Designing a Reliable Distribution Network with Facility Fortification and Transshipment under Partial and Complete Disruptions

Authors

  • Jafar Namdar School of Industrial Engineering, College of Engi, University of Tehran
  • Navid Sahebjamnia Department of Industrial Engineering, University of science and technology of mazandaran
Abstract:

This paper designs a reliability distribution network with limited capacity under partial and complete facility disruptions. To increase the reliability of the distribution network, a new mixed integer linear programing model is developed by considering multiple mitigation strategies including diversification, fortification, and transshipment. The distribution network constitutes of reliable distribution centers are more expensive, always available and not affected by disruption, and unreliable distribution centers. Thus, they might be fortified at any level of reliability. Several numerical examples with sensitivity analyses are conducted to illustrate the usefulness of the proposed model. Results demonstrate that the transshipment strategy is more effective than the other mitigation strategies on distribution network reliability and cost.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

An integrated model for designing a distribution network of products under facility and transportation link disruptions

Due to occurrence of unexpected disruptions,a resilient supply chain design is important. In this paper, a bi-objective model is proposed for designing a resilient supply chain including suppliers, distribution centers (DCs), and retailers under disruption risks.The first objective function minimizes total costs. The second objective function maximizes satisfied demands. We use the augmented e-...

full text

Reliable Designing of Capacitated Logistics Network with Multi Configuration Structure under Disruptions: A Hybrid Heuristic Based Sample Average Approximation Algorithm

We consider the reliable multi configuration capacitated logistics network design problem (RMCLNDP) with system disruptions, concerned with facilities locating, transportation links constructing, and also allocating their limited capacities to the customers in order to satisfy their demands with a minimum expected total cost (including locating costs, link constructing costs, as well as expecte...

full text

A credibility-constrained programming for reliable forward-reverse logistics network design under uncertainty and facility disruptions

Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opin...

full text

Robust and reliable forward–reverse logistics network design under demand uncertainty and facility disruptions

There are two broad categories of risk, which influence the supply chain design and management. The first category is concerned with uncertainty embedded in the model parameters, which affects the problem of balancing supply and demand. The second category of risks may arise from natural disasters, strikes and economic disruptions, terroristic acts, and etc. Most of the existing studies surveye...

full text

Reliable logistics networks design with facility disruptions

This paper studies a strategic supply chain management problem to design reliable networks that perform as well as possible under normal conditions, while also performing relatively well when disruptions strike. We present a mixed-integer programming model whose objective is to minimize the nominal cost (the cost when no disruptions occur) while reducing the disruption risk using the p-robustne...

full text

Reliable Facility Location Design Under the Risk of Disruptions

Reliable Facility Location Design under the Risk of Disruptions Tingting Cui Department of Industrial Engineering and Operations Research, University of California, Berkeley, CA 94720 [email protected] Yanfeng Ouyang Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 [email protected] Zuo-Jun Max Shen Department of Indust...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 29  issue 9

pages  1273- 1281

publication date 2016-09-01

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023