Evaluation of Cloud 3D Printing Order Task Execution Based on the AHP-TOPSIS Optimal Set Algorithm and the Baldwin Effect

Focusing on service control factors, rapid changes in manufacturing environments, the difficulty of resource allocation evaluation, resource optimization for 3D printing services (3DPSs) in cloud manufacturing environments, and so on, an indicator evaluation framework is proposed for the cloud 3D pr...

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Bibliographic Details
Published in:Micromachines (Basel) 2021-07, Vol.12 (7), p.801
Main Authors: Zhang, Chenglei, Zhang, Cunshan, Zhuang, Jiaojiao, Han, Hu, Yuan, Bo, Liu, Jiajia, Yang, Kang, Zhuang, Shenle, Li, Ronglan
Format: Article
Language:English
Subjects:
3-D printers
3D printing device resources
Algorithms
Analytic hierarchy process
baldwin effect
Cloud computing
cloud manufacturing (CMfg)
Data envelopment analysis
Decision making
Distributed processing
HPSO
Linear programming
Mathematical analysis
Mathematics
Methods
multi-objective optimization
Neural networks
Optimization
Optimization algorithms
Pareto optimum
Principal components analysis
Random variables
Resource allocation
Scheduling
Three dimensional printing
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Summary:Focusing on service control factors, rapid changes in manufacturing environments, the difficulty of resource allocation evaluation, resource optimization for 3D printing services (3DPSs) in cloud manufacturing environments, and so on, an indicator evaluation framework is proposed for the cloud 3D printing (C3DP) order task execution process based on a Pareto optimal set algorithm that is optimized and evaluated for remotely distributed 3D printing equipment resources. Combined with the multi-objective method of data normalization, an optimization model for C3DP order execution based on the Pareto optimal set algorithm is constructed with these agents’ dynamic autonomy and distributed processing. This model can perform functions such as automatic matching and optimization of candidate services, and it is dynamic and reliable in the C3DP order task execution process based on the Pareto optimal set algorithm. Finally, a case study is designed to test the applicability and effectiveness of the C3DP order task execution process based on the analytic hierarchy process and technique for order of preference by similarity to ideal solution (AHP-TOPSIS) optimal set algorithm and the Baldwin effect.
ISSN:2072-666X
2072-666X
DOI:10.3390/mi12070801