| Year |
Citation |
Score |
| 2023 |
Casas-Orozco D, Laky D, Wang V, Abdi M, Feng X, Wood E, Reklaitis GV, Nagy ZK. Techno-economic analysis of dynamic, end-to-end optimal pharmaceutical campaign manufacturing using PharmaPy. Aiche Journal. American Institute of Chemical Engineers. 69. PMID 38179085 DOI: 10.1002/aic.18142 |
0.337 |
|
| 2023 |
Sundarkumar V, Wang W, Mills M, Oh SW, Nagy Z, Reklaitis G. Developing a Modular Continuous Drug Product Manufacturing System with Real Time Quality Assurance for Producing Pharmaceutical Mini-Tablets. Journal of Pharmaceutical Sciences. PMID 37788791 DOI: 10.1016/j.xphs.2023.09.024 |
0.318 |
|
| 2023 |
Sheriff MZ, Huang YS, Bachawala S, Gonzelez M, Nagy ZK, Reklaitis GV. A Hierarchical Approach to Monitoring Control Performance and Plant-Model Mismatch. Escape. European Symposium On Computer Aided Process Engineering. 51: 1087-1092. PMID 36790941 DOI: 10.1016/b978-0-323-95879-0.50182-x |
0.304 |
|
| 2022 |
Sundarkumar V, Nagy ZK, Reklaitis GV. Developing a machine learning enabled integrated formulation and process design framework for a pharmaceutical dropwise additive manufacturing printer. Aiche Journal. American Institute of Chemical Engineers. 69. PMID 38222318 DOI: 10.1002/aic.17990 |
0.304 |
|
| 2022 |
Sundarkumar V, Nagy ZK, Reklaitis GV. Small-scale continuous drug product manufacturing using dropwise additive manufacturing and three phase settling for integration with upstream drug substance production. Journal of Pharmaceutical Sciences. PMID 35341723 DOI: 10.1016/j.xphs.2022.03.009 |
0.303 |
|
| 2021 |
Huang YS, Sheriff MZ, Bachawala S, Gonzalez M, Nagy ZK, Reklaitis GV. Evaluation of a Combined MHE-NMPC Approach to Handle Plant-Model Mismatch in a Rotary Tablet Press. Processes (Basel, Switzerland). 9. PMID 36776491 DOI: 10.3390/pr9091612 |
0.305 |
|
| 2020 |
Ganesh S, Su Q, Bao Dan Vo L, Pepka N, Rentz B, Vann L, Yazdanpanah N, O'Connor T, Nagy Z, Reklaitis G. Design of Condition-based Maintenance Framework for Process Operations Management in Pharmaceutical Continuous Manufacturing. International Journal of Pharmaceutics. 119621. PMID 32663581 DOI: 10.1016/J.Ijpharm.2020.119621 |
0.437 |
|
| 2020 |
Marques CM, Moniz S, de Sousa JP, Barbosa-Povoa AP, Reklaitis G. Decision-support challenges in the chemical-pharmaceutical industry: Findings and future research directions Computers & Chemical Engineering. 134: 106672. DOI: 10.1016/J.Compchemeng.2019.106672 |
0.332 |
|
| 2019 |
Mockus L, Reklaitis G, Morris K, LeBlond D. Risk Based Approach to Lot Release. Journal of Pharmaceutical Sciences. PMID 31610180 DOI: 10.1016/J.Xphs.2019.10.011 |
0.341 |
|
| 2019 |
Su Q, Bommireddy Y, Shah Y, Ganesh S, Moreno M, Liu J, Gonzalez M, Yazdanpanah N, O'Connor T, Reklaitis GV, Nagy ZK. Data reconciliation in the Quality-by-Design (QbD) implementation of pharmaceutical continuous tablet manufacturing. International Journal of Pharmaceutics. PMID 30951859 DOI: 10.1016/J.Ijpharm.2019.04.003 |
0.362 |
|
| 2019 |
Moreno M, Ganesh S, Shah YD, Su Q, Gonzalez M, Nagy ZK, Reklaitis GV. Sensor Network Robustness using Model-based Data Reconciliation for Continuous Tablet Manufacturing. Journal of Pharmaceutical Sciences. PMID 30904476 DOI: 10.1016/J.Xphs.2019.03.011 |
0.377 |
|
| 2019 |
Rossi F, Mockus L, Manenti F, Reklaitis G. Present and Future of Model Uncertainty Quantification in Process Systems Engineering Chemical Engineering Transactions. 74: 625-630. DOI: 10.3303/Cet1974105 |
0.341 |
|
| 2019 |
Reklaitis G, Braatz R, Ierapetritou M. Special issue on pharmaceutical manufacturing Computers & Chemical Engineering. 129: 106461. DOI: 10.1016/J.Compchemeng.2019.05.027 |
0.319 |
|
| 2019 |
Su Q, Ganesh S, Moreno M, Bommireddy Y, Gonzalez M, Reklaitis GV, Nagy ZK. A perspective on Quality-by-Control (QbC) in pharmaceutical continuous manufacturing Computers & Chemical Engineering. 125: 216-231. DOI: 10.1016/J.Compchemeng.2019.03.001 |
0.406 |
|
| 2019 |
Rossi F, Manenti F, Buzzi-Ferraris G, Reklaitis G. Stochastic NMPC/DRTO of batch operations: Batch-to-batch dynamic identification of the optimal description of model uncertainty Computers & Chemical Engineering. 122: 395-414. DOI: 10.1016/J.Compchemeng.2018.08.014 |
0.369 |
|
| 2019 |
Guerra OJ, Tejada DA, Reklaitis GV. Climate change impacts and adaptation strategies for a hydro-dominated power system via stochastic optimization Applied Energy. 584-598. DOI: 10.1016/J.Apenergy.2018.10.045 |
0.321 |
|
| 2018 |
Radcliffe AJ, Hilden JL, Nagy ZK, Reklaitis GV. Dropwise Additive Manufacturing of Pharmaceutical Products using Particle Suspensions. Journal of Pharmaceutical Sciences. PMID 30308177 DOI: 10.1016/J.Xphs.2018.09.030 |
0.761 |
|
| 2018 |
Guerra OJ, Reklaitis GV. Advances and challenges in water management within energy systems Renewable and Sustainable Energy Reviews. 82: 4009-4019. DOI: 10.1016/J.Rser.2017.10.071 |
0.309 |
|
| 2018 |
Su Q, Moreno M, Ganesh S, Reklaitis GV, Nagy ZK. Resilience and risk analysis of fault-tolerant process control design in continuous pharmaceutical manufacturing Journal of Loss Prevention in the Process Industries. 55: 411-422. DOI: 10.1016/J.Jlp.2018.07.015 |
0.411 |
|
| 2018 |
Liu J, Su Q, Moreno M, Laird C, Nagy Z, Reklaitis G. Robust state estimation of feeding–blending systems in continuous pharmaceutical manufacturing Chemical Engineering Research and Design. 134: 140-153. DOI: 10.1016/J.Cherd.2018.03.017 |
0.306 |
|
| 2018 |
Moreno M, Liu J, Su Q, Leach C, Giridhar A, Yazdanpanah N, O’Connor T, Nagy ZK, Reklaitis GV. Steady-State Data Reconciliation Framework for a Direct Continuous Tableting Line Journal of Pharmaceutical Innovation. 14: 221-238. DOI: 10.1007/S12247-018-9354-9 |
0.392 |
|
| 2018 |
Joglekar G, Cai Q, DeLaurentis P, Mockus L, Morris K, Reklaitis GV. A Workflow-Based Framework for Curating Product Analytical Data and Statistical Results for Lot Release Journal of Pharmaceutical Innovation. 13: 95-109. DOI: 10.1007/S12247-018-9310-8 |
0.339 |
|
| 2018 |
Guerra OJ, Calderón AJ, Papageorgiou LG, Reklaitis GV. Integrated shale gas supply chain design and water management under uncertainty Aiche Journal. 65: 924-936. DOI: 10.1002/Aic.16476 |
0.349 |
|
| 2018 |
Yi G, Reklaitis GV. Optimal design of batch‐storage network considering ownership Aiche Journal. 64: 2418-2425. DOI: 10.1002/Aic.16102 |
0.63 |
|
| 2017 |
Içten E, Purohit HS, Wallace C, Giridhar A, Taylor LS, Nagy ZK, Reklaitis GV. Dropwise Additive Manufacturing of Pharmaceutical Products for Amorphous and Self Emulsifying Drug Delivery Systems. International Journal of Pharmaceutics. PMID 28380390 DOI: 10.1016/J.Ijpharm.2017.04.003 |
0.387 |
|
| 2017 |
Rossi F, Casas-Orozco D, Reklaitis G, Manenti F, Buzzi-Ferraris G. A computational framework for integrating campaign scheduling, dynamic optimization and optimal control in multi-unit batch processes Computers & Chemical Engineering. 107: 184-220. DOI: 10.1016/J.Compchemeng.2017.05.024 |
0.384 |
|
| 2017 |
Su Q, Moreno M, Giridhar A, Reklaitis GV, Nagy ZK. A Systematic Framework for Process Control Design and Risk Analysis in Continuous Pharmaceutical Solid-Dosage Manufacturing Journal of Pharmaceutical Innovation. 12: 327-346. DOI: 10.1007/S12247-017-9297-6 |
0.396 |
|
| 2016 |
Içten E, Giridhar A, Nagy ZK, Reklaitis GV. Drop-on-Demand System for Manufacturing of Melt-based Solid Oral Dosage: Effect of Critical Process Parameters on Product Quality. Aaps Pharmscitech. 17: 284-93. PMID 26082005 DOI: 10.1208/S12249-015-0348-3 |
0.403 |
|
| 2016 |
Laínez-Aguirre JM, Mockus L, Orçun S, Blau† G, Reklaitis GV. A Decomposition Strategy for the Variational Inference of Complex Systems Technometrics. 58: 84-94. DOI: 10.1080/00401706.2014.995833 |
0.321 |
|
| 2016 |
Içten E, Joglekar G, Wallace C, Loehr K, Sacksteder J, Giridhar A, Nagy ZK, Reklaitis GV. Knowledge Provenance Management System for a Dropwise Additive Manufacturing System for Pharmaceutical Products Industrial & Engineering Chemistry Research. 55: 9676-9686. DOI: 10.1021/Acs.Iecr.6B01042 |
0.41 |
|
| 2016 |
Guerra OJ, Calderón AJ, Papageorgiou LG, Siirola JJ, Reklaitis GV. An optimization framework for the integration of water management and shale gas supply chain design Computers & Chemical Engineering. 92: 230-255. DOI: 10.1016/J.Compchemeng.2016.03.025 |
0.336 |
|
| 2016 |
Rossi F, Reklaitis G, Buzzi-Ferraris G, Manenti F. Dynamic Multi-Scenario Approach to Robust and Profitable Online Optimization & Optimal Control of Batch Processes Computer-Aided Chemical Engineering. 38: 955-960. DOI: 10.1016/B978-0-444-63428-3.50164-8 |
0.378 |
|
| 2016 |
Içten E, Joglekar GS, Giridhar A, Reklaitis GV. Application of a Knowledge Management System to a Dropwise Additive Manufacturing System for Pharmaceuticals Computer-Aided Chemical Engineering. 38: 619-624. DOI: 10.1016/B978-0-444-63428-3.50108-9 |
0.4 |
|
| 2016 |
Rossi F, Reklaitis G, Manenti F, Buzzi-Ferraris G. Multi-scenario robust online optimization and control of fed-batch systems via dynamic model-based scenario selection Aiche Journal. 62: 3264-3284. DOI: 10.1002/Aic.15346 |
0.32 |
|
| 2016 |
Ierapetritou M, Muzzio F, Reklaitis G. Perspectives on the continuous manufacturing of powder-based pharmaceutical processes Aiche Journal. 62: 1846-1862. DOI: 10.1002/Aic.15210 |
0.402 |
|
| 2015 |
Gupta A, Austin J, Davis S, Harris M, Reklaitis G. A novel microwave sensor for real-time online monitoring of roll compacts of pharmaceutical powders online--a comparative case study with NIR. Journal of Pharmaceutical Sciences. 104: 1787-94. PMID 25754185 DOI: 10.1002/Jps.24409 |
0.529 |
|
| 2015 |
Içten E, Giridhar A, Taylor LS, Nagy ZK, Reklaitis GV. Dropwise additive manufacturing of pharmaceutical products for melt-based dosage forms. Journal of Pharmaceutical Sciences. 104: 1641-9. PMID 25639605 DOI: 10.1002/jps.24367 |
0.33 |
|
| 2015 |
Mockus L, Peterson JJ, Lainez JM, Reklaitis GV. Batch-to-Batch Variation: A Key Component for Modeling Chemical Manufacturing Processes Organic Process Research and Development. 19: 908-914. DOI: 10.1021/Op500244F |
0.36 |
|
| 2015 |
Içten E, Nagy ZK, Reklaitis GV. Process control of a dropwise additive manufacturing system for pharmaceuticals using polynomial chaos expansion based surrogate model Computers & Chemical Engineering. 83: 221-231. DOI: 10.1016/J.Compchemeng.2015.07.014 |
0.452 |
|
| 2015 |
Rossi F, Manenti F, Reklaitis G. A general modular framework for the integrated optimal management of an industrial gases supply-chain and its production systems Computers and Chemical Engineering. 82: 84-104. DOI: 10.1016/J.Compchemeng.2015.06.007 |
0.436 |
|
| 2015 |
Laínez-Aguirre JM, Mockus L, Reklaitis GV. A stochastic programming approach for the Bayesian experimental design of nonlinear systems Computers & Chemical Engineering. 72: 312-324. DOI: 10.1016/J.Compchemeng.2014.06.006 |
0.33 |
|
| 2015 |
Rossi F, Manenti F, Reklaitis G, Buzzi-Ferraris G. A Performance-Oriented Robust Framework for the Online Model-Based Optimization and Control of (Fed-)Batch Systems Computer-Aided Chemical Engineering. 37: 1517-1522. DOI: 10.1016/B978-0-444-63577-8.50098-X |
0.368 |
|
| 2015 |
Calderón AJ, Guerra OJ, Papageorgiou LG, Siirola JJ, Reklaitis GV. Financial Considerations in Shale Gas Supply Chain Development Computer-Aided Chemical Engineering. 37: 2333-2338. DOI: 10.1016/B978-0-444-63576-1.50083-2 |
0.306 |
|
| 2015 |
Içten E, Nagy ZK, Reklaitis GV. Modelling of Crystallization of Solid Oral Drug Forms in a Dropwise Additive Manufacturing System Computer-Aided Chemical Engineering. 37: 2195-2200. DOI: 10.1016/B978-0-444-63576-1.50060-1 |
0.329 |
|
| 2015 |
Hirshfield L, Içten E, Giridhar A, Nagy ZK, Reklaitis GV. Real-Time Process Management Strategy for Dropwise Additive Manufacturing of Pharmaceutical Products Journal of Pharmaceutical Innovation. 10: 140-155. DOI: 10.1007/S12247-015-9218-5 |
0.79 |
|
| 2015 |
Yi G, Reklaitis GV. Adaptive model predictive inventory controller for multiproduct batch plant Aiche Journal. 61: 1867-1880. DOI: 10.1002/Aic.14783 |
0.682 |
|
| 2014 |
Austin J, Gupta A, McDonnell R, Reklaitis GV, Harris MT. A novel microwave sensor to determine particulate blend composition on-line. Analytica Chimica Acta. 819: 82-93. PMID 24636415 DOI: 10.1016/J.Aca.2014.02.016 |
0.437 |
|
| 2014 |
Hirshfield L, Giridhar A, Taylor LS, Harris MT, Reklaitis GV. Dropwise additive manufacturing of pharmaceutical products for solvent-based dosage forms. Journal of Pharmaceutical Sciences. 103: 496-506. PMID 24311373 DOI: 10.1002/Jps.23803 |
0.774 |
|
| 2014 |
Joglekar GS, Giridhar A, Reklaitis G. A workflow modeling system for capturing data provenance Computers & Chemical Engineering. 67: 148-158. DOI: 10.1016/J.Compchemeng.2014.04.006 |
0.366 |
|
| 2014 |
Yi G, Reklaitis GV. Adaptive model predictive inventory controller for multiproduct warehouse system Automatica. 50: 2245-2253. DOI: 10.1016/J.Automatica.2014.07.022 |
0.669 |
|
| 2014 |
Joglekar G, Giridhar A, Reklaitis GV. A Novel Knowledge Management System Based on Workflows Computer-Aided Chemical Engineering. 33: 853-858. DOI: 10.1016/B978-0-444-63456-6.50143-5 |
0.391 |
|
| 2014 |
Icten E, Nagy ZK, Reklaitis GV. Supervisory Control of a Drop on Demand Mini-manufacturing System for Pharmaceuticals Computer-Aided Chemical Engineering. 33: 535-540. DOI: 10.1016/B978-0-444-63456-6.50090-9 |
0.43 |
|
| 2014 |
Giridhar A, Gupta A, Louvier M, Joglekar G, Nagy ZK, Reklaitis GV. Intelligent Process Management for Continuous Operations in Pharmaceutical Manufacturing Computer-Aided Chemical Engineering. 33: 391-396. DOI: 10.1016/B978-0-444-63456-6.50066-1 |
0.605 |
|
| 2014 |
Laínez-Aguirre JM, Blau GE, Reklaitis GV. Postulating Compartmental Models Using a Flexible Approach Computer-Aided Chemical Engineering. 33: 1171-1176. DOI: 10.1016/B978-0-444-63455-9.50030-1 |
0.321 |
|
| 2014 |
Mockus L, LeBlond D, Reklaitis G. Uncertainty Quantification in Pharmaceutical Development Computer-Aided Chemical Engineering. 34: 375-380. DOI: 10.1016/B978-0-444-63433-7.50047-X |
0.323 |
|
| 2013 |
Austin J, Gupta A, McDonnell R, Reklaitis GV, Harris MT. The use of near-infrared and microwave resonance sensing to monitor a continuous roller compaction process. Journal of Pharmaceutical Sciences. 102: 1895-904. PMID 23568242 DOI: 10.1002/Jps.23536 |
0.541 |
|
| 2013 |
Gupta A, Giridhar A, Venkatasubramanian V, Reklaitis GV. Intelligent alarm management applied to continuous pharmaceutical tablet manufacturing: An integrated approach Industrial and Engineering Chemistry Research. 52: 12357-12368. DOI: 10.1021/Ie3035042 |
0.584 |
|
| 2013 |
Kuriyan K, Reklaitis G. Creating shared resources for pharmaceutical technology education—Simulation tools Education For Chemical Engineers. 8: e124-e131. DOI: 10.1016/J.Ece.2013.10.002 |
0.378 |
|
| 2013 |
Yi G, Reklaitis GV. Optimal Design of Generalized Batch-Storage Network Considering Shortage Costs Aiche Journal. 59: 2454-2470. DOI: 10.1002/Aic.14012 |
0.7 |
|
| 2012 |
Laínez JM, Schaefer E, Reklaitis GV. Challenges and opportunities in enterprise-wide optimization in the pharmaceutical industry Computers & Chemical Engineering. 47: 19-28. DOI: 10.1016/J.Compchemeng.2012.07.002 |
0.387 |
|
| 2012 |
Chen Y, Mockus L, Orcun S, Reklaitis GV. Simulation-optimization approach to clinical trial supply chain management with demand scenario forecast Computers & Chemical Engineering. 40: 82-96. DOI: 10.1016/J.Compchemeng.2012.01.007 |
0.349 |
|
| 2012 |
Huang S, Srinivasan R, Pekny JF, Reklaitis GV. Agent-Based Simulation Framework for Public Bus Fleet Electrification Investment Analysis Computer-Aided Chemical Engineering. 31: 1226-1230. DOI: 10.1016/B978-0-444-59506-5.50076-6 |
0.342 |
|
| 2012 |
Hamdan IM, Reklaitis GV, Venkatasubramanian V. Real-time exceptional events management for a partial continuous dry granulation line Journal of Pharmaceutical Innovation. 7: 95-118. DOI: 10.1007/S12247-012-9138-6 |
0.766 |
|
| 2011 |
Mockus L, Laínez JM, Reklaitis G, Kirsch L. A Bayesian Approach to Pharmaceutical Product Quality Risk Quantification Informatica. 22: 537-558. DOI: 10.15388/Informatica.2011.341 |
0.397 |
|
| 2011 |
Stephanopoulos G, Reklaitis GV. Process systems engineering: From Solvay to modern bio- and nanotechnology. Chemical Engineering Science. 66: 4272-4306. DOI: 10.1016/J.Ces.2011.05.049 |
0.35 |
|
| 2011 |
Laínez JM, Mockus L, Blau G, Orçun S, Reklaitis GV. A Variational Bayesian Approach for Dosage Regimen Individualization Computer-Aided Chemical Engineering. 29: 1563-1567. DOI: 10.1016/B978-0-444-54298-4.50091-X |
0.304 |
|
| 2011 |
Giridhar A, Hamdan I, Joglekar G, Venkatasubramanian V, Reklaitis GV. Real-time Process Management in Particulate and Pharmaceutical Systems Computer Aided Chemical Engineering. 29: 1035-1039. DOI: 10.1016/B978-0-444-53711-9.50207-8 |
0.79 |
|
| 2011 |
Yi G, Reklaitis GV. Optimal design of multiperiod batch-storage network including transportation processes Aiche Journal. 57: 2821-2840. DOI: 10.1002/Aic.12492 |
0.699 |
|
| 2010 |
Suresh P, Hsu SH, Reklaitis GV, Venkatasubramanian V. OntoMODEL: Ontological mathematical modeling knowledge management in pharmaceutical product development, 2: Applications Industrial and Engineering Chemistry Research. 49: 7768-7781. DOI: 10.1021/Ie100258P |
0.427 |
|
| 2010 |
Suresh P, Hsu SH, Akkisetty P, Reklaitis GV, Venkatasubramanian V. OntoMODEL: Ontological mathematical modeling knowledge management in pharmaceutical product development, 1: Conceptual framework Industrial and Engineering Chemistry Research. 49: 7758-7767. DOI: 10.1021/Ie100246W |
0.373 |
|
| 2010 |
Chen Y, Mockus L, Orcun S, Reklaitis GV. Simulation-based Optimization Approach to Clinical Trial Supply Chain Management Computer-Aided Chemical Engineering. 28: 145-150. DOI: 10.1016/S1570-7946(10)28025-2 |
0.356 |
|
| 2010 |
Zapata JC, Reklaitis GV. Valuation of project portfolios: An endogenously discounted method European Journal of Operational Research. 206: 653-666. DOI: 10.1016/J.Ejor.2010.03.015 |
0.302 |
|
| 2010 |
Akkisetty PK, Lee U, Reklaitis GV, Venkatasubramanian V. Population balance model-based hybrid neural network for a pharmaceutical milling process Journal of Pharmaceutical Innovation. 5: 161-168. DOI: 10.1007/S12247-010-9090-2 |
0.345 |
|
| 2010 |
Hamdan IM, Reklaitis GV, Venkatasubramanian V. Exceptional events management applied to roller compaction of pharmaceutical powders Journal of Pharmaceutical Innovation. 5: 147-160. DOI: 10.1007/S12247-010-9087-X |
0.763 |
|
| 2010 |
Hsu S, Reklaitis GV, Venkatasubramania V. Modeling and Control of Roller Compaction for Pharmaceutical Manufacturing Journal of Pharmaceutical Innovation. 5: 24-36. DOI: 10.1007/S12247-010-9077-Z |
0.377 |
|
| 2010 |
Hsu SH, Reklaitis GV, Venkatasubramanian V. Modeling and control of roller compaction for pharmaceutical manufacturing. Part I: Process dynamics and control framework Journal of Pharmaceutical Innovation. 5: 14-23. DOI: 10.1007/S12247-010-9076-0 |
0.34 |
|
| 2009 |
Aguirre JML, Reklaitis G, Corbella LP. Managing financial risk in the coordination of supply chain and product development decisions Computer-Aided Chemical Engineering. 26: 1027-1033. DOI: 10.1016/S1570-7946(09)70121-X |
0.418 |
|
| 2009 |
Kumar Akkisetty P, Reklaitis GV, Venkatasubramanian V. Ontological informatics based decision support system for pharmaceutical product development: Milling as a case study Computer Aided Chemical Engineering. 26: 159-164. DOI: 10.1016/S1570-7946(09)70027-6 |
0.359 |
|
| 2009 |
Laínez J, Puigjaner L, Reklaitis G. Financial and financial engineering considerations in supply chain and product development pipeline management Computers & Chemical Engineering. 33: 1999-2011. DOI: 10.1016/J.Compchemeng.2009.06.025 |
0.387 |
|
| 2009 |
Aydogan-Cremaschi S, Orcun S, Blau G, Pekny JF, Reklaitis GV. A novel approach for life-support-system design for manned space missions Acta Astronautica. 65: 330-346. DOI: 10.1016/J.Actaastro.2009.02.017 |
0.327 |
|
| 2009 |
Kuriyan K, Catlin AC, Reklaitis GV. pharmaHUB: Building a Virtual Organization for Pharmaceutical Engineering and Science Journal of Pharmaceutical Innovation. 4: 81-89. DOI: 10.1007/S12247-009-9061-7 |
0.307 |
|
| 2008 |
Suresh P, Joglekar G, Hsu S, Akkisetty P, Hailemariam L, Jain A, Reklaitis G, Venkatasubramanian V. Onto MODEL: Ontological mathematical modeling knowledge management Computer Aided Chemical Engineering. 25: 985-990. DOI: 10.1016/S1570-7946(08)80170-8 |
0.365 |
|
| 2008 |
Hailemariam L, Suresh P, Akkisetty VPK, Joglekar G, Hsu SH, Jain A, Morris K, Reklaitis G, Basu P, Venkatasubramanian V. Excipient interaction prediction: application of the Purdue Ontology for Pharmaceutical Engineering (POPE) Computer Aided Chemical Engineering. 25: 85-90. DOI: 10.1016/S1570-7946(08)80019-3 |
0.318 |
|
| 2008 |
Jung JY, Blau G, Pekny JF, Reklaitis GV, Eversdyk D. Integrated safety stock management for multi-stage supply chains under production capacity constraints Computers & Chemical Engineering. 32: 2570-2581. DOI: 10.1016/J.Compchemeng.2008.04.003 |
0.382 |
|
| 2008 |
Varma VA, Pekny JF, Blau GE, Reklaitis GV. A framework for addressing stochastic and combinatorial aspects of scheduling and resource allocation in pharmaceutical R&D pipelines Computers & Chemical Engineering. 32: 1000-1015. DOI: 10.1016/J.Compchemeng.2007.05.006 |
0.369 |
|
| 2008 |
Zapata JC, Varma VA, Reklaitis G. Impact of tactical and operational policies in the selection of a new product portfolio Computers & Chemical Engineering. 32: 307-319. DOI: 10.1016/J.Compchemeng.2007.03.024 |
0.362 |
|
| 2008 |
Zapata JC, Hodge BM, Reklaitis GV. The multimode resource constrained multiproject scheduling problem: Alternative formulations Aiche Journal. 54: 2101-2119. DOI: 10.1002/Aic.11522 |
0.329 |
|
| 2007 |
Varma V, Reklaitis G, Blau G, Pekny J. Enterprise-wide modeling & optimization—An overview of emerging research challenges and opportunities Computers & Chemical Engineering. 31: 692-711. DOI: 10.1016/J.Compchemeng.2006.11.007 |
0.371 |
|
| 2007 |
Yi G, Reklaitis GV. Optimal design of batch-storage network considering exchange rates and taxes Aiche Journal. 53: 1211-1231. DOI: 10.1002/Aic.11161 |
0.707 |
|
| 2006 |
Subramanian V, Pekny JF, Reklaitis GV. Decentralized supply chain dynamics and the quantity flexibility contract Computer-Aided Chemical Engineering. 21: 2153-2158. DOI: 10.1016/S1570-7946(06)80367-6 |
0.379 |
|
| 2006 |
Zhao C, Hailemariam L, Jain A, Joglekar G, Venkatasubramanian V, Morris K, Reklaitis G. Information modeling for pharmaceutical product development Computer Aided Chemical Engineering. 21: 2147-2152. DOI: 10.1016/S1570-7946(06)80366-4 |
0.347 |
|
| 2006 |
Zapata JC, Varma VA, Reklaitis GV. A framework for capturing the impact of resource allocation policies in the selection of a new product portfolio Computer-Aided Chemical Engineering. 21: 1943-1948. DOI: 10.1016/S1570-7946(06)80332-9 |
0.386 |
|
| 2006 |
Zhao C, Jain A, Hailemariam L, Joglekar G, Venkatasubramanian V, Morris K, Reklaitis G. A unified approach for knowledge modeling in pharmaceutical product development Computer Aided Chemical Engineering. 21: 1929-1935. DOI: 10.1016/S1570-7946(06)80330-5 |
0.363 |
|
| 2006 |
Wan X, Pekny JF, Reklaitis GV. Simulation based optimization for risk management in multi-stage capacity expansion Computer-Aided Chemical Engineering. 21: 1881-1886. DOI: 10.1016/S1570-7946(06)80322-6 |
0.311 |
|
| 2006 |
Venkatasubramanian V, Zhao C, Joglekar G, Jain A, Hailemariam L, Suresh P, Akkisetty P, Morris K, Reklaitis GV. Ontological informatics infrastructure for pharmaceutical product development and manufacturing Computers and Chemical Engineering. 30: 1482-1496. DOI: 10.1016/J.Compchemeng.2006.05.036 |
0.409 |
|
| 2006 |
Zhao C, Jain A, Hailemariam L, Suresh P, Akkisetty P, Joglekar G, Venkatasubramanian V, Reklaitis GV, Morris K, Basu P. Toward intelligent decision support for pharmaceutical product development Journal of Pharmaceutical Innovation. 1: 23-35. DOI: 10.1007/Bf02784878 |
0.402 |
|
| 2006 |
Hlinak AJ, Kuriyan K, Morris KR, Reklaitis GV, Basu PK. Understanding critical material properties for solid dosage form design Journal of Pharmaceutical Innovation. 1: 12-17. DOI: 10.1007/Bf02784876 |
0.343 |
|
| 2006 |
Yi G, Reklaitis GV. Optimal design of batch-storage network with uncertainty and waste treatments Aiche Journal. 52: 3473-3490. DOI: 10.1002/Aic.10954 |
0.726 |
|
| 2005 |
Zhao C, Joglekar G, Jain A, Venkatasubramanian V, Reklaitis GV. Pharmaceutical informatics: A novel paradigm for pharmaceutical product development and manufacture Computer Aided Chemical Engineering. 20: 1561-1566. DOI: 10.1016/S1570-7946(05)80102-6 |
0.432 |
|
| 2005 |
Wan X, Pekny JF, Reklaitis GV. Simulation-based optimization with surrogate models—Application to supply chain management Computers & Chemical Engineering. 29: 1317-1328. DOI: 10.1016/J.Compchemeng.2005.02.018 |
0.361 |
|
| 2005 |
Yi G, Reklaitis GV. Optimal design of batch-storage network with multitasking semi-continuous processes Aiche Journal. 52: 269-281. DOI: 10.1002/Aic.10582 |
0.717 |
|
| 2004 |
Wan X, Pekny JF, Reklaitis GV. Simulation based optimization of supply chains with a surrogate model Computer-Aided Chemical Engineering. 18: 1009-1014. DOI: 10.1016/S1570-7946(04)80234-7 |
0.344 |
|
| 2004 |
Jung JY, Blau G, Pekny JF, Reklaitis GV, Eversdyk D. A simulation based optimization approach to supply chain management under demand uncertainty Computers & Chemical Engineering. 28: 2087-2106. DOI: 10.1016/J.Compchemeng.2004.06.006 |
0.381 |
|
| 2004 |
Yi G, Reklaitis GV. Optimal design of batch-storage network with financial transactions and cash flows Aiche Journal. 50: 2849-2865. DOI: 10.1002/Aic.10273 |
0.709 |
|
| 2003 |
Wan X, Orçun S, Pekny JF, Reklaitis GV. A simulation based optimization framework to analyze and investigate complex supply chains Computer-Aided Chemical Engineering. 15: 630-635. DOI: 10.1016/S1570-7946(03)80615-6 |
0.322 |
|
| 2003 |
Yi G, Reklaitis GV. Optimal design of batch-storage network with recycling streams Computer-Aided Chemical Engineering. 15. DOI: 10.1016/S1570-7946(03)80573-4 |
0.686 |
|
| 2003 |
Varma VA, Pekny JF, Reklaitis GV, Subramanian D. An XML-based language for the Research & Development pipeline management problem Computers & Chemical Engineering. 27: 1361-1379. DOI: 10.1016/S0098-1354(03)00091-7 |
0.314 |
|
| 2003 |
Yi G, Reklaitis GV. Optimal design of batch-storage network with recycle streams Aiche Journal. 49: 3084-3094. DOI: 10.1002/Aic.690491210 |
0.694 |
|
| 2003 |
Subramanian D, Pekny JF, Reklaitis GV, Blau GE. Simulation-optimization framework for Stochastic Optimization of R&D pipeline management Aiche Journal. 49: 96-112. DOI: 10.1002/Aic.690490110 |
0.393 |
|
| 2002 |
Huang YJ, Reklaitis G, Venkatasubramanian V. Model decomposition based method for solving general dynamic optimization problems Computers & Chemical Engineering. 26: 863-873. DOI: 10.1016/S0098-1354(02)00007-8 |
0.343 |
|
| 2002 |
Yi G, Reklaitis GV. Optimal design of batch-storage network using periodic square wave model Aiche Journal. 48: 1737-1753. DOI: 10.1002/Aic.690480815 |
0.715 |
|
| 2001 |
Subramanian D, Pekny JF, Reklaitis GV. SIM-OPT: A computational architecture to address valuable business aspects of research & development pipeline management Computer Aided Chemical Engineering. 9: 1101-1108. DOI: 10.1016/S1570-7946(01)80177-2 |
0.331 |
|
| 2001 |
Huang Y, Reklaitis GV, Venkatasubramanian V. Wavelet shrinkage based covariance matrix estimation from process measurements Computer-Aided Chemical Engineering. 9: 669-674. DOI: 10.1016/S1570-7946(01)80106-1 |
0.526 |
|
| 2001 |
Kuriyan K, Muench W, Reklaitis G. Air Products hydrogen liquefaction project: Building a Web-based simulation of an industrial process Computer Applications in Engineering Education. 9: 180-191. DOI: 10.1002/Cae.1019 |
0.326 |
|
| 2001 |
Subramanian D, Pekny JF, Reklaitis GV. A simulation-optimization framework for research and development pipeline management Aiche Journal. 47: 2226-2242. DOI: 10.1002/Aic.690471010 |
0.413 |
|
| 2000 |
YI G, REKLAITIS GV. OPTIMAL DESIGN OF MULTIPLE BATCH UNITS WITH FEEDSTOCK/PRODUCT STORAGES Chemical Engineering Communications. 181: 79-106. DOI: 10.1080/00986440008912817 |
0.376 |
|
| 2000 |
Lee H, Lee I, Reklaitis G. Capacity expansion problem of multisite batch plants with production and distribution Computers & Chemical Engineering. 24: 1597-1602. DOI: 10.1016/S0098-1354(00)80011-3 |
0.595 |
|
| 2000 |
Applequist G, Pekny J, Reklaitis G. Risk and uncertainty in managing chemical manufacturing supply chains Computers & Chemical Engineering. 24: 2211-2222. DOI: 10.1016/S0098-1354(00)00585-8 |
0.332 |
|
| 2000 |
Subramanian D, Pekny JF, Reklaitis GV. A simulation—optimization framework for addressing combinatorial and stochastic aspects of an R&D pipeline management problem Computers & Chemical Engineering. 24: 1005-1011. DOI: 10.1016/S0098-1354(00)00535-4 |
0.376 |
|
| 2000 |
Huang Y, Reklaitis GV, Venkatasubramanian V. Dynamic optimization based fault accommodation Computers and Chemical Engineering. 24: 439-444. DOI: 10.1016/S0098-1354(00)00435-X |
0.542 |
|
| 1999 |
Wajge R, Reklaitis G. RBDOPT: a general-purpose object-oriented module for distributed campaign optimization of reactive batch distillation Chemical Engineering Journal. 75: 57-68. DOI: 10.1016/S1385-8947(99)00020-0 |
0.378 |
|
| 1999 |
Honkomp S, Mockus L, Reklaitis G. A framework for schedule evaluation with processing uncertainty Computers & Chemical Engineering. 23: 595-609. DOI: 10.1016/S0098-1354(98)00296-8 |
0.391 |
|
| 1999 |
Androulakis I, Reklaitis G. Approaches to asynchronous decentralized decision making Computers & Chemical Engineering. 23: 341-355. DOI: 10.1016/S0098-1354(98)00278-6 |
0.564 |
|
| 1998 |
Wajge RM, Reklaitis GV. An Optimal Campaign Structure for Multicomponent Batch Distillation with Reversible Reaction Industrial & Engineering Chemistry Research. 37: 1910-1916. DOI: 10.1021/Ie970527T |
0.363 |
|
| 1998 |
Wajge R, Reklaitis G. Multi-Level Strategies for Optimizing Campaign Structures for Reactive Batch Distillation Systems Ifac Proceedings Volumes. 31: 131-136. DOI: 10.1016/S1474-6670(17)44918-4 |
0.355 |
|
| 1998 |
Zentner M, Elkamel A, Pekny J, Reklaitis G. A language for describing process scheduling problems Computers & Chemical Engineering. 22: 125-145. DOI: 10.1016/S0098-1354(96)00355-9 |
0.323 |
|
| 1997 |
ELKAMEL A, ZENTNER M, PEKNY F, REKLAITIS G. A DECOMPOSITION HEURISTIC FOR SCHEDULING THE GENERAL BATCH CHEMICAL PLANT Engineering Optimization. 28: 299-330. DOI: 10.1080/03052159708941137 |
0.343 |
|
| 1997 |
Bassett MH, Pekny JF, Reklaitis GV. Using Detailed Scheduling To Obtain Realistic Operating Policies for a Batch Processing Facility Industrial & Engineering Chemistry Research. 36: 1717-1726. DOI: 10.1021/Ie960470V |
0.408 |
|
| 1997 |
Mockus L, Reklaitis GV. A Bayesian approach to batch process scheduling International Transactions in Operational Research. 4: 55-65. DOI: 10.1016/S0969-6016(96)00028-7 |
0.383 |
|
| 1997 |
Bassett MH, Pekny JF, Reklaitis GV. Obtaining realistic production plans for a batch production facility Computers & Chemical Engineering. 21: S1203-S1208. DOI: 10.1016/S0098-1354(97)87666-1 |
0.434 |
|
| 1997 |
Honkomp S, Mockus L, Reklaitis G. Robust scheduling with processing time uncertainty Computers & Chemical Engineering. 21: S1055-S1060. DOI: 10.1016/S0098-1354(97)87642-9 |
0.403 |
|
| 1997 |
Doyle FJ, Pekny JF, Reklaitis G, Venkatasubramanian V. A graduate course in computer integrated process operations Computers & Chemical Engineering. 21: S255-S259. DOI: 10.1016/S0098-1354(97)87511-4 |
0.37 |
|
| 1997 |
Mockus L, Reklaitis G. Mathematical programming formulation for scheduling of batch operations based on nonuniform time discretization Computers & Chemical Engineering. 21: 1147-1156. DOI: 10.1016/S0098-1354(96)00325-0 |
0.383 |
|
| 1997 |
Applequist G, Samikoglu O, Pekny J, Reklaitis G. Issues in the use, design and evolution of process scheduling and planning systems Isa Transactions. 36: 81-121. DOI: 10.1016/S0019-0578(97)00018-9 |
0.337 |
|
| 1996 |
Subrahmanyam S, Pekny JF, Reklaitis GV. Decomposition Approaches to Batch Plant Design and Planning Industrial & Engineering Chemistry Research. 35: 1866-1876. DOI: 10.1021/Ie950467W |
0.322 |
|
| 1996 |
Mockus L, Reklaitis GV. Continuous time representation in batch/semicontinuous process scheduling: Randomized heuristics approach Computers & Chemical Engineering. 20: S1173-S1177. DOI: 10.1016/0098-1354(96)00203-7 |
0.348 |
|
| 1996 |
Jayakumar S, Reklaitis G. Chemical plant layout via graph partitioning—II. Multiple levels Computers & Chemical Engineering. 20: 563-578. DOI: 10.1016/0098-1354(95)00208-1 |
0.357 |
|
| 1996 |
Bassett M, Dave P, Doyle F, Kudva G, Pekny J, Reklaitis G, Subrahmanyam S, Miller D, Zentner M. Perspectives on model based integration of process operations Computers & Chemical Engineering. 20: 821-844. DOI: 10.1016/0098-1354(95)00184-0 |
0.409 |
|
| 1996 |
Bassett MH, Pekny JF, Reklaitis GV. Decomposition techniques for the solution of large-scale scheduling problems Aiche Journal. 42: 3373-3387. DOI: 10.1002/Aic.690421209 |
0.371 |
|
| 1995 |
Mignon D, Honkomp S, Reklaitis G. A framework for investigating schedule robustness under uncertainty Computers & Chemical Engineering. 19: 615-620. DOI: 10.1016/0098-1354(95)87103-9 |
0.339 |
|
| 1995 |
Subrahmanyam S, Bassett MH, Pekny JF, Reklaitis GV. Issues in solving large scale planning, design and scheduling problems in batch chemical plants Computers and Chemical Engineering. 19: 577-582. DOI: 10.1016/0098-1354(95)87097-0 |
0.336 |
|
| 1995 |
Lee B, Reklaitis G. Optimal scheduling of cyclic batch processes for heat integration—II. Extended problems Computers & Chemical Engineering. 19: 907-931. DOI: 10.1016/0098-1354(94)00092-3 |
0.331 |
|
| 1995 |
Lee B, Reklaitis G. Optimal scheduling of cyclic batch processes for heat integration—I. Basic formulation Computers & Chemical Engineering. 19: 883-905. DOI: 10.1016/0098-1354(94)00091-2 |
0.391 |
|
| 1995 |
Androulakis I, Reklaitis G. Asynchronous relaxation algorithms Computers & Chemical Engineering. 19: 827-845. DOI: 10.1016/0098-1354(94)00083-2 |
0.506 |
|
| 1995 |
Reklaitis G. Scheduling approaches for the batch process industries Isa Transactions. 34: 349-358. DOI: 10.1016/0019-0578(95)00032-1 |
0.432 |
|
| 1995 |
Yi G, Reklaitis GV. Reducing the effects of failure propagation in periodic processes involving intermediate storage with multiple input/multiple output streams Korean Journal of Chemical Engineering. 12: 123-131. DOI: 10.1007/Bf02697717 |
0.359 |
|
| 1995 |
Yi G, Reklaitis GV. The limiting volume of single input/single output intermediate storage in batch processes under periodic production failure Korean Journal of Chemical Engineering. 12: 100-109. DOI: 10.1007/Bf02697714 |
0.375 |
|
| 1995 |
Jayakumar S, Squires RG, Reklaitis GV, Andersen PK, Dietrich BK. The Purdue-Dow Styrene-Butadiene Polymerization Simulation Journal of Engineering Education. 84: 271-277. DOI: 10.1002/J.2168-9830.1995.Tb00177.X |
0.332 |
|
| 1994 |
Kanakamedala KB, Reklaitis GV, Venkatasubramanian V. Reactive schedule modification in multipurpose batch chemical plants Industrial & Engineering Chemistry Research. 33: 77-90. DOI: 10.1021/Ie00025A011 |
0.376 |
|
| 1994 |
Zentner M, Pekny J, Reklaitis G, Gupta J. Practical considerations in using model-based optimization for the scheduling and planning of batch/semicontinuous processes Journal of Process Control. 4: 259-280. DOI: 10.1016/0959-1524(94)80046-4 |
0.384 |
|
| 1994 |
Yi G, Reklaitis GV. Model based feedback inventory controller for intermediate storage in batch processes Journal of Process Control. 4: 227-237. DOI: 10.1016/0959-1524(94)80044-8 |
0.401 |
|
| 1994 |
Tsirukis A, Reklaitis G. Application of Generalized Hopfield Networks to discrete nonlinear optimization problems Computers & Chemical Engineering. 18: 459-468. DOI: 10.1016/0098-1354(94)88023-9 |
0.358 |
|
| 1994 |
Jayakumar S, Reklaitis G. Chemical plant layout via graph partitioning-1. Single level Computers & Chemical Engineering. 18: 441-458. DOI: 10.1016/0098-1354(94)88022-0 |
0.309 |
|
| 1994 |
Kudva G, Elkamel A, Pekny J, Reklaitis G. Heuristic algorithm for scheduling batch and semi-continuous plants with production deadlines, intermediate storage limitations and equipment changeover costs Computers & Chemical Engineering. 18: 859-875. DOI: 10.1016/0098-1354(93)E0018-5 |
0.377 |
|
| 1993 |
Tsirukis AG, Papageorgaki S, Reklaitis GV. Scheduling of multipurpose batch chemical plants with resource constraints Industrial & Engineering Chemistry Research. 32: 3037-3050. DOI: 10.1021/Ie00024A012 |
0.35 |
|
| 1993 |
Papageorgaki S, Reklaitis GV. Retrofitting a general multipurpose batch chemical plant Industrial & Engineering Chemistry Research. 32: 345-362. DOI: 10.1021/Ie00014A012 |
0.414 |
|
| 1993 |
Tsirukis AG, Reklaitis GV. Feature extraction algorithms for constrained global optimization II. Batch process scheduling application Annals of Operations Research. 42: 275-312. DOI: 10.1007/Bf02023178 |
0.377 |
|
| 1993 |
Tsirukis AG, Reklaitis GV. Feature extraction algorithms for constrained global optimization I. Mathematical foundation Annals of Operations Research. 42: 229-273. DOI: 10.1007/Bf02023177 |
0.341 |
|
| 1991 |
Wellons MC, Reklaitis GV. Scheduling of multipurpose batch chemical plants. 2. Multiple-product campaign formation and production planning Industrial & Engineering Chemistry Research. 30: 688-705. DOI: 10.1021/Ie00052A012 |
0.388 |
|
| 1991 |
Wellons MC, Reklaitis GV. Scheduling of multipurpose batch chemical plants. 1. Formation of single-product campaigns Industrial & Engineering Chemistry Research. 30: 671-688. DOI: 10.1021/Ie00052A011 |
0.354 |
|
| 1990 |
Papageorgaki S, Reklaitis GV. Optimal design of multipurpose batch plants. 2. A decomposition solution strategy Industrial & Engineering Chemistry Research. 29: 2062-2073. DOI: 10.1021/Ie00106A014 |
0.348 |
|
| 1990 |
Papageorgaki S, Reklaitis GV. Optimal design of multipurpose batch plants. 1. Problem formulation Industrial & Engineering Chemistry Research. 29: 2054-2062. DOI: 10.1021/Ie00106A013 |
0.404 |
|
| 1989 |
Tsirukis AG, Reklaitis GV, Tenorio MF. Nonlinear Optimization Using Generalized Hopfield Networks Neural Computation. 1: 511-521. DOI: 10.1162/Neco.1989.1.4.511 |
0.326 |
|
| 1989 |
LEE I, REKLAITIS G. TOWARD THE SYNTHESIS OF GLOBAL OPTIMUM HEAT EXCHANGER NETWORKS: THE UNPINCHED CASE Chemical Engineering Communications. 75: 57-88. DOI: 10.1080/00986448908940669 |
0.545 |
|
| 1989 |
Wellons M, Reklaitis G. Optimal schedule generation for a single-product production line—II. Identification of dominant unique path sequences Computers & Chemical Engineering. 13: 213-227. DOI: 10.1016/0098-1354(89)89019-2 |
0.345 |
|
| 1989 |
Wellons M, Reklaitis G. Optimal schedule generation for a single-product production line—I. Problem formulation Computers & Chemical Engineering. 13: 201-212. DOI: 10.1016/0098-1354(89)89018-0 |
0.333 |
|
| 1989 |
Wellons H, Reklaitis G. The design of multiproduct batch plants under uncertainty with staged expansion Computers & Chemical Engineering. 13: 115-126. DOI: 10.1016/0098-1354(89)89012-X |
0.342 |
|
| 1989 |
Lee ES, Reklaitis GV. Intermediate storage and operation of batch processes under batch failure Computers and Chemical Engineering. 13: 491-498. DOI: 10.1016/0098-1354(89)85031-8 |
0.306 |
|
| 1987 |
Yeh N, Reklaitis G. Synthesis and sizing of batch/semicontinuous processes: single product plants Computers & Chemical Engineering. 11: 639-654. DOI: 10.1016/0098-1354(87)87009-6 |
0.347 |
|
| 1987 |
Wiede W, Reklaitis G. Determination of completion times for serial multiproduct processes—3. Mixed intermediate storage systems Computers & Chemical Engineering. 11: 357-368. DOI: 10.1016/0098-1354(87)85017-2 |
0.357 |
|
| 1987 |
Wiede W, Reklaitis GV. Determination of completion times for serial multiproduct processes—2. A multiunit finite intermediate storage system Computers & Chemical Engineering. 11: 337-344. DOI: 10.1016/0098-1354(87)85015-9 |
0.328 |
|
| 1985 |
Shah SA, Okos MR, Reklaitis GV. Production Scheduling in Food Processing Plants Transactions of the Asabe. 28: 2071-2078. DOI: 10.13031/2013.32569 |
0.416 |
|
| 1985 |
Shah SA, Okos MR, Reklaitis GV. A SLAM Based Computer Simulation Model of a Meat Processing Plant Transactions of the Asabe. 28: 1698-1703. DOI: 10.13031/2013.32502 |
0.364 |
|
| 1985 |
Karimi IA, Reklaitis GV. Deterministic variability analysis for intermediate storage in noncontinuous processes: Part II: Storage sizing for serial systems Aiche Journal. 31: 1528-1537. DOI: 10.1002/Aic.690310916 |
0.322 |
|
| 1985 |
Karimi IA, Reklaitis GV. Deterministic variability analysis for intermediate storage in noncontinuous processes. Part I: Allowability conditions Aiche Journal. 31: 1516-1527. DOI: 10.1002/Aic.690310915 |
0.35 |
|
| 1985 |
Karimi IA, Reklaitis GV. Intermediate storage in noncontinuous processes involving stages of parallel units Aiche Journal. 31: 44-52. DOI: 10.1002/Aic.690310104 |
0.34 |
|
| 1984 |
Joglekar G, Reklaitis G. A simulator for batch and semi-conductors processes Computers & Chemical Engineering. 8: 315-327. DOI: 10.1016/0098-1354(84)90001-2 |
0.357 |
|
| 1984 |
Clark S, Reklaitis G. Investigation of strategies for executing sequential modular simulations Computers & Chemical Engineering. 8: 205-218. DOI: 10.1016/0098-1354(84)87008-8 |
0.313 |
|
| 1984 |
Petroulas T, Reklaitis GV. Computer-aided synthesis and design of plant utility systems Aiche Journal. 30: 69-78. DOI: 10.1002/Aic.690300112 |
0.317 |
|
| 1983 |
Shah SA, Okos MR, Reklaitis GV. A Linear Programming Model for a Meat Processing Plant Transactions of the Asabe. 26: 1584-1588. DOI: 10.13031/2013.34174 |
0.416 |
|
| 1983 |
Shah SA, Okos MR, Reklaitis GV. Simulation Modeling of a Sausage Manufacturing Plant Transactions of the Asabe. 26: 635-640. DOI: 10.13031/2013.33992 |
0.369 |
|
| 1983 |
Overturf BW, Reklaitis GV. Fluidized‐bed reactor model with generalized particle balances. Part I: Formulation and solution Aiche Journal. 29: 813-820. DOI: 10.1002/Aic.690290516 |
0.319 |
|
| 1983 |
Karimi IA, Reklaitis GV. Optimal selection of intermediate storage tank capacity in a periodic batch/semicontinuous process Aiche Journal. 29: 588-596. DOI: 10.1002/Aic.690290411 |
0.392 |
|
| 1982 |
Knopf FC, Okos MR, Reklaitis GV. Optimal design of batch/semicontinuous processes Industrial & Engineering Chemistry Process Design and Development. 21: 79-86. DOI: 10.1021/I200016A015 |
0.343 |
|
| 1981 |
Sood M, Wang T, Reklaitis G. Computer aided flowsheet drawing—II Computers & Chemical Engineering. 5: 289-298. DOI: 10.1016/0098-1354(81)87020-2 |
0.352 |
|
| 1979 |
McLane M, Sood MK, Reklaitis GV. A hierarchical strategy for large scale process calculations Computers & Chemical Engineering. 3: 383-394. DOI: 10.1016/0098-1354(79)80060-5 |
0.379 |
|
| 1979 |
Sood MK, Reklaitis GV, Woods JM. SOLUTION OF MATERIAL BALANCES FOR FLOWSHEETS MODELLED WITH ELEMENTARY MODULES: THE UNCONSTRAINED CASE Aiche J. 25: 209-219. DOI: 10.1002/Aic.690250202 |
0.304 |
|
| 1975 |
Friedman Y, Reklaitis GV. Flexible solutions to linear programs under uncertainty: Inequality constraints Aiche Journal. 21: 77-83. DOI: 10.1002/Aic.690210109 |
0.301 |
|
| 1974 |
Fruit WM, Reklaitis GV, Woods JM. Simulation of multiproduct batch chemical processes The Chemical Engineering Journal. 8: 199-211. DOI: 10.1016/0300-9467(74)85025-2 |
0.338 |
|
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