2005 Fiscal Year Final Research Report Summary
Production Planning and Management System for Implementing Mass Customization Considering of Recycle Design
| Project/Area Number |
16510118
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Prefectural University of Hiroshima (2005)
Hiroshima Prefectural University (2004) |
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Principal Investigator |
UENO Nobuyuki Prefectural University of Hiroshima, Management and Information Systems, Professor, 経営情報学部, 教授 (50336913)
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| Co-Investigator(Kenkyū-buntansha) |
OKUHARA Koji Prefectural University of Hiroshima, Management and Information Systems, Associate Professor, 経営情報学部, 助教授 (40284161)
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| Project Period (FY) |
2004 – 2005
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| Keywords | Mathematical Programming / Environment / Modeling / Production Planning / Mass Customization |
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| Research Abstract |
1. The production and management system to implement mass customization (it being called Mass Customization Production Management System ; MCPS) which realizes both the diversification of customer needs and production efficiency was formulated as a stochastic programming problem and an efficient solving method was developed. A sub problem of MCPS is solved repeatedly by linear programming and after some iterations a solution is obtained. And, by applying MCPS, the total design procedure for Mass customization was proposed to solve sequentially by MCPS and ordinary scheduling software.
2. One-item MCPS was extended to the "multi-item model", and its validity was checked by numerical experiments.
3. Safety stock replacement in consideration of item commonality under mass customization was developed, and its validity was checked in a numerical computation.
4. The validity was checked for the improved efficient solution method of a new lot sizing problem in a numerical computation.
5. The integrated model of production and recycling under mass customization was formulated as the function of recycling ratio, a fixed lead time and a fixed repairing ratio. And the efficient solution method was developed. Its validity was checked by numerical experiment.
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