An energy-responsive optimization method for machine tool selection and operation sequence in flexible machining job shops

Journal of Cleaner Production

Volumn 87, Issue C, 2015, Pages 245-254

  He, Yan ^a,b   Li, Yufeng ^a   Wu, Tao ^c   Sutherland, John W ^b  

^a CHONGQING UNIVERSITY   (China)

^b Purdue University   (United States)

^c Apollo Group   (United States)

Author keywords

Energy saving; Flexible job shops; Machine tool selection; Nested partitions; Operation sequence

Indexed keywords

ENERGY CONSERVATION; ENERGY UTILIZATION; INTEGER PROGRAMMING; MACHINE SHOPS; MACHINE TOOLS; NP-HARD;

ENVIRONMENTAL BURDENS; FLEXIBLE JOB SHOPS; MACHINE TOOL SELECTION; MACHINE TOOL SYSTEMS; MACHINING OPERATIONS; MIXED INTEGER PROGRAMMING; NESTED PARTITIONS; OPERATION SEQUENCES;

JOB SHOP SCHEDULING;

EID: 84925331852     PISSN: 09596526     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclepro.2014.10.006     Document Type: Article

References (23)

1. Bladh, I., 2009. Energy Efficiency in Manufacturing. Berlin, German.
2. Bruzzone, A.A.G., Anghinolfi, D., Paolucci, M., Tonelli, F., 2012. Energy-aware scheduling for improving manufacturing process sustainability: a mathematical model for flexible flow shops. CIRP Annals Manuf. Technol. 61, 459-462.
3. Chen, G.R., Liang, L., Arinez, J., Biller, S., 2013. Energy-efficient production systems through schedule-based operations. IEEE Trans. Automat. Sci. Eng. 10 (1), 27-37.
4. Dahmus, J.B., Gutowski, T.G., 2004. An environmental analysis of machining. In: 2004 ASME International Mechanical Engineering Congress and RD&D Expo, 13-19 November California. ASME, New York, pp. 1-10.
5. Dai, M., Tang, D., Giret, A., Salido, M.A., et al., 2013. Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm. Robotics Comp. Integr. Manuf. 29, 418-442.
6. Duflou, J.R., Sutherland, J.W., 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 Manuf. Technol. 61, 587-609.
7. Drake, R., Yildirim, M.B., Twomey, J., Whitman, L., Ahmad, J., Lodhia, P., 2006. Data collection frame-work on energy consumption in manufacturing. In: Proceedings of 2006 Institute of Industrial Engineering Research Conference, Orlando, Florida, USA. 20-24 May, pp. 1-5.
8. Fadi, S., Joaquin, O., Alvaro, G., Miguel, O., 2014. Optimizing the production scheduling of a single machine to minimize total energy consumption costs. J. Clean. Prod. 67, 197-207.
9. Fang, K., Uhan, N., Zhao, F., Sutherland, J.W., 2011a. A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction. SME J. Manuf. Syst. 30, 234-240.
10. Fang, K., Uhan, N., Zhao, F., Sutherland, J.W., 2011b. A new shop scheduling approach in support of sustainable manufacturing. In: Hesselbach, J., Herrmann, C. (Eds.), Glocalized Solutions for Sustainability in Manufacturing, Proceedings of the 18th CIRP International Conference on Life Cycle Engineering, 2-4 May 2011, Braunschweig, Germany. Spinger-Verlag, Berlin, pp. 305-310.
11. Gutowski, T., Murphy, C., Allen, D., Bauer, D., Bras, B., Piwonka, T., Sheng, P., Sutherland, J., Thurston, D., Wolff, E., 2005. Environmentally benign manufacturing: observations from Japan, Europe and the United States. J. Clean. Prod. 13 (1), 1-17.
12. Gutowski, T., Dahmus, J., Thiriez, A., 2006. Electrical energy requirements for manufacturing processes. In: 13th CIRP International Conference on Life Cycle Engineering, Leuven, Belgium, vol. 5, pp. 560-564.
13. Herrmann, C., Thiede, S., 2009. Process chain simulation to foster energy efficiency in manufacturing. CIRP J. Manuf. Sci. Technol. 1 (4), 221-229.
14. He, Y., Liu, F., 2010. Methods for integrating energy consumption and environmental impact considerations into the production operation of machining processes. Chin. J. Mech. Eng. 23 (4), 428-435.
15. Liu, C., Yang, J., Lian, J., Li, W., Evans, S., Yin, Y., 2014a. Sustainable performance oriented operational decision-making of single machine systems with deterministic product arrival time. J. Clean. Prod. 85, 318-330. http://dx.doi.org/10.1016/j.jclepro.2014.07.025.
16. Liu, Y., Dong, H., Lohse, N., Petrovic, S., Gindy, N., 2014b. An investigation into minimising total energy consumption and total weighted tardiness in job shops. J. Clean. Prod. 65, 87-96.
17. Mouzon, G., Yildirim, M.B., Twomey, J., 2007. Operational methods for minimization of energy consumption of manufacturing equipment. Int. J. Prod. Res. 45 (18-19), 4247-4271.
18. Mouzon, G.C., Yildirim, M.B., 2008. A framework to minimize total energy consumption and total tardiness on a single machine. Int. J. Sustain. Eng. 1 (2), 105-116.
19. Rajemi, M.F., Mativenga, P.T., Aramcharoen, A., 2010. Sustainable machining selection of optimum turning conditions based on minimum energy considerations. J. Clean. Prod. 18 (10), 1059-1065.
20. Shi, L., 2000. Nested partitions method for global optimization. Oper. Res. 48, 390-407.
21. Weinert, N., Chiotellis, S., Seliger, G., 2011. Methodology for planning and operating energy-efficient production systems. CIRP Annals. Manuf. Technol. 60, 41-44.
22. Wu, T., Shi, L., Duffie, N.A., 2010. An HNP-MP approach for the capacitated multiitem lot sizing problem with setup times. IEEE Trans. Autom. Sci. Eng. 7 (3), 500-511.
23. Yau, H., Shi, L., 2009. Nested partitions for the large-scale extended job shop scheduling problem. Ann. Oper. Res. 168 (1), 23-39.