Journal ArticleDOI
Stochastic optimization approaches for elective surgery scheduling with downstream capacity constraints: Models, challenges, and opportunities
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TLDR
The art of formulating and solving a class of stochastic resource-constrained scheduling problems for elective surgery scheduling and downstream capacity planning is described and areas of opportunity for developing tractable, implementable, and data-driven approaches that might be applicable within and outside healthcare operations.About:
This article is published in Computers & Operations Research.The article was published on 2022-01-01. It has received 18 citations till now. The article focuses on the topics: Scheduling (production processes) & Downstream (manufacturing).read more
Citations
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Journal ArticleDOI
Ambiguous Chance-Constrained Binary Programs under Mean-Covariance Information
TL;DR: This work considers chance-constrained binary programs, where each row of the inequalities that involve uncertainty needs to be satisfied probabilistically.
Journal ArticleDOI
How does the hospital make a safe and stable elective surgery plan during COVID-19 pandemic?
Zongli Dai,Jian-Jun Wang,Jim Shi +2 more
TL;DR: Zhang et al. as discussed by the authors proposed a hybrid algorithm (GA-VNS-H) based on genetic algorithm, variable neighborhood search, and heuristics for problem traits to deal with uncertainty in the same healthcare system.
Flexible Hospital-wide Elective Patient Scheduling
TL;DR: In this paper, the authors extend Gartner and Kolisch's 2014 model to include admission decisions and flexible patient-to-specialty assignments to account for multi-morbid patients.
Journal ArticleDOI
Balancing control and autonomy in master surgery scheduling: Benefits of ICU quotas for recovery units
TL;DR: In this article , the authors proposed a mixed-integer program to determine the allocation of the new block types within either a given or a new master surgery schedule to minimize the maximum workload in downstream units.
Journal ArticleDOI
Balancing control and autonomy in master surgery scheduling: Benefits of ICU quotas for recovery units
TL;DR: In this paper , the authors proposed a mixed-integer program to determine the allocation of the new block types within either a given or a new master surgery schedule to minimize the maximum workload in downstream units.
References
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Book
Scheduling: Theory, Algorithms, and Systems
TL;DR: Scheduling will serve as an essential reference for professionals working on scheduling problems in manufacturing and computing environments and Graduate students in operations management, operations research, industrial engineering and computer science will find the book to be an accessible and invaluable resource.
BookDOI
Introduction to Stochastic Programming
John R. Birge,Franois Louveaux +1 more
TL;DR: This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability to help students develop an intuition on how to model uncertainty into mathematical problems.
Journal ArticleDOI
The Price of Robustness
Dimitris Bertsimas,Melvyn Sim +1 more
TL;DR: In this paper, the authors propose an approach that attempts to make this trade-off more attractive by flexibly adjusting the level of conservatism of the robust solutions in terms of probabilistic bounds of constraint violations.
The price of the robustness
D Bertsimas,M Sim +1 more
TL;DR: An approach is proposed that flexibly adjust the level of conservatism of the robust solutions in terms of probabilistic bounds of constraint violations, and an attractive aspect of this method is that the new robust formulation is also a linear optimization problem, so it naturally extend to discrete optimization problems in a tractable way.
Book
Lectures on Stochastic Programming: Modeling and Theory
TL;DR: The authors dedicate this book to Julia, Benjamin, Daniel, Natan and Yael; to Tsonka, Konstatin and Marek; and to the Memory of Feliks, Maria, and Dentcho.