Supplier evaluation using hybrid multiple criteria decision making approach

Jajimoggala, Sarojini; Rao, V.V.S. Kesava; Satyanarayana, Behara

doi:10.1504/ijads.2011.040882

Cited by 16 publications

(3 citation statements)

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“…The fuzzy ANP method for assessment of BI competencies in ESs is constructed using Chang's extent analysis method (Chang, 1992(Chang, , 1996, which has been widely used in the literature (Dagdeviren et al, 2008;Jajimoggala et al, 2011;Kahraman et al, 2006;Moalagh and Ravasan, 2013). Likewise, the method is relatively easier than other proposed approaches and is being used here.…”

Section: Fuzzy Anp Algorithmmentioning

confidence: 99%

A practical framework for assessing business intelligence competencies of enterprise systems using fuzzy ANP approach

Rouhani

Ravasan

2015

IJADS

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As traditional concept in management, decision support had a remarkable role in competitiveness or survival of organisations and following, as modern impression, nowadays business intelligence (BI) has various applications in achieving desirable decision supports. Consequently, assessing BI competencies of enterprise systems can enable decision support in firms. This paper presents a practical framework for assessing the business intelligence capabilities of enterprise systems based on a set of novel factors and utilising fuzzy analytic network process (FANP). Through this, the construct of BI competency is decomposed into three main competency parts including 'managerial', 'technical' and 'system enabler' sub-goals, five main factors and 26 criteria. Using this framework, the BI competency level of enterprise systems can be determined which can help the decision makers to select the enterprise system that best suits organisations' intelligence decision support needs. In order to validate the proposed model, it is applied to a real Iranian international offshore engineering and construction company in the oil industry to select and acquire ERP system. This research provides a complete frame (factors, criteria and procedures) for firms to assess their proposed software and systems in the field of BI competencies and functions.

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Section: Fuzzy Anp Algorithmmentioning

confidence: 99%

A practical framework for assessing business intelligence competencies of enterprise systems using fuzzy ANP approach

Rouhani

Ravasan

2015

IJADS

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“…Decision-making methods have involved an effective process that help human and companies in complex and different situations (e.g., Gitinavard et al, 2016a;Mousavi et al, 2013aMousavi et al, , 2015Mousavi et al, , 2016Zhang and Xu, 2017). In two decades, a diversity of decision-making methods has been developed to assist the DMs for choosing in the situation of multi-criteria analysis, such as simple additive weighting (SAW), analytic hierarchy process (AHP), the technique for order preference by similarity to ideal solution (TOPSIS), elimination and choice expressing reality (ELECTRE), and vlse kriterijumska optimisacija kompromisno resenje (VIKOR in Serbian) (e.g., Jajimoggala et al, 2011;Burmaoglu and Kazancoglu, 2012;Aktan and Samut, 2013;Kazemi et al, 2014;Mehregan et al, 2014;Soleymani et al, 2016). Moreover, most decision-making methods are usually applied to solve the decision problems with a decision maker (DM) while for the importance and complexity of real-world problems several DMs as group decision making (GDM) should be considered to make a best decision (Hashemi et al, 2013(Hashemi et al, , 2014Ebrahimnejad et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Solving group decision-making problems in manufacturing systems by an uncertain compromise ranking method

Mousavi

Foroozesh

Gitinavard

et al. 2018

IJADS

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The purpose of this paper is to introduce a new modified compromise ranking method (VIKOR), known as sorting the possible alternatives and determining the compromise solution under interval-valued hesitant fuzzy sets (IVHFSs) for solving group decision-making problems in manufacturing systems. By using numerical measure and crisp data, the decision making is complex in real-life situations because the decision makers (DMs)' judgments are usually hesitant and vague. A more applicable and realistic approach based on interval-valued hesitant fuzzy elements (variables) is presented and defined as the inputs to the presented VIKOR method. The proposed interval-valued hesitant fuzzy modified VIKOR (IVHF-MVIKOR)

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“…The decision quality has great influences on the benefits and the efficiency of the use of resources of the company (Martino, 1995). However, there are two key obstacles for this process: (a) Incomplete and unreliable information which is caused by future events and opportunities that the decision process has to deal with, and (b) difficulties in tradeoffs which are caused by the multi-objective decision making process (Bagloee & Reddick, 2011;Das, Sarkar, & Ray, 2012;Jajimoggala, Kesava Rao, & Beela, 2011;Jajimoggala, Rao, & Beela, 2010;Michalopoulos, Georgiou, & Paparrizos, 2009;Nooraie, 2011;Sodenkamp & Suhl, 2012;J. Wang & Hwang, 2007).…”

Section: Introductionmentioning

confidence: 99%

A New Multi-Objective Model for R&D Project Portfolio Selection Considering Potential Repetitive Projects and Sanction Impacts

Rabbani

Najjarbashi

Joudi

2013

International Journal of Strategic Decision Sciences

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In today’s highly competitive marketplace, selecting an appropriate set of projects from a portfolio of candidate projects is vital for enterprises. An accurate selection of projects can steer a company to great success, while a careless selection may lead it to bankruptcy. Variability of project parameters such as benefit, cost, risk (failure probability), etc. during planning horizon makes this selection more complicated and increases the importance of an elaborate analysis. In this article, we studied a multi-objective R&D project portfolio selection problem. There is a conflicting desire to maximize expected net benefit and minimize risk in companies. From a novel perspective, the authors considered repetitive projects and variable amounts for aforementioned project parameters during planning horizon that could be an effect of sanctions, in our model that are features of real world problems. Due to NP-hardness of the problem and its high computational effort especially when the number of projects grows, we solved test problems of different sizes using a Multi-Objective Differential Evolution (MODE) algorithm to find pareto optimal solutions.

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Supplier evaluation using hybrid multiple criteria decision making approach

Cited by 16 publications

References 0 publications

A practical framework for assessing business intelligence competencies of enterprise systems using fuzzy ANP approach

A practical framework for assessing business intelligence competencies of enterprise systems using fuzzy ANP approach

Solving group decision-making problems in manufacturing systems by an uncertain compromise ranking method

A New Multi-Objective Model for R&D Project Portfolio Selection Considering Potential Repetitive Projects and Sanction Impacts

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