A novel rolling horizon strategy for the strategic planning of supply chains. Application to the sugar cane industry of Argentina

Computers and Chemical Engineering

Volumn 35, Issue 11, 2011, Pages 2540-2563

  Kostin, A M ^a   Guillen Gosalbez G ^a   Mele, F D ^b   Bagajewicz, M J ^c   Jimenez L ^a  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

^b UNIVERSIDAD NACIONAL DE TUCUMÁN   (Argentina)

^c University of Oklahoma   (United States)

Author keywords

Bioethanol; Rolling horizon; Sugar cane industry; Supply chain management (SCM)

Indexed keywords

ARGENTINA; COMPUTATIONAL BURDEN; DECISION SUPPORTS; DESIGN PROBLEMS; ECONOMIC PERFORMANCE; INTEGER VARIABLES; MIXED-INTEGER PROGRAMMING; PLANNING MODELS; PUBLIC POLICY MAKERS; RIGOROUS SOLUTION; ROLLING HORIZON; STORAGE FACILITIES; SUPPLY CHAIN MANAGEMENT (SCM);

COMPUTER PROGRAMMING; DECISION SUPPORT SYSTEMS; ETHANOL; INTEGER PROGRAMMING; SUGAR INDUSTRY; SUGARS; SUPPLY CHAIN MANAGEMENT;

SUGAR CANE;

EID: 80052629999     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2011.04.006     Document Type: Article

References (43)

1. Almansoori A., Shah N. Design and operation of a future hydrogen supply chain-Snapshot model. Chemical Engineering Research & Design 2006, 84(A6):423-438.
2. Bagajewicz M. On the use of net present value in investment capacity planning models. Industrial & Engineering Chemistry Research 2008, 47(23):9413-9416.
3. Balasubramanian J., Grossmann I. Approximation to multistage stochastic optimization in multiperiod batch plant scheduling under demand uncertainty. Industrial & Engineering Chemistry Research 2004, 43(14):3695-3713.
4. Bok J., Grossmann I., Park S. Supply chain optimization in continuous flexible process networks. Industrial & Engineering Chemistry Research 2000, 39(5):1279-1290.
5. Chen P., Pinto J.M. Lagrangean-based techniques for the supply chain management of flexible process networks. Computers & Chemical Engineering 2008, 32(11, Sp. Iss. SI):2505-2528.
6. Colin E.C. Mathematical programming accelerates implementation of agro-industrial sugarcane complex. European Journal of Operational Research 2009, 199(1):232-235.
7. Cordeau J., Pasin F., Solomon M.M. An integrated model for logistics network design. Annals of Operations Research 2006, 144(1):59-82.
8. Dimitriadis A., Shah N., Pantelides C. RTN-based rolling horizon algorithms for medium term scheduling of multipurpose plants. Computers & Chemical Engineering 1997, 21(Suppl. S):S1061-S1066.
9. Dogan K., Goetschalckx M. A primal decomposition method for the integrated design of multi-period production-distribution systems. IIE Transactions 1999, 31(11):1027-1036.
10. Dunnett A., Adjiman C., Shah N. A spatially explicit whole-system model of the lignocellulosic bioethanol supply chain an assessment of decentralized processing potential. Biotechnology for Biofuels 2008, 1:13.
11. Elkamel A., Mohindra A. A rolling horizon heuristic for reactive scheduling of batch process operations. Engineering Optimization 1999, 31(6):763-792.
12. Fox M., Barbuceanu M., Teigen R. Agent-oriented supply-chain management. International Journal of Flexible Manufacturing Systems 2000, 12(2-3):165-188.
13. Geoffrion A.M., Graves G. Multicommodity distribution system design by Benders decomposition. Management Science 1974, 20(5):822-844.
14. Grossmann I. Enterprise-wide optimization: A new frontier in process systems engineering. AIChE Journal 2005, 51(7):1846-1857.
15. Grunow M., Guenther H.-O., Westinner R. Supply optimization for the production of raw sugar. International Journal of Production Economics 2007, 110(1-2):224-239.
16. Guillén-Gosálbez G., Espuña A., Puigjaner L. Addressing the scheduling of chemical supply chains under demand uncertainty. AIChE Journal 2006, 52(11):3864-3881.
17. Guillén-Gosálbez G., Grossmann I. A global optimization strategy for the environmentally conscious design of chemical supply chains under uncertainty in the damage assessment model. Computers & Chemical Engineering 2010, 34(1):42-58.
18. Guillén-Gosálbez G., Grossmann I. Optimal design and planning of sustainable chemical supply chains under uncertainty. AIChE Journal 2009, 55(1):99-121.
19. Guillén-Gosálbez G., Mele F., Grossmann I. A bi-criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use. AIChE Journal 2010, 56(3):650-667.
20. Guillén-Gosálbez G., Mele F.D., Espuña A., Puigjaner L. Addressing the design of chemical supply chains under demand uncertainty. Industrial & Engineering Chemistry Research 2006, 45(22):7566-7581.
21. Gupta A., Maranas C. A hierarchical Lagrangean relaxation procedure for solving midterm planning problems. Industrial & Engineering Chemistry Research 1937-1947, 38(5).
22. Higgins A., Laredo L. Improving harvesting and transport planning within a sugar value chain. Journal of the Operational Research Society 2006, 57(4):367-376.
23. Ioannou G. Streamlining the supply chain of the Hellenic sugar industry. Journal of Food Engineering 2005, 70(3):323-332.
24. Kawamura M.S., Ronconi D.P.Y., Yoshizaki H.T.Y. Optimizing transportation and storage of final products in the sugar and ethanol industry: a case study. International Transactions in Operational Research 2006, 13(5):425-439.
25. Laínez J.M., Guillén-Gosálbez G., Badell M., Espuña A., Puigjaner L. Enhancing corporate value in the optimal design of chemical supply chains. Industrial & Engineering Chemistry Research 2007, 46(23):7739-7757.
26. Milán E.L., Fernández S.M., Pla Aragonés L.M. Sugar cane transportation in Cuba, a case study. European Journal of Operational Research 2006, 174(1):374-386.
27. MirHassani S., Lucas C., Mitra G., Messina E., Poojari C. Computational solution of capacity planning models under uncertainty. Parallel Computing 2000, 26(5):511-538.
28. Mula J., Peidro D., Díaz-Madroñero M., Vicens E. Mathematical programming models for supply chain production and transport planning. European Journal of Operational Research 2010, 204(3):377-390.
29. Naraharisetti P., Adhitya A., Karimi I., Srinivasan R. From PSE to PSE2-Decision support for resilient enterprises. Computers & Chemical Engineering 2009, 33(12):1939-1949.
30. Paiva R.P.O., Morabito R. An optimization model for the aggregate production planning of a Brazilian sugar and ethanol milling company. Annals of Operations Research 2009, 169(1):117-130.
31. Papageorgiou L. Supply chain optimisation for the process industries: Advances and opportunities. Computers & Chemical Engineering 1931-1938, 33(12).
32. Paquet M., Martel A., Desaulniers G. Including technology selection decisions in manufacturing network design models. International Journal of Computer Integrated Manufacturing 2004, 17(2):117-125.
33. Preuss L. Addressing sustainable development through public procurement: the case of local government. Supply Chain Management-An International Journal 2009, 14(3):213-223.
34. Puigjaner L., Guillén-Gosálbez G. Towards an integrated framework for supply chain management in the batch chemical process industry. Computers & Chemical Engineering 2008, 32(4-5):650-670.
35. Rosenthal R. GAMS-A user's guide 2008, GAMS Development Corporation.
36. Santoso T., Ahmed S., Goetschalckx M., Shapiro A. A stochastic programming approach for supply chain network design under uncertainty. European Journal of Operational Research 2005, 167(1):96-115.
37. Simchi-Levi D., Kamisky P., Simchi-Levi E. Designing and managing the supply chain. Concepts, strategies, and case studies 2000, Irwin McGraw-Hill.
38. Shreve N., Austin T. Shreve's chemical process industries 1984, McGraw Hill Professional.
39. Uster H., Easwaran G., Akcali E., Cetinkaya S. Benders decomposition with alternative multiple cuts for a multi-product closed-loop supply chain network design model. Naval Research Logistics 2007, 54(8):890-907.
40. Van den Heever S., Grossmann I. A strategy for the integration of production planning and reactive scheduling in the optimization of a hydrogen supply network. Computers & Chemical Engineering 2003, 27(12):1813-1839.
41. Wilkinson, S. (1996). Aggregate formulations for large-scale process scheduling problems. Ph.D. thesis, University of London.
42. Yoshizaki H.T.Y., Muscat A.R.N., Biazzi J.L. Decentralizing ethanol distribution in southeastern Brazil. Interfaces 1996, 26(6):24-34.
43. You F., Grossmann I. Integrated multi-echelon supply chain design with inventories under uncertainty: MINLP models, computational strategies. AIChE Journal 2010, 56(2):419-440.