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2017 | OriginalPaper | Chapter

3. Existing Approaches in the Field of Energy Flexible Manufacturing Systems

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Abstract

The formulated bottom-up research question from Chap. 1 is focused on methods and tools towards flexible electricity demand of industry. The second chapter described theoretical background on manufacturing systems, their energy demand and energy flexibility. Consequently, the next step is to review, classify, and evaluate existing approaches to identify what methods towards fulfillment of mentioned research question are already available and to analyze potential gaps. As outlined in the previous chapter, described research question is closely related to the topic of energy flexibility, which is selected as the focal point for identifying existing methods. First, general considerations for selecting and classifying approaches are described, which also covers criteria for including and excluding approaches for detailed review. Selected publications are then reviewed in detail. Detailed evaluation criteria are derived from presented theoretical background (Chap. 2) and analyzed publications. This evaluation framework is then applied to previously summarized approaches. The result is a comprehensive overview of the current state of existing research on energy flexibility, with a focus on manufacturing. Based on this, gaps are identified and prevailing research demand is derived.

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Footnotes
1
Note that the structure and references of this paragraph are based on Beier et al. (2017).
 
2
Partly based on Beier et al. (2017).
 
3
Note that additions (especially a GUI and implementation through PLCs) to Babu and Ashok (2008) from Ashok (2010) and Mohan and Ashok (2011) have been reflected in the evaluation of Babu and Ashok (2008).
 
Literature
go back to reference Abele, E., Braun, S., & Schraml, P. (2015a). Holistic simulation environment for energy consumption prediction of machine tools. Procedia CIRP, 29, 251–256.CrossRef Abele, E., Braun, S., & Schraml, P. (2015a). Holistic simulation environment for energy consumption prediction of machine tools. Procedia CIRP, 29, 251–256.CrossRef
go back to reference Alcázar-Ortega, M., Álvarez-Bel, C., Domijan, A., & Escrivá-Escrivá, G. (2012). Economic and environmental evaluation of customers’ flexibility participating in operation markets: Application to the meat industry. Energy, 41(1), 368–379. doi:10.1016/j.energy.2012.03.003.CrossRef Alcázar-Ortega, M., Álvarez-Bel, C., Domijan, A., & Escrivá-Escrivá, G. (2012). Economic and environmental evaluation of customers’ flexibility participating in operation markets: Application to the meat industry. Energy, 41(1), 368–379. doi:10.​1016/​j.​energy.​2012.​03.​003.CrossRef
go back to reference Alcázar-Ortega, M., Álvarez-Bel, C., Escrivá-Escrivá, G., & Domijan, A. (2012b). Evaluation and assessment of demand response potential applied to the meat industry. Applied Energy, 92, 84–91.CrossRef Alcázar-Ortega, M., Álvarez-Bel, C., Escrivá-Escrivá, G., & Domijan, A. (2012b). Evaluation and assessment of demand response potential applied to the meat industry. Applied Energy, 92, 84–91.CrossRef
go back to reference Arteconi, A., Hewitt, N., & Polonara, F. (2012). State of the art of thermal storage for demand-side management. Applied Energy, 93, 371–389.CrossRef Arteconi, A., Hewitt, N., & Polonara, F. (2012). State of the art of thermal storage for demand-side management. Applied Energy, 93, 371–389.CrossRef
go back to reference Ashok, S. (2006). Peak-load management in steel plants. Applied Energy, 83(5), 413–424.CrossRef Ashok, S. (2006). Peak-load management in steel plants. Applied Energy, 83(5), 413–424.CrossRef
go back to reference Ashok, S. (2010). PLC-based load management in steel rolling mills. Energy Engineering, 107(4), 38–53. Ashok, S. (2010). PLC-based load management in steel rolling mills. Energy Engineering, 107(4), 38–53.
go back to reference Ashok, S., & Banerjee, R. (2000). Load-management applications for the industrial sector. Applied Energy, 66(2), 105–111.CrossRef Ashok, S., & Banerjee, R. (2000). Load-management applications for the industrial sector. Applied Energy, 66(2), 105–111.CrossRef
go back to reference Ashok, S., & Banerjee, R. (2003b). Optimal operation of industrial cogeneration for load management. IEEE Transactions on Power Systems, 18(2), 931–937.CrossRef Ashok, S., & Banerjee, R. (2003b). Optimal operation of industrial cogeneration for load management. IEEE Transactions on Power Systems, 18(2), 931–937.CrossRef
go back to reference Ashok, S., & Banerjee, R. (2003a). Optimal cool storage capacity for load management. Energy, 28(2), 115–126.CrossRef Ashok, S., & Banerjee, R. (2003a). Optimal cool storage capacity for load management. Energy, 28(2), 115–126.CrossRef
go back to reference Beier, J., Thiede, S., & Herrmann, C. (2015). Increasing energy flexibility of manufacturing systems through flexible compressed air generation. Procedia CIRP, 37, 18–23.CrossRef Beier, J., Thiede, S., & Herrmann, C. (2015). Increasing energy flexibility of manufacturing systems through flexible compressed air generation. Procedia CIRP, 37, 18–23.CrossRef
go back to reference Beier, J., Thiede, S., & Herrmann, C. (2017). Energy flexibility of manufacturing systems for variable renewable energy supply integration: real-time control concept and simulation. Journal of Cleaner Production, 141, 648–661. Beier, J., Thiede, S., & Herrmann, C. (2017). Energy flexibility of manufacturing systems for variable renewable energy supply integration: real-time control concept and simulation. Journal of Cleaner Production, 141, 648–661.
go back to reference Braun, J. E. (2003). Load control using building thermal mass. Journal of Solar Energy Engineering, 125(3), 292–301.CrossRef Braun, J. E. (2003). Load control using building thermal mass. Journal of Solar Energy Engineering, 125(3), 292–301.CrossRef
go back to reference Brundage, M. P., Chang, Q., Li, Y., Arinez, J., & Xiao, G. (2014). Utilizing energy opportunity windows and energy profit bottlenecks to reduce energy consumption per part for a serial production line. In 2014 IEEE International Conference on Automation Science and Engineering (pp. 461–466), Taipei. Brundage, M. P., Chang, Q., Li, Y., Arinez, J., & Xiao, G. (2014). Utilizing energy opportunity windows and energy profit bottlenecks to reduce energy consumption per part for a serial production line. In 2014 IEEE International Conference on Automation Science and Engineering (pp. 461–466), Taipei.
go back to reference Bruzzone, A. A. G., Anghinolfi, D., Paolucci, M., & Tonelli, F. (2012). Energy-aware scheduling for improving manufacturing process sustainability: A mathematical model for flexible flow shops. CIRP Annals Manufacturing Technology, 61, 459–462. doi:10.1016/j.cirp.2012.03.084.CrossRef Bruzzone, A. A. G., Anghinolfi, D., Paolucci, M., & Tonelli, F. (2012). Energy-aware scheduling for improving manufacturing process sustainability: A mathematical model for flexible flow shops. CIRP Annals Manufacturing Technology, 61, 459–462. doi:10.​1016/​j.​cirp.​2012.​03.​084.CrossRef
go back to reference Central Electricity Authority. (2014). Load Generation Balance Report 2014–15. Technical report, Central Electricity Authority, New Delhi. Central Electricity Authority. (2014). Load Generation Balance Report 2014–15. Technical report, Central Electricity Authority, New Delhi.
go back to reference Dai, M., Tang, D., Giret, A., Salido, M. A., & Li, W. D. (2013). Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm. Robot Computer Integrated Manufacturing, 29(5), 418–429.CrossRef Dai, M., Tang, D., Giret, A., Salido, M. A., & Li, W. D. (2013). Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm. Robot Computer Integrated Manufacturing, 29(5), 418–429.CrossRef
go back to reference Emec, S., Kuschke, M., Huber, F. W., Stephan, R., Strunz, K., & Seliger, G. (2013). Stochastic optimization method to schedule production steps according to volatile energy price. In G. Seliger (Ed.), GCSM 11th global conference on sustainable manufacturing (pp. 637–642). Berlin: Springer. Emec, S., Kuschke, M., Huber, F. W., Stephan, R., Strunz, K., & Seliger, G. (2013). Stochastic optimization method to schedule production steps according to volatile energy price. In G. Seliger (Ed.), GCSM 11th global conference on sustainable manufacturing (pp. 637–642). Berlin: Springer.
go back to reference Feder, F., Erlach, K., Hosak, F., & Lepple, H. (2015). Der energieflexible und effiziente Energiewertstrom. wt Werkstattstech online, 105(5), 313–318. Feder, F., Erlach, K., Hosak, F., & Lepple, H. (2015). Der energieflexible und effiziente Energiewertstrom. wt Werkstattstech online, 105(5), 313–318.
go back to reference Fernandez, M., Li, L., & Sun, Z. (2013). “Just-for-Peak” buffer inventory for peak electricity demand reduction of manufacturing systems. International Journal of Production Economics, 146(1), 178–184.CrossRef Fernandez, M., Li, L., & Sun, Z. (2013). “Just-for-Peak” buffer inventory for peak electricity demand reduction of manufacturing systems. International Journal of Production Economics, 146(1), 178–184.CrossRef
go back to reference Gerhard, D. (2015). Integrated systems: innovations and applications. In M. Fathi (Ed.), Integrated systems innovations applied (pp. 29–38). Cham, Switzerland: Springer International Publishing. Gerhard, D. (2015). Integrated systems: innovations and applications. In M. Fathi (Ed.), Integrated systems innovations applied (pp. 29–38). Cham, Switzerland: Springer International Publishing.
go back to reference Ghadimi, P., Kara, S., & Kornfeld, B. (2015). Renewable energy integration into factories: Real-time control of on-site energy systems. CIRP Annals Manufacturing Technology, 64(1), 443–446.CrossRef Ghadimi, P., Kara, S., & Kornfeld, B. (2015). Renewable energy integration into factories: Real-time control of on-site energy systems. CIRP Annals Manufacturing Technology, 64(1), 443–446.CrossRef
go back to reference Giret, A., Trentesaux, D., & Prabhu, V. (2015). Sustainability in manufacturing operations scheduling: A state of the art review. Journal of Manufacturing Systems, 37(1), 126–140.CrossRef Giret, A., Trentesaux, D., & Prabhu, V. (2015). Sustainability in manufacturing operations scheduling: A state of the art review. Journal of Manufacturing Systems, 37(1), 126–140.CrossRef
go back to reference Graßl, M. (2015). Bewertung der Energieflexibilität in der Produktion. München: Herbert Utz. Graßl, M. (2015). Bewertung der Energieflexibilität in der Produktion. München: Herbert Utz.
go back to reference Graßl, M., & Reinhart, G. (2014). Evaluating measures for adapting the energy demand of a production system to volatile energy prices. Procedia CIRP, 15, 129–134.CrossRef Graßl, M., & Reinhart, G. (2014). Evaluating measures for adapting the energy demand of a production system to volatile energy prices. Procedia CIRP, 15, 129–134.CrossRef
go back to reference Graßl, M., Vikdahl, E., & Reinhart, G. (2013). A petri-net based approach for evaluating energy flexibility of production machines. In M. Zäh (Ed.), 5th international conference on chang agil reconfigurable virtual production (CARV 2013) (pp. 303–308). Switzerland, Munich: Springer International Publishing. Graßl, M., Vikdahl, E., & Reinhart, G. (2013). A petri-net based approach for evaluating energy flexibility of production machines. In M. Zäh (Ed.), 5th international conference on chang agil reconfigurable virtual production (CARV 2013) (pp. 303–308). Switzerland, Munich: Springer International Publishing.
go back to reference Gutowski, T. G., Dahmus, J., & Thiriez, A. (2006). Electrical energy requirements for manufacturing processes. In 13th CIRP International Conference on Life Cycle Engineering (pp. 623–627), Lueven. Gutowski, T. G., Dahmus, J., & Thiriez, A. (2006). Electrical energy requirements for manufacturing processes. In 13th CIRP International Conference on Life Cycle Engineering (pp. 623–627), Lueven.
go back to reference Junge, M. (2007). Simulationsgestützte Entwicklung und Optimierung einer energieeffizienten Produktionssteuerung. Kassel University Press GmbH, Kassel. Junge, M. (2007). Simulationsgestützte Entwicklung und Optimierung einer energieeffizienten Produktionssteuerung. Kassel University Press GmbH, Kassel.
go back to reference Keller, F., & Reinhart, G. (2015). Produktionsplanung unter Berücksichtigung des Energiebezugs. wt Werkstattstech online, 105(3), 141–147. Keller, F., & Reinhart, G. (2015). Produktionsplanung unter Berücksichtigung des Energiebezugs. wt Werkstattstech online, 105(3), 141–147.
go back to reference Keller, F., Schönborn, C., & Reinhart, G. (2015). Energy-orientated machine scheduling for hybrid flow shops. Procedia CIRP, 29, 156–161.CrossRef Keller, F., Schönborn, C., & Reinhart, G. (2015). Energy-orientated machine scheduling for hybrid flow shops. Procedia CIRP, 29, 156–161.CrossRef
go back to reference Li, L., Chang, Q., & Ni, J. (2009). Data driven bottleneck detection of manufacturing systems. International Journal of Production Research, 47(18), 5019–5036.CrossRefMATH Li, L., Chang, Q., & Ni, J. (2009). Data driven bottleneck detection of manufacturing systems. International Journal of Production Research, 47(18), 5019–5036.CrossRefMATH
go back to reference Li, W., & Kara, S. (2011). An empirical model for predicting energy consumption of manufacturing processes: A case of turning process. Proceedings of the Institution of Mechanical Engineers Part B, Journal of Engineering Manufacturing, 225(9), 1636–1646.CrossRef Li, W., & Kara, S. (2011). An empirical model for predicting energy consumption of manufacturing processes: A case of turning process. Proceedings of the Institution of Mechanical Engineers Part B, Journal of Engineering Manufacturing, 225(9), 1636–1646.CrossRef
go back to reference Li, L., Sun, Z., Yang, H., Gu, F., & (2012b). Simulation-based energy efficiency improvement for sustainable manufacturing systems. In Proceedings of ASME (2012) International Manufacturing Science and Engineering Conference MSEC2012 (pp. 1033–1039). IN: Notre Dame. Li, L., Sun, Z., Yang, H., Gu, F., & (2012b). Simulation-based energy efficiency improvement for sustainable manufacturing systems. In Proceedings of ASME (2012) International Manufacturing Science and Engineering Conference MSEC2012 (pp. 1033–1039). IN: Notre Dame.
go back to reference Liebl, C., & Zäh, M. F. (2014). Energiebedarfssimulation von Produktionsanlagen. wt Werkstattstech online, 104(5), 325–329. Liebl, C., & Zäh, M. F. (2014). Energiebedarfssimulation von Produktionsanlagen. wt Werkstattstech online, 104(5), 325–329.
go back to reference Liebl, C., Popp, R., & Zäh, M. F. (2015). Energieflexibilität von Produktionsanlagen. wt Werkstattstech online, 105(3), 136–140. Liebl, C., Popp, R., & Zäh, M. F. (2015). Energieflexibilität von Produktionsanlagen. wt Werkstattstech online, 105(3), 136–140.
go back to reference Middelberg, A., Zhang, J., & Xia, X. (2009). An optimal control model for load shifting - With application in the energy management of a colliery. Applied Energy, 86, 1266–1273.CrossRef Middelberg, A., Zhang, J., & Xia, X. (2009). An optimal control model for load shifting - With application in the energy management of a colliery. Applied Energy, 86, 1266–1273.CrossRef
go back to reference Mohan, L., & Ashok, S. (2011). PLC based peak load control for chemical industries. World Journal of Engineering, 8(1), 35–44.CrossRef Mohan, L., & Ashok, S. (2011). PLC based peak load control for chemical industries. World Journal of Engineering, 8(1), 35–44.CrossRef
go back to reference Neugebauer, R., Putz, M., Schlegel, A., Langer, T., Franz, E., & Lorenz, S. (2012). Energy-sensitive production control in mixed model manufacturing processes. In 19th CIRP International Conference Life Cycle Engineering (pp. 399–404), Berkeley. Neugebauer, R., Putz, M., Schlegel, A., Langer, T., Franz, E., & Lorenz, S. (2012). Energy-sensitive production control in mixed model manufacturing processes. In 19th CIRP International Conference Life Cycle Engineering (pp. 399–404), Berkeley.
go back to reference Nilsson, K. (1992). Industrial production planning with optimal electricity cost. Energy Conversion and Management, 34(3), 153–158.CrossRef Nilsson, K. (1992). Industrial production planning with optimal electricity cost. Energy Conversion and Management, 34(3), 153–158.CrossRef
go back to reference Nilsson, K., & Söderström, M. (1993). Industrial applications of production planning with optimal electricity demand. Applied Energy, 46(2), 181–192.CrossRef Nilsson, K., & Söderström, M. (1993). Industrial applications of production planning with optimal electricity demand. Applied Energy, 46(2), 181–192.CrossRef
go back to reference Outhred, H., Bannister, C., Kaye, R., Lee, Y., Sutanto, D., & Manimaran, R. (1988). Electricity pricing: Optimal operation and investment by industrial consumers. Energy Policy, 16(4), 384–393.CrossRef Outhred, H., Bannister, C., Kaye, R., Lee, Y., Sutanto, D., & Manimaran, R. (1988). Electricity pricing: Optimal operation and investment by industrial consumers. Energy Policy, 16(4), 384–393.CrossRef
go back to reference Paulus, M., & Borggrefe, F. (2011). The potential of demand-side management in energy-intensive industries for electricity markets in Germany. Applied Energy, 88(2), 432–441.CrossRef Paulus, M., & Borggrefe, F. (2011). The potential of demand-side management in energy-intensive industries for electricity markets in Germany. Applied Energy, 88(2), 432–441.CrossRef
go back to reference Pechmann, A. & Schöler, I. (2011). Optimizing energy costs by intelligent production scheduling. In Proceedings of the 18th CIRP International Conference of Life Cycle Engineering (pp. 293–298), Braunschweig. Pechmann, A. & Schöler, I. (2011). Optimizing energy costs by intelligent production scheduling. In Proceedings of the 18th CIRP International Conference of Life Cycle Engineering (pp. 293–298), Braunschweig.
go back to reference Popp, R., Keller, F., Atabay, D., Dornmair, R., Buderus, J., & Kohl, J. (2013). Technische Innovationen für die Energieflexible Fabrik. ZWF Zeitschrift für wirtschaftlichen Fabrikbetr, 108(07–08), 556–560. Popp, R., Keller, F., Atabay, D., Dornmair, R., Buderus, J., & Kohl, J. (2013). Technische Innovationen für die Energieflexible Fabrik. ZWF Zeitschrift für wirtschaftlichen Fabrikbetr, 108(07–08), 556–560.
go back to reference Popp, R., & Zäh, M. F. (2014). Steuerung des Energiebedarfs von Werkzeugmaschinen. wt Werkstattstech online, 104(6), 413–417. Popp, R., & Zäh, M. F. (2014). Steuerung des Energiebedarfs von Werkzeugmaschinen. wt Werkstattstech online, 104(6), 413–417.
go back to reference Posselt, G. (2016). Towards energy transparent factories. Cham: Springer International Publishing.CrossRef Posselt, G. (2016). Towards energy transparent factories. Cham: Springer International Publishing.CrossRef
go back to reference Rager, M. (2008). Energieorientierte Produktionsplanung: Analyse, Konzeption und Umsetzung (Gabler ed.). Wiesbaden: Wissenschaft. Rager, M. (2008). Energieorientierte Produktionsplanung: Analyse, Konzeption und Umsetzung (Gabler ed.). Wiesbaden: Wissenschaft.
go back to reference Rankin, R., & Rousseau, P. (2008). Demand side management in South Africa at industrial residence water heating systems using in line water heating methodology. Energy Conversion and Management, 49(1), 62–74.CrossRef Rankin, R., & Rousseau, P. (2008). Demand side management in South Africa at industrial residence water heating systems using in line water heating methodology. Energy Conversion and Management, 49(1), 62–74.CrossRef
go back to reference Reinhart, G., Graßl, M., & Datzmann, S. (2014). Methode zur Bewertung der Energieflexibilität. wt Werkstattstech online, 104(5), 313–319. Reinhart, G., Graßl, M., & Datzmann, S. (2014). Methode zur Bewertung der Energieflexibilität. wt Werkstattstech online, 104(5), 313–319.
go back to reference Reinhart, G., Reinhardt, S., & Graßl, M. (2012). Energieflexible Produktionssysteme. wt Werkstattstech online, 102(9), 622–628. Reinhart, G., Reinhardt, S., & Graßl, M. (2012). Energieflexible Produktionssysteme. wt Werkstattstech online, 102(9), 622–628.
go back to reference Reinhart, G., & Schultz, C. (2014). Herausforderungen einer energieorientierten Produktionssteuerung. ZWF Zeitschrift für wirtschaftlichen Fabrikbetr, 109(1–2), 29–33. Reinhart, G., & Schultz, C. (2014). Herausforderungen einer energieorientierten Produktionssteuerung. ZWF Zeitschrift für wirtschaftlichen Fabrikbetr, 109(1–2), 29–33.
go back to reference Reynders, G., Nuytten, T., & Saelens, D. (2013). Potential of structural thermal mass for demand-side management in dwellings. Building and Environment, 64, 187–199.CrossRef Reynders, G., Nuytten, T., & Saelens, D. (2013). Potential of structural thermal mass for demand-side management in dwellings. Building and Environment, 64, 187–199.CrossRef
go back to reference Schultz, C., Braunreuther, S., & Reinhart, G. (2015a). Integration von Lastmanagementstrategien in die Produktionssteuerung. ZWF Zeitschrift für wirtschaftlichen Fabrikbetr, 110(11), 675–680. Schultz, C., Braunreuther, S., & Reinhart, G. (2015a). Integration von Lastmanagementstrategien in die Produktionssteuerung. ZWF Zeitschrift für wirtschaftlichen Fabrikbetr, 110(11), 675–680.
go back to reference Schultz, C., Keller, F., & Reinhart, G. (2014). Modellierung einer energieorientierten PPS. wt Werkstattstech online, 104(11/12), 771–775. Schultz, C., Keller, F., & Reinhart, G. (2014). Modellierung einer energieorientierten PPS. wt Werkstattstech online, 104(11/12), 771–775.
go back to reference Schultz, C., Keller, F., Simon, P., Reinhart, G., Dornmair, R., & Wagner, U. (2015b). Wirtschaftlicher Einsatz von Energieflexibilität als Lösungsbaustein der Energiewende. ZWF Zeitschrift für wirtschaftlichen Fabrikbetr, 110(7–8), 416–420. Schultz, C., Keller, F., Simon, P., Reinhart, G., Dornmair, R., & Wagner, U. (2015b). Wirtschaftlicher Einsatz von Energieflexibilität als Lösungsbaustein der Energiewende. ZWF Zeitschrift für wirtschaftlichen Fabrikbetr, 110(7–8), 416–420.
go back to reference Schultz, C., Sellmaier, P., & Reinhart, G. (2015c). An approach for energy-oriented production control using energy flexibility. Procedia CIRP, 29, 197–202.CrossRef Schultz, C., Sellmaier, P., & Reinhart, G. (2015c). An approach for energy-oriented production control using energy flexibility. Procedia CIRP, 29, 197–202.CrossRef
go back to reference Sun, Z., Li, L., Fernandez, M., & Wang, J. (2014). Inventory control for peak electricity demand reduction of manufacturing systems considering the tradeoff between production loss and energy savings. Journal of Cleaner Production, 82, 84–93.CrossRef Sun, Z., Li, L., Fernandez, M., & Wang, J. (2014). Inventory control for peak electricity demand reduction of manufacturing systems considering the tradeoff between production loss and energy savings. Journal of Cleaner Production, 82, 84–93.CrossRef
go back to reference Thiede, S. (2012). Energy efficiency in manufacturing systems. Berlin, Heidelberg: Springer.CrossRef Thiede, S. (2012). Energy efficiency in manufacturing systems. Berlin, Heidelberg: Springer.CrossRef
go back to reference Wang, X., Ding, H., Qiu, M., & Dong, J. (2011). A low-carbon production scheduling system considering renewable energy. In Proceedings of 2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011 (pp. 101–106). Wang, X., Ding, H., Qiu, M., & Dong, J. (2011). A low-carbon production scheduling system considering renewable energy. In Proceedings of 2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011 (pp. 101–106).
go back to reference Weinert, N. (2010). Vorgehensweise für Planung und Betrieb energieeffizienter Produktionssysteme. Stuttgart: Fraunhofer. Weinert, N. (2010). Vorgehensweise für Planung und Betrieb energieeffizienter Produktionssysteme. Stuttgart: Fraunhofer.
go back to reference Zein, A. (2012). Transition towards energy efficient machine tools. Berlin, Heidelberg: Springer. Zein, A. (2012). Transition towards energy efficient machine tools. Berlin, Heidelberg: Springer.
go back to reference Zhou, Z., & Li, L. (2013). Real time electricity demand response for sustainable manufacturing systems considering throughput bottleneck detection. IEEE International Conference on Automation Science and Engineering (pp. 640–644), Madison. Zhou, Z., & Li, L. (2013). Real time electricity demand response for sustainable manufacturing systems considering throughput bottleneck detection. IEEE International Conference on Automation Science and Engineering (pp. 640–644), Madison.
Metadata
Title
Existing Approaches in the Field of Energy Flexible Manufacturing Systems
Author
Jan Beier
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-46639-2_3

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