Providing a Lagrangian relaxation algorithm to solve a reliable location- inven-tory model by considering disruption

Somayeh Najafi-Ghobadi; Mahtab Sherafati

Volume 9, Issue 1 , July 2022, , Pages 49-62

http://dx.doi.org/10.22116/jiems.2021.296138.1449

Abstract
  Nowadays, supply chains have been facing significant economic forfeitures because of unpredicted disruptions. Furthermore, managers try to design sustainable and reliable supply chains. In this paper, we present an inventory-location model to propound a reliable three echelon supply chain which includes ...  Read More

A quantitative model for optimization and disruption mitigation in a supply chain (Auto parts case study)

Seyed Ali Alavikia; Mohammad Taghi TaghaviFard; Maghsoud Amiri; Parham Azimi

Volume 6, Issue 1 , June 2019, , Pages 111-129

http://dx.doi.org/10.22116/jiems.2019.87662

Abstract
  However, there is a lot of capital and plenty of manpower in the auto spare part industry, the enterprises and supply chains of this industry do not perform well in our country. This research models a three-level supply chain with multiple manufacturers, distribution centers and retailers, to minimize ...  Read More

Applying queuing theory for a reliable integrated location –inventory problem under facility disruption risks

Masoud Rabbani; Leyla Aliabadi; Razieh Heidari; Hamed Farrokhi-Asl

Volume 4, Issue 2 , December 2017, , Pages 1-18

http://dx.doi.org/10.22116/jiems.2017.54601

Abstract
  This study considers a reliable location – inventory problem for a supply chain system comprising one supplier, multiple distribution centers (DCs), and multiple retailers in which we determine DCs location, inventory replenishment decisions and assignment retailers to DCs, simultaneously. Each ...  Read More