Andrew Allman
Andrew Allman
Department of Chemical Engineering, University of Michigan
Verified email at umich.edu
Title
Cited by
Cited by
Year
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
392018
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
292019
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
242017
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
222018
Optimal design of synergistic distributed renewable fuel and power systems
A Allman, P Daoutidis
Renewable Energy 100, 78-89, 2017
212017
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
132018
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
122019
DeCODe: a community-based algorithm for generating high-quality decompositions of optimization problems
A Allman, W Tang, P Daoutidis
Optimization and Engineering 20 (4), 1067-1084, 2019
102019
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
92019
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
92018
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
62019
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
52020
Distributed cooperative industrial demand response
A Allman, Q Zhang
Journal of Process Control 86, 81-93, 2020
32020
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
22017
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
22016
Dynamic location and relocation of modular manufacturing facilities
A Allmana, Q Zhanga
Eur. J. Oper. Res., 2020
12020
Supply Chain and Logistics
CE Gounaris, A Allman
2020 Virtual AIChE Annual Meeting, 2020
2020
Branch-and-Price for a Class of Nonconvex Mixed-Integer Nonlinear Programs
A Allman, Q Zhang
arXiv preprint arXiv:2001.01794, 2020
2020
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
2020
Smart manufacturing: A sustainable energy perspective
P Daoutidis, A Allman, MJ Palys
Smart Manufacturing, 423-454, 2020
2020
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