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논문 기본 정보

자료유형
학술저널
저자정보
Anjali Chaudhary (Princess Nourah bint Abdulrahman University) Dinesh Mavaluru (Saudi Electronic University)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.20 No.4
발행연도
2021.12
수록면
629 - 636 (8page)
DOI
10.7232/iems.2021.20.4.629

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초록· 키워드

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Over the last three decades, the integrated optimization approach to logistics systems has become one of the most important aspects of supply chain management optimization. This approach simultaneously examines the relationships between facility locations, supplier / customer allocation to facilities, transportation route structure, and inventory planning and control. One of the most important issues in logistics decisions is location-routing. In this case, the number and location of facilities, the size of the transport fleet, and the structure of the routes are determined according to the location and characteristics of suppliers and customers. In this paper, a mathematical model of the problem with consideration of product decay time constraints and solving with efficient meta-heuristic methods based on ant colony optimization (ACO) and particle swarm optimization (PSO) is presented. The comparison of the results of the two algorithms shows that the ant colony optimization (ACO) is faster in terms of convergence rate and the number of solution iterations is less than the particle swarm algorithm.

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ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. MATHEMATICAL MODELING
4. DATA ANALYSIS & RESEARCH FINDINGS
5. CONCLUSION
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