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INTEGRATIVE DECISION MAKING ON OPERATING ROOM CAPACITY ASSIGNMENT AND CASE MIX PLANNING UNDER UNCERTAINTY

Saeedeh Ketabi & Amir Sajadi

Journal of the Operations Research Society of Japan2024https://doi.org/10.15807/jorsj.67.46article
ABDC B
Weight
0.30

What the paper says

Planning surgical activities is not an easy task due to many decision variables and uncertainty. A basic strategy to avoid surgery cancellation, over or under-utilization of operating rooms (OR) is to plan for the surgeries based on the OR resources in the first phase of OR Scheduling. This study proposes a concurrent model for case-mix planning and OR capacity assignment problems, in which the volume of elective surgeries and the number of OR blocks for surgical services are determined at the same time in such a way that the limited OR capacity is utilized based on the uncertain demands for surgeries. The model would be a stochastic Integer Goal Program and has been solved based on scenario-based programming using GAMS software for some real case studies. Based on the results of applying the model for the case study, the average of unsatisfed demands lies in [0.07%,1.49%] and the OR overtime is zero.

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https://doi.org/https://doi.org/10.15807/jorsj.67.46

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@article{saeedeh2024,
  title        = {{INTEGRATIVE DECISION MAKING ON OPERATING ROOM CAPACITY ASSIGNMENT AND CASE MIX PLANNING UNDER UNCERTAINTY}},
  author       = {Saeedeh Ketabi & Amir Sajadi},
  journal      = {Journal of the Operations Research Society of Japan},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.15807/jorsj.67.46},
}

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Evidence weight

0.30

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.