2020
DOI: 10.18280/jesa.530406
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Multi-agent Modeling of the Collaborative Operation of the Producer Service Supply Chain under the Intelligent Manufacturing Clusters in the Yangtze River Delta

Abstract: With the proliferation and aggregation of advanced production technology and information technology, several regional intelligent manufacturing clusters have taken shape in China. The development of intelligent manufacturing, which is highly technical, innovative, and informatized, needs the support of more professional producer services. Considering the broad scope of producer service supply-demand in regional intelligent manufacturing, this paper takes the intelligent manufacturing cluster in the Yangtze Riv… Show more

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Cited by 6 publications
(4 citation statements)
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“…From such five aspects as regional economic development, technological innovation, industrial structure, economic openness, and eco-environmental governance, some scholars constructed an evaluation index system for the comprehensive performance of regional industrial T&U and carried out comprehensive evaluation of the T&U performance in each year [18][19][20].…”
Section: Performance Evaluation Of the Tandu Of Traditionalmentioning
confidence: 99%
“…From such five aspects as regional economic development, technological innovation, industrial structure, economic openness, and eco-environmental governance, some scholars constructed an evaluation index system for the comprehensive performance of regional industrial T&U and carried out comprehensive evaluation of the T&U performance in each year [18][19][20].…”
Section: Performance Evaluation Of the Tandu Of Traditionalmentioning
confidence: 99%
“…In [15], the authors proposed a supply chain collaborative innovation performance evaluation system based on the product life cycle theory; they took an auto parts company as an example and used the fuzzy comprehensive evaluation method to verify the effectiveness and feasibility of the evaluation system. Through establishing a supply chain collaborative innovation efficiency evaluation model based on data envelopment analysis, Liu et al [16] took a food company as an example, in which the supply chain collaborative innovation efficiency is divided into three aspects: technical efficiency, scale efficiency, and management efficiency. Katsaliaki et al [17] discussed the challenges and opportunities of implementing Industry 4.0 technologies in supply chain management.…”
Section: Industry Chain Optimizationmentioning
confidence: 99%
“…e relevant scholars have comprehensively considered factors such as market demand and technical level, cultivated advanced production factors, trained competitive production and management subjects, and improved the demand quality, enhanced technical capabilities for research and development (R&D) and technical diffusion, leveraged organization-to-organization (O2O) platforms, used mathematical models to select the paths of elimination, maintenance, and transformation, synthetized multiple paths, such as compulsory policies, technical promotion, industrial cluster development, performance appraisal, and regional economic cooperation, and pursued value creation, brand building, servitization, platformization, and greenization [5][6][7][8][9][10].…”
Section: Literature Reviewmentioning
confidence: 99%