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Using Internet of Things to Improve Eco-efficiency in Manufacturing: A Review on Available Knowledge and a Framework for IoT Adoption

Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 397)

Abstract

Green manufacturing and eco-efficiency are among the highest priorities of decision makers in today’s manufacturing scenario. Reducing the energy consumption of production processes can significantly improve the environmental performance of the human activity. This paper aims at investigating, according to currently available technologies and to their short-term feasible evolution paths, how the Internet of Things (IoT) paradigm could actually be implemented to increase efficiency in energy consumption, and reducing energy consumption cost.

Keywords

Internet of Things eco-efficiency framework 

References

  1. 1.
    EIA: Annual Energy Review (2010)Google Scholar
  2. 2.
    Weinert, N., Chiotellis, S., Seliger, G.: Methodology for planning and operating energy-efficient production systems. CIRP Annals - Manufacturing Technology 60, 41–44 (2011)CrossRefGoogle Scholar
  3. 3.
    Muller, D.C.A., Marechal, F.M.A., Wolewinski, T., Roux, P.J.: An energy management method for the food industry. Applied Thermal Engineering 27, 2677–2686 (2007)CrossRefGoogle Scholar
  4. 4.
    Michaloski, J.L., Shao, G., Arinez, J., Lyons, K., Leong, S., Riddick, F.: Analysis of Sustainable Manufacturing Using Simulation for Integration of Production and Building Service. Compressed Air., 93–101 (2011)Google Scholar
  5. 5.
    Reich-Weiser, C., Vijayaraghavan, A., Dornfeld, D.: Appropriate use of Green Manufacturing Frameworks. Laboratory for Manufacturing and Sustainability (2010)Google Scholar
  6. 6.
    Gutowski, T., Dahmus, J., Thiriez, A.: Electrical Energy Requirements for Manufacturing Processes. 13th CIRP International Conference on Life Cycle Engineering (2006)Google Scholar
  7. 7.
    Park, C., Kwon, K., Kim, W., Min, B., Park, S., Sung, I., Yoon, Y.S., Lee, K., Lee, J., Seok, J.: Energy Consumption Reduction Technology in Manufacturing – A Selective Review of Policies, Standards, and Research. Precision Engineering and Manufacturing 10, 151–173 (2009)CrossRefGoogle Scholar
  8. 8.
    Vijayaraghavan, A., Dornfeld, D.: Automated energy monitoring of machine tools. CIRP Annals - Manufacturing Technology 59, 21–24 (2010)CrossRefGoogle Scholar
  9. 9.
    Karnouskos, S., Colombo, A.W., Martinez Lastra, J.L., Popescu, C.: Towards the energy efficient future factory. In: 2009 7th IEEE International Conference on Industrial Informatics, pp. 367–371 (2009)Google Scholar
  10. 10.
    Bunse, K., Vodicka, M., Schönsleben, P., Brülhart, M., Ernst, F.O.: Integrating energy efficiency performance in production management – gap analysis between industrial needs and scientific literature. Journal of Cleaner Production 19, 667–679 (2011)CrossRefGoogle Scholar
  11. 11.
    Ikeyama, T., Watanabe, H., Isobe, S., Takahashi, H.: An Approach to Optimize Energy Use in Food Plants. In: SICE Annual Conference, pp. 1574–1579. Waseda University, Tokyo (2011)Google Scholar
  12. 12.
    Haller, S., Karnouskos, S., Schroth, C.: The Internet of Things in an Enterprise Context. In: Domingue, J., Fensel, D., Traverso, P. (eds.) FIS 2008. LNCS, vol. 5468, pp. 14–28. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  13. 13.
    Atzori, L., Iera, A., Morabito, G.: The Internet of Things: A survey. Computer Networks 54, 2787–2805 (2010)CrossRefzbMATHGoogle Scholar
  14. 14.
    Subramaniam, S.K., Husin, S.H., Singh, R.S.S., Hamidon, A.H.: Production Monitoring System for Monitoring the Industrial Shop Floor Performance. Int. J. of Systems Applications, Engineering & Development 3, 28–35 (2009)Google Scholar
  15. 15.
    Meyer, G.G., Wortmann, J.C., Szirbik, N.B.: Production monitoring and control with intelligent products. International Journal of Production Research 49, 1303–1317 (2011)CrossRefGoogle Scholar
  16. 16.
    Poon, T.C., Choy, K.L., Chan, F.T.S., Lau, H.C.W.: A real-time production operations decision support system for solving stochastic production material demand problems. Expert Systems with Applications 38, 4829–4838 (2011)CrossRefGoogle Scholar
  17. 17.
    Meyer, G.G., Främling, K., Holmström, J.: Intelligent Products: A survey. Computers in Industry 60, 137–148 (2009)CrossRefGoogle Scholar
  18. 18.
    Zhang, Y., Qu, T., Ho, O., Huang, G.Q.: Real-time work-in-progress management for smart object-enabled ubiquitous shop-floor environment. International Journal of Computer Integrated Manufacturing 24, 431–445 (2011)CrossRefGoogle Scholar
  19. 19.
    Zhou, S., Ling, W., Peng, Z.: An RFID-based remote monitoring system for enterprise internal production management. The International Journal of Advanced Manufacturing Technology 33, 837–844 (2007)CrossRefGoogle Scholar
  20. 20.
    Huang, G.Q., Zhang, Y.F., Chen, X., Newman, S.T.: RFID-enabled real-time wireless manufacturing for adaptive assembly planning and control. Journal of Intelligent Manufacturing 19, 701–713 (2008)CrossRefGoogle Scholar
  21. 21.
    Chen, R.-S., Tu, M. (Arthur): Development of an agent-based system for manufacturing control and coordination with ontology and RFID technology. Expert Systems with Applications 36, 7581–7593 (2009)CrossRefGoogle Scholar
  22. 22.
    Hameed, B., Khan, I., Durr, F., Rothermel, K.: An RFID based consistency management framework for production monitoring in a smart real-time factory. In: 2010 Internet of Things (IOT), pp. 1–8 (2010)Google Scholar
  23. 23.
    Wang, B., Cao, Z., Yan, Y., Liu, W., Wang, Z.: Fundamental technology for RFID-based supervisory control of shop floor production system. The International Journal of Advanced Manufacturing Technology 57, 1123–1141 (2011)CrossRefGoogle Scholar
  24. 24.
  25. 25.
    ANSI/ ISA: Enterprise-Control System Integration Part 3: Activity Models of Manufacturing Operations Management (2005)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  1. 1.Department of Management, Economics and Industrial EngineeringPolitecnico di MilanoItaly

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