Fuzzy Optimization Model for Decision-Making in Supply Chain Management

Abstract

Choosing a supplier is a complex decision-making process that can reduce the total cost of production inputs and increase profits without increasing the price or sacrificing product quality. However, supplier selection processes usually involve multiple quantitative and qualitative criteria which increase the complexity of the problem and may decrease the accuracy and effectiveness of the process. Such complex decision-making problems can be supported by using multicriteria decision-making (MCDM) models. While there have been multiple MCDM models to support supplier selection processes in different industries and sectors, only a few are developed to support the supplier selection processes in the garment industry, especially under uncertain decision-making environment. This paper presents an integrated mathematical model under a fuzzy environment and applies it to the supplier selection process in the garment industry. In this research, the authors utilize the Buckley extension based fuzzy Analytical Hierarchical Process (FAHP) method in combination with linear normalization based fuzzy Grey Relational Analysis (F-GRA) method to develop a MCDM approach to the supplier selection process under a fuzzy environment. As a result, supplier 08 (SA08) is the optimal supplier. The contribution of this work is to propose an MCDM model for ranking potential suppliers in the garment industry under a fuzzy environment. The proposed approach can also be applied to support complex decision-making processes under a fuzzy environment in different industries.

Fuzzy Ensemble of Multi-Criteria Decision Making Methods for Heating Energy Transition in Danish Households

“…Based on previous analysis and comparison between VIKOR and TOPSIS methods [27,36], this paper introduced a framework that combines both methods with multiple weighting and normalization methods to generate comprehensive rankings for heat alternatives decision support, followed by ensemble learning with fuzzy membership function to generate a final ranking. Although the fuzzy theory is widely used with MCDM [37], it is mainly used during the weighting and evaluating methods inside MCDM to handle the fuzzy environment and subjective information. In this paper, the fuzzy membership function was applied after the MCDM ranking.…”

Fuzzy Ensemble Ideal Solution Based Multi-Criteria Decision-Making Support for Heat Energy Transition in Danish Households

“…Based on previous analysis and comparison between VIKOR and TOPSIS methods [33,34], this paper introduced a framework that combines both methods with multiple weighting and normalization to generate comprehensive rankings for heat alternatives decision support, following by an assemble learning with fuzzy membership function to generate a final ranking. Although the fuzzy theory has been widely used with MCDM [35], it is mainly used during the weighting and evaluating methods inside MCDM to handle the fuzzy environment and subjective information. In this paper, the fuzzy membership function has been applied after MCDM ranking.…”

Optimal siting of a nuclear power station in Nigeria using fuzzy grey relational analysis

“…10,11 Conceptual design appraisal, 12 and supplier selection. 13 Because it has not previously been documented in the literature, the MCDM method needs to be studied further. In this paper, a fuzzy GRA technique is proposed to select the best state in Nigeria's south-south region to house the NPP.…”

“…It has already been shown in the literature to be a valuable tool for solving a variety of complex multicriteria decision problems, such as machining parameter optimization, 10,11 conceptual design evaluation, 12 and supplier selection. 13 A Number of multicriteria decision tasks have been studied using the fuzzy GRA technique, including machining parameter optimization, conceptual design evaluation, and supplier selection. [10][11][12][13] The MCDM approach should be investigated further because it has not been previously documented in the literature.…”

“…13 A Number of multicriteria decision tasks have been studied using the fuzzy GRA technique, including machining parameter optimization, conceptual design evaluation, and supplier selection. [10][11][12][13] The MCDM approach should be investigated further because it has not been previously documented in the literature. To find the ideal location for the NPP in Nigeria's south-south zone, a fuzzy GRA technique is proposed in this research.…”