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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.18 No.4
- 발행연도
- 2019.12
- 수록면
- 872 - 883 (12page)
- DOI
- 10.7232/iems.2019.18.4.872
이용수
초록· 키워드
오류제보하기
The focus of this study is to develop a multi-period multi-product (MPMP) production planning system with uncertainty, and products demand (seasonal demand) uncertainty. Mainly, the problem aims reach the production levels of each product according to the uncertain demand for various periods, which depend on constraints of capacity, inventory, and resources. An analytical model proposed for this problem that can be categorized into two classes: non-linear and stochastic. The objective is to minimize the summation of variable production costs. As uncertain demand is a dynamic stochastic data process in the planning horizon, it is considered as a tree model. Each stage in the demand tree model is related to a cluster of a period time. Hence, depending on the tree model for the fluctuation demand; Two-Stage Stochastic Programming (TSP) model is presented as an alternative for all demand scenarios. In some of the reviewed articles validation of the analytical model were missing, while other studies were missing either manufacturing set up costs or assumptions of seasonal demand. Therefore, this study proposes TSP model using Sampling Average Approximation method (SAA) that is suitable for a production planning system in any manufacturing environment considering seasonal demand using optimization program (Lingo 16) to solve the mathematical model. Further, investigation of seasonal demand is performed using the multiplicative seasonal method, and the model validation was checked using Mathworks Matlab R2015a (64-Bit) considering manufacturing set up costs. Finally, some recommendations for future research are suggested.
목차
ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. METHODOLOGY
4. CASE STUDY
5. CONCLUSIONS
REFERENCES
참고문헌 (19)
참고문헌 신청
Al-Ashhab, M. / 2016 / An optimization model for multiperiod multi-product multi-objective production planning / International Journal of Engineering &Technology 16(1):43~56
Alfieri, A. / 2005 / Stochastic programming models for manufacturing applications: A tutorial introduction, design of advanced manufacturing systems, models for capacity planning in advanced manufacturing systems / Springer :73~124
Bakir, M. / 1998 / Stochastic linear optimization of an MPMP production planning model / In-ternational Journal of Production Economics 55(1):87~96
Byrne, D. / 2005 / Production planning : An improved hybrid approach / International Journal of Production Economics 94:225~229
Entezaminia, A. / 2016 / A multi-objective model for multi-product multi-site aggregate production planning in a green supply chain : Considering collection and recycling centers / Journal of Manufacturing Systems 40(1):63~75
Alfieri, A. / 2005 / Stochastic programming models for manufacturing applications: A tutorial introduction, design of advanced manufacturing systems, models for capacity planning in advanced manufacturing systems / Springer :73~124
Bakir, M. / 1998 / Stochastic linear optimization of an MPMP production planning model / In-ternational Journal of Production Economics 55(1):87~96
Byrne, D. / 2005 / Production planning : An improved hybrid approach / International Journal of Production Economics 94:225~229
Entezaminia, A. / 2016 / A multi-objective model for multi-product multi-site aggregate production planning in a green supply chain : Considering collection and recycling centers / Journal of Manufacturing Systems 40(1):63~75
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