An integrated fuzzy approach for the selection of manufacturing technologies

Abstract

In this paper, an integrated decision support system is developed, which employs fuzzy techniques to assist decision-makers in choosing an optimal solution from alternative manufacturing options in an uncertain environment. The integrated approach incorporates different justification methods (e.g., strategic, economic, and analytic evaluations) for assessing tangible benefits, like cost, and intangible benefits, like quality, of different alternatives by a fuzzy multi-criteria decision-making method. As an illustrative example, selection of different advanced manufacturing technologies has been demonstrated by using the proposed methodology. The proposed concept will greatly reduce conflicts between tangible and intangible factors, and enhance the process of identification, interpretation, and diagnosis of the value of complex manufacturing and engineering systems

Fuzzy logic based method to measure degree of lean activity in manufacturing industry

“…1. The fuzzy methods have been implemented in many research and application areas such as economics, industries, manufacturing operations, production management, engineering, health sciences, natural sciences, mathematics, services, information and communication technologies [37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52]. Azadegana et al [37] reviewed implementation of the fuzzy logic in manufacturing perspectives.…”

“…Subsequently, Chan et al [47] stated the fuzzy approach can assist organizations to select the manufacturing technologies in an uncertain environment. They developed a fuzzy based decision method, which the fuzzy linguistic triangular numbers, and the fuzzy weightings to compute and rank the alternatives among selected manufacturing technologies.…”

A group decision making procedure for fuzzy interactive linear assignment programming

“…This method tries to take into account designer's preferences and wishes, in order to customize the manufacturing system for the user's particular situation. Chan, Chan, Chan, and Humphreys (2006) proposed a fuzzy multicriteria decision making procedure for the selection of manufacturing technologies. Their method considers different justification methods such as strategic, economic, and analytic evaluations.…”

A method of efficiency analysis based on fuzzy sample DEA model

“…Karsak and Tolga [9] proposed a fuzzy multi-criteria decision making approach for evaluating advanced manufacturing system investments based on a fuzzy number ranking method. [10] have proposed a fuzzy decision approach that integrates tangible and intangible factors for advanced manufacturing technology selection by calculating the fuzzy appropriate index and ranks these index values using fuzzy number ranking methods [11].…”