A fuzzy group quality function deployment model for e-CRM framework assessment in agile manufacturing

Zandi, Faramak; Tavana, Madjid

doi:10.1016/j.cie.2011.02.004

Cited by 61 publications

(30 citation statements)

References 78 publications

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“…In the application steps of QFD, companies can observe several advantages; such as being customer oriented, helping to combine large amount of verbal data, combining multifunctional teams, improvement of consensus about the solutions found, reducing start-up and engineering costs in product development process and being utilizable in both processes and services of different sectors [14,22,27,28]. Hence, QFD has been applied in various business areas, such as communication, software systems, transportation, electronics, education and research, manufacturing, services, IT, and shipbuilding, [26,28].…”

Section: Qfdmentioning

confidence: 99%

Extending Fuzzy QFD Methodology with GDM Approaches: An Application for IT Planning in Collaborative Product Development

Büyüközkan

Güleryüz

2015

Int. J. Fuzzy Syst.

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Collaborative product development (CPD) is a technology intensive process and effective planning in information technologies (IT) can improve the performance of CPD activities. Considering that quality function deployment (QFD) can be utilized as a planning tool for products and systems, the use of the QFD can enable IT systems to align their structure for CPD. In the QFD approach, the house of quality matrix is used for converting customer requirements into engineering characteristics. The challenge in this process is the profile of the inputs that are collected from the participants who provide feedback on customer requirements. Individual judgments of these participants can be in various formats, or can indicate preferences that are incomplete. This study aims to tackle with this issue by making use of an extended QFD methodology in CPD for IT planning. For this purpose, two group decision making (GDM) approaches are used to address both challenges of multiple preference formats and incomplete information. The validity of the developed IT planning model for CPD is tested with a case study at a Turkish software company using the two GDM approaches, and the obtained results are discussed. As customer requirements are important at every phase of CPD, the proposed model can help implementers to improve their decision processes.

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Section: Qfdmentioning

confidence: 99%

Extending Fuzzy QFD Methodology with GDM Approaches: An Application for IT Planning in Collaborative Product Development

Büyüközkan

Güleryüz

2015

Int. J. Fuzzy Syst.

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“…Fuzzy logic is an efficient mathematical tool to correlate human linguistic judgments which are full of ambiguity, vagueness and incomplete in nature with a mathematical basis. Agility issues related to agility system modeling and FAI evaluation have been addressed in the literature to a considerable extent (Yaghoubi et al, 2011;Garbie, 2011;Kaveh et al, 2011;Radfar et al, 2011;Somuyiwa et al, 2011;Karuppusami et al, 2011;Zandi and Tavana, 2011;Tseng and Lin, 2011). However, the effect of the decision-making environment and the influence of decision-making attitudes (of the DM) have rarely been studied.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Agility evaluation in fuzzy context: influence of decision-makers’ risk bearing attitude

Mishra

Mahapatra

Datta

2014

Benchmarking: An International Journal

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to investigate the influence of decision-makers' (DM) risk bearing attitudes and the effect of the decision-making environment on estimating the overall degree of agility of an organization. The present study explores an extended agility model in a specific organization's hierarchy and reflects how decision-making attitudes alter an organizational agility scenario. Design/methodology/approach -The concept of fuzzy logic has been explored in this paper. Based on DMs' linguistic judgments, a fuzzy appropriateness rating as well as fuzzy priority weights have been determined for different levels of agile system hierarchy. Using a multi-grade fuzzy approach the overall agility index has been determined. The concept of fuzzy numbers ranking has been explored to show the effect of decision-making attitudes on agility estimations. Findings -Decision-making attributes, e.g. the category of DM (neutral, risk-averse and risk-taking), affect the quantitative evaluation of the overall agility degree, which is correlated with a predefined agility measurement scale. Research limitations/implications -This study explores a triangular fuzzy membership function to express DMs' linguistic judgments as fuzzy representations. Apart from triangular fuzzy numbers, trapezoidal and Gaussian fuzzy numbers may also be used for agility evaluation. The model may be used in other agile industries for benchmarking and selection of the best approach. Practical implications -Selecting the right decision-making group to compute and analyze the agility level for a particular organization is an important managerial decision. In the case of benchmarking of various agile enterprises the decision-making group bearing the same attitude should be utilized. Originality/value -Agile system modeling and development of agility appraisement platforms have been attempted by previous researchers while the influence of DMs' risk bearing attitudes, and the effect of the decision-making environment on estimating the overall degree of agility, have rarely been studied. In this context, the authors explore an exhaustive agility model for implementing in a case study and reveal how decision-m...

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“…These practices have proven that QFD is able to improve product development processes and deliver high-quality products that are highly focused on and responsive to CRs. When corporations direct their efforts towards meeting their CRs by using QFD, higher product quality, better customer satisfaction, and larger revenues are obtained owing to the minimization of internal conflicts, shorter development cycle times, and increased market penetration (Carnevalli and Miguel, 2008;Chen and Ko, 2011;Cristiano et al, 2000;Li et al, 2009Li et al, , 2010bMirzapour Al-e-hashem et al, 2011;Min and Kim, 2008;Iranmanesh and Thomson, 2008;Kim et al, 2000;Kwong et al, 2008;Raharjo et al, 2008;Reich, 2000;Reich and Levy, 2004;Shen et al, 2001;Shin et al, 1997;Sireli et al, 2007;Wang and Chin, 2011;Yazdifar and Askarany, 2012;Zandi and Tavana, 2011;Zhai et al, 2010).…”

Section: Introductionmentioning

confidence: 97%

On integrating multiple type preferences into competitive analyses of customer requirements in product planning

Tang

Chin

et al. 2012

International Journal of Production Economics

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A fuzzy group quality function deployment model for e-CRM framework assessment in agile manufacturing

Cited by 61 publications

References 78 publications

Extending Fuzzy QFD Methodology with GDM Approaches: An Application for IT Planning in Collaborative Product Development

Extending Fuzzy QFD Methodology with GDM Approaches: An Application for IT Planning in Collaborative Product Development

Agility evaluation in fuzzy context: influence of decision-makers’ risk bearing attitude

On integrating multiple type preferences into competitive analyses of customer requirements in product planning

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