Affiliations: [a] School of Business and Management, Jiangxi University of Finance and Economics, Nanchang, China
| [b] Warwick Manufacturing Group, University of Warwick, Coventry, UK
Correspondence:
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Corresponding author. Xuefeng Wang, School of Business and Management, Jiangxi University of Finance and Economics, Nanchang, China. E-mail: [email protected].
Abstract: Urban distribution is regard as a time- and labor-consuming logistics activity which is critical to the residents’ daily life and municipal administration. To address this challenging practical problem, a novel multi-objective location-routing problem with simultaneous pickup and delivery is proposed. The problem seeks to minimize distribution operation cost and maximize service level by constructing a more effective logistics network. In the problem formulation, two types of delivery service modes and a fuzzy satisfaction function are use to describe the characteristics of urban distribution in real world application. To solve this specific problem, a hybrid heuristic algorithm combining tabu search and efficient procedures is presented. Through evaluating the effects of time window and service mode, and comparing heuristics performance on solving problem instances, the experimental results demonstrate the validity of the proposed model formulation and heuristic approach.
Keywords: Multi-objective, location-routing problem, simultaneous pickup and delivery, time window, urban distribution