A unique fuzzy multi-criteria decision making: computer simulation approach for productive operators’ assignment in cellular manufacturing systems with uncertainty and vagueness

Azadeh, A.; Nazari-Shirkouhi, Salman; Hatami-Shirkouhi, Loghman; Ansarinejad, Ayyub

doi:10.1007/s00170-011-3186-9

Cited by 42 publications

(8 citation statements)

References 24 publications

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“…While the traditional AHP needs to do the consistency test and constantly adjust the judgment matrix, some scholars put forward the fuzzy analytic hierarchy process (FAHP) [9][10][11][12][13][14][15][16][17][18]. We introduce a kind of fuzzy AHP to determine the weights of indicators in this section.…”

Section: The Methods To Determine the Weights Of Evaluation Indicatorsmentioning

confidence: 99%

Production Performance Appraisal Rating for Reservoir Management Units Based on Fuzzy Clustering

Li¹,

Chang²,

Kong

2012

Advances in Fuzzy Systems

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In view of the existing situation of oilfield development, one kind of method to evaluate the production performance of reservoir management units (RMUs) was presented in this paper. Among the commonly used indicators of oilfield development, select 12 indicators from the three aspects of production task, production technology, and reservoir development. According to the principle of fuzzy analytic hierarchy process (FAHP), this paper introduced one kind of new method to get the weights of indicators. By means of the method of TOPSIS, it is easy to obtain the rankings for all the RMUs through calculating the weighted Euclidean distance between each RMU and the positive or negative ideal RMU. Considering the gap between the differences in RMUs, the production performance appraisal ratings of RMUs are determined by fuzzy clustering. This evaluation method could constantly improve the management level of reservoir units and deepen the delicacy management of oilfield development.

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Section: The Methods To Determine the Weights Of Evaluation Indicatorsmentioning

confidence: 99%

Production Performance Appraisal Rating for Reservoir Management Units Based on Fuzzy Clustering

Li¹,

Chang²,

Kong

2012

Advances in Fuzzy Systems

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“…Ouma et al [44], using fuzzy AHP and fuzzy TOPSIS, have achieved the maintenance priority of the 3 km road in Kura. Azadeh et al [45] produced 36 scenarios with the simulation method to determine the most efficient number of operators in cellular production systems and weighted the criteria affecting this decision process with fuzzy AHP and determined the best scenarios with TOPSIS method. Seiti and Hafezalkotob [46] have determined the time of exchange of the most strategic part used in the steel mill by using the risk-based TOPSIS method by ordering ten alternatives under three criteria.…”

Section: Studies In the Literaturementioning

confidence: 99%

Risk Based Maintenance in the Hydroelectric Power Plants

2019

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In this study, maintenance planning problem is handled in one of the hydroelectric power plants which directly affect Turkey’s energy supply security with a fifth share in the total generation. In this study, a result is obtained by taking into consideration the multi-objective and multi-criteria structure of the maintenance planning in the hydroelectric power plants with thousands of complex equipment and the direct effect of this equipment on uninterrupted and low-cost electricity generation. In the first stage, the risk levels of the equipment in terms of the power plant are obtained with the combination of AHP (Analytical Hierarchy Process) and TOPSIS (technique for order preference by similarity to ideal solution) which are frequently used in the literature due to their advantages. Department-based maintenance plans of all equipment for periodic and revision maintenance strategies are formed by integrating these values into the time allocated for maintenance and the number of employees constraints. As a result of the application of this methodology which is designed for the first time in the literature with the integration of multi-criteria decision-making methods for the maintenance planning problem in a hydroelectric power plant, all elements that prevent the sustainable energy supply in the power plant are eliminated.

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“…In fact, this issue has been the object of numerous research studies. For instance, [10] used Fuzzy AHP, TOPSIS and Simulation tools to determine the optimal number and assignment of labor in the system. Many performance measures have been used to achieve some objectives such as the average lead-time, the average labor utilization and the average waiting time.…”

Section: Labor Selection Problemmentioning

confidence: 99%

Improvement opportunities of a Simulation/Expert System Approach for Manufacturing System Sizing: A review and proposal

Imen¹,

Masmoudi²,

Elleuch³

et al. 2019

Adv. sci. technol. eng. syst. j.

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Manufacturing System (MS) sizing is a crucial task to complete in order to obtain the desired MS performance and efficiency. It involves selecting the required number of resources from each used type in a given planning horizon. In fact, different approaches coupling simulation/optimization tools have been developed to solve this issue and evaluate the MS performance. One of these approaches is the Simulation Expert System Approach (SESA). Unfortunately, the application domain of this approach is limited in sizing only the production resources (machines and labor) but neglects the material handling system (MHS) components. Moreover, omitting the transferring problem is not viable in the real world due to its importance in each shop floor. Thus, the aim of this paper is to describe the evolution of SESA, then, to check if the simulation optimization tools used in SESA are still relevant. This paper also investigates the importance of incorporating MHS in this approach and finally proposes some improvement opportunities for SESA including the tackling of the MHS fleet sizing problem. In fact, the wide literature review performed in this research indicates that SESA is still a pertinent approach but it must be improved. Therefore, it is expected that SESA improvement opportunities proposed in this work will greatly assist industrialists in enhancing the overall MS performance, providing a significant productivity increase and a minimization of the total production costs.

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A unique fuzzy multi-criteria decision making: computer simulation approach for productive operators’ assignment in cellular manufacturing systems with uncertainty and vagueness

Cited by 42 publications

References 24 publications

Production Performance Appraisal Rating for Reservoir Management Units Based on Fuzzy Clustering

Production Performance Appraisal Rating for Reservoir Management Units Based on Fuzzy Clustering

Risk Based Maintenance in the Hydroelectric Power Plants

Improvement opportunities of a Simulation/Expert System Approach for Manufacturing System Sizing: A review and proposal

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