Information Sharing Assessment in Supply Chain: Hierarchical Fuzzy Rule-Based System

Farnoush Farajpour (), Mohammad Taghi Taghavifard (), Amir Yousefli () and Mohammad Reza Taghva ()
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Farnoush Farajpour: Information Technology Management Department, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran
Mohammad Taghi Taghavifard: Information Technology Management Department, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran
Amir Yousefli: Industrial Management Department, Faculty of Social Sciences, Imam Khomeini International University, Qazvin, Iran
Mohammad Reza Taghva: Information Technology Management Department, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran

Journal of Information & Knowledge Management (JIKM), 2018, vol. 17, issue 01, 1-24

Abstract: As one of three prominent flows (material, money, information) in a supply chain, the information flow plays a key role in supply chain performance and also in reaching high degrees of integrity and cooperation between supply chain members. Regarding the vagueness and multi-dimensional nature of information sharing, evaluating the information sharing level in supply chain is a complex problem. This paper aims to develop a new rule-based inference system to evaluate the level of information sharing in a supply chain. To this end, first, the influencing parameters are obtained from the literature and are screened and refined by the experts, using Lexicography method. Then, they are categorised into a multi-level hierarchical structure. Finally, a hierarchical inference system, which consists of a set of fuzzy rule bases, is constructed to infer the information sharing degree. The use of fuzzy rule bases is due to the lack of explicit functions between the influencing factors as well as ambiguity of these parameters. Also, in this research, the input parameters’ measurement process is defined and some relevant indices are designed. The developed assessment system is a four-leveled hierarchical inference system, built of six fuzzy rule bases. The inference system has eight input parameters, the values of which are calculated utilising six designed indices and two quick questionnaires. Eventually, the developed inference system and the measuring method are implemented in a real case.

Keywords: Information sharing assessment; supply chain; fuzzy inference system; hierarchical structure (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

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DOI: 10.1142/S0219649218500028

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