- APERC, A. (2013). APEC energy demand and supply outlook. Technical report, Asia-Pacific Economic Cooperation.
- Cheng, J., Chu, F., Xia, W., Ding, J., & Ling, X. (2014, November). Bi-objective optimization for single-machine batch scheduling considering energy cost. In 2014 International Conference on Control, Decision and Information Technologies (CoDIT) (pp. 236-241). IEEE.
- عطائی، حشمت الله، احمدی زر، فردین، ارکات، & جمال. (2022). زمانبندی ماشینهای موازی یکسان با درنظر گرفتن عملیات مشترک بهمنظور کمینه نمودن مجموع انرژیهای مصرفی و مجموع زمانهای دیرکرد.نشریه پژوهشهای مهندسی صنایع در سیستمهای تولید، 9(19)، 107-123.
- افسر، & بهنامیان. (2020). زمانبندی چندعاملی ماشینهای موازی ناهمگن با درنظر گرفتن هزینه انرژی و کارهای بههنگام.نشریه پژوهشهای مهندسی صنایع در سیستمهای تولید، 7(15)، 287-303.
- Cheng, J., Chu, F., & Zhou, M. (2017). An improved model for parallel machine scheduling under time-of-use electricity price. IEEE Transactions on Automation Science and Engineering, 15(2), 896-899.
- Park, M. J., & Ham, A. (2022). Energy-aware flexible job shop scheduling under time-of-use pricing. International Journal of Production Economics, 248, 108507.
- Badri, S. A., Daghbandan, A., AghabeiginiyayFatalaki, Z., &Mirzazadeh, M. (2021). Flow shop scheduling under Time-Of-Use electricity tariffs using fuzzy multi-objective linear programming approach. Journal of mathematical modeling, 9(2), 215-227.
- Rego, M. F., Pinto, J. C. E., Cota, L. P., & Souza, M. J. (2022). A mathematical formulation and an NSGA-II algorithm for minimizing the makespan and energy cost under time-of-use electricity price in an unrelated parallel machine scheduling. PeerJ Computer Science, 8, e844.
- Uzsoy, R. (1994). Scheduling a single batch processing machine with non-identical job sizes. The International Journal of Production Research, 32(7), 1615-1635.
- Tang, L., & Liu, P. (2009). Minimizing makespan in a two-machine flowshop scheduling with batching and release time. Mathematical and Computer Modelling, 49(5-6), 1071-1077.
- Hadera, H., &Harjunkoski, I. (2013). Continuous-time batch scheduling approach for optimizing electricity consumption cost. In Computer Aided Chemical Engineering. Vol. 32, 403-408.
- Hejari, S. R., Emami, S., &Arkan, A. (2009). A Heuristic algorithm for minimizing the expected make span in two machine flow shops with fuzzy processing time. Journal of uncertain systems, 3(2), 114-122.
- Yuan, F., Xu, X., & Yin, M. (2019). A novel fuzzy model for multi-objective permutation flow shop scheduling problem with fuzzy processing time. Advances in Mechanical Engineering, 11(4), 1687814019843699.
- Wang, G. G., Gao, D., &Pedrycz, W. (2022). Solving multi-objective fuzzy job-shop scheduling problem by a hybrid adaptive differential evolution algorithm. IEEE Transactions on Industrial Informatics, 18(12), 8519-8528.
- Fowler, J. W., &Mönch, L. (2022). A survey of scheduling with parallel batch (p-batch) processing. European journal of operational research, 298(1), 1-24.
- Cheng J, Chu F, Chu C, Xia W (2016) Bi-objective optimization of single-machine batch schedulingunder time-of-use electricity prices. RAIRO Oper Res 50(4–5):715–732
- Wu, P., Cheng, J., & Chu, F. (2021). Large-scale energy-conscious bi-objective single-machine batch scheduling under time-of-use electricity tariffs via effective iterative heuristics. Annals of Operations Research, 296(1), 471-494.
- Cheng J, Chu F, Liu M, Wu P, Xia W (2017) Bi-criteria single-machine batch scheduling with machineon/off switching under time-of-use tariffs. Comput Ind Eng 112:721–734
- Cheng J, Chu F, Liu M, Xia W (2016) Single-machine batch scheduling under time-of-use tariffs: newmixed-integer programming approaches. In: Proceedings of the 2016 IEEEinternational conferenceon systems, man, and cybernetics (SMC), pp 3498–3503.
- Wang S, Liu M, Chu F, Chu C (2016) Bi-objective optimization of a single machine batch schedulingproblem with energy cost consideration. J Clean Prod 137:1205–1215
- Zhang, S., Che, A., Wu, X., & Chu, C. (2018). Improved mixed-integer linear programming model and heuristics for bi-objective single-machine batch scheduling with energy cost consideration. Engineering Optimization, 50(8), 1380-1394.
- Zhou, S., Jin, M., & Du, N. (2020). Energy-efficient scheduling of a single batch processing machine with dynamic job arrival times. Energy, 209, 118420.
- Zhou, S., Li, X., Du, N., Pang, Y., & Chen, H. (2018). A multi-objective differential evolution algorithm for parallel batch processing machine scheduling considering electricity consumption cost. Computers &Operations Research, 96, 55-68.
- Jia, Z. H., Zhang, Y. L., Leung, J. Y. T., & Li, K. (2017). Bi-criteria ant colony optimization algorithm for minimizing makespan and energy consumption on parallel batch machines. Applied Soft Computing, 55, 226-237.
- Jia Z-H, Wang Y, Wu C, Yang Y, Zhang X-Y, Chen H-P (2019). Multi-objective energy-aware batchscheduling using ant colony optimization algorithm. Comput Ind Eng 131:41–56.
- Qian, S. Y., Jia, Z. H., & Li, K. (2020). A multi-objective evolutionary algorithm based on adaptive clustering for energy-aware batch scheduling problem. Future Generation Computer Systems, 113, 441-453.
- Rocholl, J., Mönch, L., & Fowler, J. W. (2018, December). Electricity power cost-aware scheduling of jobs on parallel batch processing machines. In 2018 Winter Simulation Conference (WSC) (pp. 3420-3431). IEEE.
- Rocholl, J., Mönch, L., & Fowler, J. (2020). Bi-criteria parallel batch machine scheduling to minimize total weighted tardiness and electricity cost. Journal of Business Economics, 90(9), 1345-1381.
- Bellman, R. E., & Zadeh, L. A. (1970). Decision-making in a fuzzy environment. Management science, 17(4), B-141.
- Zimmermann, H. J. (1978). Fuzzy programming and linear programming with several objective functions. Fuzzy sets and systems, 1(1), 45-55.
|