AI SearchAn aggregate production planning model in a heavy manufacturing industry
Call Number: AIT Thesis no. IE-79-22 Material type:
TextSeries: Asian Institute of Technology. Thesis ; no. IE-79-22Publication details: Bangkok : Asian Institute of Technology, 1979Description: vii, 59 pSubject(s): Online resources: Dissertation note: Thesis (M.Eng.) - Asian Institute of Technology, 1979 Summary: In this study the problem of aggregate production planning is studied in the context of heavy manufacturing industry. A product classification procedure is used to group the products into a few classes. A mathematical model is then developed to minimize the total cost of production. The basic model is then transformed into a Linear Programming model to solve for the optimal production plan. The model is then applied to a heavy mechanical equipment manufacturer in Pakistan to test its applicability. A post optimality analysis is conducted to investigate the effect of various cost coefficients, and to draw conclusions.
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20-AIT Publication
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Asian Institute of Technology Library AIT Publications | AIT Thesis no. IE-79-22 (Browse shelf(Opens below)) | 2 | Available | 30050003070702 | |||||||||||||
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Asian Institute of Technology Library Archives | AIT Thesis no. IE-79-22 (Browse shelf(Opens below)) | 1 | Available | 30050160011101 |
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology
Thesis (M.Eng.) - Asian Institute of Technology, 1979
In this study the problem of aggregate production planning is studied in the context of heavy manufacturing industry. A product classification procedure is used to group the products into a few classes. A mathematical model is then developed to minimize the total cost of production. The basic model is then transformed into a Linear Programming model to solve for the optimal production plan. The model is then applied to a heavy mechanical equipment manufacturer in Pakistan to test its applicability. A post optimality analysis is conducted to investigate the effect of various cost coefficients, and to draw conclusions.
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