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PRESENTATION ON BASIC QUALITY TOOLS USED IN AGRICULTURE Name- Rupesh Kumar Das UID- k10741 Course- B.Tech Branch- Mechanical Sem- 6 th Sub- Operation planning and control

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Page 1: K10741 rupesh ppt on opc

PRESENTATION ON BASIC QUALITY TOOLS USED IN AGRICULTURE

Name- Rupesh Kumar DasUID- k10741Course- B.TechBranch- MechanicalSem- 6th

Sub- Operation planning and control

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QUALITY management can be used as a competitive advantage for an organization. According to ISO 9001:2008, organizations should ensure that customer requirements are determined, to ensure their satisfaction . Thus, organizations need to improve their processes and for that use a set of practices, which include various techniques and tools, including most importantly quality tools.

Ishikawa [2] discusses the importance of implementing

quality tools, stating that 95% of quality problems can be solved by simple tools such as the basic quality tools.

Introduction

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Cause and effect diagram in food safety standard To better understand the food safety standard, and plan for

food safety implementation, this utilizes a cause and effect diagram to capture key factors influencing food safety implementation in Thailand. The cause and effect diagram, also known as the fishbone or Ishikawa diagram, is an effective tool to be used as a guideline to improve food safety standard.

Man Proper safety training Safety communication among employees Proper dress Employee health

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MaterialBased on a number of food safety-related literature, the Material factor

consists of four items, as followingsFreshnessAge of raw materialCertified document of raw materialContract farming

MethodBased on a number of food safety-related literature, the Method factor

consists of seven items, as followings.Utilization of first in first out approachDocument controlPackage selectionClear separation of related of non-relate zonesClear separation of entrance and exit No production line criss-cross

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Management Based on a number of food safety-related literature, the Management factor

consists of five items, as followings. Food safety policy Commitment to food safety development Food safety team Supplying in necessary resources Consultation Environment Based on a number of food safety-related literature, the

Environment factor consists of five items, as followings. Pest control Light control Temperature control Ventilation control Dust control

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Weed classification using histogram Since in practice there are only two types of herbicides used: for broad leave

weed and narrow leave weed (grass), the objective is to develop an algorithm that can

  • Recognize the presence of weeds • Differentiate the presence of broad leaves weeds and narrow leaves weeds.

Method and Identification  show the classification images of broad and narrow weeds, which are taken in

the field. These images are processed by Histogram Maxima with threshold. The algorithms gave 100% accuracy to detect the presence or absence of weed cover. For areas where weeds are detected, results show over 95 percent classification accuracy over 140 sample images with 70 samples from each class as shown in Table I.

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Result A real-time weed control system is developed and tested in

the lab for selective spraying of weeds using vision recognition system. In this paper, feature extraction based system for weed classification and recognition is developed. The system shows an effective and reliable classification of images captured by a video camera. The system composes of four main stages: image capturing, image pre-processing, feature extractions and classification. Histogram Maxima with Threshold is used in this paper to classify the weeds.

 

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Pareto chart Pareto chart was created by plotting the

cumulative frequency of the relative frequency of the causes in descending order, after that the most essential factors for the analysis are graphically apparent and orderly format.

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For all nine contributing causes 80:20 rule was applied, 80% of the causes were considered and found that old plant and machinery, improper production planning and handling losses were vital.

Result  At the milk plant, Mohali the average milk loss from

January 2014 to March 2014 was 42679 liter per month after implementation of quality control tools from month April 2014 to June 2014 the average loss was 29220 liter. The average saving is 13459 liter per month. Hence productivity increased by 31%.

 

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Flow chart  Once the flow diagram has been drawn up and the nature of the flows

between the different agents clarified, the next step is to quantify these flows, both in physical and in monetary terms. This allows the analyst to assess the relative importance of the different segments or sub-chains of the chain, which in turn will allow an appropriate use of time and resources.

Supply = Inputs from backwards agents +/- stocks = Corresponding output of backward agents - transport losses

+/- stocks   Utilization = Output supplied to forward agents + own consumption +

wastage and losses +/- stocks 

 

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Result The commodity chain is the name given to the succession of operations and of

agents which, starting upstream with a raw material, eventually emerge downstream, after several stages of transformation and increases in value, with one or more final products at consumer level. A chain is thus a series of operations (transformations) of agents and of markets, which lead to physical flows and their counterparts in monetary value.

 Conclusion  This case study started with a diagnostic of the quality management function of

the agriculture involved in the study. This diagnostic allowed identifying a priority area to increase its quality level. It was concluded that the most important problem the agriculture is facing is related to the production process which must be improved to reduce the high number of nonconforming component.

 

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References [1] ISO 9001:2008, Quality management systems.

Requirements, ISO, 2008. [2] K. Ishikawa, Guide to Quality Control. NY: Quality Resources,

1968. [3] J. Tarí, and V. Sabater, “Quality tools and techniques: Are

they necessary for quality management?”. Int. J. Production Economics, Volume 92, 2004, pp. 267 280.

[4] G. Paliska, D. Pavletic and M. Sokovic, “Quality Tools - Systematic use in process industry”, Journal of Achievements in Materials and Manufacturing Engineering, November 25(1), 2007, pp. 79–82.

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