Volume 28, Number 2 (IJIEPR 2017)                   IJIEPR 2017, 28(2): 189-199 | Back to browse issues page



DOI: 10.22068/ijiepr.28.2.189

XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Shadman A, Bozorgi-Amiri A, Rahmani D. A mathematical model for vehicle routing and scheduling problem with cross-docking by considering risk. IJIEPR. 2017; 28 (2) :189-199
URL: http://ijiepr.iust.ac.ir/article-1-686-en.html

Assistant Professor School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran , alibozorgi@ut.ac.ir
Abstract:   (376 Views)

Today, many companies after achieving improvements in manufacturing operations are focused on the improvement of distribution systems and have long been a strong tendency to optimize the distribution network in order to reduce logistics costs that the debate has become challenging. Improve the flow of materials, an activity considered essential to increase customer satisfaction. In this study, we benefit cross docking method for effective control of cargo flow to reduce inventory and improve customer satisfaction. Also every supply chain is faced with risks that threaten its ability to work effectively. Many of these risks are not in control but can cause great disruption and costs for the supply chain process. In this study we are looking for a model to collect and deliver the demands for the limited capacity vehicle in terms of disruption risk finally presented a compromised planning process. In fact, we propose a framework which can consider all the problems on the crisis situation for decision-making in these conditions, by preparing a mathematical model and software gams for the following situation in a case study. In the first step, the results presented in mode of a two-level planning then the problem expressed in form of a multi-objective optimization model and the results was explained.

Full-Text [PDF 802 kb]   (137 Downloads)    
Type of Study: Research | Subject: Facilities Planning and Management
Received: 2016/07/16 | Accepted: 2017/07/12 | Published: 2017/07/15

Add your comments about this article : Your username or email:
Write the security code in the box

Send email to the article author


© 2015 All Rights Reserved | International Journal of Industrial Engineering & Production Research

Designed & Developed by : Yektaweb