A decision support system for locating convenience store through fuzzy AHP
Computers and Industrial Engineering
A fuzzy approach to select the location of the distribution center
Fuzzy Sets and Systems
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Facility location selection using fuzzy topsis under group decisions
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Fuzzy group decision-making for facility location selection
Information Sciences—Informatics and Computer Science: An International Journal
Designing And Managing The Supply Chain
Designing And Managing The Supply Chain
Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry
Expert Systems with Applications: An International Journal
The multi-depot capacitated location-routing problem with fuzzy travel times
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
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This study utilizes the dynamic product-process change matrix as a lens/map for helping managers to link the selection criteria with the requirements of operations strategies for facility location selection (FLS). FLS problem is a decision-making problem at the strategic management level and a semi-structured process in supply chain management. The majority of the existing approaches obtained their optimal solutions without considering their fits with the strategy of the firm and ignoring the essences of the managers' job. This study then presents an empirical fuzzy approach containing a risk judgmental procedure to the specific decision environment and his/her own inherent management authorities under group decision-making processes. An empirical case study derived from the management consultation client of authors is performed to demonstrate the efficacy of the proposed system and to identify the best facility location(s). The results and processes of the case study also provide interesting managerial implications.