Mike Hewitt
Mike Hewitt
Professor of Information Systems and Supply Chain Management, Loyola University Chicago
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Combining exact and heuristic approaches for the capacitated fixed-charge network flow problem
M Hewitt, GL Nemhauser, MWP Savelsbergh
INFORMS Journal on Computing 22 (2), 314-325, 2010
The continuous-time service network design problem
N Boland, M Hewitt, L Marshall, M Savelsbergh
Operations research 65 (5), 1303-1321, 2017
Service network design with resource constraints
TG Crainic, M Hewitt, M Toulouse, DM Vu
Transportation Science 50 (4), 1380-1393, 2016
Scenario grouping in a progressive hedging-based meta-heuristic for stochastic network design
TG Crainic, M Hewitt, W Rei
Computers & Operations Research 43, 90-99, 2014
Improved load plan design through integer programming based local search
A Erera, M Hewitt, M Savelsbergh, Y Zhang
Transportation Science 47 (3), 412-427, 2013
State of the Practice: A Review of the Application of OR/MS in Freight Transportation
MF Gorman, JP Clarke, AH Gharehgozli, M Hewitt, R de Koster, D Roy
Interfaces 44 (6), 535-554, 2014
On the environmental impacts of pallet management operations
AM Bilbao, AL Carrano, M Hewitt, BK Thorn
Management Research Review, 2011
The technician routing problem with experience-based service times
X Chen, BW Thomas, M Hewitt
Omega 61, 49-61, 2016
Integer programming techniques for solving non-linear workforce planning models with learning
M Hewitt, A Chacosky, SE Grasman, BW Thomas
European Journal of Operational Research 242 (3), 942-950, 2015
A branch-and-price guided search approach to maritime inventory routing
M Hewitt, G Nemhauser, M Savelsbergh, JH Song
Computers & Operations Research 40 (5), 1410-1419, 2013
The time-dependent pickup and delivery problem with time windows
P Sun, LP Veelenturf, M Hewitt, T Van Woensel
Transportation Research Part B: Methodological 116, 1-24, 2018
Service network design with mixed autonomous fleets
YO Scherr, BAN Saavedra, M Hewitt, DC Mattfeld
Transportation Research Part E: Logistics and Transportation Review 124, 40-55, 2019
Partial Benders decomposition strategies for two-stage stochastic integer programs
TG Crainic, W Rei, M Hewitt, F Maggioni
Dynamic discretization discovery for solving the time-dependent traveling salesman problem with time windows
DM Vu, M Hewitt, N Boland, M Savelsbergh
Transportation Science 54 (3), 703-720, 2020
Multi-period technician scheduling with experience-based service times and stochastic customers
X Chen, BW Thomas, M Hewitt
Computers & Operations Research 82, 1-14, 2017
Planning strategies for home health care delivery
M Hewitt, M Nowak, N Nataraj
Asia-Pacific Journal of Operational Research 33 (05), 1650041, 2016
Branch-and-price guided search for integer programs with an application to the multicommodity fixed-charge network flow problem
M Hewitt, G Nemhauser, MWP Savelsbergh
INFORMS Journal on Computing 25 (2), 302-316, 2013
Creating schedules and computing operating costs for LTL load plans
AL Erera, M Hewitt, MWP Savelsbergh, Y Zhang
Computers & Operations Research 40 (3), 691-702, 2013
Solving the traveling salesman problem with time windows through dynamically generated time-expanded networks
N Boland, M Hewitt, DM Vu, M Savelsbergh
International Conference on AI and OR Techniques in Constraint Programming …, 2017
Service network design for same day delivery with mixed autonomous fleets
YO Scherr, BA Neumann-Saavedra, M Hewitt, DC Mattfeld
Transportation research procedia 30, 23-32, 2018
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