TY - JOUR
T1 - Product-service supplier pre-evaluation with modified fuzzy ANP reducing decision information distortion
AU - Xu, Zhitao
AU - Elomri, Adel
AU - Pokharel, Shaligram
AU - Ming, X. G.
N1 - Publisher Copyright:
© 2015 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2017/7/3
Y1 - 2017/7/3
N2 - The main challenge of new product-service supplier (PSS) selection is the lack of historical performance information of the suppliers. As one of the most popular techniques in supplier evaluation, the analytic network process (ANP) has an advantage in organising and analysing PSS pre-evaluation problems. However, the decision information distortion caused by matrix revision is a major factor affecting the wide application of the ANP when the consistency of the comparison matrix is unqualified. In this paper, a modified fuzzy ANP (F-ANP) with six criteria and 20 sub-criteria is suggested for PSS pre-evaluation. With the purpose of reducing decision information distortion in the pre-evaluation, the geometric scale is employed to improve the consistency of the judgment matrices and a linear approach is proposed for the unqualified judgment matrix revision. It is the first time that the decision information in the comparison matrix can be evaluated and retained as much as possible in generating and selecting the substitute using the proposed linear approach. The improved F-ANP model is verified in a real-life case study. Compared with the approaches in the literature, the linear approach shows advantages in retaining original decision information and the improved F-ANP outperforms the ANP and analytic hierarchy process models in terms of obtaining a stable rank of suppliers and distinguishing the importance of the criteria.
AB - The main challenge of new product-service supplier (PSS) selection is the lack of historical performance information of the suppliers. As one of the most popular techniques in supplier evaluation, the analytic network process (ANP) has an advantage in organising and analysing PSS pre-evaluation problems. However, the decision information distortion caused by matrix revision is a major factor affecting the wide application of the ANP when the consistency of the comparison matrix is unqualified. In this paper, a modified fuzzy ANP (F-ANP) with six criteria and 20 sub-criteria is suggested for PSS pre-evaluation. With the purpose of reducing decision information distortion in the pre-evaluation, the geometric scale is employed to improve the consistency of the judgment matrices and a linear approach is proposed for the unqualified judgment matrix revision. It is the first time that the decision information in the comparison matrix can be evaluated and retained as much as possible in generating and selecting the substitute using the proposed linear approach. The improved F-ANP model is verified in a real-life case study. Compared with the approaches in the literature, the linear approach shows advantages in retaining original decision information and the improved F-ANP outperforms the ANP and analytic hierarchy process models in terms of obtaining a stable rank of suppliers and distinguishing the importance of the criteria.
KW - comparison matrix revision
KW - fuzzy analytical network
KW - product-service supplier selection
KW - service-orientated manufacturing
KW - supplier selection
UR - http://www.scopus.com/inward/record.url?scp=84944937691&partnerID=8YFLogxK
U2 - 10.1080/0951192X.2015.1067917
DO - 10.1080/0951192X.2015.1067917
M3 - Article
AN - SCOPUS:84944937691
SN - 0951-192X
VL - 30
SP - 738
EP - 754
JO - International Journal of Computer Integrated Manufacturing
JF - International Journal of Computer Integrated Manufacturing
IS - 7
ER -