A simulation-based approach to price optimisation of the mixed bundling problem with capacity constraints

2013 ◽  
Vol 145 (2) ◽  
pp. 584-598 ◽  
Author(s):  
Stefan Mayer ◽  
Robert Klein ◽  
Stephanie Seiermann
Keyword(s):  
Capacity Constraints ◽  
Price Optimisation ◽  
Simulation Based ◽  
Mixed Bundling

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.

Inquiry Learning

2009 ◽  
Vol 23 (2) ◽  
pp. 117-127 ◽  
Author(s):  
Astrid Wichmann ◽  
Detlev Leutner
Keyword(s):  
Scientific Reasoning ◽  
Inquiry Learning ◽  
Instructional Support ◽  
Test Results ◽  
Knowledge Test ◽  
Simulation Based ◽  
Scientific Experiments ◽  
Specific Support ◽  
Science Classes

Seventy-nine students from three science classes conducted simulation-based scientific experiments. They received one of three kinds of instructional support in order to encourage scientific reasoning during inquiry learning: (1) basic inquiry support, (2) advanced inquiry support including explanation prompts, or (3) advanced inquiry support including explanation prompts and regulation prompts. Knowledge test as well as application test results show that students with regulation prompts significantly outperformed students with explanation prompts (knowledge: d = 0.65; application: d = 0.80) and students with basic inquiry support only (knowledge: d = 0.57; application: d = 0.83). The results are in line with a theoretical focus on inquiry learning according to which students need specific support with respect to the regulation of scientific reasoning when developing explanations during experimentation activities.

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