Designing sustainable city logistics distribution network using a probabilistic bi-objective mathematical model

Saeedi, F.; Teimoury, E.; Makui, A.

Growing Science » Uncertain Supply Chain Management » Designing sustainable city logistics distribution network using a probabilistic bi-objective mathematical model

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Uncertain Supply Chain Management

ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print) Quarterly Publication Volume 6 Issue 4 pp. 357-374 , 2018

Designing sustainable city logistics distribution network using a probabilistic bi-objective mathematical model Pages 357-374 Download PDF

Authors: Farshad Saeedi, Ebrahim Teimoury, Ahmad Makui

DOI: 10.5267/j.uscm.2018.3.001

Keywords: City logistics, City distribution centers, Sustainability, Carbon emissions, Network design, Queuing theory

Abstract: Today, urban areas have been considerably expanded, which has caused numerous problems due to the large population in metropolitan areas. City logistics models can be effective in solving complicated problems such as traffic congestion, air pollution, accidents, and high energy consumption rate. The present paper proposes a bi-objective mathematical model for designing a city logistics distribution network in order to minimize the economic and environmental costs as well as the response time. The proposed model would make decisions on the location and allocation problems in the city logistics distribution network. In fact, the objective of the problem is to select some fixed sites in order to construct the city distribution centers. The demand for commodities is considered probabilistic and the network is modeled based on the queuing theory. Furthermore, in the proposed model, the policy of putting tax on carbon and applying the low-carbon emission resources are used for establishment at the city distribution centers. Afterwards, in order to validate the proposed model, a numerical example is generated and, then, the results obtained from solving the model via epsilon constraint method are presented. Analysis of the results in the present study indicates that the proposed model was highly efficient in achieving its objectives. Finally, there are some suggestions for future studies that can be taken into account.

How to cite this paper

 Saeedi, F., Teimoury, E & Makui, A. (2018). Designing sustainable city logistics distribution network using a probabilistic bi-objective mathematical model.Uncertain Supply Chain Management, 6(4), 357-374.

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