Prioritizing effective 7Ms to improve production systems performance using fuzzy AHP and fuzzy TOPSIS (case study)

Rostamzadeh, Reza; Sofian, Saudah

doi:10.1016/j.eswa.2010.10.045

Cited by 79 publications

(45 citation statements)

References 55 publications

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“…A fuzzy set is characterized with a membership function, which allocates to each element a degree of membership ranging between zero and one [27].…”

Section: Fuzzy Set Theorymentioning

confidence: 99%

A Multi-criteria Group Decision-Making Approach for Facility Location Selection Using PROMETHEE Under a Fuzzy Environment

Tavakkoli–Moghaddam

Sotoudeh-Anvari

Siadat

2015

Lecture Notes in Business Information Processing

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Abstract. This paper presents a Z-PROMETHEE with Z-numbers as a new representation of vague information for a facility location selection (FLS) problem. The selection of a facility location, which is a kind of a multi-criteria decision making (MCDM) problem, should be considered from a strategic point of view. In a real-world situation, MCDM problems are generally under uncertainty. In order to overcome such a problem, fuzzy sets can be applied with the PROMETHEE to allow experts to combine inadequate information into the decision method. However, the fuzzy PROMETHEE also has some defects. The main problem is that the certainty of information is not taking into account. For explanation of real-life information, fuzziness and degree of the certainty of information are indispensable. In the proposed method, Z-numbers are used to evaluate the weights of the criteria. Hence, in comparison with the fuzzy model, the PROMETHEE with a Z-number (i.e., Z-PROMETHEE) can symbolize real life problems more realistically.

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“…A fuzzy set is characterized with a membership function, which allocates to each element a degree of membership ranging between zero and one [27].…”

Section: Fuzzy Set Theorymentioning

confidence: 99%

A Multi-criteria Group Decision-Making Approach for Facility Location Selection Using PROMETHEE Under a Fuzzy Environment

Tavakkoli–Moghaddam

Sotoudeh-Anvari

Siadat

2015

Lecture Notes in Business Information Processing

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“…Moreover, existing studies have adopted TOPSIS to solve MCDM problems [12,18,20,29,41,[43][44][45]51]. Similarly, the basic idea of using TOPSIS in this paper is to compute ideal solution (best values realistic of criteria) and negative ideal solution (worst values realistic of criteria) for ranking the GSD project outcome factors accomplished by GSD teams.…”

Section: Fuzzy Topsismentioning

confidence: 97%

A combined fuzzy DEMATEL and fuzzy TOPSIS approach for evaluating GSD project outcome factors

Sangaiah

Subramaniam

Zheng

2014

Neural Comput & Applic

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The theoretical basis for studying the phenomenon of Global Software Development (GSD) draws upon one of the key research streams, that is, the Organizational Behavior (OB) research. The focus of this study has led to two research problems: partnership quality and service climate aspects are addressed which have given an insight into the OB research on GSD teams. Moreover, this study classifies results from the partnership quality and service climate aspects into one integrated framework, which covers 18 attributes to explore the GSD outcome factors perceived by GSD teams in OB research phenomenon. To evaluate partnership quality and team service climate aspects with reference to the GSD project outcome, we have integrated the fuzzy Decision-Making Trial and Evaluation Laboratory Model (DEMATEL) and the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) approach, which is more appropriate to find the significance of criteria. The empirical application of this hybrid approach for evaluating GSD project outcome factors has been tested in Indian software organizations. Consequently, the results of this study provide a vivid picture and facilitate the organization to reveal the importance of OB research on GSD teams.

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“…(1), we need to perform the operation of fuzzy addition to m extent analysis [22,23,24,25] numbers in the matrix as…”

Section: The Fuzzy Extent Analysis Methodsmentioning

confidence: 99%

An Integrated Fuzzy Approach to Bidder Selection in Public Procurement: Serbian Government Case Study

2015

APH

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Public procurement is one of the most significant activities within the sphere of public administration, whose primary purpose is to achieve maximized cost effectiveness and efficiency for the expenditure of public money. This principle is also known as the principle of "value for money" -meaning to achieve the best possible ratio between the amount paid and the value received. The selection of a suitable bidder within the public procurement procedure assists in our achievement of the aforementioned purpose. In this paper an integrated approach based on the fuzzy Technique for Order Preference by Similarity to Ideal Solution (fuzzy TOPSIS) method and the fuzzy Extent Analysis Method is proposed for utilization within the evaluation and bidder selection processes associatedwith the process of public procurement. The proposed method objectively allows for the evaluation of bidders without the setting of weights by public procurement committees and in so doing helps to avoid subjectivity in respect to the setting of weights for criteria and or sub-criteria. In order to demonstrate the effectiveness and feasibility of the proposed method and its application in public procurement, a real-life case scenario from the Government of Serbia will be presented in this paper.

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Prioritizing effective 7Ms to improve production systems performance using fuzzy AHP and fuzzy TOPSIS (case study)

Cited by 79 publications

References 55 publications

A Multi-criteria Group Decision-Making Approach for Facility Location Selection Using PROMETHEE Under a Fuzzy Environment

A Multi-criteria Group Decision-Making Approach for Facility Location Selection Using PROMETHEE Under a Fuzzy Environment

A combined fuzzy DEMATEL and fuzzy TOPSIS approach for evaluating GSD project outcome factors

An Integrated Fuzzy Approach to Bidder Selection in Public Procurement: Serbian Government Case Study

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