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논문 기본 정보

자료유형
학술저널
저자정보
Kaveh Khalili-Damghani (Islamic Azad University) Ayda Shahrokh (Industrial Management Institute, Tehran, Iran)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems 제13권 제4호
발행연도
2014.12
수록면
369 - 382 (14page)

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초록· 키워드

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This paper introduces a new multi-product multi-period multi-objective aggregate production planning problem. The proposed problem is modeled using multi-objective mixed-integer mathematical programming. Three objective functions, including minimizing total cost, maximizing customer services level, and maximizing the quality of endproduct, are considered, simultaneously. Several constraints such as quantity of production, available time, work force levels, inventory levels, backordering levels, machine capacity, warehouse space and available budget are also considered. Some parameters of the proposed model are assumed to be qualitative and modeled using fuzzy sets. Then, a fuzzy goal programming approach is proposed to solve the model. The proposed approach is applied on a real-world industrial case study of a color and resin production company called Teiph-Saipa. The approach is coded using LINGO software. The efficacy and applicability of the proposed approach are illustrated in the case study. The results of proposed approach are compared with those of the existing experimental methods used in the company. The relative dominance of the proposed approach is revealed in comparison with the experimental method. Finally, a data dictionary, including the way of gathering data for running the model, is proposed in order to facilitate the reimplementation of the model for future development and case studies.

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ABSTRACT
1. INTRODUCTION
2. LITERATURE OF PAST WORKS
3. MULTI-OBJECTIVE MULTI-PERIOD MULTI-PRODUCT AGGREGATE PRODUCTION PLANNING PROBLEM
4. SOLUTION PROCEDURE
5. CONCLUSIONS
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