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Mike Hewitt
Mike Hewitt
Professor of Information Systems and Supply Chain Management, Loyola University Chicago
Verified email at luc.edu
Title
Cited by
Cited by
Year
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
1942010
The continuous-time service network design problem
N Boland, M Hewitt, L Marshall, M Savelsbergh
Operations research 65 (5), 1303-1321, 2017
1832017
Service network design with resource constraints
TG Crainic, M Hewitt, M Toulouse, DM Vu
Transportation Science 50 (4), 1380-1393, 2016
1332016
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
1192014
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
982013
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
852019
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
832018
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
762014
The technician routing problem with experience-based service times
X Chen, BW Thomas, M Hewitt
Omega 61, 49-61, 2016
722016
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
682020
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
682015
On the environmental impacts of pallet management operations
AM Bilbao, AL Carrano, M Hewitt, BK Thorn
Management Research Review 34 (11), 1222-1236, 2011
642011
Adaptive large neighborhood search for the time-dependent profitable pickup and delivery problem with time windows
P Sun, LP Veelenturf, M Hewitt, T Van Woensel
Transportation Research Part E: Logistics and Transportation Review 138, 101942, 2020
632020
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
592013
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
542017
The price of discretizing time: a study in service network design
N Boland, M Hewitt, L Marshall, M Savelsbergh
EURO Journal on Transportation and Logistics 8 (2), 195-216, 2019
482019
An exact bidirectional A approach for solving resource‐constrained shortest path problems
BW Thomas, T Calogiuri, M Hewitt
Networks 73 (2), 187-205, 2019
482019
Partial Benders decomposition strategies for two-stage stochastic integer programs
TG Crainic, W Rei, M Hewitt, F Maggioni
CIRRELT, 2016
472016
Partial benders decomposition: general methodology and application to stochastic network design
TG Crainic, M Hewitt, F Maggioni, W Rei
Transportation Science 55 (2), 414-435, 2021
452021
Solving the traveling salesman problem with time windows through dynamically generated time-expanded networks
N Boland, M Hewitt, DM Vu, M Savelsbergh
Integration of AI and OR Techniques in Constraint Programming: 14th …, 2017
45*2017
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