Designing a supply chain network under the risk of disruptions
type: Item
instance of: scholarly article
title: Designing a supply chain network under the risk of disruptions
zbMATH Open document ID: 1264.90017
DOI: 10.1155/2012/234324
author: Armin Jabbarzadeh
author: Seyed Gholamreza Jalali Naini
author: H. Davoudpour
author: Nader Azad
published in: Mathematical Problems in Engineering
publication date: 2013-06-11T00:00:00Z
review text: Summary: We study a supply chain design problem with the risk of disruptions at facilities. At any point of time, the facilities are subject to various types of disruptions caused by natural disasters, man-made defections, and equipment breakdowns. We formulate the problem as a mixed-integer nonlinear program which maximizes the total profit for the whole system. The model simultaneously determines the number and location of facilities, the subset of customers to serve, the assignment of customers to facilities, and the cycle-order quantities at facilities. In order to obtain near-optimal solutions with reasonable computational requirements for large problem instances, two solution methods based on Lagrangian relaxation and genetic algorithm are developed. The effectiveness of the proposed solution approaches is shown using numerical experiments. The computational results, in addition, demonstrate that the benefits of considering disruptions in the supply chain design model can be significant.
Mathematics Subject Classification ID: 90B06
Mathematics Subject Classification ID: 90B50
zbMATH DE Number: 6173108
Wikidata QID: Q58911311
describes a project that uses: MENU-OKF
describes a project that uses: MOD-DIST
describes a project that uses: SITATION
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/234324
OpenAlex ID: W2047600158
cites work: An inventory-location model: Formulation, solution algorithm and computational results
cites work: Stochastic Transportation-Inventory Network Design Problem
cites work: Incorporating inventory and routing costs in strategic location models
cites work: Integrated supply chain design models: a survey and future research directions
cites work: Facility location and supply chain management. A review
cites work: The stochastic location model with risk pooling
cites work: Capacitated warehouse location model with risk pooling
cites work: Multi-source facility location-allocation and inventory problem
cites work: Facility Reliability Issues in Network p-Median Problems: Strategic Centralization and Co-Location Effects
cites work: A facility reliability problem: Formulation, properties, and algorithm
cites work: Reliable Facility Location Design Under the Risk of Disruptions
cites work: Analysis of facility protection strategies against an uncertain number of attacks: the stochastic R-interdiction median problem with fortification
cites work: A supply chain design model with unreliable supply
cites work: A profit-maximizing supply chain network design model with demand choice flexibility
cites work: Q5358751
cites work: On the use of genetic algorithms to solve location problems
cites work: An efficient genetic algorithm for the \(p\)-median problem
cites work: Solving the multiple competitive facilities location problem
cites work: A genetic algorithm for a single product network design model with lead time and safety stock considerations
cites work: Q3328287
cites work: Q4857376
description: scientific article; zbMATH DE number 6173108