Stochastic optimization approaches for elective surgery scheduling with downstream capacity constraints: Models, challenges, and opportunities

2022 ◽  
Vol 137 ◽  
pp. 105523
Author(s):  
Karmel S. Shehadeh ◽  
Rema Padman
Keyword(s):  
Stochastic Optimization ◽  
Elective Surgery ◽  
Capacity Constraints ◽  
Surgery Scheduling ◽  
Challenges And Opportunities

An integer programming approach to elective surgery scheduling

OR Spectrum ◽  
2011 ◽  
Vol 34 (2) ◽  
pp. 407-427 ◽  
Author(s):  
Inês Marques ◽  
M. Eugénia Captivo ◽  
Margarida Vaz Pato
Keyword(s):  
Integer Programming ◽  
Elective Surgery ◽  
Programming Approach ◽  
Surgery Scheduling

A bicriteria heuristic for an elective surgery scheduling problem

2014 ◽  
Vol 18 (3) ◽  
pp. 251-266 ◽  
Author(s):  
Inês Marques ◽  
M. Eugénia Captivo ◽  
Margarida Vaz Pato
Keyword(s):  
Elective Surgery ◽  
Scheduling Problem ◽  
Surgery Scheduling

scholarly journals Designing a Fiscal Framework for a Prospective Commodity-producer: Options for Lebanon

2016 ◽  
Vol 12 (3) ◽  
Author(s):  
Mariusz Jarmuzek ◽  
Diego Mesa Puyo ◽  
Najla Nakhle
Keyword(s):  
Mediterranean Basin ◽  
Capacity Constraints ◽  
Institutional Arrangements ◽  
Fiscal Sustainability ◽  
Fair Share ◽  
Challenges And Opportunities ◽  
Potential Resource ◽  
The Government ◽  
Fiscal Regime ◽  
Short Horizon

AbstractLebanon is expected to have gas resources in its Mediterranean basin, and these could turn the country into a natural gas producer over the next decade. Lebanon’s economy and institutions will thus need to adapt to the challenges and opportunities that such change will bring. In this paper, we address how Lebanon’s fiscal framework will need to be reformulated to take into account potential resource revenue. Designing a fiscal regime appropriately is an absolute prerequisite to make sure that the government can receive a fair share of the resources while investors face appropriate incentives to invest and develop the sector. This step should be followed by setting macro-fiscal anchors and supporting institutions. The prospective framework should be focused on ensuring fiscal sustainability and intergenerational equity, given the estimated relatively short horizon of Lebanon’s gas resources. Strong institutional arrangements also need to underpin the prospective framework, to ensure that the pace of resource wealth’s use is set in line with Lebanon’s capacity constraints.

scholarly journals SIMULATION-BASED OPTIMIZATION FOR THE SCHEDULING OF ELECTIVE SURGERY UNDER UNCERTAINTY AND DOWNSTREAM CAPACITY CONSTRAINTS

2020 ◽  
Vol 50 (2) ◽  
pp. 127-132
Author(s):  
Guillermo Andrés Durand ◽  
J. Alberto Bandoni
Keyword(s):  
Intensive Care ◽  
Operations Research ◽  
Elective Surgery ◽  
Optimal Schedule ◽  
Capacity Constraints ◽  
Research Field ◽  
Optimal Scheduling ◽  
Surgical Intensive Care ◽  
Computational Performance ◽  
Simulation Based

The generation of an optimal schedule of elective surgery cases for a hospital surgery services unit is a well-known problem in the operations research field. The complexity of the problem is greatly compounded when uncertainties in the parameters are considered and is an issue that has been addressed in few works in the literature. Uncertainties appear in surgery durations and the availability of downstream resources such as surgical intensive care units (SICU), presenting large deviations from their expected value and impacting in the performance of the scheduling process. The technique presented here addresses the uncertainties in the optimal scheduling of a given set of elective surgery cases by means of simulated-based optimization. The main advantage of this approach over previous works is that detailed systems’ simulations can be constructed without losing computational performance, thus improving the robustness of the scheduling solution.

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