about same as

of scanner. When number of packets increases the time required for the manual

process becomes maximum and by scanner it become possible to scan the vehicle

in a less time as it did not need to stop labor to read the waybill number every time.

This way by using the scanner and barcoding stickers safexpress has built its own

technological launch pad and is ready to take off.

27

0 100 200 300 400 500 600 700 8000

20

40

60

80

100

120

140

160

180

200

Chart Title

With Scanner

Fig.7.1) Comparative chart of time required for unloading.

Below figure explains about the score comparison of unloading vehicles before and

after use of scanners. Fig 7.2) shows the score of unloading vehicles before scanner

implementation and fig 7.3) shows Score values of vehicles after Scanning.

13579

111315171921232527293133353739

0 100 200 300 400 500 600 700 800 900 1000

Fig. 7.3) Scoring data Before Barcode implementation.

28

13579

111315171921232527293133353739

0 100 200 300 400 500 600 700 800

Fig.7.3) Score data After Barcode implementation.

For assigning scores we considered box size and weight equal and compared

vehicles having nearly same number of boxes. Emphasis of scoring was on the

number of waybills and time taken to unload the vehicle. After analyzing all the

figures and tables we clearly state that barcoding improved the efficiency and

performance for loading and unloading the vehicles.

29

8.0) Limitations and Caveats

Lack of skilled Man power:

Near about 80% booking associates are illiterate or less educated, hence they are

not able to make data entry and print the stickers as per the company guidelines.

BAs creating additional problems and due to which work load increases in case of

using barcode scanners. As scanners can be used only when Booking Associate

followed each and every step as per company guidelines. For example, creating

multiple manifests unnecessarily for a single vehicle. They are not able to handle

Barcode printers so as to print stickers effectively. Booking associates creating

mistakes during printing like if there is a lot of 130 stickers and he printed stickers up

to 100 and due to some issue printer stops (issues like paper-out situation) then they

will print stickers from 1 to 30 again which will create 30 duplicate packets. All the

booking associates have been told and explained how to use printer for sticker

printing and about standard processes to be followed. Booking associates appointed

labors such as drivers who are illiterate and taking time to learn process.

Psychological barriers:

When project was started all the labors and OAs start to spread the word like this

technology will not work a long and it is going to fail. In some hubs labor opposed to

work if OA using scanner. As toil masters job is taken by the scanner toil master is

not needed anymore for company hence those toil masters used to spread negative

word of mouth in the labors. Toli masters spread the word that due to scanner it will

take hours to unload a vehicle. Some Experienced OAs were not ready to accept this

change they feel like using scanner is difficult and they were not confident about the

accuracy and use of scanner. Fear of technology like ‘what if something went

wrong?’ kept OAs away from the learning to use the scanner. Hough some OAs

taken interest and learnt firsthand to use scanner.

Process Barriers:

In some situations, scanner does increases the work just because of following

standard processes and the same job can be done in minutes if done manually.

Suppose if a vehicle comes from booking location and contains the material for three

different hub locations or material which is departing through three route vehicles. In

30

this case previously OA ask to park booking vehicle near to all three route vehicles

and as material comes out of the booking vehicle he counts for the unloading and

ask labor to put into respective route vehicle in this process he counts the material

only once and come to know that how many boxes sent to all route vehicle.

Same situation with scanner becomes tedious and requires more man power as you

will need three OAs to load three route vehicle and one OA to unload the booking

vehicle. Apart from that if any OA decided to handle the all scanners by him only it’s

not possible to keep changing the scanners so rapidly and cause delay.

Technological Barriers:

Scanners are connected to the Wi-Fi internet present in the hub but in some hubs

there is no internet connectivity such as broadband. They are using data cards

provided by Safexpress and for such hubs scanners with GSM SIM card used to

connect with propel. This connectivity speed depends upon the network coverage

and becomes hindrance in uploading the data while loading unloading.

31

9.0) Recommendations

Company is doing very well and project also implemented successfully and hit the

expectations. Though there are some flaws in the current processes and need to

remove many of the flaws are technical flaws and need to correct immediately.

1. Scanner Must show the missing packets number. It becomes very difficult if any sticker gets damaged or removed of the

box which is from a lot of 100,200 or any large figure. Then only option is to

show box as short and excess the material later.

2. Printing of any damaged sticker in hub should require authentication.As currently if any box come with damaged sticker OA prints

duplicate sticker and paste it on box and scan the box but it can be miss used

as if only scanning the sticker without physical material present in the hub.

3. Need to solve the Palate issues: In the below figure we can see that it is not possible to scan the

boxes which are kept at middle. In this case Safexpress need to communicate

with client company and find out the solution to the palate issue.

4. Company should provide fast internet connectivity to the Booking associates.

5. Company should stop providing manual stickers as early as possible.As on one side Safexpress is implementing barcode scanner

technology and on other hand Safexpres provides manual stickers till now

which will result into mixed stickers into vehicle and hence vehicle cannot

unload through scanner.

6. To implement barcode technology HUBs must know that record of how many vehicles unloaded through scanner is maintained at corporate office.

32

7. Technical support should be active to solve the technical issues.Many employees are not technology savvy and therefore they fear to

use the technology and if anything went wrong they don’t try to solve the

problem instead they will the IT team in that case if IT does not respond or

treat on urgent basis that employee will not use the technology for future

usage and will find out the alternate solution to do the same work. So, IT team

should be active enough to handle all the queries.

33

10.0) Reference

1. “Impact of Warehouse Management System in a Supply Chain” by Ramaa.A R V C E Dept. of Industrial Engg and Management, RVCE, B’lore., K.N.Subramanya R V C E Dept. of Industrial Engg and Management, RVCE, B’lore, T.M.Rangaswamy R V C E Dept. of Industrial Engg and Management, RVCE, B’lore. Published in International Journal of Computer Applications (0975 – 8887) Volume 54– No.1, September 2012.

2. “Impact of Technology on Logistics and Supply Chain Management” by Rajiv Bhandari published in IOSR Journal of Business and Management (IOSR-JBM) e-ISSN: 2278-487X, p-ISSN: 2319-7668 PP 19-24.

1. “Improving Business Logistics using Barcode Scanners” by Niharika Garg, Department of Computer Science, ITM University, Gurgaon, Haryana122001, India published in International Journal of Computer Applications (0975 – 8887) Volume 50 – No.15, July 2012.

34

11.0) Appendix

Data collected at Pune HUB 1st Week:

HUB BOOKING BRANCH

UNLOADING TALLY

NO.

ARRIVAL DATE

ARRIVAL

TIME

UNLOADING TIME

WITHOUT SCANNING

NO. OF WAYBILL

S

NO. OF

BOXES

Pune chakan 22 7917069 20 April 2016 23:15 40 min 24 82Pune Pune 26 7914590 20 April 2016 17:43 2 hr 101 314Pune Pune 26 7914834 20 April 2016 18:15 51 min 1 326Pune Pune 26 7913782 20 April 2016 14:59 35 min 7 25Pune Pune 26 7915763 20 April 2016 19:57 35 min 8 87Pune Pune 26 7915443 20 April 2016 19:18 2 hr 20 min 54 328Pune Pune 26 7913855 20 April 2016 15:18 1 hr 40 min 32 386Pune Pune 26 7914826 20 April 2016 18:15 1 hr 5 min 44 270Pune chakan 12 7916744 20 April 2016 22:16 2 hr 55 min 45 2234Pune chakan 12 7914069 20 April 2016 16:08 45 min 6 322Pune chakan 13 7916706 20 April 2016 22:09 2 hr 55 min 59 706Pune chakan 13 7917176 20 April 2016 23:43 2 hr 20 min 18 341

Pune chakan 16 7912402 20 April 2016 3:14 30 min 59 128Pune chakan 22 7912289 20 April 2016 2:08 25 min 5 24Pune chakan 22 7916436 20 April 2016 21:20 16 min 3 10Pune Pune 26 7921825 21 April 2016 21:40 40 min 39 150Pune Pune 26 7921061 21 April 2016 19:57 1 hr 35 min 74 217Pune Pune 26 7919172 21 April 2016 15:00 1 hr 26 min 8 184Pune chakan 12 7919471 21 April 2016 16:22 40 min 4 643Pune chakan 13 7922290 21 April 2016 22:57 1 hr 4 min 44 246Pune chakan 13 7922358 21 April 2016 23:04 1 hr 7 416Pune chakan 16 7917344 21 April 2016 0:18 32 min 9 246Pune chakan 22 7920712 21 April 2016 19:16 5 min 2 12Pune chakan 22 7922417 21 April 2016 23:18 27 min 9 22Pune Pune 26 7924104 22 April 2016 13:26 30 min 8 60Pune Pune 26 7924705 22 April 2016 16:27 50 min 40 120Pune Pune 26 7924288 22 April 2016 14:45 1 hr 35 min 19 144Pune Pune 26 7924823 22 April 2016 16:55 25 min 3 4Pune Pune 26 7924840 22 April 2016 16:58 25 min 4 8Pune Pune 26 7927028 22 April 2016 21:53 37 min 13 29Pune Pune 26 7924709 22 April 2016 16:27 2 hr 40 min 43 485Pune Pune 26 7926134 22 April 2016 19:38 20 min 10 22Pune chakan 12 7926769 22 April 2016 21:05 1 hr 40 min 37 725Pune chakan 12 7924403 22 April 2016 15:23 45 min 4 570Pune chakan 13 7927456 22 April 2016 23:23 1 hr 39 min 38 572Pune chakan 13 7927482 22 April 2016 23:28 1 hr 48 min 9 349Pune chakan 16 7927352 22 April 2016 23:01 5 min 4 44Pune chakan 22 7926566 22 April 2016 20:30 37 min 5 29

35

Pune chakan 22 7927549 22 April 2016 23:41 2 hr 28 349Pune chakan 22 7922603 22 April 2016 0:14 55 min 30 232Pune chakan 12 7929693 23 April 2016 16:01 50 min 4 224Pune chakan 12 7932381 23 April 2016 22:42 1 hr 7 min 65 1106Pune chakan 13 7932635 23 April 2016 23:32 2 hr 50 min 7 803Pune chakan 13 7932427 23 April 2016 22:54 2 hr 40 min 38 380Pune chakan 22 7927794 23 April 2016 0:56 50 min 11 125Pune chakan 22 7932510 23 April 2016 23:11 51 min 14 116

Data collected at Pune HUB 2nd Week:

HUB BOOKIN

G BRANCH

UNLOADING TALLY NO.

ARRIVAL DATE

ARRIVAL TIME

UNLOADING TIME

WITHOUT SCANNING

SCAN TIME

NO. OF WAYBILLS

NO. OF BOXES

Pune Pune 26 7949793 27 April 2016 20:52 1 hr - 23 220Pune Pune 26 7950742 27 April 2016 23:17 1 hr 42 min - 90 282Pune Pune 26 7947026 27 April 2016 12:50 15 min - 5 11Pune Pune 26 7947421 27 April 2016 15:17 22 min - 13 20Pune Pune 26 7955379 28 April 2016 21:04 20 min - 6 9Pune Pune 26 7954339 28 April 2016 19:05 33 min - 2 122Pune Pune 26 7954342 28 April 2016 19:05 2 hr - 104 429Pune Pune 26 7952607 28 April 2016 14:02 20 min - 6 10Pune Pune 26 7952411 28 April 2016 12:41 - 55 min 19 243Pune Pune 26 7952408 28 April 2016 12:40 20 min - 9 40Pune Pune 26 7961438 29 April 2016 22:54 1 hr 30 min - 28 267Pune Pune 26 7956379 29 April 2016 23:51 30 min - 13 54Pune Pune 26 7957692 29 April 2016 12:00 25 min - 17 50Pune Pune 26 7958299 29 April 2016 15:21 45 min - 29 209Pune Pune 26 7960272 29 April 2016 20:00 45 min - 6 100Pune Pune 26 7957693 29 April 2016 12:01 1 hr 10 min - 28 350Pune Pune 26 7958578 29 April 2016 16:28 1 hr 30 min - 2 378Pune Pune 26 7958441 29 April 2016 15:57 1 hr 40 min - 9 282Pune Pune 26 7965979 30 April 2016 20:35 52 min - 1 87Pune Pune 26 7965588 30 April 2016 19:47 1 hr 5 min - 39 130Pune Pune 26 7965156 30 April 2016 19:02 1 hr 43 min - 21 282Pune Pune 26 7965231 30 April 2016 19:09 50 min - 22 116Pune Pune 26 7966915 30 April 2016 23:09 28 min - 10 15Pune Pune 26 7963597 30 April 2016 14:43 40 min - 7 15Pune Pune 26 7963166 30 April 2016 12:06 - 1 hr 39 259Pune Pune 26 7972291 02 May 2016 18:38 1 hr 40 min - 41 356Pune Pune 26 7971510 02 May 2016 16:40 1 hr 20 min - 73 493Pune Pune 26 7972274 02 May 2016 18:37 1 hr 30 min - 47 309

Pune Pune 26 7971951 02 May 2016 17:52 - 3 hr 5 min 36 500

Pune Pune 26 7973474 02 May 2016 20:45 1 hr - 36 91Pune Pune 26 7976328 03 May 2016 13:59 - 30 min 5 239

36



Pune Pune 26 7978372 03 May 2016 19:45 - 20 min 14 31Pune Pune 26 7979227 03 May 2016 - - 35 min 5 15

Pune Pune 26 7978578 03 May 2016 - - 3 hr 5 min 104 591

Pune Pune 26 7979723 03 May 2016 22:27 - 30 min 29 62

Data collected at Pune HUB 3rd Week:

HUB

BOOKING

BRANCH

UNLOADING TALLY

NO.

ARRIVAL DATE

ARRIVAL TIME

SCAN TIME

NO. OF WAYBILL

S

NO. OF

BOXES

Pune Pune 26 7980932 04 May 2016 7:06 30 min 9 65

Pune Pune 26 7980436 04 May 2016 1:31 1 hr 25 min 34 264

Pune Pune 26 7982239 04 May 2016 15:47 35 min 4 22





Pune Pune 26 7987405 05 May 2016 14:17 20 min 7 12

Pune Pune 26 7986775 05 May 2016 10:27 29 min 6 45

Pune Pune 26 7986764 05 May 2016 10:23 12 min 8 18

Pune Pune 26 7987029 05 May 2016 12:02 3 hr 80 572

Pune Pune 26 7987281 05 May 2016 13:29 5 min 2 8

Pune Pune 26 7989310 05 May 2016 19:37 21 min 16 100




Pune Pune 26 7988315 05 May 2016 17:32 20 min 4 10

37

Pune Pune 26 7986961 05 May 2016 11:41 54 min 1 268

Pune Pune 26 7989364 05 May 2016 19:43 20 min 8 10


Pune Pune 26 7990539 05 May 2016 20:37 3 hr 115 582

Pune Pune 26 7987281 05 May 2016 13:29 10 min 2 8

Pune Pune 26 7986961 05 May 2016 11:41 50 min 1 268

Pune Pune 26 7993699 06 May 2016 17:07 10 min 3 50

Pune Pune 26 7993339 06 May 2016 14:15 1 hr 20 213

Pune Pune 26 7995404 06 May 2016 19:53 10 min 8 14

Pune Pune 26 7992999 06 May 2016 14:14 20 min 21 34

Pune Pune 26 7998367 06 May 2016 13:37 25 min 11 15

Pune Pune 26 7997481 06 May 2016 7:13 37 min 15 64


Pune Pune 26 7995690 06 May 2016 19:53 45 min 12 162

Pune Pune 26 7999515 07 May 2016 17:38 23 min 3 49

Pune Pune 26 7999550 07 May 2016 17:46 45 min 21 154



Pune Pune 26 8001068 07 May 2016 20:45 40 min 9 127

Pune Pune 26 8004102 08 May 2016 19:10 - 28 155

Pune Pune 26 8002984 08 May 2016 9:43 38 min 26 81


Pune Pune 26 8003670 08 May 2016 15:31 40 min 7 153

Pune Pune 26 8004367 08 May 2016 20:34 30 min 43 104


Pun Pune 26 7995815 08 May 2016 17:08 1 hr 46 min 35 331

38

ePun

e Pune 26 8008807 09 May 2016 21:36 15 min 8 16


Pune Pune 26 8008639 09 May 2016 21:18 15 min 8 9

Pune Pune 26 8006436 09 May 2016 16:58 1 hr 23 264


Pune Pune 26 8012028 10 May 2016 17:17 10 min 3 6

Pune Pune 26 8011690 10 May 2016 16:13 25 min 28 43

Pune Pune 26 8009917 10 May 2016 2:24 1 hr 2 181

Pune Pune 26 8010987 10 May 2016 12:39 20 min 3 12


Pune Pune 26 8010625 10 May 2016 8:38 35 min 49 76

Pune Pune 26 8010661 10 May 2016 7:09 49 min 6 120

Pune Pune 26 8011358 10 May 2016 14:31 10 min 5 5

Pune Pune 26 8011672 10 May 2016 16:09 10 min 5 6

Pune Pune 26 8011669 10 May 2016 16:07 10 min 4 10

Pune Pune 26 8012716 10 May 2016 18:41 10 min 5 6


Data Collected at 4th Week Pune Hub:

HUB BOOKIN

G BRANCH

UNLOADING TALLY

NO.

ARRIVAL DATE

ARRIVAL TIME SCAN TIME

NO. OF WAYBILL

S

NO. OF BOXES

Pune Pune 26 8019070 11 May 2016 19:53 1 hr 23 97

Pune Pune 26 8022373 11 May 2016 11:15 20 min 6 7


Pune Pune 26 8019862 11 May 2016 21:34 30 min 19 60

Pune Pune 26 8019062 11 May 19:54 35 min 37 70

39

2016

Pune Pune 26 8016631 11 May 2016 12:52 20 min 5 6

Pune Pune 26 8016179 11 May 2016 10:26 50 min 17 48

Pune Pune 26 8015458 11 May 2016 2:29 30 min 4 8

Pune Pune 26 8015459 11 May 2016 2:29 50 min 5 5

Pune Pune 26 8017942 11 May 2016 17:45 13 min 7 11

Pune Pune 26 8017460 11 May 2016 16:47 15 min 4 50

Pune Pune 26 8021110 12 May 2016 3:49 30 min 6 12


Pune Pune 26 8028687 13 May 2016 17:13 10 min 5 5


Pune Pune 26 8027615 13 May 2016 12:07 10 min 6 9

Pune Pune 26 8026567 13 May 2016 2:29 10 min 5 14

Pune Pune 26 8030644 13 May 2016 20:46 15 min 4 20


Pune Pune 26 8030068 13 May 2016 19:52 45 min 2 93


Pune Pune 26 8028028 13 May 2016 14:26 15 min 8 18

Pune Pune 26 8029949 13 May 2016 19:25 55 min 44 130


Pune Pune 26 8031983 14 May 2016 0:46 22 min 9 10

Pune Pune 26 8033700 14 May 2016 18:18 5 min 3 12

Pune Pune 26 8034099 14 May 2016 16:48 37 min 10 79

Pune Pune 26 8033704 14 May 2016 6:01 50 min 14 194

Pune Pune 26 8034274 14 May 2016 17:14 10 min 12 14

Pune Pune 26 8033114 14 May 2016 11:57 20 min 24 36

40

Pune Pune 26 8033119 14 May 2016 11:58 25 min 37 56

Pune Pune 26 8033446 14 May 2016 13:45 7 min 5 6

Pune Pune 26 8036032 14 May 2016 20:45 30 min 12 18

Pune Pune 26 8034276 14 May 2016 17:15 2 hr 45 362

Pune Pune 26 8035356 14 May 2016 19:29 45 min 39 151

Pune Pune 26 8036683 14 May 2016 22:42 10 min 6 16

Pune Pune 26 8036452 14 May 2016 21:21 50 min 24 57

Pune Pune 26 8036296 14 May 2016 21:22 1 hr 47 144

Pune Pune 26 8034607 14 May 2016 17:04 46 min 21 77

Pune Pune 26 8038845 15 May 2016 17:34 55 min 20 173

Pune Pune 26 8038438 15 May 2016 14:50 15 min 5 6


Pune Pune 26 8038177 15 May 2016 12:34 15 min 24 53

Pune Pune 26 8038073 15 May 2016 11:33 40 min 31 82

Pune Pune 26 8037521 15 May 2016 5:05 15 min 19 41

Pune Pune 26 8037541 15 May 2016 5:35 20 min 4 29

Pune Pune 26 8040623 16 May 2016 13:06 13 min 3 42

Pune Pune 27 8046307 17 May 2016 16:17 15 min 7 8

Pune Pune 28 8045635 17 May 2016 12:22 15 min 8 18

Pune Pune 29 8046593 17 May 2016 17:09 10 min 5 16

Pune Pune 30 8047621 17 May 2016 19:14 20 min 4 7

Pune Pune 31 8047819 17 May 2016 19:35 30 min 24 69

Pune Pune 32 8047814 17 May 2016 19:34 20 min 15 34

Pune Pune 33 8045135 17 May 2016 9:54 20 min 28 45

Pune Pune 34 8048323 17 May 2016 20:27 10 min 8 19

Pune Pune 35 8046613 17 May 16:37 50 min 16 77

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2016

Pune Pune 36 8045480 17 May 2016 11:23 25 min 29 77

Data Collected at Aurangabad:

BOOKING BRANCH

UNLOADING TALLY NO.

ARRIVAL DATE

ARRIVAL TIME

SCAN TIME

NO. OF WAYBILLS

NO. OF BOXES

ARD-15 8189311 14 June 2016 17:30 28 1 10ARD-102 8189452 14 June 2016 18:10 5 1 15ARD-15 8189598 14 June 2016 19:20 25 1 8

ARD-101 8189721 14 June 2016 20:00 75 1 200ARD-12 8190461 14 June 2016 20:15 85 23 297ARD-15 8196835 15 June 2016 20:55 20 13 241ARD-19 8195536 15 June 2016 18:30 15 7 69ARD-14 8195548 15 June 2016 18:31 1 1 1ARD-13 8195629 15 June 2016 18:32 60 10 405ARD-14 8195551 15 June 2016 18:32 5 4 7ARD-14 8195545 15 June 2016 18:31 20 8 32

ARD-102 8196127 15 June 2016 19:02 5 3 13ARD-101 8196118 15 June 2016 19:33 20 3 52ARD-12 8197397 15 June 2016 22:22 60 25 273ARD-13 8199811 16 June 2016 14:45 5 7 68

ARD-101 8199888 16 June 2016 15:05 5 3 25ARD-101 8200802 16 June 2016 17:42 5 3 14ARD-11 8200884 16 June 2016 17:53 5 6 19ARD-13 8202205 16 June 2016 20:12 20 9 179ARD-19 8202557 16 June 2016 20:54 15 5 71ARD-12 8201078 16 June 2016 18:18 30 21 248ARD-13 8200824 16 June 2016 17:45 120 14 761ARD-19 8207106 17 June 2016 18:45 2 1 6ARD-17 8206489 17 June 2016 17:27 30 3 402ARD-18 8206465 17 June 2016 17:24 5 1 25ARD-14 8206472 17 June 2016 17:25 2 1 4

ARD-101 8206469 17 June 2016 17:23 12 1 120ARD-19 8207112 17 June 2016 18:46 20 5 68

DHULE-11 L 6861406 17 June 2016 30 19 205HYDERABAD-

11 8207645 17 June 2016 19:39 50 17 103

ARD-12 8207128 17 June 2016 18:47 60 23 218DHULE-11 L 6862228 17 June 2016 20:35 20 2 79DHULE-11 L 6862315 17 June 2016 21:09 10 3 30

Statistical Test Outputs:

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Paired Samples Statistics

Mean N Std. Deviation Std. Error Mean

Pair 1 Before Training 6.9724 34 6.96825 1.19504

After Training 11.6937 34 11.99082 2.05641

Paired Samples Correlations

N Correlation Sig.

Pair 1 Before Training & After

Training34 .733 .000

Paired Samples Test

Paired Differences

t dfSig. (2-tailed)Mean

Std. Deviatio

nStd. Error

Mean

95% Confidence Interval of the

Difference

Lower Upper

Pair 1

Before Training - After Training

-4.72129

8.35407 1.43271 -7.63616 -1.80642 -3.295 33 .002

12.0) Glossary of Abbreviations

OA – Operation Assistant: is person who observe and responsible for loading and unloading the vehicle.

BA – Booking Associate is a person who books material from client company to transfer via safexpress.

GTA – Green Truck Associate is a person having company owned vehicle for picking the retail material for business.

Scanner – is a device used to read the barcode and interpret the information recorded into graphical format.

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Barcode – Barcode is a 2D or 1D graphical representation of data may it be numerical or characters.

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final report safe

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