Title: Greening flow allocation in logistics network based on a two-stage algorithm

Authors: Sha Tao; Zhi-Hua Hu; Zhao-Han Sheng

Addresses: School of Engineering and Management, Nanjing University, No. 22 Hankou Rd., Gulou District, Nanjing City, Jiangsu 210093, China ' Logistics Research Center, Shanghai Maritime University, No. 1550 Haigang Av., Pudong District, Shanghai 200135, China ' School of Engineering and Management, Nanjing University, No. 22 Hankou Rd., Gulou District, Nanjing City, Jiangsu 210093, China

Abstract: Green traffic allocation is a strategy to proactively reduce pollution in logistics network. A bi-objective programming model taking into account the green and economic benefits was built for the green traffic flow allocation problem on logistics network, and then a two-stage algorithm was designed. In the first stage, alternative paths are generated for each origin-destination flow by iterating the k-shortest path algorithm. In the second stage, the solution of traffic allocation with best green utility is chosen from candidate solutions. By numeric simulation under different scenarios, the model and algorithm were verified and numeric analysis was conducted with some valuable conclusions.

Keywords: green traffic allocation; green logistics; k-shortest path; heuristics; greening flow allocation; logistics networks; environmental pollution.

DOI: 10.1504/IJADS.2015.072141

International Journal of Applied Decision Sciences, 2015 Vol.8 No.3, pp.223 - 240

Received: 27 Jun 2014
Accepted: 25 Apr 2015
Published online: 01 Oct 2015 *

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