User profiles for Karmel S. Shehadeh
Karmel S. ShehadehLehigh University Verified email at lehigh.edu Cited by 498 |
Reducing disparities in transportation distance in a stochastic facility location problem
KS Shehadeh - Transportation Research Part C: Emerging …, 2023 - Elsevier
This paper focuses on improving equity in a well-known stochastic facility location problem (FLP).
Specifically, given sets of potential facility locations and customers with random …
Specifically, given sets of potential facility locations and customers with random …
A distributionally robust optimization approach for outpatient colonoscopy scheduling
We consider the outpatient colonoscopy scheduling problem, recognizing the impact of pre-procedure
bowel preparation (prep) quality on the variability in colonoscopy duration. Data …
bowel preparation (prep) quality on the variability in colonoscopy duration. Data …
Stochastic optimization models for location and inventory prepositioning of disaster relief supplies
KS Shehadeh, EL Tucker - Transportation Research Part C: Emerging …, 2022 - Elsevier
We consider the problem of preparing for a disaster season by determining where to open
warehouses and how much relief item inventory to preposition in each. Then, after each …
warehouses and how much relief item inventory to preposition in each. Then, after each …
Fleet sizing and allocation for on-demand last-mile transportation systems
The last-mile problem refers to the provision of travel service from the nearest public
transportation node to home or other destination. Last-Mile Transportation Systems (LMTS), which …
transportation node to home or other destination. Last-Mile Transportation Systems (LMTS), which …
Distributionally robust optimization approaches for a stochastic mobile facility fleet sizing, routing, and scheduling problem
KS Shehadeh - Transportation Science, 2023 - pubsonline.informs.org
We propose two distributionally robust optimization (DRO) models for a mobile facility (MF)
fleet-sizing, routing, and scheduling problem (MFRSP) with time-dependent and random …
fleet-sizing, routing, and scheduling problem (MFRSP) with time-dependent and random …
A distributionally robust optimization approach for stochastic elective surgery scheduling with limited intensive care unit capacity
KS Shehadeh, R Padman - European Journal of Operational Research, 2021 - Elsevier
In this paper, we study the decision process of assigning elective surgery patients to available
surgical blocks in multiple operating rooms (OR) under random surgery durations, random …
surgical blocks in multiple operating rooms (OR) under random surgery durations, random …
Analysis of models for the stochastic outpatient procedure scheduling problem
In this paper, we present a new stochastic mixed-integer linear programming model for the
Stochastic Outpatient Procedure Scheduling Problem (SOPSP). In this problem, we schedule …
Stochastic Outpatient Procedure Scheduling Problem (SOPSP). In this problem, we schedule …
Stochastic optimization approaches for elective surgery scheduling with downstream capacity constraints: Models, challenges, and opportunities
KS Shehadeh, R Padman - Computers & Operations Research, 2022 - Elsevier
Elective surgery patients have surgery in the operating room (OR), and then recover in one
or more downstream recovery units for several consecutive hours or days after surgery. …
or more downstream recovery units for several consecutive hours or days after surgery. …
Using stochastic programming to solve an outpatient appointment scheduling problem with random service and arrival times
KS Shehadeh, AEM Cohn… - Naval Research Logistics …, 2021 - Wiley Online Library
We study a stochastic outpatient appointment scheduling problem (SOASP) in which we need
to design a schedule and an adaptive rescheduling (ie, resequencing or declining) policy …
to design a schedule and an adaptive rescheduling (ie, resequencing or declining) policy …
Routing and resource allocation in non-profit settings with equity and efficiency measures under demand uncertainty
Motivated by food distribution operations for non-profit organizations, we study a variant of the
stochastic routing-allocation problem under demand uncertainty, in which one decides the …
stochastic routing-allocation problem under demand uncertainty, in which one decides the …