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논문 기본 정보

자료유형
학술저널
저자정보
Shunichi Ohmori (Waseda University) Kazuho Yoshimoto (Waseda University)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.20 No.3
발행연도
2021.9
수록면
429 - 444 (16page)
DOI
10.7232/iems.2021.20.3.429

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초록· 키워드

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We consider a collaborative vehicle-routing problem involving two or more companies jointly operating delivery fulfillment. It is known that the collaborative routing improves the delivery efficiency that results in a lower cost, CO₂ emission, and traffic congestions. However, cost allocation is a major challenge in the establishment of collaboration because each company has a set of customers whose locations and demands are different. In this paper, we propose an optimization-based framework for determining the optimal vehicle routing and cost allocation of companies in a collaboration, in an unbiased manner. The proposed method relies on max–min fairness that is a widely accepted concept. We formulated this problem as a multi-objective optimization problem. Thereafter, we reformulated the single-objective problem in which the fairness is considered by maximizing the minimum utility of each company in the collaboration. We quantify the utility by applying a fuzzy membership function based on the gained cost benefit. We present computational results ranging from 10 to 80 customers. In all cases, significant improvements are observed in the cost-benefit balance each company gains over the one obtained through the methods compared.

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ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. PROPOSED FRAMEWORK
4. NUMERICAL EXPERIMENTS
5. CONCLUSION
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