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Andrew Allman - Publications

Affiliations: 
2018 Chemical Engineering University of Minnesota, Twin Cities, Minneapolis, MN 
 2020- Chemical Engineering University of Michigan, Ann Arbor, Ann Arbor, MI 
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14 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Allman A, Zhang Q. Distributed cooperative industrial demand response Journal of Process Control. 86: 81-93. DOI: 10.1016/J.Jprocont.2019.12.011  0.437
2020 Allman A, Zhang Q. Dynamic location of modular manufacturing facilities with relocation of individual modules European Journal of Operational Research. 286: 494-507. DOI: 10.1016/J.Ejor.2020.03.045  0.427
2019 O'Brien C, Allman A, Daoutidis P, Hu WS. Kinetic model optimization and its application to mitigating the Warburg effect through multiple enzyme alterations. Metabolic Engineering. PMID 31400493 DOI: 10.1016/J.Ymben.2019.08.005  0.584
2019 Allman A, Daoutidis P, Arnold WA, Cussler EL. Efficient Water Pollution Abatement Industrial & Engineering Chemistry Research. 58: 22483-22487. DOI: 10.1021/Acs.Iecr.9B03241  0.545
2019 Daoutidis P, Allman A, Khatib S, Moharir MA, Palys MJ, Pourkargar DB, Tang W. Distributed decision making for intensified process systems Current Opinion in Chemical Engineering. 25: 75-81. DOI: 10.1016/J.Coche.2018.12.007  0.634
2019 Allman A, Tang W, Daoutidis P. DeCODe: a community-based algorithm for generating high-quality decompositions of optimization problems Optimization and Engineering. 20: 1067-1084. DOI: 10.1007/S11081-019-09450-5  0.641
2019 Daoutidis P, Tang W, Allman A. Decomposition of control and optimization problems by network structure: Concepts, methods, and inspirations from biology Aiche Journal. 65. DOI: 10.1002/Aic.16708  0.602
2018 Palys MJ, Allman A, Daoutidis P. Exploring the Benefits of Modular Renewable-Powered Ammonia Production: A Supply Chain Optimization Study Industrial & Engineering Chemistry Research. 58: 5898-5908. DOI: 10.1021/Acs.Iecr.8B04189  0.559
2018 Tang W, Allman A, Pourkargar DB, Daoutidis P. Reprint of: Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection Computers & Chemical Engineering. 116: 144-155. DOI: 10.1016/J.Compchemeng.2018.10.011  0.665
2018 Tang W, Allman A, Pourkargar DB, Daoutidis P. Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection Computers & Chemical Engineering. 111: 43-54. DOI: 10.1016/j.compchemeng.2017.12.010  0.58
2018 Allman A, Daoutidis P. Optimal scheduling for wind-powered ammonia generation: Effects of key design parameters Chemical Engineering Research and Design. 131: 5-15. DOI: 10.1016/J.Cherd.2017.10.010  0.607
2018 Allman A, Palys MJ, Daoutidis P. Scheduling-informed optimal design of systems with time-varying operation: A wind-powered ammonia case study Aiche Journal. 65: e16434. DOI: 10.1002/Aic.16434  0.55
2017 Allman A, Daoutidis P, Tiffany D, Kelley S. A framework for ammonia supply chain optimization incorporating conventional and renewable generation Aiche Journal. 63: 4390-4402. DOI: 10.1002/Aic.15838  0.566
2016 Allman A, Daoutidis P. Optimal design of synergistic distributed renewable fuel and power systems Renewable Energy. DOI: 10.1016/J.Renene.2016.03.051  0.628
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