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A Database Management Report System of OEE

1 2*

E-mail: kusolp@kmutnb.ac.th*

Supakorn Suwanlerd1 Kusol Pimapunsri2* 1,2Department of Industrial Engineering, Faculty of Engineering

King Mongkut�s University of Technology North Bangkok, Bangkok E-mail: kusolp@kmutnb.ac.th*

(OEE)

Abstract

OEE is an important index that is used to evaluate and to monitor availability, performance, and quality of

equipments in the process. This study develops a database management system to calculate OEE. It applies a relational database application to store main data and to record transaction data which are

related to manufacturing process. The system is used to calculate and to summarize such data as reports in tabular forms and charts e.g. percentage of availability, performance, quality, causes of time

losses, causes of quality losses, etc. Those reports are fundamental information for process analysis and

development. The system is actually implemented in a case study company of stamping sheet metal product. This company used to have problems in calculating OEE and creating reports due to numerous

data collected from several manufacturing process. The result from implementation of this tool can reduce the duration of reporting. It also gives various views of summary reports to stakeholders.

Keywords: DBMS, OEE

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1.

(Overall Equipment Effectiveness: OEE)

(Total Productive Maintenance: TPM)

OEE

OEE

(Spreadsheet)

OEE

1.

2.

3.

(Microsoft Access)

2.

(OEE)

TPM

OEE 3 (Availability Rate: A)

(Performance Efficiency: P) (Quality Rate: Q)

[1]

(1)

(A)

(2)

(P)

(3)

(Q)

(4)

A, P, Q, OEE

1

[2]

OEE

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PlannedShutdown

DowntimeLoss

PerformanceLoss

QualityLossGood Pieces

OEE% OEE%

Loading Time

Availability%

Performance%

Quality%

Net Operating Time

Loading Time

Operating Time

=

Breakdown, Setup, Changeover

Key Performance Indicator Loss Causes

Scheduled Unavailable TimeBreaks, Meeting, Maintenance etc.

Downtime

Time

Total Available Time

= Operating TimeLoading Time

Total Available Time - Planned Shutdown

Lost Capacity%

=

=

= A x P x Q

Good PiecesTotal Pieces

Std. time x Total PiecesOperating Time

Speed/Cycle Time LossReduce Speed, Cycle Time Variation

Quality LossReject, Scrap

1 OEE [2]

6

1

3.

OEE

2

3.1

1)

2) A, P, Q, OEE

/

1

OEE

Toolkit [3]

OEE

Management [4]

Idhammar

System [5]

OEE

Impact [6]

OEE

Application [7]

SPC Software

OEE [8]

1. OEE, A, P Q

2. Downtime Loss

3. Quality Loss

4.

Trend, Stack

Pie, Bar, Pareto, Column Chart

Data Matrix

Time Line, Area

5.

6. Visual Board

7. Easy Hard Hard Hard Easy Hard

8. Medium-High Expensive Expensive Expensive Medium Expensive

9. Medium-Large Large-Inter Large-Inter Large-Inter Small-Medium Large-Inter

OEE Software

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2

3) (Time and Quality Losses)

/

4)

3.2

(Data Flow Diagram: DFD)1

(Entity)

(Data Store)

(Normalization)

17

1

(Entity Relationship Diagram: ERD)

(Entity Integrity Constraint) (Referential

Integrity Constraint) 3 [9]

OEE

4.

4.1

4.1.1

2

(Main Data Management) (Transaction Data Management)

4 7

5

2 6

7

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3

4

5

4.1.2

(Report Management)

3 OEE

8

6

7

8

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4.2

4.2.1

OEE

1)

2)

3)

OEE

4)

OEE

4.2.2

3

2556 900

3 OEE

3

8

4.2.3 OEE

OEE

( ) A, P, Q, OEE

(Column Chart)

9

A, P, Q, OEE

10

(Overall/ Line/ Machine)

9 OEE

10 OEE

A, P, Q, OEE

4.2.4

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OEE

(Pie Chart)

11

11 �Downtime�

�L03� �L03�

12

(Overall/ Line/ Machine)

11

12

4.2.5

13

13 �Production Reject�

�L03�

14

(Overall/ Line/ Machine)

13

14

4.2.6

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(Combination Chart)

(Pareto Graph) 15

16

(Magnitude)

15

16

5.

3

OEE

120

( )

5

/

2

2

Column Chart

Stack

Pareto

Pie

1. OEE, A, P Q

2. Downtime Loss Quality Loss

3.

-

-

(Lag)

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(Mean Time between Failure: MTBF)

(Mean Time to Repair: MTTR)

2556 55-12-18-004

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