• Velez S, Merchan AF, Maravelias CT. On the Solution of Large-Scale Mixed-integer Programming Scheduling Models. Chemical Engineering Science, 136, 139-157, 2015.
    (DOI: http://dx.doi.org/10.1016/j.ces.2015.05.021).
  • Han J-H, Sen SM, Luterbacher JS, Martin Alonso D, Dumesic JA, Maravelias CT. Process Systems Engineering Studies for the Synthesis of Catalytic Biomass-to-Fuels Strategies. Computers and Chemical Engineering, 81, 57-69, 2015.
    (DOI: http://dx.doi.org/10.1016/j.compchemeng.2015.04.007).
  • Han J-H, Luterbacher JS, Martin Alonso D, Dumesic JA, Maravelias CT. A Lignocellulosic Ethanol Strategy via Nonenzynmatic Sugar Production: Process Synthesis and Analysis. Bioresource Technology, 182, 258-266, 2015.
    (DOI: http://dx.doi.org/10.1016/j.biortech.2015.01.135).
  • Herron JA, Kim J, Upadhye AA, Huber GW, Maravelias CT. A Generalized Framework for the Assessment of Solar Fuels Technologies. Energy & Environmental Science, 8, 126-157, 2015.
    (DOI: http://dx.doi.org/10.1039/C4EE01958J).
  • Colvin M, Maravelias CT. Pharmaceutical R&D Pipeline Planning. Handbook on Project Management and Scheduling, Vol. 2 (Editors: Schwindt, C, Zimmermann, J.), 1267-1287, Springer, 2015.
    (DOI: https://doi.org/10.1007/978-3-319-05915-0_27)
  • Velez S, Maravelias CT. Theoretical Framework for the Formulation of MIP Scheduling Models with Multiple and Nonuniform Discrete-time Grids. Computers & Chemical Engineering, 72, 233-254, 2015.
    (DOI: http://dx.doi.org/10.1016/j.compchemeng.2014.03.003).


  • Dong Y, Sundaramoorthy A, Pinto JM, Maravelias CT. A MIP Model for Inventory Routing in Industrial Gases Supply Chain. Industrial & Engineering Chemistry Research, 53(44), 17214-17225, 2014.
    (DOI: http://dx.doi.org/10.1021/ie500460c).
  • Bond JQ, Upadhye AA, Olcay H, Tompsett GA, Jae J, Xing R, Alonso DM, Wang D, Zhang T, Kumar R, Foster A, Sen SM, Maravelias CT, Malina, R, Barrett, S.R.H, Lobo, R, Wyman, C.E, Dumesic, J.A, Huber, G.W. Production of Renewable Jet Fuel Range Alkanes and Commodity Chemicals from Integrated Catalytic Processing of Biomass. Energy & Environmental Science, 7, 1500-1523, 2014.
    (DOI: http://dx.doi.org/10.1039/C3EE43846E).
  • Merchan AF, Maravelias CT. Reformulations of Mixed-integer Programming Continuous-time Models for Chemical Production Scheduling. Industrial & Engineering Chemistry Research, 53(24), 10155-10165, 2014.
    (DOI: http://dx.doi.org/10.1021/ie404274b).
  • Velez S, Maravelias CT. Advances in Mixed-integer Programming Methods for Chemical Production Scheduling. Annual Review of Chemical and Biomolecular Engineering, 5, 97-121, 2014.
    (DOI: http://dx.doi.org/10.1146/annurev-chembioeng-060713-035859).
  • Luterbacher JS, Rand JM, Martin Alonso D, Han J, Youngquist JT, Maravelias CT, Pfleger BF, Dumesic JA. Nonenzymatic Sugar Production from Biomass Using Biomass-derived γ-valerolactone. Science, 343, 207, 2014.
    (DOI: http://dx.doi.org/10.1126/science.1246748)
  • Subramanian K, Rawlings JB, Maravelias CT. Economic Model Predictive Control for Inventory Management in Supply Chains. Computers & Chemical Engineering, 64, 71-80, 2014.
    (DOI: http://dx.doi.org/10.1016/j.compchemeng.2014.01.003)
  • Harjunkoski I, Maravelias CT, Bongers P, Castro P, Engell S, Grossmann IE, Hooker J, Mendez C, Sand G, Wassick J. Scope for Industrial Applications of Production Scheduling Models and Solution Methods. Computers & Chemical Engineering, 62, 161-193, 2014.
    (DOI: http://dx.doi.org/10.1016/j.compchemeng.2013.12.001).
  • Nason T, Grabow L, Mavrikakis M, Biegler L, Maravelias CT. Advanced Solution Methods for Microkinetic Models of Catalytic Reactions: a Methanol Synthesis Case Study. AIChE J., 60(4), 1336-1346, 2014.
    (DOI: http://dx.doi.org/10.1002/aic.14322).
  • Han J-H, Sen SM, Alonso D, Dumesic JA, Maravelias CT. A Strategy for the Simultaneous Catalytic Conversion of Hemicellulose and Cellulose from Lignocellulosic Biomass to Liquid Transportation Fuels. Green Chemistry, 16, 653-661, 2014.
    (DOI: http://dx.doi.org/10.1039/C3GC41511B).


  • Merchan AG, Velez S, Maravelias CT. Tightening Methods for Continuous-time Mixed-Integer Programming Models for Chemical Production Scheduling. AIChE J., 59(12), 4461-4467, 2013.
    (DOI: http://dx.doi.org/10.1002/aic.14249).
  • Caes BR, Van Oosbree TR Lu F, Ralph J, Maravelias CT, Raines RT. Simulated Moving Bed Chromatography: Separation and Recovery of Sugars and Ionic Liquid from Biomass Hydrolysates. ChemSusChem, 6(11), 2083-2089, 2013.
    (DOI: http://dx.doi.org/10.1002/cssc.201300267).
  • Kim J, Miller JA, Maravelias CT, Stechel EB. Comparative Analysis of Environmental Impact of S2P (Sunshine to Petrol) System for Transportation Fuel Production. Applied Energy, 111, 1089-1098, 2013.
    (DOI: http://dx.doi.org/10.1016/j.apenergy.2013.06.035)
  • Velez S, Maravelias CT. A Branch-and-Bound Algorithm for the Solution of Chemical Production Scheduling MIP Models Using Parallel Computing. Computers & Chemical Engineering, 55, 28-39, 2013.
    (DOI: http://dx.doi.org/10.1016/j.compchemeng.2013.03.030)
  • Velez S, Maravelias CT. Multiple and Nonuniform Time Grids in Discrete-Time MIP Models for Chemical Production Scheduling. Computers & Chemical Engineering, 53, 70-85, 2013.
    (DOI: http://dx.doi.org/10.1016/j.compchemeng.2013.01.014).
  • Velez S, Maravelias CT. Reformulations and Branching Methods for Mixed-integer Programming Chemical Production Scheduling Models.  Industrial & Engineering Chemistry Research, 52 (10), 3832-3841, 2013.
    (DOI: http://dx.doi.org/10.1021/ie303421h)
  • Velez S, Maravelias, CT. Mixed-integer Programming Model and Tightening Methods for Scheduling in General Chemical Production Environments. Industrial & Engineering Chemistry Research, 52 (9), 3407-3423, 2013.
    (DOI: http://dx.doi.org/10.1021/ie302741b)
  • Kim J, Sen SM, Maravelias CT. An Optimization-Based Assessment Framework for Biomass-to-Fuels Conversion Strategies. Energy & Environmental Science, 6 (4), 1093-1104, 2013.
    (DOI: http://dx.doi.org/10.1039/C3EE24243A).
  • Subramanian K, Rawlings JB, Maravelias CT, Flores-Cerrillo J, Megan L. Integration of Control Theory and Scheduling Methods for Supply Chain Management. Computers & Chemical Engineering, 51, 4-20, 2013.
    (DOI: http://dx.doi.org/10.1016/j.compchemeng.2012.06.012).
  • Velez S, Sundaramoorthy A, Maravelias CT. Valid Inequalities Based on Demand Propagation for Chemical Production Scheduling MIP Models. AIChE J., 59(3), 872-887, 2013.
    (DOI: http://dx.doi.org/10.1002/aic.14021).


  • Sen SM, Alonso D, Wettstein SG, Gurbuz EI, Henao CA, Dumesic JA, Maravelias CT. A Sulfuric Acid Management Strategy for the Production of Liquid Hydrocarbon Fuels via Catalytic Conversion of Biomass-derived Levulinic Acid. Energy & Environmental Science, 5(12), 9690-9697, 2012.
    (DOI: http://dx.doi.org/10.1039/c2ee22526c).
  • Sen SM, Gurbuz EI, Wettstein SG, Alonso D, Dumesic JA, Maravelias CT. Production of Butene Oligomers as Transportation Fuels using Butene for Esterification of Levulinic Acid from Lignocellulosic Biomass: Process Synthesis and Technoeconomic Evaluation. Green Chemistry, 14 (12), 3289-3294, 2012.
    (DOI: http://dx.doi.org/10.1039/c2gc35881f).
  • Subramanian K, Maravelias CT, Rawlings JB. A State-space Model for Chemical Production Scheduling. Computers & Chemical Engineering, 47, 97-110, 2012.
    (DOI: http://dx.doi.org/10.1016/j.compchemeng.2012.06.025).
  • Kim J, Miller JA, Johnson T Stechel E, Maravelias CT. Fuel Production from CO2 Using Solar-Thermal Energy: System Level Analysis. Energy & Environmental Science, 5 (9), 8417 - 8429, 2012.
    (DOI: http://dx.doi.org/10.1039/c2ee21798h).
  • Sen SM, Binder JB, Raines RT, Maravelias CT. Conversion of Biomass to Sugars via Ionic Liquid Hydrolysis: Process Synthesis and Economic Evaluation. Biofuels, Bioproducts & Biorefining, 6(4), 444-452, 2012.
    (DOI: http://dx.doi.org/10.1002/bbb.1336)
  • Maravelias CT. A General Framework and Modeling Approach Classification for Chemical Production Scheduling. AIChE J., 58 (6), 1812-1828, 2012.
    (DOI: http://dx.doi.org/10.1002/aic.13801)
  • Maravelias CT. On the Combinatorial Structure of Discrete-time MIP Formulations for Chemical Production Scheduling. Computers & Chemical Engineering, 38, 204-212, 2012.
    (DOI: http://dx.doi.org/10.1016/j.compchemeng.2011.11.004).
  • Sen M, Henao CA, Braden DJ, Dumesic JA, Maravelias CT. Catalytic Conversion of Lignocellulosic Biomass to Fuels: Process Development and Technoeconomic Evaluation. Chemical Engineering Science, 67, 57-67, 2012.
    (DOI: http://dx.doi.org/10.1016/j.ces.2011.07.022).


  • Kim J, Reed JL, Maravelias CT. Large-scale Bi-level Strain Design Approaches and Mixed-integer Programming Solution Techniques. PLoS ONE, 6(9), e24162, 2011.
    (DOI: http://dx.doi.org/10.1371/journal.pone.0024162).
  • Kim J, Henao CA, Johnson TA, Dedrick DE, Miller JA, Stechel EB, Maravelias CT. Methanol Production from CO2 Using Solar-Thermal Energy: Process Development and Techno-Economic Analysis. Energy & Environmental Science, 4, 3122-3132, 2011.
    (DOI: http://dx.doi.org/10.1039/c1ee01311d).
  • Colvin M, Maravelias CT. R&D Pipeline Planning: Task Interdependencies and Risk Management. European Journal of Operational Research, 215, 616-628, 2011.
    (DOI: http://dx.doi.org/10.1016/j.ejor.2011.06.023)
  • Braden DJ, Henao CA, Heltzel J, Maravelias CT, Dumesic JA. Production of Liquid Hydrocarbon Fuels by Catalytic Conversion of Biomass-derived Levulinic Acid. Green Chemistry, 13, 1755-1765, 2011.
    (DOI: http://dx.doi.org/10.1039/c1gc15047b).
  • Sundaramoorthy A, Maravelias CT. Computational Study of Scheduling Approaches for Batch Process Networks. Industrial & Engineering Chemistry Research, 50(9), 5023-5040, 2011.
    (DOI: http://dx.doi.org/10.1021/ie101419z).
  • Henao CA, Maravelias CT. Surrogate-Based Superstructure Optimization Framework. AIChE J., 57(5), 1216-1232, 2011.
    (DOI: http://dx.doi.org/10.1002/aic.12341).
  • Kopanos G, Puigjaner L, Maravelias CT. Production Planning and Scheduling of Parallel Continuous Processes with Product Family Considerations. Industrial & Engineering Chemistry Research, 50, 1369-1378, 2011.
    (DOI: http://dx.doi.org/10.1021/ie100790t).
  • Sundaramoorthy A, Maravelias CT. A General Framework for Process Scheduling. AIChE J., 57(3), 695-710, 2011.
    (DOI: http://dx.doi.org/10.1002/aic.12300).