Summary: | 博士 === 中華大學 === 科技管理博士學位學程 === 103 === Recent years, a lot of problems with respect to atmosphere pollution hasten countries to accentuate green-related policy; therefore, firms in the lithium-iron phosphate (LiFePO4) battery industry need to consider more about the environmental protection factors while they design new products. New product development (NPD) has been an important issue since a competitive advantage can be gained by firms with right strategies of NPD. Particularly, integrating green principles into the NPD process cannot be ignored if firms want to survive in the global market. Current decision making models may help managers out with the problems. However, existing models lack a holistic solution. In most models, it is still very challenging for managers to precisely recognize the critical success factors (CSFs) of NPD. As a result, a wrong and misjudged decision may cause unpredictable impact on the firms.
The purpose of this study is to create a hybrid multiple criteria decision making (MCDM) model for the LiFePO4 battery firms in Taiwan to select the most appropriate alternative for NPD. Thus, this study proposes an integrated MCDM model based on fuzzy Delphi method (FDM), interpretive structural modeing (ISM), and fuzzy analytic network process (FANP) for evaluating the need of improving NPD process. First of all, a fuzzy Delphi method is used to screen factors for the criteria. Then, an interpretive structural modeling is managed to determine the feedback and interdependency of those factors in a network. Finally, a fuzzy theory is applied to resolve the linguistic hedges, an analytic network process is adopted to obtain and rank the weights of all the factors, and the best alternative is chosen. A case study is undertaken in a Taiwanese company that provides professional packing and design for lithium-iron phosphate battery to validate the proposed model in determining the most suitable NPD project. This integrated model is not only expected to be useful in the real-world application, but it is also anticipated to be generally applied in other similar situations.
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