Dynamic multi-attribute decision making model with grey number evaluations

Lin, Yong; Lee, Pin‐Chan; Ting, Hsin-I

doi:10.1016/j.eswa.2007.08.064

Cited by 131 publications

(60 citation statements)

References 20 publications

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“…The concept of grey number was basically derived from grey theory, which deals with the decisions of uncertainty experienced in real-world environment [14][15][16][17][18][19]. The grey number is having upper and/or lower limits whose exact value is unknown but the interval within which the value falls is known [15][16][17].…”

Section: Copras-g Methodologymentioning

confidence: 99%

Multicriteria FMECA Based Decision-Making for Aluminium Wire Process Rolling Mill through COPRAS-G

Pancholi

Bhatt²

2016

Journal of Quality and Reliability Engineering

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This paper presents a multifactor decision-making approach based on "grey-complex proportional assessment (COPRAS-G) method" in a view to overcome the limitations of Failure Mode Effect and Criticality Analysis (FMECA). In this model, the scores against each failure mode are expressed in grey number instead of crisp values to evaluate the criticalities of the failure modes without uncertainty. The suggested study is carried out to identify the weights of major failure causes for bearings, gears, and shafts of aluminium wire rolling mill plant. The primary findings of the paper are that sudden impact on the rolls seems to be most critical failure cause and loss of power seems to be least critical failure cause. It is suggested to modify the current control practices with proper maintenance strategy based on achieved maintainability criticality index (MCI) for different failure causes. The outcome of study will be helpful in deriving optimized maintenance plan to maximize the performance of process industry.

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Section: Copras-g Methodologymentioning

confidence: 99%

Multicriteria FMECA Based Decision-Making for Aluminium Wire Process Rolling Mill through COPRAS-G

Pancholi

Bhatt²

2016

Journal of Quality and Reliability Engineering

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“…According to the procedure of the proposed approach, we can define any number of decision-makers, criteria, and alternatives at each period. In this problem, four criteria are defined for evaluation of subcontractors based on the study of Lin, et al [51]. These criteria are defined as follows: …”

Section: Illustrative Example (Subcontractor Evaluation)mentioning

confidence: 99%

A Dynamic Fuzzy Approach Based on the EDAS Method for Multi-Criteria Subcontractor Evaluation

et al. 2018

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Selection of appropriate subcontractors for outsourcing is very important for the success of construction projects. This can improve the overall quality of projects and promote the qualification and reputation of the main contractors. The evaluation of subcontractors can be made by some experts or decision-makers with respect to some criteria. If this process is done in different time periods, it can be defined as a dynamic multi-criteria group decision-making (MCGDM) problem. In this study, we propose a new fuzzy dynamic MCGDM approach based on the EDAS (Evaluation based on Distance from Average Solution) method for subcontractor evaluation. In the procedure of the proposed approach, the sets of alternatives, criteria and decision-makers can be changed at different time periods. Also, the proposed approach gives more weight to newer decision information for aggregating the overall performance of alternatives. A numerical example is used to illustrate the proposed approach and show the application of it in subcontractor evaluation. The results demonstrate that the proposed approach is efficient and useful in real-world decision-making problems.

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“…In order to assess M independent options considering N criteria (dimensions) for ranking in a Grey environment, we should act as the following steps (Lin et al, 2008;Chen et al, 2011).…”

Section: 1grey Assessment and Rankingmentioning

confidence: 99%

Performance evaluation of services quality in higher education institutions using modified SERVQUAL approach with grey analytic hierarchy process (G-AHP) and multilevel grey evaluation

Zareinejad¹,

Kaviani²,

Esfahani³

et al. 2014

10.5267/j.dsl

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In today's climate of fierce competition, there is a necessity to pay especial attention on customer demands either in manufacturing or service sector. Managers in service sector are under pressure in terms of environmental factors, they focus on customers' satisfaction and this has led to the continuous improvement in the performance of service organizations. Meanwhile, customers' expectations should be properly understood and measured. There have been various efforts to measure the quality of services using the SERVQUAL model. In this study, we try to investigate the concepts and factors influencing the quality of services according to modified SERVQUAL model and then utilize the proposed model of Grey Analytic Hierarchy Process (G-AHP) and Multilevel Grey Evaluation in order to evaluate the quality of services in the framework of Grey Systems Theory (GST). In order to propose our method, we will conduct a case study of the performance of service quality in higher education institutions of Isfahan-Iran.

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Dynamic multi-attribute decision making model with grey number evaluations

Cited by 131 publications

References 20 publications

Multicriteria FMECA Based Decision-Making for Aluminium Wire Process Rolling Mill through COPRAS-G

Multicriteria FMECA Based Decision-Making for Aluminium Wire Process Rolling Mill through COPRAS-G

A Dynamic Fuzzy Approach Based on the EDAS Method for Multi-Criteria Subcontractor Evaluation

Performance evaluation of services quality in higher education institutions using modified SERVQUAL approach with grey analytic hierarchy process (G-AHP) and multilevel grey evaluation

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