Andrew Allman
Andrew Allman
Department of Chemical Engineering, University of Michigan
Preverjeni e-poštni naslov na umich.edu
Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection
W Tang, A Allman, DB Pourkargar, P Daoutidis
Computers & Chemical Engineering 111, 43-54, 2018
Scheduling‐informed optimal design of systems with time‐varying operation: A wind‐powered ammonia case study
A Allman, MJ Palys, P Daoutidis
AIChE Journal 65 (7), e16434, 2019
Optimal scheduling for wind-powered ammonia generation: Effects of key design parameters
A Allman, P Daoutidis
Chemical Engineering Research and Design 131, 5-15, 2018
Exploring the benefits of modular renewable-powered ammonia production: A supply chain optimization study
MJ Palys, A Allman, P Daoutidis
Industrial & Engineering Chemistry Research 58 (15), 5898-5908, 2018
A framework for ammonia supply chain optimization incorporating conventional and renewable generation
A Allman, P Daoutidis, D Tiffany, S Kelley
AIChE Journal 63 (10), 4390-4402, 2017
Dynamic location of modular manufacturing facilities with relocation of individual modules
A Allman, Q Zhang
European Journal of Operational Research 286 (2), 494-507, 2020
Optimal design of synergistic distributed renewable fuel and power systems
A Allman, P Daoutidis
Renewable Energy 100, 78-89, 2017
Decomposition of control and optimization problems by network structure: Concepts, methods, and inspirations from biology
P Daoutidis, W Tang, A Allman
AIChE Journal 65 (10), e16708, 2019
Distributed cooperative industrial demand response
A Allman, Q Zhang
Journal of Process Control 86, 81-93, 2020
Biomass waste-to-energy supply chain optimization with mobile production modules
A Allman, C Lee, M Martín, Q Zhang
Computers & Chemical Engineering 150, 107326, 2021
DeCODe: a community-based algorithm for generating high-quality decompositions of optimization problems
A Allman, W Tang, P Daoutidis
Optimization and Engineering 20, 1067-1084, 2019
Kinetic model optimization and its application to mitigating the Warburg effect through multiple enzyme alterations
C O'Brien, A Allman, P Daoutidis, WS Hu
Metabolic engineering 56, 154-164, 2019
Distributed decision making for intensified process systems
P Daoutidis, A Allman, S Khatib, MA Moharir, MJ Palys, DB Pourkargar, ...
Current Opinion in Chemical Engineering 25, 75-81, 2019
Towards a generic algorithm for identifying high-quality decompositions of optimization problems
A Allman, W Tang, P Daoutidis
Computer Aided Chemical Engineering 44, 943-948, 2018
Ammonia supply chains: A new framework for renewable generation with a case study for Minnesota
WA Allman, P Daoutidis
Computer Aided Chemical Engineering 38, 1395-1400, 2016
Efficient water pollution abatement
A Allman, P Daoutidis, WA Arnold, EL Cussler
Industrial & Engineering Chemistry Research 58 (50), 22483-22487, 2019
Branch-and-price for a class of nonconvex mixed-integer nonlinear programs
A Allman, Q Zhang
Journal of Global Optimization 81, 861-880, 2021
Distributed chemicals and electricity production with regulated energy exchange
A Allman, M Zachar, P Daoutidis
At Foundations of Computer Aided Process Operations/Chemical Process Control …, 2017
On the Benefit of Modular and Mobile Production Units in Biomass Waste-to-energy Supply Chains
A Allman, C Lee, M Martín, Q Zhang
Computer Aided Chemical Engineering 48, 1363-1368, 2020
Distributed fairness-guided optimization for coordinated demand response in multi-stakeholder process networks
A Allman, Q Zhang
Computers & Chemical Engineering 161, 107777, 2022
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