[1]LI Bing,DANG Jiajun.Fresh agricultural cargoes location-routing optimization with simultaneous pickup and delivery for multiple distribution centers[J].CAAI Transactions on Intelligent Systems,2020,15(1):50-58.[doi:10.11992/tis.201905042]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
15
Number of periods:
2020 1
Page number:
50-58
Column:
学术论文—智能系统
Public date:
2020-01-05
- Title:
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Fresh agricultural cargoes location-routing optimization with simultaneous pickup and delivery for multiple distribution centers
- Author(s):
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LI Bing; DANG Jiajun
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School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China
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- Keywords:
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fresh agricultural cargoes; distribution center; simultaneous pickup and delivery; location-routing problem; route optimization; time windows; central evaluation indicator; improved genetic algorithm
- CLC:
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TP391
- DOI:
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10.11992/tis.201905042
- Abstract:
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The distribution center location and the vehicle pick-up and delivery are two important parts in the fresh agricultural cargoes organization for multiple distribution centers. In this paper, we present the location-routing problem with simultaneous pick-up and delivery of fresh agricultural cargoes. Firstly, a non-linear programming model is formulated with the constraints of vehicle capacity, operation time for cargoes and time windows for pick-up and delivery. The objective function of the model is to minimize the total distribution cost that is composed of transportation cost, penalty cost and damage cost in all distribution areas. Secondly, the heuristic algorithm combining central evaluation indicator and improved genetic algorithm are given according to the characteristics of the model. The distribution center and the vehicle distribution area are determined by the central evaluation indicator. After that, the result of distribution areas division is put into the improved genetic algorithm for improving vehicle routing. Finally, the separate mode and simultaneous mode of pick-up and delivery are compared, proving that the later mode proposed in this paper is reasonable and effective. The study can provide the the basis for decision-making of fresh agricultural cargoes organization for enterprise.