Thesis presentation

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Textile/Apparel Industry`s Supply Chain Simulation EGYPT JUNE 29,2013 - CAIRO UNIVERSITY’S FACULTY OF COMPUTERS & INFORMATION | DECISION SUPPORT DEPARTMENT

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Textile/Apparel Industry's Supply Chain Simulation at Marie Louis Factory

Transcript of Thesis presentation

  • 1. Textile/Apparel Industry`s Supply Chain Simulation EGYPT JUNE 29,2013 - CAIRO UNIVERSITYS FACULTY OF COMPUTERS & INFORMATION | DECISION SUPPORT DEPARTMENT

2. Agenda 1 Introduction 2 Project Main Objective 3 Business Process Model 4 Data Analysis 5 Project Demo 6 Problems and Solution 7 SCOR Model 8 Purpose of the Model 9 Future Work 2 3. Introduction What is Simulation ? What is Supply Chain ? What is Supply Chain Simulation ? 3 4. Introduction(Marie Louis) Figure1.1: Factory Floor #1 Figure1.2: Factory Floor #2 4 5. Project Main Objective 5 Building a simulation model that simulates the supply chain at Marie Louis Factory. To achieve this objective the following sub-objectives are included: 6. 1. Analyze the system at the factory Figure2: Business Process Model 6 7. 2. Data Collection and Analysis Figure3.1: Data Before Cleansing 7 8. 2. Data Collection and Analysis Figure3.2: Data Before Cleansing 8 9. 2. Data Collection and Analysis Figure4.1: Data After Cleansing 9 10. 2. Data Collection and Analysis Figure4.2: Data After Cleansing 10 11. 2. Data Collection and Analysis Figure5: Data Fitting 11 12. 3. Simulation Model Implementation 12 Figure6: Model Overview 13. 3. Simulation Model Implementation Demo 13 14. 3. Simulation Model Implementation 14 Figure7.1: 4-Category EntitiesProblems and Solutions 15. 3. Simulation Model Implementation 15 Figure7.2: Assigning Service Time For Each Category Problems and Solutions 16. 3. Simulation Model Implementation 16 Problems and Solutions Figure7.2: Extracting Service Time For Each Category 17. 3. Simulation Model Implementation 17 Figure7.2: Raw Materials ReceiptProblems and Solutions 18. 18 What is SCOR model ? 19. 19 Figure8: Model Overview 20. 4. Choosing Supply Chain Performance Measurements Plan Source Make Deliver Return 20 Figure8: SCOR Model #1 #2 #3 #4 #5 21. 4. Choosing Supply Chain Performance Measurements METRIC Current Measurements Deliver Cycle Time 81.3 hr. Establish Production Plans Cycle Time 280.53 hr. Make Cycle Time 1147.86 hr. Manage In Process Products(WIP) Cycle Time 175.06 hr. Pack Product Cycle Time 80.11 hr. Plan Cycle Time 125.78 hr. Receive Product as store cycle time 57.2 hr. Source Cycle Time 558.11 hr. 21 Figure 9:SCOR Metrics 22. 5. Trying Different Scenarios 22 Figure10: Table Representing the Differences Increasing the capacity of Cutting and Sewing Servers Developing different scenarios and viewing the resulting implications on the system METRIC/ SCENARIO Total Cycle Time Deliver Cycle Time Establish Production Plans Cycle Time Make Cycle Time Manage In Process Products(WIP) Cycle Time Pack Product Cycle Time Plan Cycle Time Receive Product as store cycle time Source Cycle Time 1 3474 72.61 272.89 97.6 126.83 79 123.8 42.62 563.79 2 3511 72.61 272.89 97.4 206.89 79 123.18 42.62 563.79 3 3514 72.61 272.89 97.6 96.47 79 123.18 42.62 563.79 4 3389 72.61 272.89 97.6 34.82 79 123.18 42.62 563.79 5 3473 72.61 272.89 97.6 123.6 79 123.18 42.62 563.79 23. 5. Trying Different Scenarios 23 Developing different scenarios and viewing the resulting implications on the system Current Supplying Durations For Raw Materials are: Average of 55 days for Turkey goods. Average of 70 days for Far East goods. Expected increase in durations is assumed to be: Average of 70 days for Turkey goods Average of 85 days for Far East goods 24. 5. Trying Different Scenarios 24 Figure10: Table Representing the Experiment Responses Responses of experiment: Developing different scenarios and viewing the resulting implications on the system METRIC/ SCENARIO Total Cycle Time Deliver Cycle Time Establish Productio n Plans Cycle Time Make Cycle Time Manage In Process Products(WIP) Cycle Time Pack Product Cycle Time Plan Cycle Time Receive Product as store cycle time Source Cycle Time Current 3712 72.61 272.89 97.6 208.72 79 123.18 42.62 652.12 25. Why ? 25 26. Future Work Cost Aspect User Interface Dynamic Model Increase Model Accuracy 26 27. Thank You All your questions are welcomed ! Project Under Supervision of: Assoc. Prof. Hisham Abd El-Salam Project Members: 1. Pakinam Ahmed 20090092 2. Rana Ashraf 20090127 3. Sara Sabry 20090145 4. Yasmine Sherif 20090388 27