Abstract:
The main aim of this study is proposing an assessment model for evaluating the supply chain sustainability across the automotive sector. In this study, through reviewing the sustainability indicators in the economic, social, environmental, and governance pillars, the fuzzy Delphi is applied. Then, survey method is used to implement the model designed in CANFIS to evaluate the sustainability indicators. In this research, the proposed model was used for evaluating the sustainability in four pillars which is more inclusive than previous research. To improve the sustainability, it must be evaluated and measured so that after the improvement measures, the results are determined through measurement. According to the findings, it was concluded that the model designed in CANFIS was a reliable tool for assessing the sustainability.
Machine summary:
CO-Active Neuro- Fuzzy Inference System Application in Supply Chain Sustainability Assessment Based on Economic, Social, Environmental, and Governance Pillars Mahsa Alahyari 1 Nazanin Pilevari 2 The main aim of this study is proposing an assessment model for evaluating the supply chain sustainability across the automotive sector.
Abstract Keywords Supply Chain Management; Sustainability Assessment; CANFIS Fuzzy Inference System; Fuzzy Delphi; Automotive Industry Introduction In the present era of globalization and the resulting development of virgin areas, the procurement of demands is the most vital and busiest activity; one Received: 12/08/2020 Accepted: 14/11/2020 1.
Finally, in the last step, the survey method was used to implement the model designed in CANFIS with the aid from a questionnaire to evaluate the sustainability factors (dimensions and indicators according to Figure (1) and Table (2)) in the case study, as well as in validation.
Figure 1 Proposed Conceptual Model of Research EC0 1 ECO ECO 9 SOC 1 SOC SOC 12 SSCM ENV 1 ENV ENV 13 GOV1 GOV GOV 12 Table 1 Supply Chain Sustainability Pillars, Indicators, and Related Code Indicators institutions Indicators technology Indicators principles and policies Indicators Code Indicators Reference Having management systems Determine responsibility and power to achieve goals Research and Development Senior Management Commitment Having long-term relationships with suppliers Fritz et al (2017) Fritz et al (2017) Fritz et al (2017) Mathivathanan et al (2018) Mathivathanan et al (2018) Neuro-fuzzy hybrid systems integrate the fuzzy systems’ advantages that consider the explicit, explainable and understandable knowledge on the one hand, and neural networks which deal with implicit knowledge acquired through learning on the other hand.
Presenting a Conceptual Model of Sustainable Supply Chain with Indicators in Dimensions of Economic, Social, Environmental, and Governance in Iranian Automotive Industry.
A framework for sustainable performance assessment of supply chain management practices, Computers & Industrial Engineering, 76, 138–147.