A Review of Cloud Manufacturing: Issues and Opportunities

M.N. Abd Rahman, B. Medjahed, E. Orady, M.R. Muhamad, R. Abdullah, A.S.M. Jaya

Abstract


Cloud Manufacturing (CM) is the latest manufacturing paradigm that enables manufacturing to be looked upon as a service industry. The aim is to offer manufacturing as a service so that an individual or organization is willing to manufacture products and utilize this service without having to make capital investment. However, industry adoption of CM paradigm is still limited.  This paper compared the current adoption of CM by the industry with the ideal CM environment.  The gaps between the two were identified and related research topics were reviewed.  This paper also outlined research areas to be pursued to facilitate CM adoption by the manufacturing industry.  This will also improve manufacturing resource utilization efficiencies not only within an organization but globally.  At the end, the cost benefits will be passed down to end customer.

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References


Y. Liu and X. Xu, “Industry 4.0 and Cloud Manufacturing: A Comparative Analysis,” Journal of Manufacturing Science and Engineering vol. 139, no. 3, pp. 034701-034708, 2016.

A. N. Toosi, R. N. Calheiros and R. Buyya. “Interconnected Cloud Computing Environments: Challenges, Taxonomy, and Survey,” Journal ACM Computing Surveys, vol. 47, no. 1,pp. 1-47, 2014.

J.D. Goldhar and M. Jelinok, “Manufacturing as a Service Business: CIM in the 21st Century,” Computers in Industry, vol. 14, no. 1–3, pp. 225-245, 1990.

S. Rajagopalan, J.M. Pinilla, P. Losleben, Q. Tian and S.K. Gupta, “Integrated design and rapid manufacturing over the Internet,” in Proceedings of 1998 ASME Design Engineering Technical Conference, Atlanta, Georgia, 1998, pp. 1-11.

J.W. Erkes, K.B. Kenny, J.W. Lewis, B.D. Sarachan, M.W. Sobolewski and R.N. Sum Jr., “Implementing shared manufacturing services on the World-Wide Web,” Communications of the ACM, vol. 39, no. 2, pp. 34-45, 1996.

T.L. Friedman. (2005). It’s a flat world, after all [Online]. Available: http://www.nytimes.com/2005/04/03/magazine/03DOMINANCE.htm

J. Zhou and X. Yao, “Advanced manufacturing technology and new industrial revolution,” Computer Integrated Manufacturing Systems, CIMS, vol. 21, no. 8, pp. 1963-1978, 2015.

D. Wu, M. J. Greer, D.W. Rosen and D. Schaefer, “Cloud manufacturing: Strategic vision and state-of-the-art,” Journal of Manufacturing Systems, vol. 32, pp. 564-579, 2013.

H. A. ElMaraghy, “ Flexible and reconfigurable manufacturing systems paradigms,” International Journal of Flexible Manufacturing Systems, vol. 17, pp. 261-276, 2006.

D. Wu, D. W. Rosen, L. Wang and D. Schaefer, “Cloud-Based Manufacturing: Old Wine in New Bottles?,” Procedia CIRP, vol. 17, pp. 94-99, 2014.

L. Yao, Q.Z. Sheng and S. Dustdar, “Web-based Management of the Internet of Things”, IEEE Internet Computing, vol. 19, no. 4, pp. 60-67, 2015.

X. Sheng and K. Wang, “Coordination and optimization of large equipment complete service in cloud based manufacturing,” International Journal of Intelligent Information Technologies, vol. 13, no. 4, pp. 56-71, 2017.

Y. Lu, X. Xu, and J. Xu, “Development of a hybrid manufacturing cloud,” Journal of Manufacturing System, vol. 33, no. 4, pp.551–566, 2014.

N. Liu, X. Li, and W. Shen, “Multi-granularity resource virtualization and sharing strategies in cloud manufacturing,” Journal of Network and Computer Applications, vol. 46, pp. 72–82, 2014.

X. Wei and H. Liu, “A Cloud Manufacturing Resource 15 Model Based on Ant Colony Optimization Algorithm,” International Journal of Grid Distribution Computing, vol. 8, no. 1, pp. 55-66, 2015.

T. Chen and Y.C. Wang, “Estimating simulation workload in cloud manufacturing using a classifying artificial neural network ensemble approach,” Robotics and Computer-Integrated Manufacturing, vol. 38, pp. 42–51, 2015.

K. Stouffer, J. Falco and K. Scarfone. (2015). Guide to industrial control systems (ICS) security [Online]. Available: http://dx.doi.org/10.6028/NIST.SP.800-82r2

C.J. Huang and F.T. Tsai, “Research & development of cloud manufacturing process system,” in Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology (ICASI 2017), Sapporo, 2017, pp. 633-636.

C. Xie, H. Cai, L. Xu, L. Jiang and F. Bu, “Linked Semantic Model for Information Resource Service towards Cloud Manufacturing,” IEEE Transactions on Industrial Informatics, vol. 13, no. 6, pp. 3338-3349, 2017.

J. Zhou and X. Yao, “Multi-population parallel self-adaptive differential artificial bee colony algorithm with application in large-scale service composition for cloud manufacturing,” Applied Soft Computing Journal, vol. 56, pp. 379-397, 2017.

Y. Feng and B. Huang, “A hierarchical and configurable reputation evaluation model for cloud manufacturing services based on collaborative filtering,” International Journal of Advanced Manufacturing Technology, vol. 94, no. 9-12, pp. 3327-3343, 2017.

X. Ye, “Identify the semantic meaning of service rules with natural language processing,” in 17th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), Guangzhou, 2017, pp. 63-68.

W.J. Feng, C. Yin, X.B. Li, and L. Li, “A classification matching method for manufacturing resource in cloud manufacturing environment,” International Journal of Modeling, Simulation, and Scientific Computing, vol. 8, no. 2, pp. 1750057-1-1750057-11, 2017.

K. Foit, W. Banaś, A. Gwiazda, and P. Hryniewicz, “The comparison of the use of holonic and agent-based methods in modelling of manufacturing systems,” IOP Conference Series: Materials Science and Engineering, vol. 227, no. 1, pp. 12-46, 2017.

Y. Liu, X. Xu, L. Zhang, L. Wang, and R.Y. Zhong, “Workload-based multi-task scheduling in cloud manufacturing,” Robotics and Computer-Integrated Manufacturing, vol. 45, pp. 3-20, 2017.

T. Chen and M.C. Chiu, “Development of a cloud-based factory simulation system for enabling ubiquitous factory simulation,” Robotics and Computer-Integrated Manufacturing, vol. 45, pp. 133-143, 2017.

X.V. Wang and X.W. Xu, ICMS: A cloud-based manufacturing system. London: Springer, 2013.

X.V. Wang and L. Wang, “A cloud-based production system for information and service integration: an internet of things case study on waste electronics,” Enterprise Information Systems, vol. 11, no. 7, pp. 952-968, 2017.

Y. Lu, B. Chen, J. Sun, and X. Tan, “Research on 3D reconstruction method of human-computer interaction scene based on support vector machine in cloud manufacturing environment,” Multimedia Tools and Applications, vol. 76, no. 16, pp. 17145-17162, 2017.

Y. Zhang, G. Zhang, Y. Liu, and D. Hu, “Research on services encapsulation and virtualization access model of machine for cloud manufacturing,” Journal of Intelligent Manufacturing, vol. 28, no. 5, pp. 1109-1123, 2017.

J. Wang, L. Zhang, L. Duan, and R.X. Gao, “ A new paradigm of cloud-based predictive maintenance for intelligent manufacturing,” Journal of Intelligent Manufacturing, vol. 28, no. 5, pp. 1125-1137, 2017.

T. Chen, Y.C. Wang, and Z. Lin, “Predictive distant operation and virtual control of computer numerical control machines”, Journal of Intelligent Manufacturing, vol. 28, no. 5, pp. 1061-1077, 2017.

T. Chen and Y.C. Lin, “A digital equipment identifier system,” Journal of Intelligent Manufacturing, vol. 28, no. 5, pp. 1159-1169, 2017.

W. Gentzsch and B. Yenier. (2013). The UberCloud HPC Experiment: Compendium of Case Studies [Online]. Available: httsps://www.theuber cloud.co m/uber cloud- compendium- 20 13/

C. Yang, W. Shen, T. Lin, and X. Wang, “IoT-enabled dynamic service selection across multiple manufacturing clouds,” Manufacturing Letters, vol. 7, pp. 22-25, 2016.

L. Wang, “Machine availability monitoring and machining process planning towards Cloud manufacturing,” CIRP Journal of Manufacturing Science and Technology, vol. 6, no. 4, pp. 263–273, 2013.

P. Zheng, Y. Lu, X. Xu, and S.Q. Xie, “A system framework for OKP product planning in a cloud-based design environment,” Robotics and Computer-Integrated Manufacturing, vol. 45, pp. 73-85. 2017.

X. Li, C. Yin and F. Liu, “A trust estimation method of machine tool resources in the cloud environment,” Journal of Statistical Computation and Simulation, vol. 87, no. 13, pp. 2572-2580, 2017.

L. Zhou, L. Zhang, C. Zhao, Y. Laili, and L. Xu, “Diverse task scheduling for individualized requirements in cloud manufacturing,” Enterprise Information Systems, vol. 12, no. 3, pp. 1-19, 2018.

J. Zhou and X. Yao, “A hybrid approach combining modified artificial bee colony and cuckoo search algorithms for multi-objective cloud manufacturing service composition,” International Journal of Production Research, vol. 55, no. 16, pp. 4765-4784, 2017.

J. Zhou and X. Yao, “Hybrid teaching–learning-based optimization of correlation-aware service composition in cloud manufacturing,” International Journal of Advanced Manufacturing Technology, vol. 91, no. 9-12, pp. 3515-3533, 2017.

Y. Hu, X. Chang, Y. Wang, Z. Wang, C. Shi, and L. Wu, “Cloud manufacturing resources fuzzy classification based on genetic simulated annealing algorithm,” Materials and Manufacturing Processes, vol. 32, no. 10, pp. 1109-1115, 2017.

W. Li, C. Zhu, X. Wei, J.J.P.C. Rodrigues, and K. Wang, “Characteristics analysis and optimization design of entities collaboration for cloud manufacturing”, Concurrency Computation: Practice and Experience, vol. 29, no. 14, pp. 1-14, 2017.

H. Zheng, Y. Feng, and J. Tan, “A Hybrid Energy-aware Resource Allocation Approach in Cloud Manufacturing Environment,” IEEE Access, vol. 5, pp. 12648-12656, 2017.

F. Tao, J. Cheng, Y. Cheng, S. Gu, T. Zheng, and H. Yang, “SDMSim: A manufacturing service supply–demand matching simulator under cloud environment,” Robotics and Computer-Integrated Manufacturing, vol. 45, pp. 34-46, 2017.

Y.K. Lin and C.S. Chong, “Fast GA-based project scheduling for computing resources allocation in a cloud manufacturing system,” Journal of Intelligent Manufacturing, vol. 28, no. 5, pp. 1189-1201, 2017.

T. Chen and C.W. Lin, “Estimating the simulation workload for factory simulation as a cloud service,” Journal of Intelligent Manufacturing, vol. 28, no. 5, pp. 1139-1157, 2017.

Y. Koren, The Global Manufacturing Revolution: Product-Process Business Integration and Reconfigurable Manufacturing. New Jersey: Wiley, 2010.




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