인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 인하대학교 정석물류통상연구원 Journal of International Logistics and Trade Journal of International Logistics and Trade Vol.21 No.3
- 발행연도
- 2023.9
- 수록면
- 110 - 134 (25page)
이용수
초록· 키워드
Purpose – This paper proposes an approach to solve the vehicle routing problem with simultaneous pickup and delivery (VRPSPD) in the context of the Physical Internet (PI) supply chain. The main objective is to minimize the total distribution costs (transportation cost and holding cost) to supply retailers from PI hubs. Design/methodology/approach – Mixed integer programming (MIP) is proposed to solve the problem in smaller instances. A random local search (RLS) algorithm and a simulated annealing (SA) metaheuristic are proposed to solve larger instances of the problem.
Findings – The results show that SA provides the best solution in terms of total distribution cost and provides a good result regarding holding cost and transportation cost compared to other heuristic methods. Moreover, in terms of total carbon emissions, the PI concept proposed a better solution than the classical supply chain. Research limitations/implications – The sustainability of the route construction applied to the PI is validated through carbon emissions.
Practical implications – This approach also relates to the main objectives of transportation in the PI context: reduce empty trips and share transportation resources between PI-hubs and retailers. The proposed approaches are then validated through a case study of agricultural products in Thailand.
Social implications – This approach is also relevant with the reduction of driving hours on the road because of share transportation results and shorter distance than the classical route planning.
Originality/value – This paper addresses the VRPSPD problem in the PI context, which is based on sharing transportation and storage resources while considering sustainability.
Findings – The results show that SA provides the best solution in terms of total distribution cost and provides a good result regarding holding cost and transportation cost compared to other heuristic methods. Moreover, in terms of total carbon emissions, the PI concept proposed a better solution than the classical supply chain. Research limitations/implications – The sustainability of the route construction applied to the PI is validated through carbon emissions.
Practical implications – This approach also relates to the main objectives of transportation in the PI context: reduce empty trips and share transportation resources between PI-hubs and retailers. The proposed approaches are then validated through a case study of agricultural products in Thailand.
Social implications – This approach is also relevant with the reduction of driving hours on the road because of share transportation results and shorter distance than the classical route planning.
Originality/value – This paper addresses the VRPSPD problem in the PI context, which is based on sharing transportation and storage resources while considering sustainability.
#Simultaneous pickup delivery
#Vehicle routing problem
#Physical internet (PI)
#Demand forecasting
#Simulated annealing
#Sustainability
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목차
- Abstract
- 1. Introduction
- 2. Literature review
- 3. Problem statement and assumptions
- 4. Solution approaches
- 5. Experimental results: case study
- 6. Managerial insights
- 7. Conclusion
- References
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