The extended resource task network: A framework for the combined scheduling of batch processes and CHP plants

International Journal of Production Research

Volumn 50, Issue 3, 2012, Pages 623-646

  Thery R ^a   Hetreux G ^a   Agha, M H ^a   Hat, A ^b   Le Lann, J M ^a  

^a UNIVERSITÉ DE TOULOUSE   (France)

^b UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

batch scheduling; energy management; extended resource task network (ERTN); mixed integer linear programming (MILP); utility system

Indexed keywords

BATCH PROCESS; BATCH PRODUCTION; BATCH-SCHEDULING; CHP PLANT; COMBINED HEAT AND POWER SYSTEM; DECISION MAKING PROCESS; GRAPHICAL FORMALISMS; INDUSTRIAL PROBLEM; INDUSTRIAL SITES; INDUSTRIAL UNITS; INTEGRATED APPROACH; INTEGRATED PRODUCTION; MASTER-SLAVE; MATHEMATICAL TOOLS; MILP FORMULATION; MIXED-INTEGER LINEAR PROGRAMMING; OPERATING CAPACITY; POTENTIAL SOURCES; RESOURCE TASK NETWORK; SEMANTIC ELEMENT; UTILITY SYSTEMS;

BATCH DATA PROCESSING; ENERGY MANAGEMENT; INDUSTRY; POWER GENERATION; SCHEDULING; SEMANTICS;

SCHEDULING ALGORITHMS;

EID: 84859950122     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2010.545444     Document Type: Article

References (16)

1. Agha, M.H., 2009. Integrated Management of energy and production: scheduling of batch processes and CHP plants. Thesis (PhD). INP Toulouse.
2. Agha, M.H., et al., 2009. Algorithm for integrated production and utility system scheduling of batch plants. Computer Aided Chemical Engineering, 27, 1497-1502.
3. Agha, M.H., et al., 2010. Integrated production and utility system approach for optimising industrial unit operation. Energy, 35, 611-627.
4. Burkard, R.E. and Hatzl, J., 2005. Review, extensions and computational comparison of MILP formulations for scheduling of batch processes. Computers and Chemical Engineering, 29, 1752-1769. (Pubitemid 41054211)
5. Behdani, B., Pishvaie, M.R., and Rashtchian, D., 2007. Optimal scheduling of mixed batch and continuous processes incorporating utility aspects. Chemical Engineering and Processing, 46 (4), 271-281. (Pubitemid 46149118)
6. Grenelle de l'Environnement, 2009, Lutter contre les changements climatiques et maîtriser l'énergie [online]. Available from: http://www.legrenelle-environnement.fr [Accessed June 2011].
7. Floudas, C.A. and Lin, X., 2004. Continuous-time versus discrete-time approaches for scheduling of chemical processes: A review. Computers and Chemical Engineering, 28, 2109-2129. (Pubitemid 39094063)
8. Hétreux, G., et al., 2010. Environnement de simulation dynamique hybride: application aux procédé s discontinus. Conférence MOSIM'10, Proceedings of the 8th ENIM-IFAC international conference on modeling and simulation, 10-12 May 2010, Hammamet, Tunisie, 1150-1159.
9. Kjaerheim, G., 2005. Cleaner production and sustainability. Journal of Cleaner Production, 13 (4), 329-339.
10. Kallrath, J., 2002. Planning and scheduling in the process industry. OR Spectrum, 24, 219-250.
11. Kondili, E., Pantelides, C.C. and Sargent, W.H., 1988. A general algorithm for scheduling batch operations. 3rd international symposium process systems engineering, Sydney, Australia. Barton, ACT: Institution of Engineers, Australia, 62-75.
12. Kuehr, R., 2006. Towards a sustainable society: United Nations University's zero emissions approach. Journal of Cleaner Production, 15 (13-14), 1198-1204. (Pubitemid 46476860)
13. Méndez, C.A., et al., 2006. State-of-the-art review of optimisation methods for short-term scheduling of batch processes. Computers and Chemical Engineering, 30 (6-7), 913-946. (Pubitemid 44304455)
14. Pantelides, C.C., 1994. Unified framework for the optimal process planning and scheduling. Proceedings of the 2nd conference on foundations of computer aided operations. New York: CACHE Publications, 253-274.
15. Soylu, A., et al., 2006. Synergy analysis of collaborative supply chain management in energy systems using multi-period MILP. European Journal of Operation Research, 174 (1), 387-403. (Pubitemid 44883184)
16. Zhang, B.J. and Hua, B., 2005. Effective MILP model for oil refinery-wide production planning and better energy utilisation. Journal of Cleaner Production, 15, 439-448. (Pubitemid 44828483)