FC-PACO-RM: A Parallel Method for Service Composition Optimal-Selection in Cloud Manufacturing System
By Fei Tao, Yuanjun Laili, Lida Xu, Lin Zhang. IEEE Transactions on Industrial Informatics, 2013
364 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management of Technology and Innovation
View Paper: https://www.semanticscholar.org/paper/9f9f9db950db8f2aa7253fd22a305a7e9e1bcb78
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In Industrial and Manufacturing Engineering
In Management of Technology and Innovation
Citations in the corpus
- An Integrated System for Regional Environmental Monitoring and Management Based on Internet of Things (2014, background): “…on IoT has been introduced for improving the efficiency of environmental monitoring and management tasks, and the results from case study demonstrate that the IIS based on IoT is valuable and efficient for complex tasks in environmental monitoring and management in big data and cloud services.”
- IoT-based real-time production logistics synchronization system under smart cloud manufacturing (2015, background): “Tao et al. [24, 25] not only give a new parallel intelligent algorithm to solve the service combination optimization problem but also outline a systematic service framework integrating both cloud computing and IoT to realized the effective sharing, cost calculation, and on-demand allocation of CM…”
- Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing (2017, background): “0, Industrial Internet, Made in China 2025, service oriented manufacturing [1], [2] and cloud manufacturing [3], [4]) to prepare for the next”
- Advanced manufacturing systems: socialization characteristics and trends (2015, background): “…transaction, resource service scheduling based on utility evaluation (Cheng et al. 2013), service composition and its optimal-selection algorithms (Tao et al. 2013, 2014), IoT based CMfg resource perception and connection (Tao et al. 2014), service composition network in CMfg system or…”
- Big Data in product lifecycle management (2015, methodology): “After servitization of manufacturing was devoted to advanced manufacturing systemwhich established manymanufacturing service systems like cloud manufacturing (CMfg) service system, a lot of key techniques have been studied, including supply chain management, resource and service optimal allocation a”
- Industry 4.0: state of the art and future trends (2018, background): “The key technologies include RFID and WSN, and other relevant technologies such as barcodes, smart phones, cloud computing, location-based service, SOA, near field communication and social networks (Uckelmann, Harrison, and Michahelles 2011; Li, Xu, et al. 2012; Tao et al. 2013; Wang et al. 2014; Xu”