Decision making in equipment selection: an integrated approach with digraph and matrix approach, AHP and ANP

Paramasivam, V.; Senthil, V.; Ramasamy, N. Rajam

doi:10.1007/s00170-010-2997-4

Cited by 44 publications

(21 citation statements)

References 12 publications

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“…It is also a generalized model; it does not consider any assumptions in the cluster interdependencies of the decision making application (Jharkharia and Shankar, 2007). The ANP is a widely used MCDM tool in many real life applications due to its momentous benefits (see, for instance, Sipahi and Timor, 2010;Paramasivam et al, 2011;Van Horenbeek and Pintelon, 2014;Nixon et al, 2013;Govindan et al, 2013;Dou et al, 2014).…”

Section: Fuzzy Analytic Network Process (Anp)mentioning

confidence: 99%

Application of fuzzy analytic network process for barrier evaluation in automotive parts remanufacturing towards cleaner production – a study in an Indian scenario

Govindan

Shankar

Kannan

2016

Journal of Cleaner Production

152

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Section: Fuzzy Analytic Network Process (Anp)mentioning

confidence: 99%

Application of fuzzy analytic network process for barrier evaluation in automotive parts remanufacturing towards cleaner production – a study in an Indian scenario

Govindan

Shankar

Kannan

2016

Journal of Cleaner Production

152

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“…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%

“…AHP and TOPSIS methods were used together to select the sector for ERP implementation to achieve the best effect on supply chain performance [8]. Fuzzy models [1] and hybrid approaches [9,10] can be seen in recent studies made for decision making problems. An integrated fuzzy multi-criteria decision making methodology utilized from fuzzy sets, ANP and PROMETHEE approaches are also used for material handling equipment selection [11].…”

Section: Introductionmentioning

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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“…The qualitative nature of the decision criteria's and information uncertainties like incomplete, missing or imprecise data make the ranking process even more difficult in multi-criteria decision-making (MCDM) [10]. Many MCDM methods have been developed, such as multiple attribute utility theory (MAUT) and analytical hierarchy process (AHP) [11][12][13][14][15]. Most of these methods are suitable for solving small scale MCDM problems without uncertainty.…”

Section: Method: Introduction To Er Approachmentioning

confidence: 99%

Using evidential reasoning approach for prioritization of maintenance-related waste caused by human factors—a case study

Ahmadzadeh

Bengtsson

2016

Int J Adv Manuf Technol

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The reduction and elimination of maintenancerelated waste is receiving increasing attention because of the negative effect of such waste on production costs. The overall goal of this research is to identify and prioritize factors that can be considered maintenance-related waste within the automotive manufacturing industry. Five manufacturing companies participated in a workshop to identify root causes of maintenance-related waste; 16 categories were found. The identified factors were heavily reliant on human factors as a root or major contributory cause at different levels affecting performance and productivity. For prioritization, the evidential reasoning (ER) approach which is one of the latest developments in multi-criteria decision-making is applied. A basic tree structure necessary for ER assessment is developed based on the workshop results as well as literature on human factors. Then, a survey on basic attributes at the lowest level of this tree is designed and performed at one of the companies participating in the workshop. The application of ER shows that, on an overall level, "management condition" is in first order and "maintainer condition" and "working condition" are in second and third order respectively as the worst cases for creating maintenance-related waste. On the most delimited level "inadequate resources" and "weather/indoor climate" have the highest and lowest average scores respectively in ER ranking or prioritization. This methodology with its resulting ranking can be used as a tool to create awareness for managers seeking to reduce or eliminate maintenancerelated waste.

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Decision making in equipment selection: an integrated approach with digraph and matrix approach, AHP and ANP

Cited by 44 publications

References 12 publications

Application of fuzzy analytic network process for barrier evaluation in automotive parts remanufacturing towards cleaner production – a study in an Indian scenario

Application of fuzzy analytic network process for barrier evaluation in automotive parts remanufacturing towards cleaner production – a study in an Indian scenario

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

Using evidential reasoning approach for prioritization of maintenance-related waste caused by human factors—a case study

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