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A Bi-Level Programming For Reverse Logistics Network Design

نویسنده:
فرزاد دهقانیان
,
فاطمه مهدوی جعفری
,
وحید عدالت پور
,
Farzad Dehghanian
,
fatemeh mahdavi mahdavi
,
vahid edalat pour
سال
: 2012
چکیده: In this paper a nonlinear mixed integer bi-level programming model for designing a reverse logistics network is presented. The main goal for designing this network is to collect the End-of-Life (EOL) products and sending them for recycling in the supervision of the government. So the government purchased the EOLs from the customer zones and collects them in collection centers and then sells them to private sector for recycling. Government is the leader in this model and minimizes the total costs of purchasing and transportation of EOLs and defines the optimal price for purchasing and selling of EOLs. Private sector is considered as the follower and seeks to maximize its profit via recycling. Since the bi-level programming models are NP-hard, a heuristic approach based on the genetic algorithm has been applied to solve the presented bi-level model. Finally in this paper, results are given for an illustrative example.
یو آر آی: https://libsearch.um.ac.ir:443/fum/handle/fum/3383203
کلیدواژه(گان): Bi-level programming,reverse logistics,End-Of-Life(EOL) product,Genetic algorithm
کالکشن :
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    A Bi-Level Programming For Reverse Logistics Network Design

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contributor authorفرزاد دهقانیانen
contributor authorفاطمه مهدوی جعفریen
contributor authorوحید عدالت پورen
contributor authorFarzad Dehghanianfa
contributor authorfatemeh mahdavi mahdavifa
contributor authorvahid edalat pourfa
date accessioned2020-06-06T14:07:13Z
date available2020-06-06T14:07:13Z
date copyright7/3/2012
date issued2012
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/3383203
description abstractIn this paper a nonlinear mixed integer bi-level programming model for designing a reverse logistics network is presented. The main goal for designing this network is to collect the End-of-Life (EOL) products and sending them for recycling in the supervision of the government. So the government purchased the EOLs from the customer zones and collects them in collection centers and then sells them to private sector for recycling. Government is the leader in this model and minimizes the total costs of purchasing and transportation of EOLs and defines the optimal price for purchasing and selling of EOLs. Private sector is considered as the follower and seeks to maximize its profit via recycling. Since the bi-level programming models are NP-hard, a heuristic approach based on the genetic algorithm has been applied to solve the presented bi-level model. Finally in this paper, results are given for an illustrative example.en
languageEnglish
titleA Bi-Level Programming For Reverse Logistics Network Designen
typeConference Paper
contenttypeExternal Fulltext
subject keywordsBi-level programmingen
subject keywordsreverse logisticsen
subject keywordsEnd-Of-Life(EOL) producten
subject keywordsGenetic algorithmen
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1029982.html
conference titleInternational Conference on Industrial Engineering and Operations Managementen
conference locationاستانبولfa
identifier articleid1029982
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