In my research, we consider the opportunities and challenges
of introducing operational flexibility in freight transportation.
With more flexibility, it is possible to significantly improve
system efficiency (greater utilization of employees and equipment,
reduction in empty miles traveled, etc.). At the same time, increasing
flexibility expands the set of operational choices (possible
vehicle routes, load assignments, etc.) which complicates already
difficult routing and scheduling problems. Often analysis of
these complex freight transportation systems requires approximations
and simplifications in modeling and solution methods to obtain
solutions with acceptable computational effort (i.e., computer
time and memory).
Period Vehicle Routing Problem with
Service Choice: Extending the Period Vehicle Routing Problem
to consider service choice endogeneously. Our work has introduced
the PVRP with service choice (PVRP-SC) to allow visit frequency
to become a decision of the model;
developed an exact solution method for the PVRP which can solve
the PVRP-SC
as well; and created the first set of quantitative measures of
the operational
complexity for the PVRP. Joint work with Michal
Tzur and Peter
Francis. We are currently exploring the trade-offs between
operational flexibility and complexity with UPS, focusing on
local pick-up and delivery operations.
Multi-resource routing problems: Developing
new modeling and solution techniques for large-scale routing
and scheduling problems involving multiple resources. Joint work
with Ph.D. student Guangming
Zhang. We are currently working on dynamic extensions with
Alan
Erera.
Inventory and Routing Problems in food
distribution: Working with the Greater Chicago Food Depository
to improve their Food Rescue Program, which FRP distributes perishable
food from donors (e.g., supermarkets and restaurants) to agencies
(shelters and soup kitchens). The aim of this project is to develop
mathematical models and solution methods for related vehicle
routing problems (assigning donors and agencies to routes and
sequencing stops within each route) and inventory allocation
problems (determining the amount to distribute to each agency).
Joint work with Seyed
Iravani and Ph.D. student Robert
Lien.
Last mile distribution in humanitarian
relief: Studying the last mile distribution for humanitarian
relief chains, which refers to delivery of relief supplies from
local distribution centers to the affected areas. The main operational
decisions related to last mile distribution are allocating the
relief supplies at the local distribution centers among the demand
locations, and determining the delivery schedules and routes
for each vehicle throughout the planning horizon.. Joint work
with Benita
Beamon and Ph.D. student Burcu Balcik.
Transshipment network design: Exploring
impact of network design on cost and reliability of transshipment.
Joint work with Michal
Tzur and Seyed
Iravani and Ph.D. student Robert
Lien.
Design of large-scale logistics systems:
Integrating continuous approximation and numerical optimization
methods to develop design guidelines and operating plans for
large-scale multimode, multiproduct logistics systems. Joint
work with Carlos
Daganzo.
Coordination of drayage operations:
Investigating strategies to intelligently coordinate the
movement of trailers and containers, with a focus on the Chicago
freight interchange, a region unique in its size and complexity
of operations. Joint work with Thanasis
Ziliaskopoulos and Kazuya
Kawamura.
Interlibrary loan services: The
North Suburban Library System (NSLS) delivers interlibrary loan
materials to its 764 member libraries in the Illinois suburbs
north of Chicago. This research is exploring creative solutions
to the operational challenges of NSLS. These solutions will help
NSLS manage its vehicle fleet and optimize operations under budget
constraints. Joint work with Michal
Tzur and NSLS.