TQM consultant selection in SMEs with TOPSIS under fuzzy environment |
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| Authors: | Mahmoud Saremi S. Farid Mousavi Amir Sanayei |
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| Affiliation: | 1. Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran;2. Department of Industrial Engineering, Islamic Azad University–Bonab Branch, Bonab, Iran;1. Department of Family and Preventive Medicine, University of California San Diego, La Jolla, California;2. British Heart Foundation Health Promotion Research Group, Department of Public Health, University of Oxford, United Kingdom;3. Centre for Physical Activity and Nutrition, Auckland University of Technology, New Zealand;4. McCaughey VicHealth Centre for the Promotion of Mental Health and Community Wellbeing, University of Melbourne, Victoria, Australia |
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| Abstract: | Although much has been written about TQM in SMEs, little attention has been paid to the role of external consultant in the successful implementation of a TQM program in this kind of firms. Sometimes there are some candidates and companies have to select the best one. In general, many factors affect this problem which adheres to uncertain and imprecise data, and usually several people from different functional areas of the company are involved in this process. This study aims to improve the quality of decision in this area. In this paper a systematic decision process for selecting external consultant is proposed. The proposed method is based on TOPSIS method in fuzzy environment. Decision criteria are obtained from the nominal group technique (NGT). Additionally, a real case study is presented to illustrate the application of the proposed method. |
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