Use of ANP weighted crisp and fuzzy QFD for product development

Zaim, Selim; Sevkli, Mehmet; Akdağ, Hatice Camgöz; Demirel, Omer F.; Yayla, Ayse; Delen, Dursun

doi:10.1016/j.eswa.2014.01.008

Cited by 131 publications

(67 citation statements)

References 92 publications

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“…In such circumstances, a complicated analysis is necessary to figure out the weights of all components. The ANP method is useful for getting more accurate and effective results in complex decision-making problems, due to involving relationships among sub-criteria under each cluster and interactions among different criteria [17].…”

Section: Analytic Network Process (Anp)mentioning

confidence: 99%

A Two-Phased Multi-Criteria Decision-Making Approach for Selecting the Best Smartphone

Yıldız

Ergul

2015

SAJIE

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In the last 20 years, rapid and significant developments have occurred in communication and information technologies. In parallel with these developments, the importance of smartphones has increased. In addition, many smartphone manufacturers have launched and continue to launch a number of new models with many features. People who want to buy a new smartphone have difficulties selecting the best smartphone among the numerous models available on the technology markets. Therefore, smartphone selection has become a complex multi-criteria decision-making (MCDM) problem for people. Hence, decision-making processes will be facilitated by using MCDM methods, and these will provide the most appropriate decision. In this paper, the best smartphone among the 28 alternatives determined by the person who will buy them are selected by using three main criteria and 17 sub-criteria with the help of a two-phased MCDM approach. In the first phase, 28 smartphone alternatives are ranked using the analytic network process (ANP). In the second phase, a model that includes the best four alternatives of ANP is created. Afterwards, the best smartphone is selected using the generalised Choquet integral (GCI) method according to this model. Finally, the findings and the results are given. OPSOMMINGGedurende die afgelope twintig jaar het daar vinnige en noemenswaardige ontwikkeling in die kommunikasie en informasie tegnologie geskied. In parallel hiermee het die belangrikheid van slimtelefone toegeneem. Daarmee saam stel slimtelefoon-vervaardigers gereeld nuwe modelle met nuwe funksies vry. Dit is dus moeilik vir 'n potensiële kliënt om die beste seleksie uit die groot verskeidenheid tot hul beskikking te maak. Slimtelefoonseleksie is 'n ingewikkelde multi-kriteria besluitnemingsprobleem. Die besluitnemingsproses word dus gefasiliteer deur gebruik te maak van multi-kriteria besluitnemingsmetodes. Hierdie artikel bepaal die beste slimtelefoon vanuit agt-en-twintig alternatiewe deur gebruik te maak van drie hoof kriteria en sewentien subkriteria met die hulp van 'n twee-ledige multi-kriteria besluitnemingsbenadering. Eerstens word die agt-entwintig alternatiewe met behulp van die analitiese netwerk proses gerangskik en daaruit word 'n model, wat uit die vier beste alternatiewe bestaan, geskep. Laastens word die beste slimtelefoon gekies deur die veralgemeende Choquet integraal metode op die model toe te pas.

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Section: Analytic Network Process (Anp)mentioning

confidence: 99%

A Two-Phased Multi-Criteria Decision-Making Approach for Selecting the Best Smartphone

Yıldız

Ergul

2015

SAJIE

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“…Aragones-Beltran et al (2014) used AHP and ANP model to select the solar-thermal power plant investment projects. Zaim et al (2014) proposed an ANP framework to rank the technical characteristics of product. Theiben and Spinler (2014) developed an evaluation model to measure which supplier is the most suitable partner for implementation of a collaborative CO2 reduction and so on.…”

Section: Multi-criteria Decision-making In Smartphone Industry Supplymentioning

confidence: 99%

Constructing a Network Evaluation Framework for Improving the Financial Ecosystem in Small-Medium Size Firms

Lin

2018

Technological and Economic Development of Economy

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Abstract. This study presents an evaluation framework to measure the various operations to acquire the optimal core operation (CO) when financier provides the supply chain finance (SCF) services in smartphone industry supply chain (SC). The proposed model applies the modify Delphi method and analytic network process (ANP). First, the evaluation model establishes a network with three criteria, eleven sub-criteria and four operations. Next, the ANP is utilized to the framework to obtain the relative weights of the criteria. Finally, the application of the multi-criteria decision making process will list the optimal CO on the basis of their rankings in the framework.The proposed model and the relevant research results can provide academic support to the decision-makers on finance sector with a valuable objective guide for assessing the CO of smartphone industry SC programs to determine the optimal solution in their actual administration of SCF service practices.

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“…Wang 16 determined the standard weight in the fuzzy multi-criteria decision, combined with the fuzzy quality function deployment (FQFD) and relative preference relation. Zaim et al 17 sorted the product technical characteristics which used hybrid analytic network process (ANP) and fuzzy logic. Li et al 18 put forward modeling method based on rough set theory and determined some technical characteristic target of QFD.…”

Section: Requirement Mappingmentioning

confidence: 99%

Customer requirement modeling and mapping of numerical control machine

Sheng

Wang

Song

et al. 2015

Advances in Mechanical Engineering

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In order to better obtain information about customer requirement and develop products meeting customer requirement, it is necessary to systematically analyze and handle the customer requirement. This article uses the product service system of numerical control machine as research objective and studies the customer requirement modeling and mapping oriented toward configuration design. It introduces the conception of requirement unit, expounds the customer requirement decomposition rules, and establishes customer requirement model; it builds the house of quality using quality function deployment and confirms the weight of technical feature of product and service; it explores the relevance rules between data using rough set theory, establishes rule database, and solves the target value of technical feature of product. Using economical turning center series numerical control machine as an example, it verifies the rationality of proposed customer requirement model.

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Use of ANP weighted crisp and fuzzy QFD for product development

Cited by 131 publications

References 92 publications

A Two-Phased Multi-Criteria Decision-Making Approach for Selecting the Best Smartphone

A Two-Phased Multi-Criteria Decision-Making Approach for Selecting the Best Smartphone

Constructing a Network Evaluation Framework for Improving the Financial Ecosystem in Small-Medium Size Firms

Customer requirement modeling and mapping of numerical control machine

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