Andrew Allman
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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"Andrew Allman"Parents
Sign in to add mentor| Prodromos Daoutidis | grad student | 2018 | UMN |
| Qi Zhang | post-doc | 2019-2020 | UMN (Chemistry Tree) |
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Publications
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| Allman A, Zhang Q. (2020) Distributed cooperative industrial demand response Journal of Process Control. 86: 81-93 |
| Allman A, Zhang Q. (2020) Dynamic location of modular manufacturing facilities with relocation of individual modules European Journal of Operational Research. 286: 494-507 |
| O'Brien C, Allman A, Daoutidis P, et al. (2019) Kinetic model optimization and its application to mitigating the Warburg effect through multiple enzyme alterations. Metabolic Engineering |
| Allman A, Daoutidis P, Arnold WA, et al. (2019) Efficient Water Pollution Abatement Industrial & Engineering Chemistry Research. 58: 22483-22487 |
| Daoutidis P, Allman A, Khatib S, et al. (2019) Distributed decision making for intensified process systems Current Opinion in Chemical Engineering. 25: 75-81 |
| Allman A, Tang W, Daoutidis P. (2019) DeCODe: a community-based algorithm for generating high-quality decompositions of optimization problems Optimization and Engineering. 20: 1067-1084 |
| Daoutidis P, Tang W, Allman A. (2019) Decomposition of control and optimization problems by network structure: Concepts, methods, and inspirations from biology Aiche Journal. 65 |
| Palys MJ, Allman A, Daoutidis P. (2018) Exploring the Benefits of Modular Renewable-Powered Ammonia Production: A Supply Chain Optimization Study Industrial & Engineering Chemistry Research. 58: 5898-5908 |
| Tang W, Allman A, Pourkargar DB, et al. (2018) Reprint of: Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection Computers & Chemical Engineering. 116: 144-155 |
| Tang W, Allman A, Pourkargar DB, et al. (2018) Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection Computers & Chemical Engineering. 111: 43-54 |