Collaboration in Supply Chain 4.0 based on Trust with Fuzzy Hierarchical Analysis (Case Study: FMCG Industries)
Subject Areas : Fuzzy Optimization and Modeling Journal
Aminmasoud Bakhshi Movahed
1
,
Alireza Aliahmadi
2
,
Mohammadreza Parsanejad
3
1 - Faculty of Management, Economics and Progress Engineering, Iran University of Science and Technology, Iran
2 - Tehran
3 - Assistant Professor, Faculty of Management, Economics and Progress Engineering, Iran University of Science and Technology, Iran
Keywords: Industry 4.0, Meta-synthesis, Fuzzy Hierarchical Analysis, Fast-moving Consumer Goods Industry,
Abstract :
This study aims to analyze collaboration in supply chain 4.0. To attain these objective initiators, barriers, and outcome of the collaboration concept are categorized by a meta-synthesis method. In this classification, Industry 4.0 technologies were among the most important initiators, and sustainable performance and trust were considered the most important results. In the next part of the research, the impact of trust as one of the most important collaboration results in the FMCG industry was quantitatively analyzed. A fuzzy hierarchical analysis method has been used to prioritize trust indicators in the pharmaceutical industry. Questionnaires were distributed among 25 experts familiar with information technology concepts and active in pharmaceutical companies such as Barij Essence Kashan. Trust factor’s normal weight in the supply chain collaboration system shows that Social Support and Gap in education skills and human resources were respectively the most and the least influenced by trust. Collaboration factors based on trust were classified into initiators and barriers with decision tree. In the initiator's section, Social Support with a weight of 0.23241, and in the barriers section uncertainty and risk with a weight of 0.21521 ranked first. Trust factor's normal weight in the supply chain collaboration system shows that Social Support and Gap in education skills and human resources were respectively the most and the least influenced by trust.
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