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Essays On Stochastic Programming In Service Operations Management, Sina Faridimehr Jan 2017

Essays On Stochastic Programming In Service Operations Management, Sina Faridimehr

Wayne State University Dissertations

Deterministic mathematical modeling is a branch of optimization that deals with decision making in real-world problems. While deterministic models assume that data and parameters are known, these numbers are often unknown in the real world applications.The presence of uncertainty in decision making can make the optimal solution of a deterministic model infeasible or sub-optimal.

On the other hand, stochastic programming approach assumes that parameters and coe¬Āfficients are unknown and only their probability distribution can be estimated. Although stochastic programming could include uncertainties in objective function and/or constraints, we only study problems that the goal of stochastic programming ...


Optimization Of Healthcare Delivery System Under Uncertainty: Schedule Elective Surgery In An Ambulatory Surgical Center And Schedule Appointment In An Outpatient Clinic, Zhaoxia Zhao Aug 2014

Optimization Of Healthcare Delivery System Under Uncertainty: Schedule Elective Surgery In An Ambulatory Surgical Center And Schedule Appointment In An Outpatient Clinic, Zhaoxia Zhao

Doctoral Dissertations

This work investigates two types of scheduling problems in the healthcare industry. One is the elective surgery scheduling problem in an ambulatory center, and the other is the appointment scheduling problem in an outpatient clinic.

The ambulatory surgical center is usually equipped with an intake area, several operating rooms (ORs), and a recovery area. The set of surgeries to be scheduled are known in advance. Besides the surgery itself, the sequence-dependent setup time and the surgery recovery are also considered when making the scheduling decision. The scheduling decisions depend on the availability of the ORs, surgeons, and the recovery beds ...