In the effort for manufacturing companies to meet up with the emerging consumer\ndemands for mass customized products, many are turning to the application of lean in their\nproduct development process, and this is gradually moving from being a competitive advantage\nto a necessity. However, due to lack of clear understanding of the lean performance\nmeasurements, many of these companies are unable to implement and fully integrated the lean\nprinciple into their product development process. Extensive literature shows that only few\nstudies have focus systematically on the lean product development performance (LPDP)\nevaluation. In order to fill this gap, the study therefore proposed a novel hybrid model based on\nFuzzy Reasoning Approach (FRA), and the extension of Fuzzy-AHP and Fuzzy-TOPSIS\nmethods for the assessment of the LPDP. Unlike the existing methods, the model considers the\nimportance weight of each of the decision makers (Experts) since the performance\ncriteria/attributes are required to be rated, and these experts have different level of expertise.\nThe rating is done using a new fuzzy Likert rating scale (membership-scale) which is designed\nsuch that it can address problems resulting from information lost/distortion due to closed-form\nscaling and the ordinal nature of the existing Likert scale.
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