Sustainable supplier selection and order allocation under operational and disruption risks

Farhad Vahidi, S. Ali Torabi, M. J. Ramezankhani

Research output: Contribution to journalArticle

Abstract

This study proposes a novel bi-objective two-stage mixed possibilistic-stochastic programming model to address sustainable supplier selection and order allocation problem under operational and disruption risks. A hybrid SWOT-QFD systematic framework is suggested for choosing the most influential sustainability criteria in accordance with the manufacturer's strategies. Furthermore, different proactive strategies such as contracting with backup suppliers, and considering excess capacity for supply nodes are used to enhance the resilience level of the selected supply base. A mixed sustainability-resilience objective function is also introduced to select a resiliently sustainable supply base. A number of numerical examples are tested to validate the formulated model and its solution method. A case study is also provided to demonstrate the applicability of the proposed framework in practice. Finally, a sensitivity analysis is carried out to show the merits of the proposed aggregate sustainability-resilience objective function.

Original languageEnglish (US)
Pages (from-to)1351-1365
Number of pages15
JournalJournal of Cleaner Production
Volume174
DOIs
StatePublished - Jan 20 2018

Fingerprint

Sustainable development
sustainability
Stochastic programming
Sensitivity analysis
sensitivity analysis
allocation
Disruption
Resilience
Sustainability
Supplier selection
Objective function
method
Node
Excess capacity
Contracting
Quality function deployment
Allocation problem
Suppliers

Keywords

  • Bi-objective programming
  • Possibilistic-stochastic programming
  • QFD
  • Resilience
  • Sustainable supplier selection
  • SWOT
  • Two-stage mixed

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Environmental Science(all)
  • Strategy and Management
  • Industrial and Manufacturing Engineering

Cite this

Sustainable supplier selection and order allocation under operational and disruption risks. / Vahidi, Farhad; Torabi, S. Ali; Ramezankhani, M. J.

In: Journal of Cleaner Production, Vol. 174, 20.01.2018, p. 1351-1365.

Research output: Contribution to journalArticle

@article{699c2826917d498486ef759b78adcfad,
title = "Sustainable supplier selection and order allocation under operational and disruption risks",
abstract = "This study proposes a novel bi-objective two-stage mixed possibilistic-stochastic programming model to address sustainable supplier selection and order allocation problem under operational and disruption risks. A hybrid SWOT-QFD systematic framework is suggested for choosing the most influential sustainability criteria in accordance with the manufacturer's strategies. Furthermore, different proactive strategies such as contracting with backup suppliers, and considering excess capacity for supply nodes are used to enhance the resilience level of the selected supply base. A mixed sustainability-resilience objective function is also introduced to select a resiliently sustainable supply base. A number of numerical examples are tested to validate the formulated model and its solution method. A case study is also provided to demonstrate the applicability of the proposed framework in practice. Finally, a sensitivity analysis is carried out to show the merits of the proposed aggregate sustainability-resilience objective function.",
keywords = "Bi-objective programming, Possibilistic-stochastic programming, QFD, Resilience, Sustainable supplier selection, SWOT, Two-stage mixed",
author = "Farhad Vahidi and Torabi, {S. Ali} and Ramezankhani, {M. J.}",
year = "2018",
month = "1",
day = "20",
doi = "10.1016/j.jclepro.2017.11.012",
language = "English (US)",
volume = "174",
pages = "1351--1365",
journal = "Journal of Cleaner Production",
issn = "0959-6526",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Sustainable supplier selection and order allocation under operational and disruption risks

AU - Vahidi, Farhad

AU - Torabi, S. Ali

AU - Ramezankhani, M. J.

PY - 2018/1/20

Y1 - 2018/1/20

N2 - This study proposes a novel bi-objective two-stage mixed possibilistic-stochastic programming model to address sustainable supplier selection and order allocation problem under operational and disruption risks. A hybrid SWOT-QFD systematic framework is suggested for choosing the most influential sustainability criteria in accordance with the manufacturer's strategies. Furthermore, different proactive strategies such as contracting with backup suppliers, and considering excess capacity for supply nodes are used to enhance the resilience level of the selected supply base. A mixed sustainability-resilience objective function is also introduced to select a resiliently sustainable supply base. A number of numerical examples are tested to validate the formulated model and its solution method. A case study is also provided to demonstrate the applicability of the proposed framework in practice. Finally, a sensitivity analysis is carried out to show the merits of the proposed aggregate sustainability-resilience objective function.

AB - This study proposes a novel bi-objective two-stage mixed possibilistic-stochastic programming model to address sustainable supplier selection and order allocation problem under operational and disruption risks. A hybrid SWOT-QFD systematic framework is suggested for choosing the most influential sustainability criteria in accordance with the manufacturer's strategies. Furthermore, different proactive strategies such as contracting with backup suppliers, and considering excess capacity for supply nodes are used to enhance the resilience level of the selected supply base. A mixed sustainability-resilience objective function is also introduced to select a resiliently sustainable supply base. A number of numerical examples are tested to validate the formulated model and its solution method. A case study is also provided to demonstrate the applicability of the proposed framework in practice. Finally, a sensitivity analysis is carried out to show the merits of the proposed aggregate sustainability-resilience objective function.

KW - Bi-objective programming

KW - Possibilistic-stochastic programming

KW - QFD

KW - Resilience

KW - Sustainable supplier selection

KW - SWOT

KW - Two-stage mixed

UR - http://www.scopus.com/inward/record.url?scp=85038814557&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85038814557&partnerID=8YFLogxK

U2 - 10.1016/j.jclepro.2017.11.012

DO - 10.1016/j.jclepro.2017.11.012

M3 - Article

VL - 174

SP - 1351

EP - 1365

JO - Journal of Cleaner Production

JF - Journal of Cleaner Production

SN - 0959-6526

ER -