An integrated fuzzy logic approach to customer-oriented product design

Göloğlu, Cevdet; Mızrak, Cihan

doi:10.1080/09544820903032519

Cited by 18 publications

(17 citation statements)

References 18 publications

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“…The framework bridges previous work by (Gologlu & Mizrak, 2011;Mauchand et al, 2008;Thurston, 1991) by encoding both performance evaluation using rules and cost assessment as rules, and pushes forward in the direction of increased scalability and traceability of architecture evaluation tools, in order to facilitate the use of these tools for large, knowledge-intensive design problems.…”

Section: Rule-based Systems For Designmentioning

confidence: 87%

“…The House of Quality is augmented with a variety of information about coupling between engineering characteristics, relative importance of customer attributes, and customer perceptions of the product with respect to the competition amongst others. Other qualitative approaches rely on the use of semantic qualifiers and fuzzy logic to model customer preferences, as suggested by (Park & Han, 2004) and (Gologlu & Mizrak, 2011).…”

Section: Related Work 21 Classical Design Evaluation Methodologiesmentioning

confidence: 99%

“…Different forms of rulebased systems have been used for design synthesis (Antonsson & Cagan, 2001;Stiny, 1980). In design evaluation, rule-based systems have been used in the past for some aspects of both value assessment (Gologlu & Mizrak, 2011;Park & Han, 2004), and cost assessment (Mauchand, Siadat, Bernard, & Perry, 2008).…”

Section: Rule-based Systems For Designmentioning

confidence: 99%

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A rule-based method for scalable and traceable evaluation of system architectures

2014

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Despite the development of a variety of decision-aid tools for assessing the value of a conceptual design, humans continue to play a dominant role in this process. Researchers have identified two major challenges to automation, namely the subjectivity of value and the existence of multiple and conflicting customer needs. A third challenge is however arising as the amount of data (e.g., expert judgment, requirements, and engineering models) required to assess value increases. This brings two challenges. First, it becomes harder to modify existing knowledge or add new knowledge into the knowledge base. Second, it becomes harder to trace the results provided by the tool back to the design variables and model parameters. Current tools lack the scalability and traceability required to tackle these knowledge-intensive design evaluation problems. This work proposes a traceable and scalable rule-based architecture evaluation tool called VASSAR that is especially tailored to tackle knowledge-intensive problems that can be formulated as configuration design problems, which is demonstrated using the conceptual design task for a laptop. The methodology has three main steps. First, facts containing the capabilities and performance of different architectures are computed using rules containing physical and logical models. Second, capabilities are compared with requirements to assess satisfaction of each requirement. Third, requirement satisfaction is aggregated to yield a manageable number of metrics. An explanation facility keeps track of the value chain all along this process. This paper describes the methodology in detail, and discusses in particular different implementations of preference functions as logical rules. A full-scale example around the design of Earth observing satellites is presented.

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Section: Rule-based Systems For Designmentioning

confidence: 87%

Section: Related Work 21 Classical Design Evaluation Methodologiesmentioning

confidence: 99%

Section: Rule-based Systems For Designmentioning

confidence: 99%

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A rule-based method for scalable and traceable evaluation of system architectures

2014

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“…Most tools of this group are characterized by providing mechanisms to help the customer to customize the product (Chang & Tseng, 2008;Chen, Wang, & Wong, 2001;Gologlu & Mizrak, 2011;Jiao, Xu, et al, 2007;Ma, Chen, & Wu, 2007;Ninan & Siddique, 2006;Nordin, Hopf, Motte, Bjarnemo, & Eckhardt, 2011). With that specific objective, Ma et al (2007) propose a mechanism to reduce the complexity of product customization process by customers.…”

Section: Customer Integration In Npdmentioning

confidence: 99%

“…Using fuzzy logic applied to the customization of chalices, customer demands are processed and result in specifications in a CAD system. Gologlu and Mizrak (2011) propose an online product configurator that uses fuzzy logic to analyze customer demands and translate them into product specifications, resulting in a CAD design of the customized product. Ninan and Siddique (2006) also propose and online product configurator, however, in addition to resulting in CAD designs, it also optimize the structure of the customized product by means of Finite Element Analysis (FEA).…”

Section: Customer Integration In Npdmentioning

confidence: 99%

New product development for mass customization: a systematic review

Fettermann

Echeveste

2014

Production & Manufacturing Research

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The incorporation of tools into New Product Development (NPD) process tends to contribute to the implementation of Mass Customization strategy in companies. Different knowledge areas -such as marketing, design and engineering -offer tools for different stages of product development. The specificity of those tools makes their selection and application to NPD process difficult. This paper aims at carrying out a literature review of applicable tools in respect to the NPD aimed at MC promotion. It also aims at identifying, according to its objective, its localization and application to NPD process. By means of a systematic review, 39 tools for NPD were identified. The results present bibliometrics on the tools, identify four tool clusters according to their contributions to product development, and also identify opportunities for research about the theme.

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Examination of Factors Affecting Customer Oriented Product Design in Automotive Industry

Kadaifçi

Sarı

2020

Studies in Systems, Decision and Control

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An integrated fuzzy logic approach to customer-oriented product design

Cited by 18 publications

References 18 publications

A rule-based method for scalable and traceable evaluation of system architectures

A rule-based method for scalable and traceable evaluation of system architectures

New product development for mass customization: a systematic review

Examination of Factors Affecting Customer Oriented Product Design in Automotive Industry

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