Dealing with subjectivity in early product design phase: A systematic approach to exploit Quality Function Deployment potentials

Raharjo, Hendry; Brombacher, Aarnout; Xie, Min

doi:10.1016/j.cie.2007.12.012

Cited by 93 publications

(48 citation statements)

References 75 publications

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“…Therefore, we first briefly review AHP method (Saaty 1980) introduced to solve various qualitative and quantitative MCDM problems involving subjective judgments such as determining the importance of factors in product design and selecting the best product concept (Raharjo et al 2008). Technically, AHP determines the relative priority (w i ) of the ith criterion by exploiting a multi-level hierarchical structure of decision-making problems.…”

Section: Fuzzy Ahpmentioning

confidence: 99%

Agile Supply Chain Decision Support System

Lee

Cho

Kim

2014

Reshaping Society Through Analytics, Collaboration, and Decision Support

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Recently, many organizations intend to make their supply chains more responsive to the change in demand in terms of volume and variety and hence consider agility one of the most critical evaluation criteria in addition to other wellknown criteria such as general management capability, manufacturing capability, and collaboration capability. This paper formulates the supplier evaluation and selection problem as a multi-criteria decision-making (MCDM) problem with subjective and fuzzy preferences of decision makers over available evaluation criteria and provides the decision maker with a decision support system that presents the Pareto fronts, a set of best possible high-quality suppliers and optimized business operation levels from such suppliers. In addition, this paper quantifies the importance of agility and its sub-criteria in the process of evaluating and selecting agile suppliers by measuring the magnitude of bullwhip effect as a measurement of the business impact of resulting agile supply chain. The proposed system based on fuzzy analytic hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) successfully determines the priority weights of multiple criteria and selects the best fitting supplier after taking the vagueness and imprecision of human assessments. More importantly, it presents approximated Pareto fronts of resulting supplier chains as the priority weights of agility criterion and sub-criteria within agility are varied.

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Section: Fuzzy Ahpmentioning

confidence: 99%

Agile Supply Chain Decision Support System

Lee

Cho

Kim

2014

Reshaping Society Through Analytics, Collaboration, and Decision Support

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“…There are basically two types of ANP-QFD approaches: simple matrix manipulation and supermatrix approach (Raharjo et al 2008;Lee et al 2010a). The first type, which is based on the network model described in Saaty and Takizawa (1986), has some limitations (Raharjo et al 2008). The second type, a general supermatrix approach, can tackle more complicated problems (Saaty 1996).…”

Section: Quality Function Deployment (Qfd)mentioning

confidence: 99%

“…Because of the interrelationships among CAs and among ECs, ANP is used in some works (Partovi 2001(Partovi , 2006(Partovi , 2007Karsak et al 2002;Partovi and Corredoira 2002;Yoon et al 2006;Pal et al 2007;Raharjo et al 2008;Parra-López et al 2008). There are basically two types of ANP-QFD approaches: simple matrix manipulation and supermatrix approach (Raharjo et al 2008;Lee et al 2010a).…”

Section: Quality Function Deployment (Qfd)mentioning

confidence: 99%

An integrated fuzzy QFD framework for new product development

Lee

Lin

2011

Flex Serv Manuf J

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An important source of competitive advantage, survival and renewal for firms is the successful new product development (NPD). Quality function deployment (QFD) aims to facilitate the NPD process from product conceptualization to production requirements; however, conventional QFD has its shortcomings. Even though modified QFD models have been proposed in literature, a comprehensive model is necessary. In this paper, factors in each phase of the QFD is prepared first through literature review and interview with domain experts. Fuzzy Delphi method is adopted to select the critical factors, and fuzzy interpretive structural modeling is applied to determine the relationships among the critical factors. The results are then used to construct houses of quality for QFD, which is incorporated by fuzzy analytic network process. A case study of a thin film transistor liquid crystal display firm is carried out to verify the practicality of the proposed framework.

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“…Recent years, therefore, have seen a huge increase in the use of the ANP. In NPD, the ANP has been employed for various problems: determining the importance of product technical requirements to be incorporated into a zero-one goal programming (Karsak, Sozer, & Alptekin, 2003); determining the importance of factors in product design using QFD (Raharjo, Brombacher, & Xie, 2008); prioritizing the alternative connection types in design for disassembly (Güngör, 2006); selecting the best concept for new product development (Ayag & Özdemïr, 2007).…”

Section: Anpmentioning

confidence: 99%