Applying a direct multi-granularity linguistic and strategy-oriented aggregation approach on the assessment of supply performance |
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Authors: | Sheng-Lin Chang Reay-Chen Wang Shih-Yuan Wang |
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Institution: | 1. Department of Industrial Engineering and Management, China Institute of Technology, 245, Yen-Chiu-Yuan Rd., Sec. 3, Nan-Kang, Taipei 115, Taiwan, ROC;2. Department of Industrial Management, Tung Nan Institute of Technology, 152, Pei-Shen Rd., Sec. 3, Shen-Keng, Taipei 222, Taiwan, ROC;3. Department of Industrial Engineering and Management, Hsiuping Institute of Technology, 11, Gongye Rd., Dali City, Taichung 412, Taiwan, ROC |
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Abstract: | Supply performance has the active continuity behaviors, which covers the past, present and future of time horizons. Thus, supply performance possesses distinct uncertainty on individual behavior, which is inadequate to assess with quantification. This study utilizes the linguistic variable instead of numerical variable to offset the inaccuracy on quantification, and employs the fitting linguistic scale in accordance with the characteristic of supply behavior to enhance the applicability. Furthermore, the uniformity is introduced to transform the linguistic information uniformly from different scales. Finally, the linguistic ordered weighted averaging operator with maximal entropy applies in direct to aggregate the combination of linguistic information and product strategy to ensure the assessment results meeting the enterprise requirements, and then to emulate mental decision making in humans by the linguistic manner. |
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Keywords: | Supply chain management Linguistic variable Fuzzy linguistic quantifier Linguistic ordered weighted averaging operator Product life cycle |
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