Petroleum allocation at PETROBRAS: Mathematical model and a solution algorithm

Computers and Chemical Engineering

Volumn 33, Issue 12, 2009, Pages 2123-2133

  Rocha, Roger ^a   Grossmann, Ignacio E ^b   Poggi de Aragão, Marcus V S ^c  

^a PETROBRAS   (Brazil)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c PONTIFICAL CATHOLIC UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Local branching procedure; Mixed integer linear programming; Petroleum supply chain

Indexed keywords

ALLOCATION PROBLEMS; DISCRETIZATIONS; FEASIBLE SOLUTION; INDUSTRIAL PROBLEM; INDUSTRIAL SIZE; LOCAL BRANCHING; LOCAL SEARCH; LOCAL SEARCH METHOD; MIXED INTEGER LINEAR PROGRAMMING; OPERATION LEVELS; OPTIMALITY; PETROBRAS; PETROLEUM SUPPLY; SOLUTION ALGORITHMS; SUPPLY PLANNING;

DYNAMIC PROGRAMMING; HEURISTIC ALGORITHMS; INTEGER PROGRAMMING; LINEAR PROGRAMMING; LINEARIZATION; MATHEMATICAL MODELS; OPTIMIZATION; SUPPLY CHAIN MANAGEMENT; SUPPLY CHAINS; UNMANNED AERIAL VEHICLES (UAV);

PETROLEUM REFINING;

EID: 71549131943     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2009.06.017     Document Type: Article

References (15)

1. Brown G., Graves W., and Ronen D. Scheduling ocean transportation of crude oil. Management Science 33 (1987) 335-346
2. Charnes A., Cooper W.W., and Mellon B. Blending aviation gasolines. Econometrica 22 (1952) 135-159
3. Fischetti M., and Lodi A. Local branching. Mathematical Programming 98 (2003) 439-467
4. Forrest J., and Oettli M. Rigorous simulation supports accurate refinery decisions. In: Grossmann I.E., and MacDonald C.M. (Eds). Proceedings of fourth international conference on foundations of computer-aided process operations. Coral Springs, CAChE (2003) 273-280
5. Lasschuit W., and Thijssen N. Supporting supply chain planning and scheduling decisions in the oil and chemical industry. Computers and Chemical Engineering 28 (2004) 863-870
6. Lee H., Pinto J.M., Grossmann I.E., and Park S. Mixed-integer linear programming model for refinery short-term scheduling of crude oil unloading with inventory management. Industrial & Engineering Chemistry Research 35 (1996) 1630-1641
7. Miller D.M. An iterative, computer-aided ship scheduling system. European Journal of Operational Research 32 (1987) 363-379
8. Pinto J.M., Joly M., and Moro L.F.L. Planning and scheduling models for refinery operations. Computers and Chemical Engineering 24 (2000) 2259-2276
9. Pinto J.M., and Neiro S.M.S. A general modeling framework for the operational planning of petroleum supply chains. Computers and Chemical Engineering 28 (2004) 871-896
10. Sysmonds G.H. Linear programming: The solution of refinery problems (1955), Esso Standard Oil Company, New York
11. Wenkai L., Hui C.-W., Hua B., and Tong Z. Scheduling crude oil unloading, storage and processing. Industrial and Engineering Chemistry Research 41 (2003) 6723-6734
12. Wolsey L.A. Integer programming (1998), John Wiley and Sons, New York
13. XPRESS-BCL, (2006). Reference Manual, Dash Optimization, release 3.0.
14. XPRESS-MP, (2007). Optimizer Reference Manual, Dash Optimization, release 18.
15. Yee K.L., and Shah N. Improving the efficiency of discrete time scheduling formulation. Computers and Chemical Engineering 22 (1998) 403-410