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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.18 No.1
- 발행연도
- 2019.3
- 수록면
- 52 - 66 (15page)
- DOI
- 10.7232/iems.2019.18.1.052
이용수
초록· 키워드
오류제보하기
We have considered the problem of manpower planning with Annualized hours (AH) flexibility. AH is a method of distributing working hours with respect to the demand over a year. The contribution of this paper is to propose a new multi-objective annualized hours planning problem model (MOAHPP). We extended the previous AH models to multi-objective model with fuzzy parameters and fuzzy goal hierarchies. Also, a modified fuzzy goal programming method is proposed and applied on MOAHPP. The proposed model is the best fit when there is a need for minimizing capacity shortage of multiple tasks, overtime cost and under time with imprecise linguistic preference hierarchies among goals. Finally, an experimental study is performed to validate the manpower planning model and analyze the effectiveness of the proposed hybridized method. We found that the proposed method provides more information and wider applicability to the decision maker for better and efficient decision making by considering extended objective function. It provides a better compromise solution for the multi-objective AH planning problem.
목차
ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW ANDCONTRIBUTION
3. PROBLEM FORMULATION
4. SOLUTION METHODOLOGY
5. EXPERIMENTAL STUDY
6. CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2019-530-000561320