Volume 28, Issue 1 (IJIEPR 2017)                   IJIEPR 2017, 28(1): 21-31 | Back to browse issues page

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Teimoury E, Saeedi F, Makui A. A Mathematical Model for City Logistics Distribution Network Design with the Aim of Minimizing Response Time. IJIEPR 2017; 28 (1) :21-31
URL: http://ijiepr.iust.ac.ir/article-1-728-en.html
1- Department of Industrial Engineering, Iran University of Science and Technology , teimoury@iust.ac.ir
2- Department of Industrial Engineering, Iran University of Science and Technology
Abstract:   (5756 Views)

Recently, urbanization has been expanded rapidly in the world and a number of metropolitan areas have been appeared with a population of more than 10 million people. Because of dense population in metropolitan and consequently increasing the delivery of goods and services, there has been a lot of problems including traffic congestion, air pollution, accidents and high energy consumption. This made some complexities in distribution of urban goods; Therefore, it is essential to provide creative solutions to overcome these complexities. City logistics models can be effective in solving these complexities.

In this paper, concepts and definitions related to city logistics are explained to provide a mathematical model in order to design city logistics distribution network aim at minimizing response times. This objective is effective for goods and emergency services, especially in times of crisis and also for goods that are delivered as soon as possible. This is a three-level network and has been used in modeling of queuing theory. To validate the model, a numerical example has been established and results of the model have been explained using BARON solver in Gams software. Finally, conclusions and recommendations for future research are presented.

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  1. the concept of city logistics has rarely been connected with social goals, especially urban crises and delivery of emergency goods.

  2. this study modeled a city logistics distribution network with the aim of minimizing response time.

  3. the aim of minimizing response time is optimal and may be efficient for emergency goods and services, especially at the time of crisis, as well as goods which require minimum delivery time.

  4. Fixing the intra-city flow of goods by establishing distribution centers is a well-known and useful method.

Queueing theory can be used in analyzing the performance of time-dependent systems.

Type of Study: Research | Subject: Logistic & Apply Chain
Received: 2017/03/14 | Accepted: 2017/06/11 | Published: 2017/06/18

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