Skip to main content

Advertisement

Log in

Manufacturing services collaboration: connotation, framework, key technologies, and research issues

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Manufacturing resources sharing and collaboration has become the inevitable trend to optimize the operation of manufacturing industry. The development of various advanced manufacturing systems (AMSs) and new-generated information technologies (New ITs) prompt the emergence of various industrial Internet platforms. In this context, it provides a brand new opportunity for enterprises to conduct manufacturing resources sharing and collaboration in the form of manufacturing services, namely, manufacturing services collaboration (MS-collaboration). However, the relevant research on MS-collaboration under the environment of industrial Internet platforms is still insufficient. Therefore, in this paper, the evolution from manufacturing collaboration to MS-collaboration toward industrial Internet platforms is analyzed at first, and the derived environment characteristics and challenges of MS-collaboration are discussed accordingly. After exploring the connotation of MS-collaboration, its implementation framework and corresponding enabling technologies are proposed. A 3D Printing case is presented to illustrate the application of the proposed methods. Finally, in order to promote the application of an industrial Internet platform, stimulate more enterprises to participate in, and conduct MS-collaboration in it, several future research issues are pointed out.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Tao F, Cheng Y, Zhang L, Nee AYC (2017a) Advanced manufacturing systems: socialization characteristics and trends. J Intell Manuf 28(5):1079–1094. https://doi.org/10.1007/s10845-015-1042-8

    Article  Google Scholar 

  2. Zhang YP, Cheng Y, Wang XV, Zhong RY, Zhang YF, Tao F (2019) Data-driven smart production line and its common factors. Int J Adv Manuf Technol 103(1–4):1211–1223. https://doi.org/10.1007/s00170-019-03469-9

    Article  Google Scholar 

  3. Hu SJ (2013) Evolving paradigms of manufacturing: from mass production to mass customization and personalization. Procedia CIRP 7:3–8. https://doi.org/10.1016/j.procir.2013.05.002

    Article  Google Scholar 

  4. Camarinha-Matos LM, Afsarmanesh H, Galeano N, Molina A (2009a) Collaborative networked organizations–concepts and practice in manufacturing enterprises. Comput Ind Eng 57(1):46–60. https://doi.org/10.1016/j.cie.2008.11.024

    Article  Google Scholar 

  5. Yoon C, Lee K, Yoon B, Toulan O (2017) Typology and success factors of collaboration for sustainable growth in the IT service industry. Sustainability 9(11):1–20. https://doi.org/10.3390/su9112017

    Article  Google Scholar 

  6. Mun J, Shin M, Lee K, Jung M (2009) Manufacturing enterprise collaboration based on a goal-oriented fuzzy trust evaluation model in a virtual enterprise. Comput Ind Eng 56(3):888–901. https://doi.org/10.1016/j.cie.2008.09.022

    Article  Google Scholar 

  7. Peng C, Meng YM (2016) Empirical study of manufacturing enterprise collaboration network: formation and characteristics. Robot Comput Integr Manuf 42:49–62. https://doi.org/10.1016/j.rcim.2016.05.005

    Article  Google Scholar 

  8. Xu X (2012) From cloud computing to cloud manufacturing. Robot Comput Integr Manuf 28(1):75–86. https://doi.org/10.1016/j.rcim.2011.07.002

    Article  Google Scholar 

  9. Sanchez LM, Nagi R (2001) A review of agile manufacturing systems. Int J Prod Res 39(16):3561–3600. https://doi.org/10.1080/00207540110068790

    Article  MATH  Google Scholar 

  10. Enrique E, Fernando G (2012) Towards an integrated crowdsourcing definition. J Inf Sci 38(2):189–200. https://doi.org/10.1177/0165551512437638

    Article  Google Scholar 

  11. Camarinha-Matos LM (2009b) Collaborative networked organizations: status and trends in manufacturing. Annu Rev Control 33(2):199–208. https://doi.org/10.1016/j.arcontrol.2009.05.006

    Article  Google Scholar 

  12. Oh J, Lee S, Yang J (2015) A collaboration model for new product development through the integration of PLM and SCM in the electronics industry. Comput Ind 73:82–92. https://doi.org/10.1016/j.compind.2015.08.003

    Article  Google Scholar 

  13. Cao M, Zhang QY (2011) Supply chain collaboration: impact on collaborative advantage and firm performance. J Oper Manag 29(3):163–180. https://doi.org/10.1016/j.jom.2010.12.008

    Article  Google Scholar 

  14. Dong HZ, Liu DX, Zhao YW, Chen Y (2005) A novel approach of networked manufacturing collaboration: fractal web-based extended enterprise. Int J Adv Manuf Technol 26(11–12):1436–1442. https://doi.org/10.1007/s00170-004-2125-4

    Article  Google Scholar 

  15. Tao F, Hu YF, Zhou ZD (2008) Study on manufacturing grid and its executing platform. Int J Manuf Technol Manag 14(1):35–51. https://doi.org/10.1504/IJMTM.2008.017484

    Article  Google Scholar 

  16. Huang BQ, Li CH, Yin C, Zhao XP (2013) Cloud manufacturing service platform for small-and medium-sized enterprises. Int J Adv Manuf Technol 65(9–12):1261–1272. https://doi.org/10.1007/s00170-012-4255-4

    Article  Google Scholar 

  17. Wan JF, Tang SL, Shu ZG, Li D, Wang SY, Imran M, Vasilakos A (2016) Software-defined industrial internet of things in the context of industry 4.0. IEEE Sensors J 16(20):7373–7380. https://doi.org/10.1109/JSEN.2016.2565621

    Article  Google Scholar 

  18. Li P, Cheng Y, Tao F (2018) A manufacturing services collaboration framework toward industrial internet platforms. 2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR): 166-171. https://doi.org/10.1109/IISR.2018.8535991

  19. Wang YL, Zhang YP, Tao F, Chen TY, Cheng Y, Yang SK (2019) Logistics-aware manufacturing service collaboration optimisation towards industrial internet platform. Int J Prod Res 57(12):4007–4026. https://doi.org/10.1080/00207543.2018.1543967

    Article  Google Scholar 

  20. Meng Y, Liu JB, Zheng LW (2017) QueTy: a cloud service collaboration framework based on time marginal utility. 2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA): 206-212. https://doi.org/10.1109/ICCCBDA.2017.7951912

  21. Xue X, Wang SF, Lu BY (2016) Manufacturing service composition method based on networked collaboration mode. J Netw Comput Appl 59:28–38. https://doi.org/10.1016/j.jnca.2015.05.003

    Article  Google Scholar 

  22. Khosravifar B, Bentahar J, Mizouni R, Otrok H, Alishahi M, Thiran P (2013) Agent-based game-theoretic model for collaborative web services: decision making analysis. Expert Syst Appl 40(8):3207–3219. https://doi.org/10.1016/j.eswa.2012.12.034

    Article  Google Scholar 

  23. Zheng ZB, Ma H, Lyu MR, King I (2013) Collaborative web service QoS prediction via neighborhood integrated matrix factorization. IEEE Trans Serv Comput 6(3):289–299. https://doi.org/10.1109/TSC.2011.59

    Article  Google Scholar 

  24. Schubert P, Glitsch JH (2015) Adding structure to enterprise collaboration systems: identification of use cases and collaboration scenarios. Procedia Computer Science 64:161–169. https://doi.org/10.1016/j.procs.2015.08.477

    Article  Google Scholar 

  25. Renna P, Argoneto P (2011) Capacity sharing in a network of independent factories: a cooperative game theory approach. Robot Comput Integr Manuf 27(2):405–417. https://doi.org/10.1016/j.rcim.2010.08.009

    Article  MATH  Google Scholar 

  26. Bascur OA, Hertler C (2009) Collaboration at the Enterprise using real time data analysis: from data to action. IFAC Proceedings Volumes 42(23):314–319. https://doi.org/10.3182/20091014-3-CL-4011.00057

    Article  Google Scholar 

  27. Nie HC, Lu XD, Duan HL (2014) Supporting BPMN choreography with system integration artefacts for enterprise process collaboration. Enterp Inf Syst 8(4):512–529. https://doi.org/10.1080/17517575.2014.880131

    Article  Google Scholar 

  28. Brink T (2017) SME routes for innovation collaboration with larger enterprises. Ind Mark Manag 64:122–134. https://doi.org/10.1016/j.indmarman.2017.01.010

    Article  Google Scholar 

  29. Palander T (2015) Applying dynamic multiple-objective optimization in inter-enterprise collaboration to improve the efficiency of energy wood transportation and storage. Scand J For Res 30(4):346–356. https://doi.org/10.1080/02827581.2014.1001780

    Article  Google Scholar 

  30. Zhang WY, Zhang S, Qi F, Cai M (2014) Self-organized P2P approach to manufacturing service discovery for cross-enterprise collaboration. IEEE Trans Syst Man Cybern Syst 44(3):263–276. https://doi.org/10.1109/TSMCC.2013.2265234

    Article  Google Scholar 

  31. Marques AF, Alves AC, Sousa JP (2013) An approach for integrated design of flexible production systems. Procedia CIRP 7:586–591. https://doi.org/10.1016/j.procir.2013.06.037

    Article  Google Scholar 

  32. Sun YT, Cao C (2015) Intra-and inter-regional research collaboration across organizational boundaries: evolving patterns in China. Technol Forecast Soc Chang 96:215–231. https://doi.org/10.1016/j.techfore.2015.03.013

    Article  Google Scholar 

  33. Tao F, Qi QL (2018a) New IT driven service-oriented smart manufacturing: framework and characteristics. IEEE Trans Syst Man Cybern Syst 49(1):81–91. https://doi.org/10.1109/TSMC.2017.2723764

    Article  Google Scholar 

  34. Cheng Y, Tao F, Xu LD, Zhao DM (2016) Advanced manufacturing systems: supply–demand matching of manufacturing resource based on complex networks and internet of things. Enterp Inf Syst 12(7):780–797. https://doi.org/10.1080/17517575.2016.1183263

    Article  Google Scholar 

  35. Xu LD (2011) Enterprise systems: state-of-the-art and future trends. IEEE Trans Ind Inf 7(4):630–640. https://doi.org/10.1109/TII.2011.2167156

    Article  Google Scholar 

  36. Tao F, Cheng Y, Xu LD, Zhang L, Li BH (2014) CCIoT-CMfg: cloud computing and internet of things based cloud manufacturing service system. IEEE Transactions on Industrial Informatics 10(2):1435–1442. https://doi.org/10.1109/TII.2014.2306383

    Article  Google Scholar 

  37. Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54(15):2787–2805. https://doi.org/10.1016/j.comnet.2010.05.010

    Article  MATH  Google Scholar 

  38. Gao R, Wang L, Teti R, Dornfeld D, Kumara S, Mori M, Helu M (2015) Cloud-enabled prognosis for manufacturing. CIRP Ann 64(2):749–772. https://doi.org/10.1016/j.cirp.2015.05.011

    Article  Google Scholar 

  39. Montarnal A, Wang TX, Truptil S, Bénaben F, Lauras M, Lamothe J (2015) A social platform for knowledge gathering and exploitation, towards the deduction of inter-enterprise collaborations. Procedia Comput Sci 60:438–447. https://doi.org/10.1016/j.procs.2015.08.162

    Article  Google Scholar 

  40. Wang JL, Xu CQ, Zhang J, Bao JS, Zhong R (2020) A collaborative architecture of the industrial internet platform for manufacturing systems. Robot Comput Integr Manuf 61:101854. https://doi.org/10.1016/j.rcim.2019.101854

    Article  Google Scholar 

  41. Menon K, Karkkainen H, Wuest T, Gupta JP (2019) Industrial internet platforms: a conceptual evaluation from a product lifecycle management perspective. Proc Inst Mech Eng B J Eng Manuf 233(5):1390–1401. https://doi.org/10.1177/0954405418760651

    Article  Google Scholar 

  42. Lu SCY, Elmaraghy W, Schuh G, Wilhelmd R (2007) Scientific foundation of collaborative engineering. CIRP Ann 56(2):605–634. https://doi.org/10.1016/j.cirp.2007.10.010

    Article  Google Scholar 

  43. Touzi J, Benaben F, Pingaud H, Lorre JP (2009) A model-driven approach for collaborative service-oriented architecture design. Int J Prod Econ 121(1):5–20. https://doi.org/10.1016/j.ijpe.2008.09.019

    Article  Google Scholar 

  44. Lu YK, Liu CY, Ju BC (2012) Cloud manufacturing collaboration: an initial exploration. 2012 Third World Congress on Software Engineering: 163–166. https://doi.org/10.1109/WCSE.2012.39

  45. Kang ZL, Wang HB, Hung PCK (2007) WS-CDL+ for web service collaboration. Inf Syst Front 9(4):375–389. https://doi.org/10.1007/s10796-007-9041-8

    Article  Google Scholar 

  46. Kavantzas N, Burdett D, Ritzinger G, Fletcher T, Lafon Y, Barreto C (2005) Web Services Choreography Description Language Version 1.0. https://www.w3.org/

  47. Wang SG, Zhou A, Yang MZ, Sun L, Hsu CH, Yang FC (2020) Service composition in cyber-physical-social systems. IEEE Trans Emerg Top Comput 8(1):82–91. https://doi.org/10.1109/TETC.2017.2675479

    Article  Google Scholar 

  48. Jula A, Sundararajan E, Othman Z (2014) Cloud computing service composition: a systematic literature review. Expert Syst Appl 41(8):3809–3824. https://doi.org/10.1016/j.eswa.2013.12.017

    Article  Google Scholar 

  49. Guo H, Tao F, Zhang L, Su SY, Si N (2010) Correlation-aware web services composition and QoS computation model in virtual enterprise. Int J Adv Manuf Technol 51(5–8):817–827. https://doi.org/10.1007/s00170-010-2648-9

    Article  Google Scholar 

  50. Tao F, Zhang L, Nee AYC (2011a) A review of the application of grid technology in manufacturing. Int J Prod Res 49(13):4119–4155. https://doi.org/10.1080/00207541003801234

    Article  Google Scholar 

  51. Tao F, Zhang L, Venkatesh VC, Luo Y, Cheng Y (2011b) Cloud manufacturing: a computing and service-oriented manufacturing model. Proc Inst Mech Eng B J Eng Manuf 225(B10):1969–1976. https://doi.org/10.1177/0954405411405575

    Article  Google Scholar 

  52. Tao F, Cheng JF, Qi QL, Zhang M, Zhang H, Sui FY (2018b) Digital twin-driven product design, manufacturing and service with big data. Int J Adv Manuf Technol 94(9–12):3563–3576. https://doi.org/10.1007/s00170-017-0233-1

    Article  Google Scholar 

  53. Cheng Y, Zhang YP, Ji P, Xu WJ, Zhou ZD, Tao F (2018) Cyber-physical integration for moving digital factories forward towards smart manufacturing: a survey. Int J Adv Manuf Technol 97(1–4):1209–1122. https://doi.org/10.1007/s00170-018-2001-2

    Article  Google Scholar 

  54. Tao F, Cheng JF, Cheng Y, Gu SX, Zheng TY, Yang H (2017b) SDMSim: a manufacturing service supply–demand matching simulator under cloud environment. Robot Comput Integr Manuf 45:34–46. https://doi.org/10.1016/j.rcim.2016.07.001

    Article  Google Scholar 

Download references

Funding

This work was partly supported by the National Natural Science Foundation of China (NSFC) under Grants 51875030 and 51705014 and the Industrial Internet Innovation and Development Project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fei Tao.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, P., Cheng, Y., Song, W. et al. Manufacturing services collaboration: connotation, framework, key technologies, and research issues. Int J Adv Manuf Technol 110, 2573–2589 (2020). https://doi.org/10.1007/s00170-020-06042-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-020-06042-x

Keywords

Navigation