A two-phase optimization model combining Markov decision process and stochastic programming for advance surgery scheduling

A Markov Decision Process Approach with Embedded Stochastic Programming

The main objective of electric power dispatch is to provide electricity to the customers at low cost and high reliability. Transmission line failures constitute a great threat to the electric power system security. We use a Markov decision process (MDP) approach to model the sequential dispatch decision making process where demand level and transmission line availability change from hour to hou...

A stochastic model for project selection and scheduling problem

Resource limitation in zero time may cause to some profitable projects not to be selected in project selection problem, thus simultaneous project portfolio selection and scheduling problem has received significant attention. In this study, budget, investment costs and earnings are considered to be stochastic. The objectives are maximizing net present values of selected projects and minimizing v...

A Stochastic Optimization Model for Groundwater Management

A Stochastic Optimization Model for Groundwater Management

A Two-Stage Chance-Constraint Stochastic Programming Model for Electricity Supply Chain Network Design

Development of every society is incumbent upon energy sector’s technological and economic effectiveness. The electricity industry is a growing and needs to have a better performance to effectively cover the demand. The industry requires a balance between cost and efficiency through careful design and planning. In this paper, a two-stage stochastic programming model is presented for the design o...