AI SearchAn MCDM approach to production planning : a case study for an automobile assembly plant in Vietnam
Call Number: AIT Thesis no. ISE-96-10 Material type:
TextSeries: Asian Institute of Technology. Thesis ; no. ISE-96-10Publication details: Bangkok : Asian Institute of Technology, 1996Description: 93 leavesSubject(s): Online resources: Dissertation note: Thesis (M. Eng.) - Asian Institute of Technology, 1996 Summary: Capacity planning in product mixed production has been emerged as an important aspect for production planning management over three decades. Rapid development of Multicriteria Decision Making (MCDM) affects to capacity planning as a way of finding the compromise solutions among conflicting objectives, among MCDM techniques, Goal Programming has been known as a high potential method for the problem which having inlinite alternatives. In this study, a product mixed planning model is developed in GP framework in order to determine the best compromise plan for one assembly car factory. By integrating over-regular capacity parameter, the model help Decision Maker to justify bottle-neck workshop and how to overcome this problem. Sequence-dependent setup times problem is also considered and solved by well known "Traveling Salesman Problem" (TSP) approach, giving a pre constrained for the main model development. A case study is chosen from the HoaBinh Automobile Factory, one of leading assembly car factories in Vietnam. The model has been run by Statistical Analysis Systems via Operation Research modul (SAS/OR), which is implemented in Unix system and by HyperLinclo ·in PC. Recommendations and suggestion coming up after the base run and sensitivity analysis have been done.
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A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technologies
Thesis (M. Eng.) - Asian Institute of Technology, 1996
Capacity planning in product mixed production has been emerged as an important aspect for production planning management over three decades. Rapid development of Multicriteria Decision Making (MCDM) affects to capacity planning as a way of finding the compromise solutions among conflicting objectives, among MCDM techniques, Goal Programming has been known as a high potential method for the problem which having inlinite alternatives. In this study, a product mixed planning model is developed in GP framework in order to determine the best compromise plan for one assembly car factory. By integrating over-regular capacity parameter, the model help Decision Maker to justify bottle-neck workshop and how to overcome this problem. Sequence-dependent setup times problem is also considered and solved by well known "Traveling Salesman Problem" (TSP) approach, giving a pre constrained for the main model development. A case study is chosen from the HoaBinh Automobile Factory, one of leading assembly car factories in Vietnam. The model has been run by Statistical Analysis Systems via Operation Research modul (SAS/OR), which is implemented in Unix system and by HyperLinclo ·in PC. Recommendations and suggestion coming up after the base run and sensitivity analysis have been done.
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