Switch off policies in job-shop manufacturing systems including workload evaluation

References

• Bentouati, B., Javaid, M. S., Bouchekara, H. R. E. H. &., & El-Fergany Attia, A. (2020). Optimizing performance attributes of electric power systems using chaotic salp swarm optimizer. International Journal of Management Science and Engineering Management, 15(3), 165–175.
   Web of Science ®Google Scholar
• Biel, K., & Glock, C. H. (2016). Systematic literature review of decision support models for energy-efficient production planning. Computers and Industrial Engineering, 101, 243–259.
   Web of Science ®Google Scholar
• Bonilla-Campos, I., Nieto, N., del Portillo-Valdes, L., Manzanedo, J., & Gaztañaga, H. (2020). Energy efficiency optimisation in industrial processes: Integral decision support tool. Energy, 191, 116480.
   Web of Science ®Google Scholar
• Chen, G., Zhang, L., Arinez, J., & Biller, S. (2013). Energy-efficient production systems through schedule-based operations. IEEE Transactions on Automation Science and Engineering, 10(1), 27–37.
   Web of Science ®Google Scholar
• Diaz, C. J. L., & Ocampo-Martinez, C. (2019). Energy efficiency in discrete-manufacturing systems: Insights, trends, and control strategies. Journal of Manufacturing Systems, 52, 131–145.
   Web of Science ®Google Scholar
• European Commission. (2017). Report from the commission to the European Parliament and the Council. Accessed 20 January 2021. https://publications.europa.eu/en/publication-detail/-/publication/a554e5f0-d4f5-11e7-a5b9-01aa75ed71a1/language-en
   Google Scholar
• Fernandes, N. O., & Carmo-Silva, S. (2011). Workload control under continuous order release. International Journal of Production Economics, 131(1), 257–262.
   Web of Science ®Google Scholar
• Frigerio, N., & Matta, A. (2015). Energy-efficient control strategies for machine tools with stochastic arrivals. IEEE Transactions on Automation Science and Engineering, 12(1), 50–61.
   Web of Science ®Google Scholar
• Frigerio, N., & Matta, A. (2016). Analysis on energy efficient switching of machine tool with stochastic arrivals and buffer information. IEEE Transactions on Automation Science and Engineering, 13(1), 238–246.
   Web of Science ®Google Scholar
• Frigerio, N., & Matta, A. (2019). Analysis of production lines with switch-Off/On controlled machines. In S. Thiede & C. Herrmann (Eds.), Eco-factories of the future. Sustainable production, life cycle engineering and management (pp. 147–172). Cham: Springer.
   Google Scholar
• Gerarden, T. D., Newell, R. G., & Stavins, R. N. (2017). Assessing the energy-efficiency gap. Journal of Economic Literature, 55(4), 1486–1525.
   Web of Science ®Google Scholar
• Gutowski, T., Dahmus, J., & Thiriez, A. (2006). Electrical energy requirements for manufacturing processes. Proceedings of the 13th CIRP International Conference on Life Cycle Engineering, LCE 2006, 623–628, Leuven, Belgium
   Google Scholar
• Gutowski, T., Dahmus, J., Thiriez, A., Branham, M., & Jones, A. (2007). A Thermodynamic characterization of manufacturing processes. Proceedings of the 2007 IEEE International Symposium on Electronics and the Environment, (pp. 137–142). Orlando, FL, USA.
   Google Scholar
• Hendry, L. C. (1989). A Decision support system to manage delivery and manufacturing lead times in make to order companies. [Ph.D. Thesis]. Lancaster University.
   Google Scholar
• Khan, M. W., Wang, J., Ma, M., Xiong, L., Li, P., & Wu, F. (2019). Optimal energy management and control aspects of distributed microgrid using multi-agent systems. Sustainable Cities and Society, 44, 855–870.
   Web of Science ®Google Scholar
• Land, M. J., & Gaalman, G. J. C. (1996). Towards simple and robust workload norms. In A. Artiba (Ed.), Proceedings of the workshop on production planning and control (pp. 66–69). Mons/Belgium.
   Google Scholar
• Leithon, J., Werner, S., & Koivunen, V. (2018). Renewable energy optimization with centralized and distributed generation. 2018 26th European Signal Processing Conference (EUSIPCO), (pp. 181–185). Rome, Italy.
   Google Scholar
• Li, W., Zein, A., Kara, S., & Herrmann, C. (2011). An investigation into fixed energy consumption of machine tools. In J. Hesselbach & C. Herrmann (Eds.), Glocalized solutions for sustainability in manufacturing (pp. 268–273). Springer Berlin Heidelberg.
   Google Scholar
• Mashaei, M., & Lennartson, B. (2013). Energy reduction in a pallet-constrained flow shop through on–off control of idle machines. IEEE Transactions on Automation Science and Engineering, 10(1), 45–56.
   Web of Science ®Google Scholar
• Materi, S., D’Angola, A., Enescu, D., & Renna, P. (2021). Reducing energy costs and CO2 emissions by production system energy flexibility through the integration of renewable energy. Production Engineering. doi:https://doi.org/10.1007/s11740-021-01051-5
   Google Scholar
• Oosterman, B., Land, M., & Gaalman, G. (2000). The influence of shop characteristics on workload control. International Journal of Production Economics, 68(1), 107–119.
   Web of Science ®Google Scholar
• Renna, P. (2015). Workload control policies under continuous order release. Production Engineering, 9(5–6), 655–664.
   Google Scholar
• Renna, P. (2018). Energy saving by switch-off policy in a pull-controlled production line. Sustainable Production and Consumption, 16, 25–32.
   Web of Science ®Google Scholar
• Renna, P. (2020). A dynamic adjusted aggregate load method to support workload control policies. Applied Sciences, 10(10), 3497.
   Google Scholar
• Renna, P., & Materi, S. (2020). Design model of flow lines to include switch-off policies reducing energy consumption. Applied Sciences, 10(4), 1475.
   Google Scholar
• Seow, Y., & Rahimifard, S. (2011). A framework for modelling energy consumption within manufacturing systems. CIRP Journal of Manufacturing Science and Technology, 4(3), 258–264.
   Google Scholar
• Stevenson, M., Hendry, L. C., & Kingsman, B. G. (2005). A review of production planning and control: The applicability of key concepts to the make-to-order industry. International Journal of Production Research, 43(5), 869–898.
   Web of Science ®Google Scholar
• Su, H., Frigerio, N., & Matta, A. (2016). Energy saving opportunities and value of information: A trade-off in a production line. Procedia CIRP, 48, 301–306.
   Google Scholar
• Sun, Z., & Li, L. (2013). Opportunity estimation for real-time energy control of sustainable manufacturing systems. IEEE Transactions on Automation Science and Engineering, 10(1), 38–44.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Suwa, H., & Samukawa, T. (2016). A new framework of energy-efficient manufacturing systems based on energy load profiles. Procedia CIRP, 41, 313–317.
   Google Scholar
• Tatsiopoulos, I. P. (1983). A microcomputer-based interactive system for managing production and marketing in small component manufacturing firms using a hierarchical backlog control and lead time management technology. [Ph.D. Thesis]. Lancaster University.
   Google Scholar
• Wang, J., Fei, Z., Chang, Q., Li, S., & Fu, Y. (2019). Multi-state decision of unreliable machines for energy-efficient production considering work-in-process inventory. The International Journal of Advanced Manufacturing Technology, 102(1–4), 1009–1021.
   Web of Science ®Google Scholar
• Wang, J., Xue, J., Duque, E. T., Li, S., & Chang, Q. (2017). Fuzzy decision of machine switch on-off for energy efficient operation of manufacturing system. 2017 13th IEEE Conference on Automation Science and Engineering (CASE), (pp. 1158–1162). Xi'an, China.
   Google Scholar
• Yan, J., Li, L., Zhao, F., Zhang, F., & Zhao, Q. (2016). A multi-level optimization approach for energy-efficient flexible flow shop scheduling. Journal of Cleaner Production, 137, 1543–1552.
   Web of Science ®Google Scholar
• Zhang, Z., Tang, R., Peng, T., Tao, L., & Jia, S. (2016). A method for minimizing the energy consumption of machining system: Integration of process planning and scheduling. Journal of Cleaner Production, 137, 1647–1662.
   Web of Science ®Google Scholar