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Production planning models for an assembly system with stochastic lead times | |
Author | Perera, Rajhiv Nimal |
Call Number | AIT Thesis no. IE-92-29 |
Subject(s) | Production planning |
Note | A thesis submitted in partial fulfillment of the requirement for the degree of Master of Engineering, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Series Statement | Thesis ; no. IE-92-29 |
Abstract | Two inventory models are developed for multi-component assembly systems. The first model addresses the problem of determining planned lead times in a two component, two serial production stage assembly system with stochastic lead times, with the objective of minimizing the sum of holding costs and tardiness costs at each stage. Due dates for the batch are assumed for each stage, before which a stage cannot commence. An algorithm is developed which exploits properties of the objective function to find the optimal solution. The second model addresses the problem of determining production I order quantity and planned lead times for components in an assembly system where the demand occurs at a uniform rate, and supply lead times are stochastic. The objective is to minimize the sum of the setup cost, holding costs and the cost of backlogging due to stockouts. An algorithm is presented for a two components case, using convexity properties of the objective function. |
Year | 1992 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. IE-92-29 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Other Field of Studies (No Department) |
Academic Program/FoS | Industrial Engineering (IE) |
Chairperson(s) | Fujiwara, Okitsugu |
Examination Committee(s) | Pandey, P. C.; Saeed, Khalid |
Scholarship Donor(s) | Royal Government of Belgium ; |
Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1992 |