A novel approach for multi-period reverse logistics network design under high uncertainty

Gül T. Temur; Seda Yanık

doi:10.2991/ijcis.2017.10.1.77

A novel approach for multi-period reverse logistics network design under high uncertainty

Gül T. Temur
, Seda Yanık

Endüstri Mühendisliği Bölümü

Bahcesehir University

Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

6 Atıf (Scopus)

Özet

In this paper, a multi-period multi-echelon reverse logistics network design problem under high extent of uncertainty is addressed. We first formulate and then solve the multi-period network design model using the cloudbased design optimization framework which ensures to: (1) handle high number of uncertain factors; (2) propose alternative solution to traditional approaches; (3) provide a robust solution which strengthens decision makers against unexpected situations. Finally, applicability of the presented approach is tested through a dataset of e-waste reverse logistics network.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	1168-1185
Sayfa sayısı	18
Dergi	International Journal of Computational Intelligence Systems
Hacim	10
Basın numarası	1
DOI'lar	https://doi.org/10.2991/ijcis.2017.10.1.77
Yayın durumu	Yayınlandı - Oca 2017

Bibliyografik not

Publisher Copyright:
© 2017, the Authors.

Finansman

This research has been conducted in partial support of the Istanbul Technical University Scientific Research Projects (ITU-BAP) Grant #38319. The authors are thankful to ITU-BAP for this support.

Finansörler	Finansör numarası
Istanbul Teknik Üniversitesi
Bilimsel Araştırma Projeleri Birimi, İstanbul Teknik Üniversitesi	#38319

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 9 Sanayi, Yenilikçilik ve Altyapı

Belgeye Erişim

10.2991/ijcis.2017.10.1.77

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "A novel approach for multi-period reverse logistics network design under high uncertainty",

abstract = "In this paper, a multi-period multi-echelon reverse logistics network design problem under high extent of uncertainty is addressed. We first formulate and then solve the multi-period network design model using the cloudbased design optimization framework which ensures to: (1) handle high number of uncertain factors; (2) propose alternative solution to traditional approaches; (3) provide a robust solution which strengthens decision makers against unexpected situations. Finally, applicability of the presented approach is tested through a dataset of e-waste reverse logistics network.",

keywords = "Cloud based design optimization, Mixed integer programming, Network design, Reverse logistics, Uncertainty",

author = "Temur, \{G{\"u}l T.\} and Seda Yanık",

note = "Publisher Copyright: {\textcopyright} 2017, the Authors.",

year = "2017",

month = jan,

doi = "10.2991/ijcis.2017.10.1.77",

language = "English",

volume = "10",

pages = "1168--1185",

journal = "International Journal of Computational Intelligence Systems",

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T1 - A novel approach for multi-period reverse logistics network design under high uncertainty

AU - Temur, Gül T.

AU - Yanık, Seda

PY - 2017/1

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AB - In this paper, a multi-period multi-echelon reverse logistics network design problem under high extent of uncertainty is addressed. We first formulate and then solve the multi-period network design model using the cloudbased design optimization framework which ensures to: (1) handle high number of uncertain factors; (2) propose alternative solution to traditional approaches; (3) provide a robust solution which strengthens decision makers against unexpected situations. Finally, applicability of the presented approach is tested through a dataset of e-waste reverse logistics network.

KW - Cloud based design optimization

KW - Mixed integer programming

KW - Network design

KW - Reverse logistics

KW - Uncertainty

UR - https://www.scopus.com/pages/publications/85040072437

U2 - 10.2991/ijcis.2017.10.1.77

DO - 10.2991/ijcis.2017.10.1.77

M3 - Article

AN - SCOPUS:85040072437

SN - 1875-6891

VL - 10

SP - 1168

EP - 1185

JO - International Journal of Computational Intelligence Systems

JF - International Journal of Computational Intelligence Systems

IS - 1

ER -

A novel approach for multi-period reverse logistics network design under high uncertainty

Özet

Bibliyografik not

Finansman

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap