Year |
Citation |
Score |
2020 |
Ye Y, Grossmann IE, Pinto JM, Ramaswamy S. Integrated optimization of design, storage sizing, and maintenance policy as a Markov decision process considering varying failure rates Computers & Chemical Engineering. 142: 107052. DOI: 10.1016/J.Compchemeng.2020.107052 |
0.737 |
|
2020 |
Ye Y, Grossmann IE, Pinto JM, Ramaswamy S. Corrigendum to “Mixed-integer nonlinear programming models for optimal design of reliable chemical plants” [Computers & Chemical Engineering 116 (2018) 3–16] Computers & Chemical Engineering. 133: 106639. DOI: 10.1016/J.Compchemeng.2019.106639 |
0.683 |
|
2019 |
Ye Y, Grossmann IE, Pinto JM, Ramaswamy S. Integrated Redundancy and Storage Design Optimization for Reliable Air Separation Units Based on Markov Chain—A Game Theoretic Solution Industrial & Engineering Chemistry Research. 59: 2491-2504. DOI: 10.1021/Acs.Iecr.9B04609 |
0.724 |
|
2019 |
Ye Y, Grossmann IE, Pinto JM, Ramaswamy S. Modeling for reliability optimization of system design and maintenance based on Markov chain theory Computers & Chemical Engineering. 124: 381-404. DOI: 10.1016/J.Compchemeng.2019.02.016 |
0.733 |
|
2018 |
Ye Y, Grossmann IE, Pinto JM. Mixed-integer nonlinear programming models for optimal design of reliable chemical plants Computers & Chemical Engineering. 116: 3-16. DOI: 10.1016/J.Compchemeng.2017.08.013 |
0.737 |
|
2018 |
Brunaud B, Laínez-Aguirre JM, Pinto JM, Grossmann IE. Inventory policies and safety stock optimization for supply chain planning Aiche Journal. 65: 99-112. DOI: 10.1002/Aic.16421 |
0.699 |
|
2017 |
Zhang Q, Sundaramoorthy A, Grossmann IE, Pinto JM. Multiscale production routing in multicommodity supply chains with complex production facilities Computers & Operations Research. 79: 207-222. DOI: 10.1016/J.Cor.2016.11.001 |
0.561 |
|
2017 |
Dong Y, Maravelias CT, Pinto JM, Sundaramoorthy A. Solution methods for vehicle-based inventory routing problems Computers & Chemical Engineering. 101: 259-278. DOI: 10.1016/J.Compchemeng.2017.02.036 |
0.577 |
|
2016 |
Zhang Q, Morari MF, Grossmann IE, Sundaramoorthy A, Pinto JM. An adjustable robust optimization approach to scheduling of continuous industrial processes providing interruptible load Computers and Chemical Engineering. 86: 106-119. DOI: 10.1016/J.Compchemeng.2015.12.018 |
0.533 |
|
2016 |
Zhang Q, Cremer JL, Grossmann IE, Sundaramoorthy A, Pinto JM. Risk-based integrated production scheduling and electricity procurement for continuous power-intensive processes Computers and Chemical Engineering. 86: 90-105. DOI: 10.1016/J.Compchemeng.2015.12.015 |
0.56 |
|
2016 |
Zhang Q, Sundaramoorthy A, Grossmann IE, Pinto JM. A discrete-time scheduling model for continuous power-intensive process networks with various power contracts Computers and Chemical Engineering. 84: 382-393. DOI: 10.1016/J.Compchemeng.2015.09.019 |
0.553 |
|
2015 |
Sun L, Rangarajan A, Karwan MH, Pinto JM. Transportation cost allocation on a fixed route Computers and Industrial Engineering. 83: 61-73. DOI: 10.1016/J.Cie.2015.02.004 |
0.333 |
|
2014 |
Dong Y, Pinto JM, Sundaramoorthy A, Maravelias CT. MIP model for inventory routing in industrial gases supply chain Industrial and Engineering Chemistry Research. 53: 17214-17225. DOI: 10.1021/Ie500460C |
0.604 |
|
2014 |
Mitra S, Pinto JM, Grossmann IE. Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty. Part II: Enhanced hybrid bi-level decomposition Computers and Chemical Engineering. 65: 102-111. DOI: 10.1016/J.Compchemeng.2014.02.012 |
0.713 |
|
2014 |
Mitra S, Pinto JM, Grossmann IE. Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty. Part I: Modeling Computers and Chemical Engineering. 65: 89-101. DOI: 10.1016/J.Compchemeng.2014.01.016 |
0.741 |
|
2012 |
Pinto JM, Sahinidis NV. Foreword Computers and Chemical Engineering. 47: 1. DOI: 10.1016/j.compchemeng.2012.09.001 |
0.5 |
|
2012 |
Mitra S, Grossmann IE, Pinto JM, Arora N. Optimal production planning under time-sensitive electricity prices for continuous power-intensive processes Computers and Chemical Engineering. 38: 171-184. DOI: 10.1016/J.Compchemeng.2011.09.019 |
0.724 |
|
2012 |
Mitra S, Grossmann IE, Pinto JM, Arora N. Integration of strategic and operational decision-making for continuous power-intensive processes Computer Aided Chemical Engineering. 30: 232-236. DOI: 10.1016/B978-0-444-59519-5.50047-2 |
0.711 |
|
2011 |
You F, Pinto JM, Capón E, Grossmann IE, Arora N, Megan L. Optimal distribution-inventory planning of industrial gases. I. Fast computational strategies for large-scale problems Industrial and Engineering Chemistry Research. 50: 2910-2927. DOI: 10.1021/Ie1017578 |
0.682 |
|
2010 |
Pontes RF, Moraes JE, Machulek A, Pinto JM. A mechanistic kinetic model for phenol degradation by the Fenton process. Journal of Hazardous Materials. 176: 402-13. PMID 20005036 DOI: 10.1016/J.Jhazmat.2009.11.044 |
0.708 |
|
2010 |
Liu S, Pinto JM, Papageorgiou LG. MILP-based approaches for medium-term planning of single-stage continuous multiproduct plants with parallel units Computational Management Science. 7: 407-435. DOI: 10.1007/S10287-009-0096-5 |
0.371 |
|
2009 |
Liu S, Pinto JM, Papageorgiou LG. Medium-term planning of multistage multiproduct continuous plants using mixed integer optimisation Computer Aided Chemical Engineering. 26: 393-398. DOI: 10.1016/S1570-7946(09)70066-5 |
0.321 |
|
2008 |
Micheletto SR, Carvalho MCA, Pinto JM. Operational optimization of the utility system of an oil refinery Computers and Chemical Engineering. 32: 170-185. DOI: 10.1016/J.Compchemeng.2007.05.013 |
0.364 |
|
2006 |
Carvalho MCA, Pinto JM. A bilevel decomposition technique for the optimal planning of offshore platforms Brazilian Journal of Chemical Engineering. 23: 67-82. DOI: 10.1590/S0104-66322006000100008 |
0.305 |
|
2006 |
Carvalho MCA, Pinto JM. An MILP model and solution technique for the planning of infrastructure in offshore oilfields Journal of Petroleum Science and Engineering. 51: 97-110. DOI: 10.1016/j.petrol.2005.11.012 |
0.359 |
|
2005 |
Casas-Liza J, Pinto JM, Papageorgiou LG. Mixed integer optimization for cyclic scheduling of multiproduct plants under exponential performance decay Chemical Engineering Research and Design. 83: 1208-1217. DOI: 10.1205/Cherd.05066 |
0.378 |
|
2004 |
Iribarren OA, Montagna JM, Vecchietti AR, Andrews B, Asenjo JA, Pinto JM. Optimal process synthesis for the production of multiple recombinant proteins. Biotechnology Progress. 20: 1032-43. PMID 15296427 DOI: 10.1021/bp034330+ |
0.688 |
|
2004 |
Casas-Liza J, Pinto JM. Optimal scheduling of a lube oil and paraffin production plant Computer Aided Chemical Engineering. 18: 895-900. DOI: 10.1016/S1570-7946(04)80215-3 |
0.307 |
|
2004 |
Alle A, Papageorgiou LG, Pinto JM. A mathematical programming approach for cyclic production and cleaning scheduling of multistage continuous plants Computers and Chemical Engineering. 28: 3-15. DOI: 10.1016/S0098-1354(03)00171-6 |
0.344 |
|
2004 |
Rejowski R, Pinto JM. Efficient MILP formulations and valid cuts for multiproduct pipeline scheduling Computers and Chemical Engineering. 28: 1511-1528. DOI: 10.1016/J.Compchemeng.2003.12.001 |
0.356 |
|
2004 |
Neiro SMS, Pinto JM. A general modeling framework for the operational planning of petroleum supply chains Computers and Chemical Engineering. 28: 871-896. DOI: 10.1016/J.Compchemeng.2003.09.018 |
0.358 |
|
2003 |
Rejowski R, Pinto JM. Scheduling of a multiproduct pipeline system Computers and Chemical Engineering. 27: 1229-1246. DOI: 10.1016/S0098-1354(03)00049-8 |
0.309 |
|
2002 |
Alle A, Pinto JM. A general framework for simultaneous cyclic scheduling and operational optimization of multiproduct continuous plants Brazilian Journal of Chemical Engineering. 19: 457-466. DOI: 10.1590/S0104-66322002000400015 |
0.364 |
|
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