A fuzzy analytic network process (ANP) model to identify faulty behavior risk (FBR) in work system

Dağdeviren, Metin; Yüksel, İhsan; Kurt, Mustafa

doi:10.1016/j.ssci.2007.02.002

Cited by 150 publications

(56 citation statements)

References 25 publications

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“…It is also used in the inter-dependent information system project selection process, the quality function deployment process, the project selection problem, personnel selection and for location selection [24÷28]. ANP is used for BOCR analysis, determination of faulty behaviour risks in work and determination of building's energy performance [29,30]. The method is also used for the selection of dispatching rules in an organization and selection of milling machines [9,31].…”

Section: Principles Of Anp and Gra Methods 21 The Anp Methodsmentioning

confidence: 99%

A hybrid approach based on ANP and grey relational analysis for machine selection

2017

Teh. vjesn.

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A HYBRID APPROACH BASED ON ANP AND GREY RELATIONAL ANALYSIS FOR MACHINE SELECTION Mehmet Kabak, Metin DağdevirenOriginal scientific paper In a manufacturing system, inappropriate machine selection may lead to many problems by negatively affecting productivity, precision, flexibility and product quality, and machine selection is considered to be an important subject to make the system effective. A Multi-Criteria Decision Making (MCDM) which is relying on the different criteria and alternatives is to choose the most suitable machine among many alternatives. In this study, for machine selection problem, a hybrid approach is proposed which combines Analytic Network Process (ANP) and Grey Relational Analysis (GRA). To identify weights of the selection criteria and to analyze the machine selection problem, the ANP is used whilst the GRA is used for ranking. The proposed approach can be applied easily by anybody (technical staff, managers, manufacturer, vendor, etc.) familiar with basic Microsoft Excel knowledge. The proposed approach is used for the selection problem of CNC router machines to be bought by an international company. As a result, the company has considered the method and outcomes acceptable and appropriate to implement to the machine selection decisions. Keywords: Analytic Network Process (ANP); CNC router machine; Grey Relational Analysis (GRA); Machine selection; Multi Criteria Decision-Making (MCDM) Hibridni pristup zasnovan na analitičkom mrežnom postupku i sivoj relacijskoj analizi za izbor strojaIzvorni znanstveni članak U proizvodnom sustavu, neodgovarajući izbor stroja može stvoriti mnoge probleme jer može negativno utjecati na proizvodnost, preciznost, fleksibilnost i kvalitetu proizvoda, pa se odabir stroja smatra važnim za učinkovitost sustava. Odlučivanje na temelju višestrukih kriterija -MCDM (Multi-Criteria Decision Making) koje se zasniva na različitim kriterijima i alternativama znači izabrati najpogodniji stroj između mnogih alternativa. U ovom radu o problemu izbora stroja, predlaže se hibridni pristup koji kombinira analitički mrežni postupak -ANP (Analytic Network Process) i postupak sive relacijske analize -GRA (Grey Relational Analysis). Za prepoznavanje težina izbornih kriterija i analizu problema izbora stroja primijenjen je ANP dok je GRA primijenjen za rangiranje. Svatko s osnovnim poznavanjem Microsoft Excel-a (tehničko osoblje, menađeri, proizvođač, prodavač itd.) može lako primijeniti predloženi pristup. Taj je pristup primijenjen kod problema izbora strojeva sa CNC usmjernikom koje bi kupila internacionalna kompanija. Kao rezultat, kompanija je razmotrila tu metodu i ishode prihvatljive i odgovarajuće za primjenu kod donošenja odluke o izboru stroja.Ključne riječi: analitički mrežni postupak; izbor stroja; odlučivanje na temelju višestrukih kriterija; siva relacijska analiza; stroj s CNC usmjernikom

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Section: Principles Of Anp and Gra Methods 21 The Anp Methodsmentioning

confidence: 99%

A hybrid approach based on ANP and grey relational analysis for machine selection

2017

Teh. vjesn.

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“…The risk will be increased in a nonlinear way with the value increasing and we can classify them in an equidistance division way. At the same time, we can get the fact from other studies [35,36] that the FBR will be major risks if their score exceeds 40% of the total score. On the other hand, the effective measures should be taken when the FBR is in major level and the major level score value interval should be expanded to take measures timely.…”

Section: C7 Materialsmentioning

confidence: 95%

“…On the other hand, the effective measures should be taken when the FBR is in major level and the major level score value interval should be expanded to take measures timely. Therefore, based on the requirement of safety management, experience of experts, and other references [36], the FBR value will divide into four degrees.…”

Section: C7 Materialsmentioning

confidence: 99%

A Hybrid Approach for Evaluating Faulty Behavior Risk of High‐Risk Operations Using ANP and Evidence Theory

Zheng

Wang

Zhou

2017

Mathematical Problems in Engineering

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Hydropower project construction is a high-risk operation, where accidents occur frequently. Moreover, the factors leading to accidents are often human factors, so safety evaluation of these factors for the hydropower projects' work system is very significant. The Human Factors Analysis and Classification System (HFACS) framework is applied to build evaluation system. In the evaluation process, correlation analysis is used to form the intercriteria analysis matrix that helps the decision makers to build impact relation matrix. Factor weights are calculated by the Analytic Network Process (ANP). In the index value determination step, the evidence theory is used to eliminate the conflicts of three decision makers and the index values are then calculated. The faulty behavior risk (FBR) assessment value is finally obtained. The proposed method is practical and its applicability is proved by an example.

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“…Unlike AHP, ANP considers the dependency and feedback among the elements of the problem [30]. Hence, ANP models provide more reliability and reality than AHP models [31] and can offer better solutions in a complex multi criteria decision environment [32,33]. Two layers can be defined for an ANP model: 1-The control layer including goal, criteria and decision-making rules; 2-the network layer which includes the network structure which connects factors, sub-factors or alternatives [31,34].…”

Section: Step 3: Ranking Csfs Using Fuzzy Analytic Network Processmentioning

confidence: 99%

Exploring Critical Success Factors in Urban Housing Projects Using Fuzzy Analytic Network Process

Youneszadeh¹,

Ardeshir²,

Sebt³

2017

CivileJournal

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Population growth and increasing trend towards urbanization have caused housing demand to exceed its supply, particularly in urban areas in developing countries. Furthermore, housing industry motivates many subsidiary industries and plays a leading socio-economic role in such countries. Therefore, successful completion of housing projects is of great significance quantitatively and qualitatively.This study aims to propose a framework to evaluate the critical success factors (CSFs) in housing projects considering the interrelationship among factors and criteria. The factors were initially identified through literature review and then refined and categorized using a two-round Delphi method and finally prioritized using fuzzy analytic network process (FANP). To demonstrate the implementation of the proposed model, a case study was carried out on an urban residential building project in Tehran. The framework proposed in this study can be applied as a decision support system for decision makers, project managers and practitioners involved in the housing sector.

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A fuzzy analytic network process (ANP) model to identify faulty behavior risk (FBR) in work system

Cited by 150 publications

References 25 publications

A hybrid approach based on ANP and grey relational analysis for machine selection

A hybrid approach based on ANP and grey relational analysis for machine selection

A Hybrid Approach for Evaluating Faulty Behavior Risk of High‐Risk Operations Using ANP and Evidence Theory

Exploring Critical Success Factors in Urban Housing Projects Using Fuzzy Analytic Network Process

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