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논문 기본 정보

자료유형
학술저널
저자정보
Aidin Delgoshaei (Kharazmi University) Maryam Farhadi (University Putra Malaysia) Sepehr Hanjani Esmaeili (University Putra Malaysia) Armin Delgoshaei (University Putra Malaysia) Abolfazl Mirzazadeh (Kharazmi University)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.18 No.4
발행연도
2019.12
수록면
825 - 844 (20page)
DOI
10.7232/iems.2019.18.4.825

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초록· 키워드

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In today’s life, using fashion goods is a vital. Ignoring the sale scheduling of fashion goods causes big harms to supply chains. In this research, an Integer Programming model is developed to schedule product distributing, transferring and selling fashion goods in downstream phase of supply chains while market demands are considered dynamic and can be varied from period to period. In continue due to high complexity of the proposed model, a hybrid Genetic and Simulated Annealing algorithms is developed. The proposed algorithm is flexible enough to be used for real industries. The outcomes indicated that, the proposed hybrid algorithm can successfully solve large scale case studies in a reasonable time. The results also showed that, while the market demands of fashion goods are not deterministic, distributing and transferring products into retailers can play a key role in a supply chain. The proposed algorithm is then applied for a fashion clothing company in Malaysia.

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ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. RESEARCH METHODOLOGY
4. A HYBRID GENETIC ALGORITHM AND SIMULATED ANNEALING
5. DESIGN OF EXPERIMENTS
6. RESULTS AND DISCUSSION
7. CONCLUSIONS
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