|
Agnetis A., Flamini M., Nicosia G. & Pacifici A. (2011). A job-shop problem with one additional resource type. Journal of Scheduling 14(3), 225–237. |
|
Allahverdi A., Ng C.T., Cheng T.C.E. & Kovalyov M. (2008). A survey of scheduling problems with setup times or costs. European Journal of Operational Research 187(3), 985–1032. |
|
Bartak R., Salido M. & Rossi F. (2010). New trends in constraint satisfaction, planning, and scheduling: a survey. The Knowledge Engineering Review 25(3), 249–279. |
|
Beasley D., Martin R. & Bull D. (1993). An overview of genetic algorithms: part 1. Fundamentals. University Computing 15, 58–58. |
|
Billaut J., Moukrim A. & Sanlaville E. (2008). Flexibility and Robustness in Scheduling. Wiley. |
|
Blazewicz J., Cellary W., Slowinski R. & Weglarz J. (1986). Scheduling under resource constraints-deterministic models. Annals of Operations Research 7, 1–356. |
|
Bruzzone A., 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(1), 459–462. |
|
Dahmus J. & Gutowski T. 2004. An environmental analysis of machining. In ASME International Mechanical Engineering Congress and RD&D Exposition. |
|
Dai M., Tang D., Giret A., Salido M.A. & Li W. (2013). Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm. Robotics and Computer-Integrated Manufacturing 29(5), 418–429. |
|
Duflou J., Sutherland J., Dornfeld D., Herrmann C., Jeswiet J., Kara S., Hauschild M. & Kellens K. (2012). Towards energy and resource efficient manufacturing: a processes and systems approach. CIRP Annals-Manufacturing Technology 61(2), 587–609. |
|
Escamilla J., Salido M. A., Giret A. & Barber F. (2014). A metaheuristic technique for energy-efficiency in job-shop scheduling. In COPLAS’ 2014: ICAPS Workshop on Constraint Satisfaction Techniques for Planning and Scheduling, 42–50. |
|
Fang K., Uhan N., Zhao F. & Sutherland J. (2011). A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction. Journal of Manufacturing Systems 30(4), 234–240. |
|
Garrido A., Salido M. A., Barber F. & Lopez M. (2000). Heuristic methods for solving job-shop scheduling problems. In ECAI-2000 Workshop on New Results in Planning, Scheduling and Design, 36–43. |
|
Huang K. & Liao C. 2008. Ant colony optimization combined with taboo search for the job shop scheduling problem. Computers & Operations Research 35(4), 1030–1046. |
|
IBM 2007. Modeling with IBM ILOG CP optimizer – practical scheduling examples. IBM. |
|
Laborie P. 2009. IBM ILOG CP optimizer for detailed scheduling illustrated on three problems. In Proceedings of the 6th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR09), 148–162. |
|
Li W., Zein A., Kara S. & Herrmann C. (2011). An investigation into fixed energy consumption of machine tools. In Glocalized Solutions for Sustainability in Manufacturing, Hesselbach, J. & Herrmann, C. (eds), 268–273. Springer. |
|
Malakooti B., Sheikh S., Al-Najjar C. & Kim H. (2013). Multi-objective energy aware multiprocessor scheduling using bat intelligence. Journal of Intelligent Manufacturing 24(4), 805–819. |
|
Mestl H. E., Aunan K., Fang J., Seip H. M., Skjelvik J. M. & Vennemo H. (2005). Cleaner production as climate investment integrated assessment in Taiyuan City, China. Journal of Cleaner Production 13(1), 57–70. |
|
Mouzon G. & Yildirim M. 2008. A framework to minimise total energy consumption and total tardiness on a single machine. International Journal of Sustainable Engineering 1(2), 105–116. |
|
Mouzon G., Yildirim M. & Twomey J. (2007). Operational methods for minimization of energy consumption of manufacturing equipment. International Journal of Production Research 45(18–19), 4247–4271. |
|
Neugebauer R., Wabner M., Rentzsch H. & Ihlenfeldt S. (2011). Structure principles of energy efficient machine tools. CIRP Journal of Manufacturing Science and Technology 4(2), 136–147. |
|
Salido M. A., Escamilla J., Barber F., Giret A., Tang D. & Dai M. (2013). Energy-aware parameters in job-shop scheduling problems. In GREEN-COPLAS 2013: IJCAI 2013 Workshop on Constraint Reasoning, Planning and Scheduling Problems for a Sustainable Future, 44–53. |
|
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. |
|
Varela R., Serrano D. & Sierra M. (2005). New codification schemas for scheduling with genetic algorithms. In Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach, 11–20. Springer. |
|
Watson J.-P., Barbulescu L., Howe A. E. & Whitley L. D. (1999). Algorithm performance and problem structure for flow-shop scheduling. In AAAI/IAAI, 688–695. |
|
Weinert N., Chiotellis S. & Seliger G. (2011). Methodology for planning and operating energy-efficient production systems. CIRP Annals-Manufacturing Technology 60(1), 41–44. |
|
Yan J. & Li L. 2013. Multi-objective optimization of milling parameters the trade-offs between energy, production rate and cutting quality. Journal of Cleaner Production 52, 462–471. |
|
Yusoff S. 2006. Renewable energy from palm oil—innovation on effective utilization of waste. Journal of Cleaner Production 14(1), 87–93. |