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Sustainability 2016, 8(8), 828; doi:10.3390/su8080828

Location-Routing Problem with Simultaneous Home Delivery and Customer’s Pickup for City Distribution of Online Shopping Purchases

1
,
2,3,* , 1,2
and
1,2
1
College of Mechanical Engineering, Chongqing University, Chongqing 400030, China
2
Chongqing Key Laboratory of Logistics, Chongqing University, Chongqing 400030, China
3
State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China
*
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 21 June 2016 / Revised: 7 August 2016 / Accepted: 18 August 2016 / Published: 22 August 2016
(This article belongs to the Special Issue Sustainability in Supply Chain Management)
View Full-Text   |   Download PDF [1627 KB, uploaded 22 August 2016]   |  

Abstract

With the increasing interest in online shopping, the Last Mile delivery is regarded as one of the most expensive and pollutive—and yet the least efficient—stages of the e-commerce supply chain. To address this challenge, a novel location-routing problem with simultaneous home delivery and customer’s pickup is proposed. This problem aims to build a more effective Last Mile distribution system by providing two kinds of service options when delivering packages to customers. To solve this specific problem, a hybrid evolution search algorithm by combining genetic algorithm (GA) and local search (LS) is presented. In this approach, a diverse population generation algorithm along with a two-phase solution initialization heuristic is first proposed to give high quality initial population. Then, advantaged solution representation, individual evaluation, crossover and mutation operations are designed to enhance the evolution and search efficiency. Computational experiments based on a large family of instances are conducted, and the results obtained indicate the validity of the proposed model and method. View Full-Text
Keywords: location-routing problem; simultaneous home delivery and customer’s pickup; genetic algorithm location-routing problem; simultaneous home delivery and customer’s pickup; genetic algorithm
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Zhou, L.; Wang, X.; Ni, L.; Lin, Y. Location-Routing Problem with Simultaneous Home Delivery and Customer’s Pickup for City Distribution of Online Shopping Purchases. Sustainability 2016, 8, 828.

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