[ 1 ] Harjunkoski I, Maravelias CT, Bongers P, Castro PM, Engell S, Grossmann IE, et al.Scope for industrial applications of production scheduling models and solution methods. Comput Chem Eng 2014;62:161–93 链接1

[ 2 ] Méndez CA, Grossmann IE, Harjunkoski I, Kaboré P. A simultaneous optimization approach for off-line blending and scheduling of oil-refinery operations. Comput Chem Eng 2006;30(4):614–34 链接1

[ 3 ] Li J, Karimi I. Scheduling gasoline blending operations from recipe determination to shipping using unit slots. Ind Eng Chem Res 2011;50(15):9156–74 链接1

[ 4 ] Li J, Xiao X, Floudas CA. Integrated gasoline blending and order delivery operations: Part I. Short-term scheduling and global optimization for single and multi-period operations. AIChE J 2016;62(6):2043–70 链接1

[ 5 ] Singh A, Forbes JF, Vermeer PJ, Woo SS. Model-based real-time optimization of automotive gasoline blending operations. J Process Contr 2000;10(1):43–58 链接1

[ 6 ] Joly M, Pinto JM. Mixed-integer programming techniques for the scheduling of fuel oil and asphalt production. Chem Eng Res Des 2003;81(4):427–47 链接1

[ 7 ] Floudas CA, Lin X. Continuous-time versus discrete-time approaches for scheduling of chemical processes: A review. Comput Chem Eng 2004;28(11):2109–29 链接1

[ 8 ] Sundaramoorthy A, Maravelias CT. Computational study of network-based mixed-integer programming approaches for chemical production scheduling. Ind Eng Chem Res 2011;50(9):5023–40 链接1

[ 9 ] Maravelias CT. General framework and modeling approach classification for chemical production scheduling. AIChE J 2012;58(6):1812–28 链接1

[10] Jia Z, Ierapetritou M. Mixed-integer linear programming model for gasoline blending and distribution scheduling. Ind Eng Chem Res 2003;42(4):825–35 链接1

[11] Jia Z, Ierapetritou M. Efficient short-term scheduling of refinery operations based on a continuous time formulation. Comput Chem Eng 2004;28(6–7):1001–19 链接1

[12] Glismann K, Gruhn G. Short-term scheduling and recipe optimization of blending processes. Comput Chem Eng 2001;25(4–6):627–34 链接1

[13] Li J, Karimi I, Srinivasan R. Recipe determination and scheduling of gasoline blending operations. AIChE J 2010;56(2):441–65.

[14] Castillo PAC, Mahalec V. Inventory pinch based, multiscale models for integrated planning and scheduling—Part II: Gasoline blend scheduling. AIChE J 2014;60(7):2475–97 链接1

[15] Castillo PAC, Mahalec V. Inventory pinch gasoline blend scheduling algorithm combining discrete- and continuous-time models. Comput Chem Eng 2016;84:611–26 链接1

[16] Castillo PAC, Mahalec V. Improved continuous-time model for gasoline blend scheduling. Comput Chem Eng 2016;84:627–46 链接1

[17] Lotero I, Trespalacios F, Grossmann IE, Papageorgiou DJ, Cheon MS. An MILP-MINLP decomposition method for the global optimization of a source based model of the multiperiod blending problem. Comput Chem Eng 2016;87:13–35 链接1

[18] Castro PM. New MINLP formulation for the multiperiod pooling problem. AIChE J 2015;61(11):3728–38 链接1

[19] Kolodziej SP, Grossmann IE, Furman KC, Sawaya NW. A discretization-based approach for the optimization of the multiperiod blend scheduling problem. Comput Chem Eng 2013;53:122–42 链接1

[20] Cerdá J, Pautasso PC, Cafaro DC. A cost-effective model for the gasoline blend optimization problem. AIChE J 2016;62(9):3002–19 链接1

[21] Cerdá J, Pautasso PC, Cafaro DC. Optimizing gasoline recipes and blending operations using nonlinear blend models. Ind Eng Chem Res 2016;55(28):7782–800 链接1

[22] Tawarmalani M, Sahinidis NV. A polyhedral branch-and-cut approach to global optimization. Math Program 2005;103(2):225–49 链接1

[23] Misener R, Floudas CA. ANTIGONE: Algorithms for continuous/integer global optimization of nonlinear equations. J Glob Optim 2014;59(2):503–26 链接1

[24] Boland N, Kalinowski T, Rigtering F. New multi-commodity flow formulations for the pooling problem. J Glob Optim 2016;66(4):669–710 链接1

[25] Sherali HD, Alameddine A. A new reformulation-linearization technique for bilinear programming problems. J Glob Optim 1992;2(4):379–410 链接1

[26] Ryoo HS, Sahinidis NV. A branch-and-reduce approach for global optimization. J Glob Optim 1996;8(2):107–38 链接1

[27] Smith EMB, Pantelides CC. Global optimization of nonconvex MINLPs. Comput Chem Eng 1997;21(Suppl):S791–6 链接1

[28] Belotti P, Lee J, Liberti L, Margot F, W?chter A. Branching and bounds tightening techniques for non-convex MINLP. Optim Methods Softw 2009;24(4–5):597–634 链接1

[29] Achterberg T. SCIP: Solving constraint integer programs. Math Program Comput 2009;1(1):1–41 链接1

[30] Castro PM. Spatial branch-and-bound algorithm for MIQCPs featuring multiparametric disaggregation. Optim Methods Softw. Epub 2016 Dec 13 链接1

[31] Castillo PC, Castro PM, Mahalec V. Global optimization algorithm for large-scale refinery planning models with bilinear terms. Ind Eng Chem Res 2017;56(2):530–48 链接1

[32] McCormick GP. Computability of global solutions to factorable nonconvex programs: Part I—Convex underestimating problems. Math Program 1976;10(1):147–75 链接1

[33] Karuppiah R, Grossmann IE. Global optimization for the synthesis of integrated water systems in chemical processes. Comput Chem Eng 2006;30(4):650–73 链接1

[34] Castro PM. Tightening piecewise McCormick relaxations for bilinear problems. Comput Chem Eng 2015;72:300–11 链接1

[35] Misener R, Thompson JP, Floudas CA. APOGEE: Global optimization of standard, generalized, and extended pooling problems via linear and logarithmic partitioning schemes. Comput Chem Eng 2011;35(5):876–92 链接1

[36] Kolodziej S, Castro PM, Grossmann IE. Global optimization of bilinear programs with a multiparametric disaggregation technique. J Glob Optim 2013;57(4):1039–63 链接1

[37] Castro PM. Normalized multiparametric disaggregation: An efficient relaxation for mixed-integer bilinear problems. J Glob Optim 2016;64(4):765–84 链接1

[38] Castro PM, Grossmann IE. Global optimal scheduling of crude oil blending operations with RTN continuous-time and multiparametric disaggregation. Ind Eng Chem Res 2014;53(39):15127–45 链接1

[39] Castro PM. Source-based discrete and continuous-time formulations for the crude oil pooling problem. Comput Chem Eng 2016;93:382–401 链接1

[40] Castillo PAC, Mahalec V, Kelly JD. Inventory pinch algorithm for gasoline blend planning. AIChE J 2013;59(10):3748–66 链接1

[41] Healy WC, Maassen CW, Peterson RT. A new approach to blending octanes. In: Proceedings of the 24th Midyear Meeting of American Petroleum Institute’s Division of Refining; 1959 May 27; New York, US; 1959. p. 132–136.

[42] Castro PM, Grossmann IE. Optimality-based bound contraction with multiparametric disaggregation for the global optimization of mixed-integer bilinear problems. J Glob Optim 2014;59(2):277–306 链接1

[43] Kallrath J. Planning and scheduling in the process industry. OR Spectrum 2002;24(1):219–250 链接1