Efficient mathematical frameworks for detailed production scheduling in food processing industries

Computers and Chemical Engineering

Volumn 42, Issue , 2012, Pages 206-216

  Kopanos, Georgios M ^a   Puigjaner, Luis ^a   Georgiadis, Michael C ^b  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Food industry; Ice cream production; Mixed integer programming; Production scheduling

Indexed keywords

COMPUTATIONAL PERFORMANCE; COMPUTATIONAL REQUIREMENTS; CONTINUOUS TIME MODELS; FOOD INDUSTRIES; FOOD PROCESS; FOOD PROCESSING INDUSTRY; GLOBAL OPTIMALITY; INTEGRATED MODELING; MATHEMATICAL FRAMEWORKS; MIXED INTEGER PROGRAMMING; MIXED INTEGER PROGRAMMING (MIP); MODELING APPROACH; PROBLEM INSTANCES; PROCESSING SCHEDULING; PROCESSING STAGE; PRODUCTION FACILITY; PRODUCTION PROBLEMS; PRODUCTION SCHEDULING; PRODUCTION STAGE; SIMULTANEOUS OPTIMIZATION; SOLUTION STRATEGY;

OPTIMIZATION; PRODUCTION ENGINEERING; STAGES;

FOOD PROCESSING;

EID: 84861576506     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2011.12.015     Document Type: Article

References (16)

1. Amorim P., Antunes C.H., Almada-Lobo B. Multi-objective lot-sizing and scheduling dealing with perishability issues. Industrial & Engineering Chemistry Research 2011, 50(6):3371-3381.
2. Bongers P.M.M., Bakker B.H. Application of multi-stage scheduling. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering. Vol. 21 of Computer Aided Chemical Engineering 2006, 1917-1922. Elsevier. W. Marquardt, C.C. Pantelides (Eds.).
3. Entrup M.L., Günther H.-O., Van Beek P., Grunow M., Seiler T. Mixed-integer linear programming approaches to shelf-life-integrated planning and scheduling in yoghurt production. International Journal of Production Research 2005, 43(23):5071-5100.
4. Gellert T., Höhn W., Moehring R.H. Sequencing and scheduling for filling lines in dairy production. Optimization Letters 2011, 5(3):491-504.
5. Kallrath J. Planning and scheduling in the process industry. OR Spectrum 2002, 24(3):219-250.
6. Kopanos G.M., Méndez C.A., Puigjaner L. MIP-based decomposition strategies for large-scale scheduling problems in multiproduct multistage batch plants: A benchmark scheduling problem of the pharmaceutical industry. European Journal of Operational Research 2010, 207(2):644-655.
7. Kopanos G.M., Puigjaner L., Georgiadis M.C. Optimal production scheduling and lot-sizing in dairy plants: The yogurt production line. Industrial Engineering & Chemistry Research 2010, 49(2):701-718.
8. Kopanos G.M., Puigjaner L., Georgiadis M.C. Production scheduling in multiproduct multistage semicontinuous food processes. Industrial Engineering & Chemistry Research 2011, 50(10):6316-6324.
9. Kopanos G.M., Puigjaner L., Georgiadis M.C. Resource-constrained production planning in semicontinuous food industries. Computers & Chemical Engineering 2011, 35(12):2929-2944.
10. Maravelias C.T., Sung C. Integration of production planning and scheduling: Overview, challenges and opportunities. Computers & Chemical Engineering 2009, 33(12):1919-1930.
11. Marinelli F., Nenni M.E., Sforza A. Capacitated lot sizing and scheduling with parallel machines and shared buffers: A case study in a packaging company. Annals of Operations Research 2007, 150(1):177-192.
12. Méndez C.A., Cerdá J. Dynamic scheduling in multiproduct batch plants. Computers & Chemical Engineering 2003, 27(8-9):1247-1259.
13. Méndez C.A., Cerdá J., Grossmann I.E., Harjunkoski I., Fahl M. Review: State-of-the-art of optimization methods for short-term scheduling of batch processes. Computers & Chemical Engineering 2006, 30(6-7):913-946.
14. Rosenthal R.E. GAMS - A User's Guide 2010, GAMS Development Corporation, Washington, DC, USA.
15. Röslof J., Harjunkoski I., Björkqvist J., Karlsson S., Westerlund T. An MILP-based reordering algorithm for complex industrial scheduling and rescheduling. Computers & Chemical Engineering 2001, 25(4-6):821-828.
16. Subbiah S., Schoppmeyer C., Engell S. An intuitive and efficient approach to process scheduling with sequence-dependent changeovers using timed automata models. Industrial & Engineering Chemistry Research 2011, 50(9):5131-5152.