Vendor-managed inventory (VMI) is one of effective and crucial tools to alleviate the demand volatility of stocks problems, reduce time and operating cost in healthcare sector. VMI strategy becomes a necessity for both suppliers and hospitals to sustainably develop and to cope with stock availability and overall reliability process by sharing information. The process and management of VMI is a complicated work which needs substantial degrees of collaboration, expertise, and information sharing. This paper purposes a comprehensive multi-criteria decision making (MCDM) to select the best potential supplier for VMI collaboration in healthcare organization. The study developed MCDM framework consists of (i) Fuzzy Delphi approach to select the appropriate evaluation criteria for VMI supplier selection (ii) Fuzzy Step-wise Weight Assessment Ration Analysis (SWARA) method to determine the relative importance weight of evaluation criteria, (ii) Fuzzy Complex Proportional Assessment of Alternatives (COPRAS) to compare, rank and select the best appropriated supplier. An empirical case study was applied for a local famous public hospital and the best potential supplier was selected. The study reveals that the most evaluation criteria when selecting supplier for VMI in healthcare sector are institutional trust, information sharing and exchanging as well as information technology. .

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Technological innovation capabilities (TICs) are currently one of the essential factors to enhance the competitiveness of enterprises. The measurement of TICs is a complicated decision making process and quite difficult to perform because its assessment involves multi-attribute criteria and the subjective judgements of experts. To solve these problems, this study provides a TICs evaluating model by employing a hybrid multi-criteria decision making (MCDM) technique. This method is an integration of four approaches, consisting of: 1) fuzzy Delphi; 2) fuzzy DEMATEL; 3) analytical network process; 4) technique for order preference by similarity to an ideal solution (TOPSIS). The final results showed the measurement criteria, the interrelationship and the relative important weights among criteria and the ranking of TICs of firms. An empirical study is also illustrated in Thai automotive parts firms as a case study. Furthermore, this study could assist industrial managers to efficiently evaluate TICs and its direction of improvement.

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