Skip to main content

Advertisement

Log in

Assessing sustainability benefits of cybermanufacturing systems

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

Abstract

Confronted with growing sustainability awareness, mounting environmental pressure, manufacturers are seriously striving to address sustainability-related issues without sacrificing customers’ needs and market competitiveness. A new manufacturing system called cybermanufacturing system (CMS) has great potential in addressing sustainability issues by handling manufacturing tasks differently from and better than traditional manufacturing systems. CMS is a vision for future manufacturing where physical components are fully integrated and seamlessly networked with computational processes, forming an on-demand, intelligent, and communicative manufacturing resource and capability repository with optimal, sustainability-oriented manufacturing solutions. The recent developments in the Internet of things, cloud computing, fog computing, service-oriented technologies, etc., all contributed to the development of CMS. In this new manufacturing paradigm, every manufacturing resource or capability is digitalized, registered, and networked to each other directly or through the Internet, thus enabling intelligent behaviors of manufacturing components and systems such as self-awareness, self-prediction, self-optimization, and self-configuration, among others. In this research, a comprehensive definition of CMS has been developed, a suggested architecture of CMS has been constructed, and important functions of CMS have been identified. Simulation models have been developed and used to investigate the sustainability benefits of CMS. The simulation results show promising sustainability benefits of CMS over traditional manufacturing systems.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

References

  1. Wang L, Törngren M, Onori M (2015) Current status and advancement of cyber-physical systems in manufacturing. J Manuf Syst 37(Part 2):517–527

    Article  Google Scholar 

  2. Aoki K, Staeblein T, Tomino T (2014) Monozukuri capability to address product variety: a comparison between Japanese and German automotive makers. Int J Prod Econ 147:373–384

    Article  Google Scholar 

  3. Mavrikios D, Papakostas N, Mourtzis D, Chryssolouris G (2013) On industrial learning and training for the factories of the future: a conceptual, cognitive and technology framework. J Intell Manuf:1–13

  4. Posada J, Toro C, Barandiaran I, Oyarzun D, Stricker D, De Amicis R, et al. (2015) Visual computing as a key enabling technology for industrie 4.0 and industrial internet. Computer Graphics and Applications, IEEE 35(2):26–40

    Article  Google Scholar 

  5. Browne J, Dubois D, Rathmill K, Sethi SP, Stecke KE (1984) Classification of flexible manufacturing systems. The FMS magazine 2(2): 114-117

  6. Yu C, Xu X, Lu Y (2015) Computer-integrated manufacturing, cyber-physical systems and cloud manufacturing—concepts and relationships. Manufacturing Letters 6:5–9

    Article  Google Scholar 

  7. Yusuf YY, Sarhadi M, Gunasekaran A (1999) Agile manufacturing: The drivers concepts and attributes. International Journal of production economics 62(1): 33-43

  8. Jiang P, Ding K, Leng J (2016) Towards a cyber-physical-social-connected and service-oriented manufacturing paradigm: social manufacturing. Manufacturing Letters 7:15–21

    Article  Google Scholar 

  9. He W, Xu L (2014) A state-of-the-art survey of cloud manufacturing. Int J Comput Integr Manuf 28(3):239–250

    Article  Google Scholar 

  10. Tao F, Zhang L, Venkatesh VC, Luo Y, Cheng Y (2011) Cloud manufacturing: a computing and service-oriented manufacturing model. Proc Inst Mech Eng B J Eng Manuf 225(10):1969–1976

    Article  Google Scholar 

  11. Wu D, Rosen DW, Wang L, Schaefer D (2015) Cloud-based design and manufacturing: a new paradigm in digital manufacturing and design innovation. Comput Aided Des 59:1–14

    Article  Google Scholar 

  12. Wu D, Terpenny J, Gentzsch W (2015) Economic benefit analysis of cloud-based design, engineering analysis, and manufacturing. J Manuf Sci Eng 137(4):040903

    Article  Google Scholar 

  13. Xu X (2012) From cloud computing to cloud manufacturing. Robot Comput Integr Manuf 28(1):75–86

    Article  Google Scholar 

  14. Huang B, Li C, Yin C, Zhao X, (2013) Cloud manufacturing service platform for small-and medium-sized enterprises. The International Journal of Advanced Manufacturing Technology 65(9-12): 1261-1272

  15. Herterich MM, Uebernickel F, Brenner W (2015) The impact of cyber-physical systems on industrial services in manufacturing. Procedia CIRP 30:323–328

    Article  Google Scholar 

  16. Lu Y, Cecil J (2015) An internet of things (IoT)-based collaborative framework for advanced manufacturing. The International Journal of Advanced Manufacturing Technology 1–12

  17. Yeo KS, Chian MC, Ng TCW (2014) Internet of things: trends, challenges and applications. In: Integrated Circuits (ISIC), 2014 14th International Symposium on (pp. 568–571) IEEE

  18. Zhong RY, Lan S, Xu C, Dai Q, Huang GQ (2015) Visualization of RFID-enabled shopfloor logistics Big Data in Cloud Manufacturing. The International Journal of Advanced Manufacturing Technology 1–12

  19. Lee J, Bagheri B, Kao HA (2015) A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters 3:18–23

    Article  Google Scholar 

  20. Despeisse M, Mbaye F, Ball PD, Levers A (2012) The emergence of sustainable manufacturing practices. Production Planning & Control 23(5):354–376

    Article  Google Scholar 

  21. Garetti M, Taisch M (2012) Sustainable manufacturing: trends and research challenges. Production Planning & Control 23(2–3):83–104

    Article  Google Scholar 

  22. Haapala KR, Zhao F, Camelio J, Sutherland JW, Skerlos SJ, Dornfeld DA, Rickli JL (2013) A review of engineering research in sustainable manufacturing. J Manuf Sci Eng 135(4):041013

    Article  Google Scholar 

  23. Joung CB, Carrell J, Sarkar P, Feng SC (2013) Categorization of indicators for sustainable manufacturing. Ecol Indic 24:148–157

    Article  Google Scholar 

  24. Moon YB (2007) Enterprise resource planning (ERP): a review of the literature. International Journal of Management and Enterprise Development 4(3):235–264

    Article  Google Scholar 

  25. Boulonne, A., Johansson, B., Skoogh, A., & Aufenanger, M. (2010). Simulation data architecture for sustainable development. In: Simulation Conference (WSC), Proceedings of the 2010 Winter (pp. 3435–3446) IEEE

  26. Heilala, J., Vatanen, S., Tonteri, H., Montonen, J., Lind, S., Johansson, B., & Stahre, J. (2008). Simulation-based sustainable manufacturing system design. In: Simulation Conference, 2008. WSC 2008. Winter (pp. 1922–1930) IEEE

  27. Pfeffer, J., Graube, M., Reipschlaeger, P., Arndt, S., Urbas, L., Dachselt, R., & Stelzer, R. (2015). Towards collaborative plant control using a distributed information and interaction space. In: Emerging Technologies & Factory Automation (ETFA), 2015 I.E. 20th Conference on (pp. 1–4) IEEE

  28. Yue X, Cai H, Yan H, Zou C, Zhou K (2015) Cloud-assisted industrial cyber-physical systems: an insight. Microprocess Microsyst 39(8):1262–1270

    Article  Google Scholar 

  29. Morgan J, O’Donnel GE (2015) Cyber physical process monitoring systems. Journal of Intelligent Manufacturing 1–12

  30. Kim J, Park K, Hwang Y, Park I (2010) Sustainable manufacturing: a case study of the forklift painting process. Int J Prod Res 48(10):3061–3078

    Article  MATH  Google Scholar 

  31. Klöpffer W (1997) Life cycle assessment. Environ Sci Pollut Res 4(4):223–228

    Article  Google Scholar 

  32. Bare J (2011) TRACI 2.0: the tool for the reduction and assessment of chemical and other environmental impacts 2.0. Clean Technologies and Environmental Policy 13(5): 687-696

  33. Lee JY, Kang HS, Do Noh S (2014) MAS 2: an integrated modeling and simulation-based life cycle evaluation approach for sustainable manufacturing. J Clean Prod 66:146–163

    Article  Google Scholar 

  34. Opschoor H, Reijnders L (1991) Towards sustainable development indicators. In search of indicators of sustainable development Springer, Netherlands, pp 7--27

  35. Seppälä J, Hämäläinen RP (2001) On the meaning of the distance-to-target weighting method and normalisation in life cycle impact assessment. The International Journal of Life Cycle Assessment, 6(4):211--218

  36. Yuan C, Zhai Q, Dornfeld D (2012) A three dimensional system approach for environmentally sustainable manufacturing. CIRP Annals-Manufacturing Technology 61(1): 39-42

  37. Wilson J, Tyedmers P, Pelot R (2007) Contrasting and comparing sustainable development indicator metrics. Ecological indicators 7(2): 299-314

  38. Baines TS, Harrison DK (1999) An opportunity for system dynamics in manufacturing system modelling. Production Planning & Control 10(6):542–552

    Article  Google Scholar 

  39. Jahangirian M, Eldabi T, Naseer A, Stergioulas LK, Young T (2010) Simulation in manufacturing and business: a review. Eur J Oper Res 203(1):1–13

    Article  Google Scholar 

  40. Monostori L, Váncza J, Kumara SR (2006) Agent-based systems for manufacturing. CIRP Annals-Manufacturing Technology 55(2):697–720

    Article  Google Scholar 

  41. Mani M, Johansson B, Lyons KW, Sriram RD, Ameta G (2013) Simulation and analysis for sustainable product development. The International Journal of Life Cycle Assessment 18(5):1129–1136

    Article  Google Scholar 

  42. Widok AH, Schiemann L, Jahr P, Wohlgemuth V (2012) Achieving sustainability through a combination of LCA and DES integrated in a simulation software for production processes. In: Proceedings of the Winter Simulation Conference (p. 155) Winter Simulation Conference

  43. Pegden, C. D. (2008). Introduction to SIMIO. In: Simulation Conference, 2008. WSC 2008. Winter (pp. 229–235) IEEE

  44. Song, Z. and Moon, Y.B. (2016) Performance Analysis of CyberManufacturing Systems: A Simulation Study. In: Proceedings of the IFIP 13th International Conference on Product Lifecycle Management, Columbia, SC, Jul. 11–13 (in press).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Young Moon.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Song, Z., Moon, Y. Assessing sustainability benefits of cybermanufacturing systems. Int J Adv Manuf Technol 90, 1365–1382 (2017). https://doi.org/10.1007/s00170-016-9428-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-016-9428-0

Keywords