TY - JOUR
T1 - An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection
T2 - A case study in importing field
AU - Abdel-Baset, M.
AU - Chang, Victor
AU - Gamal, Abduallah
AU - Smarandache, Florentin
N1 - Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2019/4
Y1 - 2019/4
N2 - Sustainable supplier selections have been improved by an increased number of multi criteria group decision making (MCGDM) methods and techniques. This paper provides a multi criteria group decision making (MCGDM) proposed technique of the ANP (analytical network process) method and the VIKOR (ViseKriterijumska Optimizacija I Kompromisno Resenje) method under neutrosophic environment for dealing with incomplete information and high order imprecision. This is done by using of the triangular neutrosophic numbers (TriNs) to present the linguistic variables based on opinions of experts and decision makers. The aim is to solve the problem of supplier selection in sustainable supplier chain management (SSCM). The suggested technique consists of two phases. First, we use the ANP method to calculate the weights of criteria and sub criteria. Second, with the aid of VIKOR method and with obtained weights of the criteria and sub criteria from step one, we can find the solution. A case study is used to present the decision process in detail. Our proposed method is compared directly with the entropy method to justify our approach. We also use genetic algorithm to compute predicted values for five selected cities while varying economic, environmental and social criteria. Explanations of forecasted outputs and limitation for research have been presented. Our objective is to demonstrate that our proposal can calculate key measurement for major import and export cities, as well as to provide fair and reliable forecasted outcomes.
AB - Sustainable supplier selections have been improved by an increased number of multi criteria group decision making (MCGDM) methods and techniques. This paper provides a multi criteria group decision making (MCGDM) proposed technique of the ANP (analytical network process) method and the VIKOR (ViseKriterijumska Optimizacija I Kompromisno Resenje) method under neutrosophic environment for dealing with incomplete information and high order imprecision. This is done by using of the triangular neutrosophic numbers (TriNs) to present the linguistic variables based on opinions of experts and decision makers. The aim is to solve the problem of supplier selection in sustainable supplier chain management (SSCM). The suggested technique consists of two phases. First, we use the ANP method to calculate the weights of criteria and sub criteria. Second, with the aid of VIKOR method and with obtained weights of the criteria and sub criteria from step one, we can find the solution. A case study is used to present the decision process in detail. Our proposed method is compared directly with the entropy method to justify our approach. We also use genetic algorithm to compute predicted values for five selected cities while varying economic, environmental and social criteria. Explanations of forecasted outputs and limitation for research have been presented. Our objective is to demonstrate that our proposal can calculate key measurement for major import and export cities, as well as to provide fair and reliable forecasted outcomes.
KW - ANP method
KW - Active Asian Economic Cities (AAECs)
KW - Linguistic variable
KW - Sustainable supplier selection
KW - Triangular neutrosophic number
KW - VIKOR method
UR - http://www.scopus.com/inward/record.url?scp=85060314519&partnerID=8YFLogxK
U2 - 10.1016/j.compind.2018.12.017
DO - 10.1016/j.compind.2018.12.017
M3 - Article
AN - SCOPUS:85060314519
SN - 0166-3615
VL - 106
SP - 94
EP - 110
JO - Computers in Industry
JF - Computers in Industry
ER -