An integrated fuzzy QFD and fuzzy goal programming approach for global facility location-allocation problem

Aboozar Jamalnia (), Hannan Amoozad Mahdiraji (), Mohammad Reza Sadeghi, Seyed Hossein Razavi Hajiagha () and Ardalan Feili
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Aboozar Jamalnia: Decision and Cognitive Sciences Research Center, Manchester Business School, The University of Manchester, Manchester, United Kingdom
Hannan Amoozad Mahdiraji: Department of Management, Islamic Azad University, Kashan Branch, Kashan, Iran
Mohammad Reza Sadeghi: Industrial Management Group, Faculty of Management and Accounting, Allameh Tabatabaei University, Tehran, Iran
Seyed Hossein Razavi Hajiagha: Department of Management, Islamic Azad University, Kashan Branch, Kashan, Iran
Ardalan Feili: Zand Institute of Higher Education, Shiraz, Iran

International Journal of Information Technology & Decision Making (IJITDM), 2014, vol. 13, issue 02, 263-290

Abstract: Companies pursuing extension of their activities and new companies in establishment phase are using various concepts and techniques to consider location decision, because location greatly affects both fixed and variable costs and on the overall profit of the company. This paper suggests a new use of quality function deployment (QFD) for facility location selection problem instead of applying it to traditional product quality promotion. Fuzzy sets concept is also incorporated to deal with imprecise nature of the linguistic judgments of decision makers. First, fuzzy QFD as a stand-alone approach is presented to address international facility location selection decision. To consider resource limitations and operational constraints, fuzzy goal programming is combined with fuzzy quality function deployment to present a developed approach to deal with global facility location-allocation decision. A demonstration of the applicability of proposed methodologies in a real-world problem is presented.

Keywords: Global facility location-allocation problem; fuzzy quality function deployment; fuzzy goal programming; linguistic variables; fuzzy numbers; 90B99; 90C70 (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0219622014500400

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