Multi-phase matching mechanism for stable and optimal resource allocation in cloud manufacturing platforms Using IF-VIKOR method and deferred acceptance algorithm

Delaram, Jalal; Houshmand, Mahmoud; Ashtiani, Farid; Valilai, Omid Fatahi

doi:10.1080/17509653.2021.1982423

Cited by 7 publications

(3 citation statements)

References 59 publications

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“…For example, in the evaluation of information on C1, supplier A1 compared with A3, 0.597 > 0.502 and 0.234 < 0.269, so it meets the delineation criteria of strong consensus set in Eq. (18). Similarly, this calculate the remaining data and the results are shown in Table 12.…”

Section: A a Case Analysismentioning

confidence: 89%

“…W. Shi et al [17] proposed an inter-firm cooperative scheduling strategy for manufacturing resources by using the mixed set programming method. J. Delaram et al [18] adopted the fuzzy VIKOR method to rate the demanders according to three indicators: quality, time and sustainability. The demand side is screened, and finally the cluster is assigned to the manufacturer using the Delayed Acceptance (DA) algorithm.…”

Section: A Functions and Application Areas Of The Cloud Manufacturing...mentioning

confidence: 99%

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An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform

Pang,

Shi,

Dai

2024

IEEE Access

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Supply-demand matching degree evaluation is an effective way to reduce the transaction risk of manufacturing supply-demand subjects. Cloud manufacturing provides a platform for supply-demand entities through the network. Based on the characteristics of cloud manufacturing, this paper proposes an intelligent evaluation method of supply-demand matching degree based on ELECTRE III and VIKOR. Firstly, the demand side uploads a bill of material on the cloud manufacturing platform, and the supplier provides a supply plan. The demand side forms an evaluation team to evaluate the quality of the supplied product. Secondly, the weight of the evaluators is calculated in cloud manufacturing platform based on the similarity measurement method. Then, the cloud manufacturing platform carries out the weighted aggregation of evaluation information and uses the ELECTRE III method to build the weak advantage relationship among indicators. Finally, the cloud manufacturing platform performs a VIKOR compromise calculation and selects the optimal supply-demand matching degree. At the end of the paper, an example is taken to evaluate the matching degree of supply-demand of robot machined parts, to demonstrate the practicability of the new method. Based on Canny algorithm, a robot action stability test platform is built to verify the calculation results of the new method.INDEX TERMS Canny algorithm, cloud manufacturing platform, ELECTRE III, supply-demand matching degree evaluation, VIKOR.

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Section: A a Case Analysismentioning

confidence: 89%

Section: A Functions and Application Areas Of The Cloud Manufacturing...mentioning

confidence: 99%

An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform

Pang,

Shi,

Dai

2024

IEEE Access

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show abstract

“…In contrast, the proposed consensus model is more comprehensive than the existing methods because it adjusts minority opinions and manages non-cooperative behavior. Particularly, the consensus method to adjust the weight of non-cooperative behavior can reflect the degree of noncooperation of the team in more detail [44][45][46]. In all, many existing methods are compared synthetically, and the proposed methods have the following two advantages:…”

Section: Comparative Analysismentioning

confidence: 99%

A Large-Scale Group Decision-Making Approach to Assess Water Resource Sustainability with Double-Level Linguistic Preference Relation

Yao

Zhou

Xiao

2023

Water

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With the rapid development of science and technology and the continuous progress of society, water resource sustainability has attracted much attention. The assessment process of water resource sustainability has become a hot topic. Because professional models cannot ensure the accuracy of evaluation results, expert judgment techniques are used to perform the assessment process. Meanwhile, to eliminate the biases and consider people’s cognitive processes in complex decision making, this study utilizes a large group of experts to evaluate the sustainability of water resources, which is called a large-scale group water resource sustainability assessment (LGWRSA). This study proposes the double-level linguistic preference relation (DLLPR) to enable experts to present more reasonable and intuitive linguistic opinions. Based on the DLLPR, this study presents a clustering method, a weighting method, and a comprehensive adjustment factor determination method. To prevent minority opinions and non-cooperative behaviors from interfering with the decision-making process and to make the decision-making process develop in an accurate and objective direction, a consensus model is developed to modify minority opinions and suggestions and manage non-cooperative behaviors. After a sufficient number of experts reach a consensus through the method proposed in this article, a more accurate evaluation result can be obtained. Finally, an actual LGWRSA problem is established to derive water resource sustainability expectations for four provinces, which validates the effectiveness of the proposed method. A comparative analysis is performed to illustrate the benefits of these methods and present their shortcomings.

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A Multi-criteria Group Decision Making Based on Possibility Degree Matrix and $$\mathbb {ZPDHL}$$-VIKOR Method

et al. 2023

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Multi-phase matching mechanism for stable and optimal resource allocation in cloud manufacturing platforms Using IF-VIKOR method and deferred acceptance algorithm

Cited by 7 publications

References 59 publications

An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform

An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform

A Large-Scale Group Decision-Making Approach to Assess Water Resource Sustainability with Double-Level Linguistic Preference Relation

A Multi-criteria Group Decision Making Based on Possibility Degree Matrix and $$\mathbb {ZPDHL}$$-VIKOR Method

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