A hybrid approach to concept selection through fuzzy analytic network process

Ayağ, Zeki; Özdemir, Rıfat Gürcan

doi:10.1016/j.cie.2008.06.011

Cited by 159 publications

(64 citation statements)

References 33 publications

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“…Because and , constraint (2) preserves the vector λ to be non-zero. This observation together with (1) …”

Section: Appendixmentioning

confidence: 99%

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Sustainable R&D Portfolio Assessment

Vandaele¹,

Decouttere²

2011

SSRN Journal

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Research and development portfolio management is traditionally technologically and financially dominated, with little or no attention to the sustainable focus, which represents the triple bottom line: not only financial (and technical) issues but also human and environmental values. This is mainly due to the lack of quantified and reliable data on the human aspects of product/service development: usability, ecology, ethics, product experience, perceived quality etc. Even if these data are available, then consistent decision support tools are not ready available. Based on the findings from an industry review, we developed a DEA model that permits to support strategic R&D portfolio management. We underscore the usability of this approach with real life examples from two different industries: consumables and materials manufacturing (polymers).

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“…Because and , constraint (2) preserves the vector λ to be non-zero. This observation together with (1) …”

Section: Appendixmentioning

confidence: 99%

“…Calantone et al [6], Poh et al [25] and Ayag and Ozdemir [2] are examples where AHP is used to rank R&D projects. Ayag and Ozdemir [2] use a generalized version of AHP, namely Analytic Network Process (ANP).…”

Section: Related Academic Workmentioning

confidence: 99%

Sustainable R&D Portfolio Assessment

Vandaele¹,

Decouttere²

2011

SSRN Journal

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“…This chapter will focus on FANP in fuzzy decision-making based on triangular fuzzy numbers. Actually, some researchers have focused on decision-making based on FANP (Promentilla et al, 2008 ;Ayağ & Özdemir, 2009 ;Boran & Goztepe, 2010;Dağdeviren & Yüksel, 2010;Pires et al, 2011 ;Ju et al, 2012 ;etc. ).…”

Section: What's Fanp?mentioning

confidence: 99%

Fuzzy Analytical Network Process Implementation with Matlab

Zhou¹

2012

MATLAB - A Fundamental Tool for Scientific Computing and Engineering Applications - Volume 3

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“…Wang and Hwang (2007) considered each stage of a new product project similar to purchasing an option on a future investment, and developed a fuzzy real-options valuation model, combined with fuzzy integer linear programming, to conduct portfolio selection. Ayag and Ozdemir (2009) developed a fuzzy analytical network process-based approach to evaluate a set of conceptual design alternatives developed in an NPD environment to determine the option that satisfied both the needs and expectations of customers, and the engineering specifications of the company. Lin et al (2010) combined the analytical hierarchy approach and the fuzzy integral method with MCDM techniques to construct a value-created model to evaluate new mobile communication package offerings.…”

Section: Literature Reviewmentioning

confidence: 99%

A Linguistic Approach to Measuring the Attractiveness of New Products in Portfolio Selection

Lin

Yang

2014

Group Decis Negot

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To gain a competitive edge, companies must continually invest in new product development (NPD), and must decide how to strategically allocate limited resources. The most critical NPD activity is the accurate assessment of the attractiveness of new products, simultaneously considering favorable factors (project value and strategic fit) and unfavorable factors (project risks), especially in robust companies in developing countries. In the NPD development process, the attractiveness of products is often evaluated using information that is imprecise or ambiguous. Fuzzy logic is well-suited to inform NPD decision-making. Thus, a comprehensive method considering both favorable and unfavorable factors, and using a fuzzy weighted average to devise a fuzzy possible-attractiveness rating (FPAR) of an NPD project for portfolio selection, is proposed in this paper. FPAR is a measurement of information, which is able to retain the multiplicity of that information. The proposed evaluation technique was demonstrated using a Taiwanese company as an example. The results indicated that this method provided an accurate assessment of overall product attractiveness, necessary for obtaining organizational buy-in, and can effectively aid managers to conduct sensitive analyses, balance the impact of changes in strategy, and receive quick feedback on the results of such changes.

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A hybrid approach to concept selection through fuzzy analytic network process

Cited by 159 publications

References 33 publications

Sustainable R&D Portfolio Assessment

Sustainable R&D Portfolio Assessment

Fuzzy Analytical Network Process Implementation with Matlab

A Linguistic Approach to Measuring the Attractiveness of New Products in Portfolio Selection

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