A New Location and Routing Model for Cross-Docking of Fresh Produce

Zhuo Sun (), Peixiu Han (), Jiming Liu () and Yi Zuo
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Zhuo Sun: Faculty of Transportation Engineering, Dalian Maritime University, 1 Linghai Road, Dalian, Liaoning, P. R. China
Peixiu Han: Faculty of Transportation Engineering, Dalian Maritime University, 1 Linghai Road, Dalian, Liaoning, P. R. China
Jiming Liu: Faculty of Transportation Engineering, Dalian Maritime University, 1 Linghai Road, Dalian, Liaoning, P. R. China
Yi Zuo: Navigation College, Big Data & Artificial Intelligent Application Center, Dalian Maritime University, 1 Linghai Road, Dalian, Liaoning, P. R. China

Asia-Pacific Journal of Operational Research (APJOR), 2021, vol. 38, issue 04, 1-29

Abstract: Traditional fresh produce logistics involve long transportation times and high loss rates. Cross-docking systems can significantly improve these issues but bring the challenge of mid-term planning in which vehicles have to be synchronized promptly at the selected cross-docks. This study proposes a new location and routing model for the cross-docking of fresh produce. Exact solutions of small-scale cases show that the model can greatly reduce the transportation time and loss rate. For real-world, large-scale cases, a greedy and biogeography-based optimization algorithm (G-BBO) is devised and tested to obtain near-optimal solutions within a reasonable time.

Keywords: Fresh produce; cross-docking; location routing problem; G-BBO (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0217595920500554

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