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Articles

Logistics-aware manufacturing service collaboration optimisation towards industrial internet platform

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Pages 4007-4026 | Received 31 Jan 2018, Accepted 24 Oct 2018, Published online: 26 Nov 2018

References

  • Buckholtz, B., I. Ragai, and L. Wang. 2015. “Cloud Manufacturing: Current Trends and Future Implementations.” Journal of Manufacturing Science and Engineering 137 (4): 044001. doi: 10.1115/1.4030009
  • Cao, Y., S. Wang, L. Kang, and Y. Gao. 2015. “A TQCS-Based Service Selection and Scheduling Strategy in Cloud Manufacturing.” International Journal of Advanced Manufacturing Technology 82 (1–4): 1–17.
  • Chen, Y. 2017. “Integrated and Intelligent Manufacturing: Perspectives and Enablers.” Engineering 3 (5): 588–595. doi: 10.1016/J.ENG.2017.04.009
  • Chen, F., R. Dou, M. Li, and H. Wu. 2016. “A Flexible QoS-Aware Web Service Composition Method by Multi-Objective Optimization in Cloud Manufacturing.” Computers & Industrial Engineering 99: 423–431. doi: 10.1016/j.cie.2015.12.018
  • Colledani, M., and T. Tolio. 2008. “Integrated Analysis of Quality and Production Logistics Performance in Manufacturing Lines.” International Journal of Production Research 41 (2): 8368–8374.
  • Daskin, Anmer, and Sabre Kais. 2011. “Group Leaders Optimization Algorithm.” Molecular Physics 109 (5): 761–772. doi: 10.1080/00268976.2011.552444
  • Ding, K., P. Jiang, and M. Zheng. 2015. “Environmental and Economic Sustainability-Aware Resource Service Scheduling for Industrial Product Service Systems.” Journal of Intelligent Manufacturing 28: 1–14.
  • Gao, Robert, Lihui Wang, R. Teti, David Dornfeld, Soundar Kumara, M. Mori, and Moneer Helu. 2015. “Cloud-enabled Prognosis for Manufacturing.” CIRP Annals 64 (2): 749–772. doi: 10.1016/j.cirp.2015.05.011
  • Goudarzi, S., H. H. Wan, M. H. Anisi, A. Soleymani, M. Sookhak, M. K. Khan, A.-H. A. Hashim, et al. 2017. “ABC-PSO for Vertical Handover in Heterogeneous Wireless Networks.” Neurocomputing 256: 63–81. doi: 10.1016/j.neucom.2016.08.136
  • Jiang, J., Y. Feng, J. Zhao, and K. Li. 2017. “DataABC: A Fast ABC Based Energy-Efficient Live VM Consolidation Policy with Data-Intensive Energy Evaluation Model.” Future Generation Computer Systems 74: 132–141. doi: 10.1016/j.future.2016.05.013
  • Jin, H., X. Yao, and Y. Chen. 2015. “Correlation-aware QoS Modeling and Manufacturing Cloud Service Composition.” Journal of Intelligent Manufacturing 28: 1–14.
  • Karaboga, Dervis, and Bahriye Basturk. 2007. “A Powerful and Efficient Algorithm for Numerical Function Optimization: Artificial Bee Colony (ABC) Algorithm.” Journal of Global Optimization 39 (3): 459–471. doi: 10.1007/s10898-007-9149-x
  • Lai, K. H., and C. W. Y. Wong. 2012. “Green Logistics Management and Performance: Some Empirical Evidence From Chinese Manufacturing Exporters.” Omega 40 (3): 267–282. doi: 10.1016/j.omega.2011.07.002
  • Lartigau, J., X. Xu, L. Nie, and D. Zhan. 2015. “Cloud Manufacturing Service Composition Based on QoS with Geo-Perspective Transportation Using an Improved Artificial Bee Colony Optimisation Algorithm.” International Journal of Production Research 53 (14): 4380–4404. doi: 10.1080/00207543.2015.1005765
  • Lee, J., H. A. Kao, and S. Yang. 2014. “Service Innovation and Smart Analytics for Industry 4.0 and big Data Environment.” Procedia Cirp 16: 3–8. doi: 10.1016/j.procir.2014.02.001
  • Li, Y., X. Yao, and J. Zhou. 2016. “Multi-objective Optimization of Cloud Manufacturing Service Composition with Cloud-Entropy Enhanced Genetic Algorithm.” Journal of Mechanical Engineering 62: 277–290. doi: 10.5545/sv-jme.2016.3545
  • Li, F., L. Zhang, Y. Liu, Y. Laili, and F. Tao. 2017. “Ontological Knowledge Integration and Sharing for Collaborative Product Development.” International Journal of Computer Integrated Manufacturing (3): 1–14. doi: 10.1080/0951192X.2017.1379094
  • Liu, Z., C. Song, D. Chu, Z. Hou, and W. Peng. 2017. “An Approach for Multipath Cloud Manufacturing Services Dynamic Composition.” International Journal of Intelligent Systems 32 (4): 1–25. doi: 10.1002/int.21865
  • Liu, Y., X. Xu, L. Zhang, and F. Tao. 2016. “An Extensible Model for Multitask-Oriented Service Composition and Scheduling in Cloud Manufacturing.” Journal of Computing and Information Science in Engineering 16 (4): 1–11. doi: 10.1115/1.4034186
  • Moghaddam, M., and S. Y. Nof. 2018. “Collaborative Service-Component Integration in Cloud Manufacturing.” International Journal of Production Research 56 (1–2): 677–691. doi: 10.1080/00207543.2017.1374574
  • Naidu, K., H. Mokhlis, A. H. A. Bakar, and V. Terzija. 2017. “Performance Investigation of ABC Algorithm in Multi-Area Power System with Multiple Interconnected Generators.” Applied Soft Computing 57: 436–451. doi: 10.1016/j.asoc.2017.03.044
  • Shang, K. C., and P. B. Marlow. 2005. “Logistics Capability and Performance in Taiwan’s Major Manufacturing Firms.” Transportation Research Part E: Logistics and Transportation Review 41 (3): 217–234. doi: 10.1016/j.tre.2004.03.002
  • Tao, F., J. Cheng, and Q. Qi. 2018. “IIHub: An Industrial Internet-of-Things Hub Toward Smart Manufacturing Based on Cyber-Physical System.” IEEE Transactions on Industrial Informatics 14 (5): 2271–2280. doi: 10.1109/TII.2017.2759178
  • Tao, F., Y. Cheng, L. D. Xu, L. Zhang, and B. H. Li. 2014. “CCIOT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System.” IEEE Transactions on Industrial Informatics 10 (2): 1435–1442. doi: 10.1109/TII.2014.2306383
  • Tao, F., Y. Laili, L. Xu, and L. Zhang. 2013. “FC-PACO-RM: A Parallel Method for Service Composition Optimal-Selection in Cloud Manufacturing System.” IEEE Transactions on Industrial Informatics 9 (4): 2023–2033. doi: 10.1109/TII.2012.2232936
  • Tao, F., and Q. Qi. 2018. “New IT Driven Service-Oriented Smart Manufacturing: Framework and Characteristics.” IEEE Transactions on Systems Man & Cybernetics Systems PP (99): 1–11.
  • Tao, F., L. Zhang, K. Lu, and D. Zhao. 2012. “Research on Manufacturing Grid Resource Service Optimal-Selection and Composition Framework.” Enterprise Information Systems 6 (2): 237–264. doi: 10.1080/17517575.2010.540677
  • Tao, F., D. Zhao, Y. Hu, and Z. Zhou. 2010. “Correlation-aware Resource Service Composition and Optimal-Selection in Manufacturing Grid.” European Journal of Operational Research 201 (1): 129–143. doi: 10.1016/j.ejor.2009.02.025
  • Wang, L., X. V. Wang, L. Gao, and J. Váncza. 2014. “A Cloud-Based Approach for WEEE Remanufacturing.” CIRP Annals 63 (1): 409–412. doi: 10.1016/j.cirp.2014.03.114
  • Wang, Dandan, Yang Yang, and Zhenqiang Mi. 2015. “A genetic-based approach to web service composition in geo-distributed cloud environment.” Computers & Electrical Engineering 43: 129–141. doi: 10.1016/j.compeleceng.2014.10.008
  • Xiang, F., Y. Hu, Y. Yu, and H. Wu. 2014. “QoS and Energy Consumption Aware Service Composition and Optimal-Selection Based on Pareto Group Leader Algorithm in Cloud Manufacturing System.” Central European Journal of Operations Research 22 (4): 663–685. doi: 10.1007/s10100-013-0293-8
  • Xiang, F., G. Z. Jiang, L. L. Xu, and N. X. Wang. 2016. “The Case-Library Method for Service Composition and Optimal Selection of big Manufacturing Data in Cloud Manufacturing System.” The International Journal of Advanced Manufacturing Technology 84 (1–4): 59–70. doi: 10.1007/s00170-015-7813-8
  • Xu, X. 2012. “From Cloud Computing to Cloud Manufacturing.” Robotics and Computer-Integrated Manufacturing 28 (1): 75–86. doi: 10.1016/j.rcim.2011.07.002
  • Zhang, W., Y. Shi, M. Yang, X. Gu, R. Tang, and X. Pan. 2017a. “Ecosystem Evolution Mechanism of Manufacturing Service System Driven by Service Providers.” International Journal of Production Research 55 (12): 3542–3558. doi: 10.1080/00207543.2017.1305131
  • Zhang, W., Y. Yang, S. Zhang, D. Yu, and Y. Li. 2017b. “Correlation-aware Manufacturing Service Composition Model Using an Extended Flower Pollination Algorithm.” International Journal of Production Research 56 (14): 4676–4691. doi: 10.1080/00207543.2017.1402137
  • Zheng, H., Y. Feng, and J. Tan. 2017. “A Hybrid Energy-Aware Resource Allocation Approach in Cloud Manufacturing Environment.” IEEE Access 5: 12648–12656. doi: 10.1109/ACCESS.2017.2715829
  • Zhong, P. S., S. Q. Zhu, D. J. Huang, and H. L. Xin. 2014. “Automatic Manufacturing Cloud Service Composition Based on AI Plan.” Applied Mechanics and Materials (513–517): 990–993.
  • Zhou, J., and X. Yao. 2017a. “A Hybrid Artificial Bee Colony Algorithm for Optimal Selection of QoS-Based Cloud Manufacturing Service Composition.” The International Journal of Advanced Manufacturing Technology 88: 3371–3387. doi: 10.1007/s00170-016-9034-1
  • Zhou, J., and X. Yao. 2017b. “DE-caABC: Differential Evolution Enhanced Context-Aware Artificial Bee Colony Algorithm for Service Composition and Optimal Selection in Cloud Manufacturing.” The International Journal of Advanced Manufacturing Technology 90 (1–4): 1085–1103. doi: 10.1007/s00170-016-9455-x
  • Zhou, J., and X. Yao. 2017c. “A Hybrid Approach Combining Modified Artificial bee Colony and Cuckoo Search Algorithms for Multi-Objective Cloud Manufacturing Service Composition.” International Journal of Production Research 55 (16): 4765–4784. doi: 10.1080/00207543.2017.1292064

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