The use of data envelopment analysis in evaluating pareto optimal solutions of the sustainable supply chain models

Alperen Bal; Sule Itir Satoglu

doi:10.1016/j.promfg.2019.04.060

The use of data envelopment analysis in evaluating pareto optimal solutions of the sustainable supply chain models

Alperen Bal^*
, Sule Itir Satoglu

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Yalova University

Araştırma sonucu: Dergiye katkı › Konferans makalesi › bilirkişi

14 Atıf (Scopus)

Özet

The background of sustainability is summed up by three words: Planet, People, and Profit. The 3Ps of sustainability require multi-objective research. This study analyzes the evaluation process of multi-objective optimization. Since it is highly critical for decision makers to understand the results of multi-objective models, the Data Envelopment Analysis (DEA) approach is used to put Pareto-optimal results of the model in an order and to analyze them. A case study of a reverse supply chain model with four objectives namely economic, social, environmental and legal is taken into consideration. Results of the DEA showed that the method can be effectively used in interpreting the results both for academics and practitioners.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	485-492
Sayfa sayısı	8
Dergi	Procedia Manufacturing
Hacim	33
DOI'lar	https://doi.org/10.1016/j.promfg.2019.04.060
Yayın durumu	Yayınlandı - 2019
Etkinlik	16th Global Conference on Sustainable Manufacturing, GCSM 2018 - Lexington, United States Süre: 2 Eki 2018 → 4 Eki 2018

Bibliyografik not

Publisher Copyright:
© 2019 The Authors. Published by Elsevier B.V.

Finansman

This research has been financially supported by Istanbul Technical University as a scientific research project with project numbered 39970.

Finansörler	Finansör numarası
Istanbul Teknik Üniversitesi	39970

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 9 Sanayi, Yenilikçilik ve Altyapı
SKH 12 Sorumlu Üretim ve Tüketim
SKH 17 Hedefler için Ortaklıklar

Belgeye Erişim

10.1016/j.promfg.2019.04.060

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@article{0b0076c6ef35483597337e67484fbdba,

title = "The use of data envelopment analysis in evaluating pareto optimal solutions of the sustainable supply chain models",

abstract = "The background of sustainability is summed up by three words: Planet, People, and Profit. The 3Ps of sustainability require multi-objective research. This study analyzes the evaluation process of multi-objective optimization. Since it is highly critical for decision makers to understand the results of multi-objective models, the Data Envelopment Analysis (DEA) approach is used to put Pareto-optimal results of the model in an order and to analyze them. A case study of a reverse supply chain model with four objectives namely economic, social, environmental and legal is taken into consideration. Results of the DEA showed that the method can be effectively used in interpreting the results both for academics and practitioners.",

keywords = "DEA, End-of-life equipment, Mulri-objective optimization, Sustainability",

author = "Alperen Bal and Satoglu, \{Sule Itir\}",

note = "Publisher Copyright: {\textcopyright} 2019 The Authors. Published by Elsevier B.V.; 16th Global Conference on Sustainable Manufacturing, GCSM 2018 ; Conference date: 02-10-2018 Through 04-10-2018",

year = "2019",

doi = "10.1016/j.promfg.2019.04.060",

language = "English",

volume = "33",

pages = "485--492",

journal = "Procedia Manufacturing",

issn = "2351-9789",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - The use of data envelopment analysis in evaluating pareto optimal solutions of the sustainable supply chain models

AU - Bal, Alperen

AU - Satoglu, Sule Itir

PY - 2019

Y1 - 2019

N2 - The background of sustainability is summed up by three words: Planet, People, and Profit. The 3Ps of sustainability require multi-objective research. This study analyzes the evaluation process of multi-objective optimization. Since it is highly critical for decision makers to understand the results of multi-objective models, the Data Envelopment Analysis (DEA) approach is used to put Pareto-optimal results of the model in an order and to analyze them. A case study of a reverse supply chain model with four objectives namely economic, social, environmental and legal is taken into consideration. Results of the DEA showed that the method can be effectively used in interpreting the results both for academics and practitioners.

AB - The background of sustainability is summed up by three words: Planet, People, and Profit. The 3Ps of sustainability require multi-objective research. This study analyzes the evaluation process of multi-objective optimization. Since it is highly critical for decision makers to understand the results of multi-objective models, the Data Envelopment Analysis (DEA) approach is used to put Pareto-optimal results of the model in an order and to analyze them. A case study of a reverse supply chain model with four objectives namely economic, social, environmental and legal is taken into consideration. Results of the DEA showed that the method can be effectively used in interpreting the results both for academics and practitioners.

KW - DEA

KW - End-of-life equipment

KW - Mulri-objective optimization

KW - Sustainability

UR - https://www.scopus.com/pages/publications/85068543982

U2 - 10.1016/j.promfg.2019.04.060

DO - 10.1016/j.promfg.2019.04.060

M3 - Conference article

AN - SCOPUS:85068543982

SN - 2351-9789

VL - 33

SP - 485

EP - 492

JO - Procedia Manufacturing

JF - Procedia Manufacturing

T2 - 16th Global Conference on Sustainable Manufacturing, GCSM 2018

Y2 - 2 October 2018 through 4 October 2018

ER -

The use of data envelopment analysis in evaluating pareto optimal solutions of the sustainable supply chain models

Özet

Bibliyografik not

Finansman

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap