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 …
Application of operational research techniques in operating room scheduling problems: literature overview
Increased healthcare costs are pushing hospitals to reduce costs and increase the quality of
care. Operating rooms are the most important source of income and expense for hospitals …
care. Operating rooms are the most important source of income and expense for hospitals …
Two-stage robust optimization approach to elective surgery and downstream capacity planning
Scheduling elective surgeries is a complicated task due to the coupled effects of multiple
sources of uncertainty and the impact of the proposed schedule on the downstream units. In …
sources of uncertainty and the impact of the proposed schedule on the downstream units. In …
[HTML][HTML] A new formulation and solution for the nurse scheduling problem: A case study in Egypt
Abstract Nurse Scheduling Problem (NSP) is the assignment of a number of nurses to a
number of shifts in order to satisfy hospital's demand. The objectives of NSP are the …
number of shifts in order to satisfy hospital's demand. The objectives of NSP are the …
Scheduling surgery groups considering multiple downstream resources
Surgery groups are clustered surgery procedure types that share comparable characteristics
(eg expected duration). Scheduling OR blocks leaves many options for operational surgery …
(eg expected duration). Scheduling OR blocks leaves many options for operational surgery …
A stochastic programming approach to perform hospital capacity assessments
This article introduces a bespoke risk averse stochastic programming approach for
performing a strategic level assessment of hospital capacity (QAHC). We include stochastic …
performing a strategic level assessment of hospital capacity (QAHC). We include stochastic …
Planning and scheduling operating rooms for elective and emergency surgeries with uncertain duration
LR Kroer, K Foverskov, C Vilhelmsen… - Operations research for …, 2018 - Elsevier
In this paper we investigate the planning of operating rooms at Rigshospitalet, a large
Danish hospital. Each operation must be assigned to a specific operating room and also be …
Danish hospital. Each operation must be assigned to a specific operating room and also be …
Case mix-based resource allocation under uncertainty in hospitals: Physicians being the scarce resource
Hospitals are struggling to maintain a balance between demand and the capacity of
resources. It is difficult because demand is highly uncertain and resource capacity is limited …
resources. It is difficult because demand is highly uncertain and resource capacity is limited …
A hybrid simulation and optimisation approach for capacity allocation of operating rooms under uncertainty
Operating rooms are the most important assets of hospitals whose capacity allocation to
different specialties is critical and challenging. This paper proposes a hybrid simulation and …
different specialties is critical and challenging. This paper proposes a hybrid simulation and …
Optimizing the master surgery schedule in a private hospital
This paper proposes a new mixed-integer linear programming model to build cyclic master
surgery schedules (MSSs) for a case study of a medium-sized Portuguese private hospital …
surgery schedules (MSSs) for a case study of a medium-sized Portuguese private hospital …