Smart production scheduling with time-dependent and machine-dependent electricity cost by considering distributed energy resources and energy storage

References

• Achuthan, N. R., and A. Hardjawidjaja. 2001. “Project Scheduling under Time Dependent Costs -- A Branch and Bound Algorithm.” Annals of Operations Research 108: 55–74.
   Web of Science ®Google Scholar
• Alidaee, B., and N. K. Womer. 1999. “Scheduling with Time Dependent Processing Times: Review and Extensions.” Journal of the Operational Research Society 50: 711–720.
   Web of Science ®Google Scholar
• Castro, P. M., I. Harjunkoski, and I. E. Grossmann. 2009. “New Continuous-time Scheduling Formulation for Continuous Plants under Variable Electricity Cost.” Industrial & Engineering Chemistry Research 48: 6701–6714.
   Web of Science ®Google Scholar
• Cheng, T. C. E., Q. Ding, and B. M. T. Lin. 2004. “A Concise Survey of Scheduling with Time-dependent Processing Times.” European Journal of Operational Research 152: 1–13.
   Web of Science ®Google Scholar
• Gao, J., M. Gen, L. Sun, and X. Zhao. 2007. “A Hybrid of Genetic Algorithm and Bottleneck Shifting for Multiobjective Flexible Job Shop Scheduling Problems.” Computers & Industrial Engineering 53 (1): 149–162.
   Web of Science ®Google Scholar
• Garey, M. R., and D. S. Johnson. 1979. Computers and Intractability: A Guide to the Theory of NP-completeness. San Francisco, CA: W.H. Freeman and Company.
   Google Scholar
• Garey, M. R., D. S. Johnson, and R. Sethi. 1976. “The Complexity of Flow Shop and Job-shop Scheduling.” Mathematics of Operations Research 1: 117–129.
   Google Scholar
• Ghobeity, A., and A. Mitsos. 2010. “Optimal Time-dependent Operation of Seawater Reverse Osmosis.” Desalination 263: 76–88.
   Web of Science ®Google Scholar
• Ho, N. B., J. C. Tay, M. Edmund, and K. Lai. 2007. “An Effective Architecture for Learning and Evolving Flexible Job Shop Schedules.” European Journal of Operational Research 179: 316–333.
   Web of Science ®Google Scholar
• Kelbel, J., and Z. Hanzalek. 2011. “Solving Production Scheduling with Earliness Tardiness Penalties by Constraint Programming.” Journal of Intelligent Manufacturing 22: 553–562.
   Web of Science ®Google Scholar
• Li, N., L. Chen, and S. H. Low. 2011. “Optimal Demand Response Based on Utility Maximization in Power Networks.” Paper presented at the Power and Energy Society General Meeting, 2011 IEEE, San Diego, CA.
   Google Scholar
• Moghaddam, A. A., A. Seifi, T. Niknam, and M. R. A. Pahlavani. 2011. “Multi-objective Operation Management of a Renewable MG (micro-grid) Back-up Micro-turbine/Fuel cell/Battery Hybrid Power Source.” Energy 36 (11): 6490–6507.
   Web of Science ®Google Scholar
• Moon, J. Y., H. Na, B. K. Choi, and J. Park. 2011. “Modeling and Optimization of Unrelated Parallmachine Scheduling Problem with Time-dependent and Machine-dependent Electricity Cost.” Paper presented at the International Conference on the Advances in Production Management Systems, Stavanger, Norway, September 26--28.
   Google Scholar
• Moradi, E., S. M. T. Fatemi Ghomi, and M. Zandieh. 2011. “Bi-objective Optimization Research on Integrated Fixed Time Interval Preventive Maintenance and Production for Scheduling Flexible Job-shop Problem.” Expert Systems with Applications 38 (6): 7169–7178.
   Web of Science ®Google Scholar
• Nilsson, K. 1993. “Industrial Production Planning with Optimal Electricity Cost.” Energy Conversion and Management 34 (3): 153–158.
   Web of Science ®Google Scholar
• Nilsson, K., and M. Soderstrom. 1993. “Industrial Applications of Production Planning with Optimal Electricity Demand.” Applied Energy 46 (2): 181–192.
   Web of Science ®Google Scholar
• Pazzella, F., G. Morganti, and G. Ciaschetti. 2007. “A Genetic Algorithm for the Flexible Job-shop Scheduling Problem.” Computers and Operations Research 35 (10): 3202–3212.
   Web of Science ®Google Scholar
• Sanseverino, E. R., M. L. D. Silvestre, M. G. Ippolito, A. D. Paola, and G. L. Re. 2011. “An Execution, Monitoring and Replanning Approach for Optimal Energy Management in Micro Grids.” Energy 36 (5): 3429–3436.
   Web of Science ®Google Scholar
• Xia, W. J., and Z. M. Wu. 2005. “An Effective Hybrid Optimization Approach for Multi-objective Flexible Job-shop Scheduling Problems.” Computers & Industrial Engineering 48 (2): 409–425.
   Web of Science ®Google Scholar
• Yusta, J. M., F. Torres, and H. M. Khodr. 2010. “Optimal Methodology for a Machining Process Scheduling in Spot Electricity Markets.” Energy Convers Manage 51: 2647–2654.
   Web of Science ®Google Scholar
• Zhang, G., X. Shao, P. Li, and L. Gao. 2009. “An Effective Hybrid Particle Swarm Optimization Algorithm for Multi-objective Flexible Job-shop Scheduling Problem.” Computers & Industrial Engineering 56: 1309–1318.
   Web of Science ®Google Scholar