A Supplier Selection Method Based on AHP

Huang, Dexin

doi:10.1088/1742-6596/1176/4/042055

“…The assessment methods can be generally classified into three categories: subjective assessment methods (such as AHP [29] and fuzzy comprehensive evaluation [30]), objective assessment methods (such as entropy-weighing method [31] and TOPSIS method [32]) and combination weighting approach. The subjective evaluation method was based on the subjective judgment of the decision makers, while the assessment results might be inconsistent due to different decision makers.…”

Section: Manufacturing Capability Correlation and Evaluation Methodsmentioning

confidence: 99%

“…In order to simplify the calculation of the evaluation process and reflect the subjective information of decision makers, this paper uses the AHP method [29] to determine the subjective weight coefficient of each sustainable manufacturing capability indicator.…”

Section: Dynamic Comprehensive Assessment Of Icrs Sustainable Manufacturing Capabilitymentioning

confidence: 99%

Dynamic assessment of sustainable manufacturing capability based on correlation relationship for industrial cloud robotics

Tian

¹

,

Xie

²

,

Xu

³

et al. 2021

Int J Adv Manuf Technol

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The industrial cloud robotics (ICRs) integrates distributed industrial robot resources in various places to support complex task processing for multi-resource service requirements, and manufacturing capability assessment is the key link in determining the optimal service composition to realize the value-added of ICRs resources. However, the traditional evaluation method ignores the positive and negative cooperative effects of the manufacturing capability correlation among the robot individuals on the overall manufacturing capability of the ICRs composition. In addition, the problems of excessive resource consumption and serious environmental pollution in the manufacturing industry are becoming increasingly serious. The paper proposes a dynamic assessment method of sustainable manufacturing capability for ICRs based on the correlation relationship to solve above problems. Firstly, an extensible multi-dimensional indicator system of sustainable manufacturing capability is constructed. Then, multiple composition correlation relationships among ICRs are analyzed to establish the correlation assessment model. Furthermore, a set of dynamic evaluation methods is proposed, in which the evaluation indicators raw data is processed based on the service correlation model and the traditional network analytic network process method is improved based on the data correlation model. Finally, a case study is implemented to show the reasonability and effectiveness of the proposed method in assessment of sustainable manufacturing capability for ICRs.

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Digital twin-driven energy-efficient assessment service

Xu

¹

,

Ji

²

,

Yan-ping

³

et al. 2022

Digital Twin Driven Service

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Dynamic Assessment of Sustainable Manufacturing Capability Based on Correlation Relationship for Industrial Cloud Robotics

Tian

¹

,

Xie

²

,

Xu

³

et al. 2021

Preprint

0

View full text Add to dashboard Cite

The industrial cloud robotics (ICRs) integrates distributed industrial robot resources in various places to support complex task processing for multi-resource service requirements, and manufacturing capability assessment is the key link in determining the optimal service composition to realize the value-added of ICRs resources. However, the traditional evaluation method ignores the positive and negative cooperative effects of the manufacturing capability correlation among the robot individuals on the overall manufacturing capability of the ICRs composition. In addition, the problems of excessive resource consumption and serious environmental pollution in the manufacturing industry are becoming increasingly serious. The paper proposes a dynamic assessment method of sustainable manufacturing capability for ICRs based on the correlation relationship to solve above problems. Firstly, an extensible multi-dimensional indicator system of sustainable manufacturing capability is constructed. Then, multiple composition correlation relationships among ICRs are analyzed to establish the correlation assessment model. Furthermore, a set of dynamic evaluation methods is proposed, in which the evaluation indicators raw data is processed based on the service correlation model and the traditional network analytic network process method is improved based on the data correlation model. Finally, a case study is implemented to show the reasonability and effectiveness of the proposed method in assessment of sustainable manufacturing capability for ICRs.

show abstract

A Supplier Selection Method Based on AHP

Cited by 3 publications

References 0 publications

Dynamic assessment of sustainable manufacturing capability based on correlation relationship for industrial cloud robotics

Dynamic assessment of sustainable manufacturing capability based on correlation relationship for industrial cloud robotics

Digital twin-driven energy-efficient assessment service

Dynamic Assessment of Sustainable Manufacturing Capability Based on Correlation Relationship for Industrial Cloud Robotics

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