A systematic energy-aware scheduling framework for manufacturing factories integrated with renewables

References

• Abikarram, Jose Batista, and Katie McConky. 2017. “Real Time Machine Coordination for Instantaneous Load Smoothing and Photovoltaic Intermittency Mitigation.” Journal of Cleaner Production 142: 1406–1416. https://doi.org/10.1016/j.jclepro.2016.11.166.
   Web of Science ®Google Scholar
• Akbar, Muhammad, and Takashi Irohara. 2018. “Scheduling for Sustainable Manufacturing: A Review.” Journal of Cleaner Production 205: 866–883. https://doi.org/10.1016/j.jclepro.2018.09.100.
   Web of Science ®Google Scholar
• Alfieri, A. 2007. “Due Date Quoting and Scheduling Interaction in Production Lines.” International Journal of Computer Integrated Manufacturing 20 (6): 579–587. https://doi.org/10.1080/09511920601079363.
   Web of Science ®Google Scholar
• Allahverdi, Ali, and Harun Aydilek. 2010. “Heuristics for the Two-Machine Flowshop Scheduling Problem to Minimize Maximum Lateness With Bounded Processing Times.” Computers and Mathematics with Applications 60 (5): 1374–1384. https://doi.org/10.1016/j.camwa.2010.06.019.
   Web of Science ®Google Scholar
• Alturki, Fahd A., and Emad Mahrous Awwad. 2021. “Sizing and Cost Minimization of Standalone Hybrid WT/PV/Biomass/Pump-Hydro Storage-Based Energy Systems.” Energies 14 (2): 489. https://doi.org/10.3390/en14020489.
   Web of Science ®Google Scholar
• Bänsch, Kristian, Jan Busse, Frank Meisel, Julia Rieck, Sebastian Scholz, Thomas Volling, and Matthias G. Wichmann. 2021. “Energy-Aware Decision Support Models in Production Environments: A Systematic Literature Review.” Computers and Industrial Engineering 159: 107456. https://doi.org/10.1016/j.cie.2021.107456.
   Web of Science ®Google Scholar
• Beier, Jan. 2017. Simulation Approach Towards Energy Flexible Manufacturing Systems. Sustainable Production, Life Cycle Engineering and Management. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-46639-2.
   Google Scholar
• Biel, Konstantin, Fu Zhao, John W. Sutherland, and Christoph H. Glock. 2018. “Flow Shop Scheduling With Grid-Integrated Onsite Wind Power Using Stochastic MILP.” International Journal of Production Research 56 (5): 2076–2098. https://doi.org/10.1080/00207543.2017.1351638.
   Web of Science ®Google Scholar
• Bruzzone, A. A. G., D. Anghinolfi, M. Paolucci, and F. Tonelli. 2012. “Energy-Aware Scheduling for Improving Manufacturing Process Sustainability: A Mathematical Model for Flexible Flow Shops.” CIRP Annals 61 (1): 459–462. https://doi.org/10.1016/j.cirp.2012.03.084.
   Web of Science ®Google Scholar
• Cai, Lei, Wenfeng Li, Yun Luo, and Lijun He. 2023. “Real-Time Scheduling Simulation Optimisation of Job Shop in A Production-Logistics Collaborative Environment.” International Journal of Production Research 61 (5): 1373–1393. https://doi.org/10.1080/00207543.2021.2023777.
   Web of Science ®Google Scholar
• Caldeira, Rylan H., A. Gnanavelbabu, and T. Vaidyanathan. 2020. “An Effective Backtracking Search Algorithm for Multi-Objective Flexible Job Shop Scheduling Considering New Job Arrivals and Energy Consumption.” Computers and Industrial Engineering 149: 106863. https://doi.org/10.1016/j.cie.2020.106863.
   Web of Science ®Google Scholar
• Carlucci, Daniela, Paolo Renna, and Sergio Materi. 2023. “A Job-Shop Scheduling Decision-Making Model for Sustainable Production Planning With Power Constraint.” IEEE Transactions on Engineering Management 70 (5): 1923–1932. https://doi.org/10.1109/TEM.2021.3103108.
   Web of Science ®Google Scholar
• Chowdhury, S., G. A. Taylor, S. P. Chowdhury, A. K. Saha, and Y. H. Song. 2007. “Modelling, Simulation and Performance Analysis of a PV Array in An Embedded Environment.” In 2007 42nd International Universities Power Engineering Conference, 781–785. IEEE.
   Google Scholar
• Dong, Jun, and Chunming Ye. 2022. “Green Scheduling of Distributed Two-Stage Reentrant Hybrid Flow Shop Considering Distributed Energy Resources And Energy Storage System.” Computers and Industrial Engineering 169: 108146. https://doi.org/10.1016/j.cie.2022.108146.
   Web of Science ®Google Scholar
• Eunike, Agustina, Kung-Jeng Wang, Jingming Chiu, and Yuling Hsu. 2022. “Real-Time Resilient Scheduling by Digital Twin Technology in a Flow-Shop Manufacturing System.” Procedia CIRP 107: 668–674. https://doi.org/10.1016/j.procir.2022.05.043.
   Google Scholar
• Fang, Kuei-Tang, and Bertrand M. T. Lin. 2013. “Parallel-Machine Scheduling to Minimize Tardiness Penalty and Power Cost.” Computers & Industrial Engineering 64 (1): 224–234. https://doi.org/10.1016/j.cie.2012.10.002.
   Web of Science ®Google Scholar
• Hasan, S. M. Kamrul, Ruhul Sarker, and Daryl Essam. 2011. “Genetic Algorithm for Job-Shop Scheduling With Machine Unavailability and Breakdowns.” International Journal of Production Research 49 (16): 4999–5015. https://doi.org/10.1080/00207543.2010.495088.
   Web of Science ®Google Scholar
• Karimi, Sajad, and Soongeol Kwon. 2021. “Comparative Analysis of the Impact of Energy-Aware Scheduling, Renewable Energy Generation, and Battery Energy Storage on Production Scheduling.” International Journal of Energy Research 45 (13): 18981–18998. https://doi.org/10.1002/er.6999.
   Web of Science ®Google Scholar
• Katragjini, Ketrina, Eva Vallada, and Rubén Ruiz. 2013. “Flow Shop Rescheduling Under Different Types of Disruption.” International Journal of Production Research 51 (3): 780–797. https://doi.org/10.1080/00207543.2012.666856.
   Web of Science ®Google Scholar
• Kemmoe, Sylverin, Damien Lamy, and Nikolay Tchernev. 2017. “Job-Shop Like Manufacturing System With Variable Power Threshold and Operations With Power Requirements.” International Journal of Production Research 55 (20): 6011–6032. https://doi.org/10.1080/00207543.2017.1321801.
   Web of Science ®Google Scholar
• Khalaf, Alireza Fazli, and Yong Wang. 2018. “Energy-Cost-Aware Flow Shop Scheduling Considering Intermittent Renewables, Energy Storage, And Real-Time Electricity Pricing.” International Journal of Energy Research 42 (12): 3928–3942. https://doi.org/10.1002/er.4130.
   Web of Science ®Google Scholar
• Khaled, Mohamed Saeed, Ibrahim Abdelfadeel Shaban, Ahmed Karam, Mohamed Hussain, Ismail Zahran, and Mohamed Hussein. 2022. “An Analysis of Research Trends in the Sustainability of Production Planning.” Energies 15 (2): 483. https://doi.org/10.3390/en15020483.
   Web of Science ®Google Scholar
• Kim, Hyun-Jung, Eun-Seok Kim, Jun-Ho Lee, Lixin Tang, and Yang Yang. 2022. “Single-Machine Scheduling With Energy Generation and Storage Systems.” International Journal of Production Research 60 (23): 7033–7052. https://doi.org/10.1080/00207543.2021.2000655.
   Web of Science ®Google Scholar
• Kumar, K. Prakash, and B. Saravanan. 2017. “Recent Techniques to Model Uncertainties in Power Generation From Renewable Energy Sources and Loads in Microgrids – A Review.” Renewable and Sustainable Energy Reviews 71: 348–358. https://doi.org/10.1016/j.rser.2016.12.063.
   Web of Science ®Google Scholar
• Lee, Seokgi, and Vittaldas V. Prabhu. 2015. “Energy-Aware Feedback Control for Production Scheduling and Capacity Control.” International Journal of Production Research 53 (23): 7158–7170. https://doi.org/10.1080/00207543.2015.1082666.
   Web of Science ®Google Scholar
• Li, Wen. 2015. Efficiency of Manufacturing Processes: Energy and Ecological Perspectives. Sustainable Production, Life Cycle Engineering and Management. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-17365-8.
   Google Scholar
• Liu, Cheng-Hsiang. 2016. “Mathematical Programming Formulations for Single-Machine Scheduling Problems While Considering Renewable Energy Uncertainty.” International Journal of Production Research 54 (4): 1122–1133. https://doi.org/10.1080/00207543.2015.1048380.
   Web of Science ®Google Scholar
• Liu, Guo-Sheng, Hai-Dong Yang, and Ming-Bao Cheng. 2017. “A Three-Stage Decomposition Approach for Energy-Aware Scheduling With Processing-Time-Dependent Product Quality.” International Journal of Production Research 55 (11): 3073–3091. https://doi.org/10.1080/00207543.2016.1241446.
   Web of Science ®Google Scholar
• Mikhaylidi, Yevgenia, Hussein Naseraldin, and Liron Yedidsion. 2015. “Operations Scheduling Under Electricity Time-Varying Prices.” International Journal of Production Research 53 (23): 7136–7157. https://doi.org/10.1080/00207543.2015.1058981.
   Web of Science ®Google Scholar
• Moon, Joon-Yung, and Jinwoo Park. 2014. “Smart Production Scheduling With Time-Dependent and Machine-Dependent Electricity Cost by Considering Distributed Energy Resources and Energy Storage.” International Journal of Production Research 52 (13): 3922–3939. https://doi.org/10.1080/00207543.2013.860251.
   Web of Science ®Google Scholar
• Mouzon, Gilles, Mehmet B. Yildirim, and Janet Twomey. 2007. “Operational Methods for Minimization of Energy Consumption of Manufacturing Equipment.” International Journal of Production Research 45 (18–19): 4247–4271. https://doi.org/10.1080/00207540701450013.
   Web of Science ®Google Scholar
• Nayak, Ashutosh, Seokcheon Lee, and John W. Sutherland. 2019. “Dynamic Load Scheduling for Energy Efficiency in a Job Shop With On-Site Wind Mill for Energy Generation.” Procedia CIRP 80: 197–202. https://doi.org/10.1016/j.procir.2018.12.003.
   Google Scholar
• Nouiri, M., A. Bekrar, and D. Trentesaux. 2018. “Towards Energy Efficient Scheduling and Rescheduling for Dynamic Flexible Job Shop Problem.” IFAC-PapersOnLine 51 (11): 1275–1280. https://doi.org/10.1016/j.ifacol.2018.08.357.
   Google Scholar
• Pei, Zhi, Peiqi Yang, Yujuan Wang, and Chao-Bo Yan. 2023. “Energy Consumption Control in the Two-machine Bernoulli Serial Production Line With Setup and Idleness.” International Journal of Production Research 61 (9): 2917–2936. https://doi.org/10.1080/00207543.2022.2073287.
   Web of Science ®Google Scholar
• Ren, Jianfeng, Chunming Ye, and Feng Yang. 2021. “Solving Flow-shop Scheduling Problem With a Reinforcement Learning Algorithm That Generalizes the Value Function With Neural Network.” Alexandria Engineering Journal 60 (3): 2787–2800. https://doi.org/10.1016/j.aej.2021.01.030.
   Web of Science ®Google Scholar
• Salido, Miguel A., Joan Escamilla, Federico Barber, and Adriana Giret. 2017. “Rescheduling in Job-shop Problems for Sustainable Manufacturing Systems.” Journal of Cleaner Production 162: S121–S132. https://doi.org/10.1016/j.jclepro.2016.11.002.
   Web of Science ®Google Scholar
• Sang, Yanwei, Jianping Tan, and Wen Liu. 2021. “A New Many-objective Green Dynamic Scheduling Disruption Management Approach for Machining Workshop Based on Green Manufacturing.” Journal of Cleaner Production 297: 126489. https://doi.org/10.1016/j.jclepro.2021.126489.
   Web of Science ®Google Scholar
• Shi, Jiaqi, Liya Ma, Chenchen Li, Nian Liu, and Jianhua Zhang. 2022. “A Comprehensive Review of Standards for Distributed Energy Resource Grid-integration and Microgrid.” Renewable and Sustainable Energy Reviews 170: 112957. https://doi.org/10.1016/j.rser.2022.112957.
   Web of Science ®Google Scholar
• Thornton, Ashley, Cedric Schultz, Sami Kara, and Gunther Reinhart. December 2017. “Concurrent scheduling of a job shop and microgrid to minimize energy costs under due date constraints.” In 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 1326–1330. Singapore: IEEE. http://ieeexplore.ieee.org/document/8290108/.
   Google Scholar
• Wang, Kai, Yun Huang, and Hu Qin. 2016. “A Fuzzy Logic-based Hybrid Estimation of Distribution Algorithm for Distributed Permutation Flowshop Scheduling Problems Under Machine Breakdown.” Journal of the Operational Research Society 67 (1): 68–82. https://doi.org/10.1057/jors.2015.50.
   Web of Science ®Google Scholar
• Wang, Jin, Yang Liu, Shan Ren, Chuang Wang, and Wenbo Wang. 2021. “Evolutionary Game Based Real-time Scheduling for Energy-efficient Distributed and Flexible Job Shop.” Journal of Cleaner Production 293: 126093. https://doi.org/10.1016/j.jclepro.2021.126093.
   Web of Science ®Google Scholar
• Xiong, Jian, Li-ning Xing, and Ying-wu Chen. 2013. “Robust Scheduling for Multi-objective Flexible Job-shop Problems With Random Machine Breakdowns.” International Journal of Production Economics 141 (1): 112–126. https://doi.org/10.1016/j.ijpe.2012.04.015.
   Web of Science ®Google Scholar
• Yan, Qi, Hongfeng Wang, and Fang Wu. 2022. “Digital Twin-enabled Dynamic Scheduling With Preventive Maintenance Using a Double-layer Q-learning Algorithm.” Computers and Operations Research 144: 105823. https://doi.org/10.1016/j.cor.2022.105823.
   Web of Science ®Google Scholar
• Zhai, Yuxin, Konstantin Biel, Fu Zhao, and John W. Sutherland. 2017. “Dynamic Scheduling of a Flow Shop With On-Site Wind Generation for Energy Cost Reduction Under Real Time Electricity Pricing.” CIRP Annals 66 (1): 41–44. https://doi.org/10.1016/j.cirp.2017.04.099.
   Web of Science ®Google Scholar