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SMT-May2018

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72 SMT007 MAGAZINE I MAY 2018 oped based on actual energy consumption data and resulting temperature/humidity readings on the floor. Only then could the full benefits of the IIoT energy be realized through energy consumption shaping and allowing for auton- omous on/off/standby mode (i.e., "factory on demand") approaches as mentioned earlier. The complete solution will eventually be tied directly to the production forecast/control system to permit for autonomous energy control of the production facility. Results Since the deployment of the IIoT energy solu- tion, net savings in energy consumption rang- ing from 10-20% have been realized across several of the factory installations. In order of magnitude of savings (from highest to lowest), the following resulted in the largest energy consumption reduction (Table 1). Conclusions Industry 4.0 represents be next phase of the industrial revolution where data is used to create a production environment with systems and machines that are capable of autono- mously exchanging information, triggering actions and controlling each other indepen- dently. This will require a wholescale change in how the production floor is managed and how machines are interconnected. This paper presented one aspect of the Industry 4.0 jour- ney by demonstrating how a factory outfit- ted with IIoT energy sensors and controllers can deliver significant reductions in energy consumption. The use of data analytics to both monitor, analyze and control the temper- ature/humidity in the factory, based on actual production equipment energy demand require- ments, enabled a more intelligent supply chain on the electronics manufacturing production floor. SMT007 Acknowledgements The authors would like to gratefully acknowl- edge the contributions of the following partic- ipants in providing valuable inputs to this paper: • Celestica Thailand: Chinnawut Panyapatchoto, Chookiat Jiraratmetagon, Ditsaphol Jarusirilarp. • Celestica Toronto: Wes Karpiak, James Field. References 1. H. Hagermann et al., "Recommenda- tions for implementing the strategic initiative INDUSTRIE 4.0," Industry-Science Research Alliance: p. 29, April 2013. Editor's Note: This article was originally published in the proceedings of SMTA Interna- tional 2017. Thilo Sack is principal engineer for research and development at Celestica. Alex Chen is a technology development engineer at Celestica. James Huang is an operations manager at Celestica China. Table 1: Rank order of energy savings. ENERGY SAVINGS Stress chamber autonomous on/off control Stress chamber utilization and peak demand controls Chiller demand AHU temperature controls Reflow oven control Wave solder machine pump controls Air pressure system controls Central vacuum system controls 1. 2. 3. 4. 5. 6. 7. 8.

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