Facing energy-aware scheduling: a multi-objective extension of a scheduling support system for improving energy efficiency in a moulding industry

Soft Computing

Volumn 21, Issue 13, 2017, Pages 3687-3698

  Paolucci, Massimo ^a   Anghinolfi, Davide ^a   Tonelli, Flavio ^b  

^a UNIVERSITY OF GENOA   (Italy)

^b UNIVERSITY OF GENOA   (Italy)

Author keywords

Energy efficiency; Injection moulding; Metaheuristics; Scheduling

Indexed keywords

ENERGY UTILIZATION; HEURISTIC METHODS; INJECTION MOLDING; MOLDING; POWER MANAGEMENT; SCHEDULING;

ENERGY-AWARE SCHEDULING; EXPERIMENTAL ASSESSMENT; MANUFACTURING INDUSTRIES; META HEURISTICS; MULTI-OBJECTIVE METAHEURISTICS; MULTI-OBJECTIVE SCHEDULING; SPECIFIC ENERGY CONSUMPTION; TOTAL-WEIGHTED TARDINESS;

ENERGY EFFICIENCY;

EID: 84950244160     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-015-1987-8     Document Type: Article

References (35)

1. Bruzzone AAG, Anghinolfi D, Paolucci M, Tonelli F (2012) Energy-aware scheduling for improving manufacturing process sustainability: a mathematical model for flexible flow shops. CIRP Ann Manuf Technol 61(1):459–462
2. Dai M, Tang D, Giret A, Salido MA, Li WD (2013) Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm. Robot Comput Integr Manuf 29:418–429
3. Despeisse M, Ball PD, Evans S, Levers A (2012) Industrial ecology at factory level—a conceptual model. J Clean Prod 31:30–39
4. Fang K, Uhan N, Zhao F, Sutherland JW (2011) A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction. J Manuf Syst 30:234–240
5. Hall NG, Posner ME (2001) Generating experimental date for computational testing with machine scheduling applications. Oper Res 49:854–865
6. Hoogeveen H (2005) Multicriteria scheduling. Eur J Oper Res 167:592–623
7. Jovane F, Yoshikawa H, Alting L, Bor CR et al (2008) The incoming global technological and industrial revolution towards competitive sustainable manufacturing. CIRP Ann Manuf Technol 57(2):641–659
8. Kostka G, Moslener U, Andreas J (2013) Barriers to increasing energy efficiency: evidence from small- and medium-sized enterprises in China. J Clean Prod 57:59–68
9. Kuster T, Lutzenberger M, Freund D, Albayrak S (2013) Distributed evolutionary optimisation for electricity price responsive manufacturing using multi-agent system technology. Int J Adv Intell Syst 6(1–2):27–40
10. Langer T, Schlegel A, Stoldt J, Putz M (2014) A model-based approach to energy-saving manufacturing control strategies. Procedia CIRP 15:123–128
11. Lawler EL (1997) A pseudopolynomial algorithm for sequencing jobs to minimize total tardiness. Ann Discret Math 1:331–342
12. Le CV, Pang CK (2013) Fast reactive scheduling to minimize tardiness penalty and energy cost under power consumption uncertainties. Comput Ind Eng 66:406–417
13. Liu Y, Dong H, Lohse N, Petrovic S, Gindy N (2013) An investigation into minimising total energy consumption and total weighted tardiness in job shops. J Clean Prod 65:87–96
14. Lu N, Gong G, Yang Y, Lu J (2012) Multi-objective process parameter optimization for energy saving in injection moulding process. J Zhejiang Univ Sci A 13(5):382–394
15. Luo H, Du B, Huang GQ, Chen H, Li X (2013) Hybrid flow shop scheduling considering machine electricity consumption cost. Int J Prod Econ 146:423–439
16. Mattis J, Sheng P, DiScipio W, Leong K (1996) A framework for analysing energy efficient injection-molding die casting. In: IEEE International conference on electronics and the environment. Dallas, TX, pp 207–212
17. Michaloski JL, Shao G, Arinez J, Lyons K, Leong S, Riddick F (2011) Analysis of sustainable manufacturing using simulation for integration of production and building service. In: SimAUD 2011 symposium on simulation for architecture and urban design, pp 93–101
18. Mitra S, Grossmann IE, Pinto JM, Arora N (2012) Optimal production planning under time-sensitive electricity prices for continuous power-intensive processes. Comput Chem Eng 38:171–184
19. Moon JY, Shin K, Park J (2013) Optimization of production scheduling with time-dependent and machine-dependent electricity cost for industrial energy efficiency. Int J Adv Manuf Technol 68(1–4):523–535
20. Mouzon G, Yildirim MB, Twomey J (2007) Operational methods for minimization of energy consumption of manufacturing equipment. Int J Prod Res 45:4247–4271
21. Mukherjee K (2008) Energy use efficiency in U.S. manufacturing: a nonparametric analysis. Energy Econ 30:76–96
22. Nilakantan JM, Huang GQ, Ponnambalam SG (2015) An investigation on minimizing cycle time and total energy consumption in robotic assembly line systems. J Clean Prod 90:311–325
23. Pinedo ML (2012) Scheduling—theory, algorithms, and systems, 4th edn. Springer, New York
24. Seow Y, Rahimifard S (2011) A framework for modelling energy consumption within manufacturing systems. CIRP J Manuf Sci Technol 4(3):258–264
25. Shrouf F, Ordieres-Meré J, García-Sánchez A, Ortega-Mier M (2014) Optimizing the production scheduling of a single machine to minimize total energy consumption costs. J Clean Prod 67:197–207
26. Soroush HM (2010) Solving a stochastic single machine problem with initial idle time and quadratic objective. Comput Oper Res 37:1328–1347
27. Sutherland JW, Rivera JL, Brown KL, Law M et al (2008), Challenges for the manufacturing enterprise to achieve sustainable development. In: Mitsuishi M, Ueda K, Kimura F (eds) Manufacturing systems and technologies for the new frontier. 41st CIRP conference on manufacturing systems, pp 15–18
28. Taticchi P, Tonelli F, Pasqualino R (2013) Performance measurement of sustainable supply chains: a literature review and a research agenda. Int J Product Perform Manag 62(8):782–804
29. Thiriez A, Dahmus J, Gutowski T (2006) Electrical energy requirements for manufacturing processes. In: 13th CIRP international conference on life cycle engineering (LCE), Leuven, Belgium pp 623-628
30. Thollander P, Rohdin P, Moshfegh B, Karlsson M, Sderstrm M, Trygg L (2013) Energy in Swedish industry 2020—current status, policy instruments, and policy implications. J Clean Prod 51:109–117
31. Tonelli F, Evans S, Taticchi P (2013) Industrial sustainability: challenges, perspectives, actions. Int J Bus Innov Res 7(2):143–163
32. United Nations (1998) Kyoto protocol to the United Nations framework convention on climate change. UN Treaty Database. http://unfccc.int/resource/docs/convkp/kpeng.pdf
33. Weinert N, Chiotellis S, Seliger G (2011) Methodology for planning and operating energy-efficient production systems. CIRP Ann Manuf Technol 60:41–44
34. Yan H, Fei L, Hua-jun C, Cong-bo L (2005) A bi-objective model for job-shop scheduling problem to minimize both energy consumption and makespan. J Cent South Univ Technol 12(2):167–171
35. Yi Q, Li C, Tang Y, Member S (2012) A new operational framework to job shop scheduling for reducing carbon emissions. In: 8th IEEE international conference on automation science and engineering, pp 58–63