Fuzzy logic in a reshoring decision-making context

• This paper investigates the feasibility of using fuzzy logic for reshoring decision-making. To achieve this a fuzzy logic system for reshoring decision-making was implemented. The system was configured in two different ways to cover the two main fuzzy logic modeling approaches and sixteen fuzzy inference settings were used in each configuration. The research shows that fuzzy logic is a feasible method for reshoring decision-making. The reduced rule base configuration was more accurate than the complete rule base configuration. However, the reduced rule base also generated more conflicts in particular settings. Among all the fuzzy inference settings used in this research, one of the settings outperformed the others. With regard to the particular inference methods, the research show that maximum is the preferred aggregation method while middle of maximum is the preferred defuzzification method.

Subject headings

SAMHÄLLSVETENSKAP  -- Ekonomi och näringsliv (hsv//swe)

SOCIAL SCIENCES  -- Economics and Business (hsv//eng)

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

reshoring

fuzzy logic

decision-making

decision-support

manufacturing location decision.

Computer Sciences

Datavetenskap (datalogi)

Publication and Content Type

ref (subject category)

kon (subject category)