Loading...
| Friend's email | |
| Your name | |
| Your email | |
| enter code | |
This page was sent successfuly
- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 42744 (01)
- University: Sharif University of Technology
- Department: Industrial Engineering
- Advisor(s): Koorosh, Eshghi
- Abstract:
- Nowadays, Resource Capacity Management (RCM) is one of the main challenges for industries which have a limited capacity to meet the demands. Revenue Management (RM) is a technique that controls the supply, improves the quality of Capacity Management and maximizes the revenue. Supplying the products and services to different groups of customers is a decision making problem.While the classic RM techniques take into account only the expected revenue, preferences of decision makers strongly affect the results. In this study, utility theory has been proposed because the healthcare industries are usually nonprofitable and they are not highly focused on the revenue gained by their products and services. The problem is to manage the capacity of a diagnostic facility that may be used by several groups of patients. At first, we modeled the problem using Utility Theory and proposed a new heuristic algorithm to control the supply. Our proposed heuristic algorithm is based on the EMSR method, a well-known algorithm in the field of Pricing and Revenue Optimization. Next, we analyzed this problem by another point of view. Stochastic Dynamic Programming along with Markov Decision Process has been used to model and solve the problem. The extremely large state space directed us to use a heuristic algorithm considering optimal solution structure to solve the problem. The main application of this study is in healthcare, so a real problem is selected from the literature and modeled to evaluate our algorithms
- Keywords:
- Revenue Management ; Multicriteria Decision Making ; Stochastic Dynamic Programming ; Markov Decision Making ; Health Care System
Digital Object List
-
محتواي پايان نامه
- view
Bookmark