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Growing Science » Uncertain Supply Chain Management » Designing a location-routing model for cross docking in green supply chain

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Uncertain Supply Chain Management
ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print)
Quarterly Publication
Volume 7 Issue 1 pp. 1-16, 2019

Designing a location-routing model for cross docking in green supply chain Pages 1-16 PDF Download PDF

Authors: Afrouz Rahmandoust, Roya Soltani

📋 Author Affiliations:
A. Rahmandoust, R. Soltani ORCID
¹ Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
doi 10.5267/j.uscm.2018.7.001
Crossref 14 Source: CrossRef

🔑 Keywords: Cross docking, Vehicle location-routing, Multiproduct, Various vehicles, Split pickup and delivery, Green Supply Chain Management

Abstract: Today, most industrial managers in the world are interested in protecting the environment and biological resources. On the other hand, current technologies are getting momentum towards specialization and globalization. Thus, in order to remain in a highly competitive world market, producers have to respond to the customers' demands under different circumstances. The leading role of distribution centers to deliver products to customers on time and to reduce the costs of stock maintenance has attracted the attention of many supply chain managers in current competitive conditions. Cross docking is a logistic strategy aiming to reduce the stock and increase the level of customer's satisfaction. Products are delivered from the supplier to the customers through cross docking. In this paper, a nonlinear multiproduct vehicle location-routing model is presented with heterogeneous vehicles. Each truck can carry one or more types of products. In other words, compatibility between product and vehicle has been accounted for here. This model aims to find out the possible minimum number of cross dockings among the existing set of discrete locations and minimize the total cost of opening cross docking centers as well as vehicle transportation (distribution and operation cost) costs. In sum, the model aims to find the number of cross docking centers, the number of vehicles and the best route in the distribution network. Since the model is mixed integer programming, to apply the model to medium and large scale problems, meta innovative genetic and particle swarm optimization algorithms are introduced. The results obtained from examining various problems show high efficiency of the proposed methods.

How to cite this paper
APA: Rahmandoust, A & Soltani, R. (2019). Designing a location-routing model for cross docking in green supply chain. Uncertain Supply Chain Management, 7(1), 1-16.
Chicago/Turabian: Rahmandoust, A & Soltani, R. 2019. "Designing a location-routing model for cross docking in green supply chain." Uncertain Supply Chain Management 7, no. 1 (2019): 1-16.
AMA: Rahmandoust, A & Soltani, R. Designing a location-routing model for cross docking in green supply chain. Uncertain Supply Chain Management. 2019;7(1):1-16.

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📚 Journal: Uncertain Supply Chain Management | 📅 Year: 2019 | 📖 Volume: 7 | 📄 Issue: 1 | 👁️ Views: 3239 | 📊 Crossref: 14

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