Skip to main content

Advertisement

SpringerLink
Log in

Cloud manufacturing based service encapsulation and optimal configuration method for injection molding machine

  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

Abstract

This paper aims to introduce the concept of cloud manufacturing (CMfg) in the injection molding industry. The CMfg platform for injection molding enterprises is built to improve the sharing, circulation and integration of the injection molding resources. With the implementation of the Internet of Things technologies in the traditional injection molding shop, the real-time manufacturing information of resources can be accurately captured and the entire molding process becomes more visible and traceable. The virtual machining service of the injection molding machine is encapsulated as a cloud service that published into the platform for on-demand use. When task orders are published, through the presented task-driven proactive service discovery method, competent services can be quickly found. The custom-oriented evaluation method based on technique for order preference by similarity to ideal solution is designed to help the demanders to find satisfying services according to their customized criteria. Since the task orders arrive dynamically, after these orders are assigned to the specified machine, a real-time order dispatching mechanism is developed to provide an optimal scheduling plan for the cloud service. Finally, the proposed framework and methods are illustrated by a numerical simulation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Adamson, G., Wang, L. H., Holm, M., & Moore, P. (2015). Cloud manufacturing—A critical review of recent development and future trends. International Journal of Computer Integrated Manufacturing, 3052, 1–34.

    Article  Google Scholar 

  • Ameri, F., & Patil, L. (2012). Digital manufacturing market: A semantic web-based framework for agile supply chain deployment. Journal of Intelligent Manufacturing, 23(5), 1817–1832.

    Article  Google Scholar 

  • Ameri, F., Urbanovsky, C., & Mcarthur, C. (2012). A systematic approach to developing ontologies for manufacturing service modeling. In 7th international conference on formal ontology in information systems (FOIS 2012). Graz, Austria.

  • Barenji, A. V., Barenji, R. V., & Roudi, D. (2016). A dynamic multi-agent-based scheduling approach for SMEs. The International Journal of Advanced Manufacturing Technology,. doi:10.1007/s00170-016-9299-4.

    Article  Google Scholar 

  • Barenji, R. V., Barenji, A. V., & Hashemipour, M. (2014). A multi-agent RFID-enabled distributed control system for a flexible manufacturing shop. The International Journal of Advanced Manufacturing Technology, 71(9), 1773–1791.

    Article  Google Scholar 

  • Buckholtz, B., Ragai, I., & Wang, L. H. (2015). Cloud manufacturing: Current trends and future implementations. Journal of Manufacturing Science and Engineering, 137(4), 40902-1–40902-9.

    Article  Google Scholar 

  • Cao, Y., Wang, S. L., Kang, L., & Gao, Y. (2016). A TQCS-based service selection and scheduling strategy in cloud manufacturing. International Journal of Advanced Manufacturing Technology, 82(1–4), 235–251.

    Article  Google Scholar 

  • Chen, F. Z., Dou, R. L., Li, M. Q., & Wu, H. (2016). A flexible QoS-aware web service composition method by multi-objective optimization in cloud manufacturing. Computers and Industrial Engineering, 99, 423–431.

    Article  Google Scholar 

  • Chhim, P., Chinnam, B. R., & Sadawi, N. (2017). Product design and manufacturing process based ontology for manufacturing knowledge reuse. Journal of Intelligent Manufacturing,. doi:10.1007/s10845-016-1290-2.

    Article  Google Scholar 

  • Choi, C. R., & Jeong, H. Y. (2014). A broker-based quality evaluation system for service selection according to the QoS preferences of users. Information Sciences, 277, 553–566.

    Article  Google Scholar 

  • Chongwatpol, J., & Sharda, R. (2013). RFID-enabled track and traceability in job-shop scheduling environment. European Journal of Operational Research, 227(3), 453–463.

    Article  Google Scholar 

  • de Oliveira, V. C., & Silva, J. R. (2015). A service-oriented framework to the design of information system service. Journal of Service Science Research, 7(2), 55–96.

    Article  Google Scholar 

  • Duron, C., Ould Louly, M. A., & Proth, J. M. (2009). The one machine scheduling problem: Insertion of a job under the real-time constraint. European Journal of Operational Research, 199(3), 695–701.

    Article  Google Scholar 

  • Dymova, L., Sevastjanov, P., & Tikhonenko, A. (2013). An approach to generalization of fuzzy TOPSIS method. Information Sciences, 138, 149–162.

    Article  Google Scholar 

  • Farsi, J. Y., & Toghraee, M. T. (2014). Identification the main challenges of small and medium sized enterprises in exploiting of innovative opportunities (Case study: Iran SMEs). Journal of Global Entrepreneurship Research, 4(1), 4.

    Article  Google Scholar 

  • Haddad, J. El, Manouvrier, M., & Rukoz, M. (2010). TQoS: Transactional and QoS-aware selection algorithm for automatic web service composition. IEEE Transactions on Services Computing, 3(1), 73–85.

    Article  Google Scholar 

  • Hall, N. G., & Potts, C. N. (2004). Rescheduling for new orders. Operations Research, 52(3), 440–453.

    Article  Google Scholar 

  • Haupt, R. (1989). A survey of priority rule-based scheduling. OR Spektrum, 11(1), 3–16.

    Article  Google Scholar 

  • He, W., & Da Xu, L. (2015). A state-of-the-art survey of cloud manufacturing. International Journal of Computer Integrated Manufacturing, 28(3), 239–250.

    Article  Google Scholar 

  • Huang, B. Q., Li, C. H., Yin, C., & Zhao, X. P. (2013). Cloud manufacturing service platform for small- and medium-sized enterprises. International Journal of Advanced Manufacturing Technology, 65(9–12), 1261–1272.

    Article  Google Scholar 

  • Khalfallah, M., Figay, N., Da Silva, C. F., & Ghodous, P. (2014). A cloud-based platform to ensure interoperability in aerospace industry. Journal of Intelligent Manufacturing, 27(1), 119–129.

    Article  Google Scholar 

  • Kubler, S., Holmström, J., Främling, K., & Turkama, P. (2016). Technological theory of cloud manufacturing. In Service orientation in holonic and multi-agent manufacturing (Vol. 640, pp. 267–276). Springer.

  • Lartigau, J., Nie, L. S., Xu, X. F., Zhan, D. C., & Mou, T. (2012). Scheduling methodology for production services in cloud manufacturing. In Proceedings—2012 International joint conference on service sciences, service innovation in emerging economy: Cross-disciplinary and cross-cultural perspective, IJCSS 2012 (pp. 34–39).

  • Lartigau, J., Xu, X. F., Nie, L. S., & Zhan, D. C. (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.

    Article  Google Scholar 

  • Li, B. H., Zhang, L., Wang, S. L., Tao, F., Cao, J. W., Jiang, X. D., et al. (2010). Cloud manufacturing: A new service-oriented networked manufacturing model. Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 16(2007), 1–7.

    Google Scholar 

  • Li, W. X., Zhu, C. S., Yang, L. T., Shu, L., Ngai, E. C. H., & Ma, Y. J. (2015). Subtask scheduling for distributed robots in cloud manufacturing. IEEE Systems Journal, PP(99), 1–10.

    Google Scholar 

  • Luo, H., Fang, J., & Huang, G. Q. (2015). Real-time scheduling for hybrid flowshop in ubiquitous manufacturing environment. Computers and Industrial Engineering, 84, 12–23.

    Article  Google Scholar 

  • Luo, Y. L., Zhang, L., Tao, F., Ren, L., Liu, Y. K., & Zhang, Z. Q. (2013). A modeling and description method of multidimensional information for manufacturing capability in cloud manufacturing system. International Journal of Advanced Manufacturing Technology, 69(5–8), 961–975.

    Article  Google Scholar 

  • Mai, J. G., Zhang, L., Tao, F., & Ren, L. (2016). Customized production based on distributed 3D printing services in cloud manufacturing. International Journal of Advanced Manufacturing Technology, 84(1–4), 71–83.

    Article  Google Scholar 

  • Modekurthy, V. P., Liu, X. F., Fletcher, K. K., & Leu, M. C. (2015). Design and implementation of a broker for cloud additive manufacturing services. Journal of Manufacturing Science and Engineering, 137(4), 40904-1–40904-10.

    Article  Google Scholar 

  • Oner, M., Ustundag, A., & Budak, A. (2016). An RFID-based tracking system for denim production processes. The International Journal of Advanced Manufacturing Technology,. doi:10.1007/s00170-016-9385-7.

    Article  Google Scholar 

  • Paolucci, M., Kawamura, T., Payne, T. R., & Sycara, K. (2002). Semantic matching of web services capabilities. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2342, pp. 333–347).

  • Puttonen, J., Lobov, A., Soto, M. A. C., & Lastra, J. L. M. (2016). Cloud computing as a facilitator for web service composition in factory automation. Journal of Intelligent Manufacturing,. doi:10.1007/s10845-016-1277-z.

    Article  Google Scholar 

  • Quintanilla, F. G., Cardin, O., Anton, A. L., & Castagna, P. (2016). Engineering applications of arti fi cial intelligence a modeling framework for manufacturing services in service-oriented holonic manufacturing systems. Engineering Applications of Artificial Intelligence, 55, 26–36.

    Article  Google Scholar 

  • Rahmani, D., & Heydari, M. (2014). Robust and stable flow shop scheduling with unexpected arrivals of new jobs and uncertain processing times. Journal of Manufacturing Systems, 33(1), 84–92.

    Article  Google Scholar 

  • Seghir, F., & Khababa, A. (2016). A hybrid approach using genetic and fruit fly optimization algorithms for QoS-aware cloud service composition. Journal of Intelligent Manufacturing,. doi:10.1007/s10845-016-1215-0.

    Article  Google Scholar 

  • Škulj, G., Vrabič, R., Butala, P., & Sluga, A. (2015). Decentralised network architecture for cloud manufacturing. International Journal of Computer Integrated Manufacturing,. doi:10.1080/0951192X.2015.1066861.

    Article  Google Scholar 

  • Sokolov, B., Benyamna, K., & Korolev, O. (2016). RFID technology for adaptation of complex systems scheduling and execution control models. In Automation control theory perspectives in intelligent systems (pp. 433–442).

  • Srinivasan, N., Paolucci, M., & Sycara, K. (2004). An efficient algorithm for OWL-S based semantic search in UDDI. Semantic Web Services and Web Process Composition, 3387, 96–110.

    Article  Google Scholar 

  • Tao, F., Laili, Y. J., Da Xu, L., & Zhang, L. (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.

    Article  Google Scholar 

  • Tapoglou, N., & Mehnen, J. (2016). Cloud-based job dispatching using multi-criteria decision making. Procedia CIRP, 41, 661–666.

    Article  Google Scholar 

  • Valilai, O. F., & Houshmand, M. (2014). A platform for optimisation in distributed manufacturing enterprises based on cloud manufacturing paradigm. International Journal of Computer Integrated Manufacturing, 27(11), 1031–1054.

    Article  Google Scholar 

  • Wang, J. W., Liu, D., Ip, W. H., Zhang, W. J., & Deters, R. (2014). Integration of system-dynamics, in system information modeling. IEEE Transactions on Industrial Informatics, 10(2), 847–853.

    Article  Google Scholar 

  • Wang, J. W., Muddada, R. R., Wang, H. F., Ding, J. L., Lin, Y. Z., Liu, C. L., et al. (2016a). Toward a resilient holistic supply chain network system: Concept, review and future direction. IEEE Systems Journal, 10(2), 410–421.

    Article  Google Scholar 

  • Wang, J. W., Wang, H. F., Furuta, K., & Ip, W. H. (2016b). On domain modelling of the service system with its application to enterprise information systems. Enterprise Information Systems, 10(1), 1–16.

    Article  Google Scholar 

  • Welbourne, E., Battle, L., Cole, G., Gould, K., Rector, K., Raymer, S., et al. (2009). Building the internet of things using RFID: The RFID ecosystem experience. IEEE Internet Computing, 13(3), 48–55.

    Article  Google Scholar 

  • Wilde, S. (2010). Small and medium-sized enterprises. In Customer knowledge management (pp. 11–18). Springer.

  • Wu, D. Z., Greer, M. J., Rosen, D. W., & Schaefer, D. (2013). Cloud manufacturing: Strategic vision and state-of-the-art. Journal of Manufacturing Systems, 32(4), 564–579.

    Article  Google Scholar 

  • Xu, W. J., Tian, S. S., Liu, Q., Xie, Y. Q., De Zhou, Z., & Pham, D. T. (2016). An improved discrete bees algorithm for correlation-aware service aggregation optimization in cloud manufacturing. International Journal of Advanced Manufacturing Technology, 84(1–4), 17–28.

    Article  Google Scholar 

  • Xu, W. J., Yu, J. J., De Zhou, Z., Xie, Y. Q., Pham, D. T., & Ji, C. Q. (2015). Dynamic modeling of manufacturing equipment capability using condition information in cloud manufacturing. Journal of Manufacturing Science and Engineering, 137(4), 1–36.

    Article  Google Scholar 

  • Xu, X. (2012). From cloud computing to cloud manufacturing. Robotics and Computer-Integrated Manufacturing, 28(1), 75–86.

    Article  Google Scholar 

  • Zhang, Y. F., Liu, S. C., Liu, Y., & Li, R. (2016a). Smart box-enabled product-service system for cloud logistics. International Journal of Production Research, 54(22), 6693–6706. doi:10.1080/00207543.2015.1134840.

    Article  Google Scholar 

  • Zhang, Y. F., Qian, C., Lv, J. X., & Liu, Y. (2016). Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor. IEEE Transactions on Industrial Informatics,. doi:10.1109/TII.2016.2618892.

    Article  Google Scholar 

  • Zhang, Y. F., Ren, S., Liu, Y., & Si, S. B. (2016c). A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products. Journal of Cleaner Production, 142, 626–641.

    Article  Google Scholar 

  • Zhang, Y. F., Zhang, G., Liu, Y., & Hu, D. (2015). Research on services encapsulation and virtualization access model of machine for cloud manufacturing. Journal of Intelligent Manufacturing,. doi:10.1007/s10845-015-1064-2.

    Article  Google Scholar 

  • Zhang, Y. F., Zhang, G., Wang, J. Q., Sun, S. D., Si, S., & Yang, T. (2015b). Real-time information capturing and integration framework of the internet of manufacturing things. International Journal of Computer Integrated Manufacturing, 28(8), 811–822.

    Article  Google Scholar 

  • Zissis, D., Lekkas, D., Azariadis, P., Papanikos, P., & Xidias, E. (2016). Collaborative CAD/CAE as a cloud service. International Journal of Systems Science: Operations and Logistics. doi:10.1080/23302674.2016.1186237.

    Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge financial supports of National Science Foundation of China (51675441) and the 111 Project Grant (B13044).

Author information

Authors and Affiliations

  1. Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi, People’s Republic of China

    Yingfeng Zhang, Dong Xi & Zhe Wang

  2. Research and Development Institute in Shenzhen, Northwestern Polytechnical University, Shenzhen, 518057, People’s Republic of China

    Yingfeng Zhang

  3. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, People’s Republic of China

    Haidong Yang

  4. School of Mechanical Engineering, Guangdong University of Technology, Guangzhou, People’s Republic of China

    Haidong Yang

  5. School of Automation Science and Electrical Engineering, Beihang University, Beijing, People’s Republic of China

    Fei Tao

Authors
  1. Yingfeng Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dong Xi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Haidong Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Fei Tao
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Zhe Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yingfeng Zhang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, Y., Xi, D., Yang, H. et al. Cloud manufacturing based service encapsulation and optimal configuration method for injection molding machine. J Intell Manuf 30, 2681–2699 (2019). https://doi.org/10.1007/s10845-017-1322-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10845-017-1322-6

Keywords

Search

Navigation