Planning and Control of Stochastic Syst.

Uitgebreide vaknaam	Planning and Control of Stochastic Systems
Leerdoelen	On completion of this course the student is able to: 1. Carry out non-parametric (Kaplan-Meier) and parametric survival analysis for partly censored data; 2. Describe and apply appropriate stochastic processes to model degradation; 3. Use renewal theory (algebraically and numerically) to analyze and optimize stochastic systems; 4. Use simulation to analyze and optimize stochastic systems; 5. Use matrix algebra to analyze and optimize stochastic systems; 6. Use dynamic programming and Markov decision processes to analyze and optimize stochastic systems; 7. Construct and evaluate heuristic policies for stochastic systems; 8. Optimize policies under parameter uncertainty and use Bayesian statistics to update these uncertainties; 9. Describe various maintenance policies and understand their differences; 10. Work and solve assignments in a small team.
Omschrijving	This course is about the planning and control of stochastic systems. Various methodologies will be discussed that are applicable in many areas. As connecting themes, the focus will be on lifetime and degradation modeling, and on maintenance planning and optimization. Other topics such as routing and production decisions will also be touched upon. Optimal policies that will be determined range from static policies that do not respond to the stochastic behavior of the system, to dynamic (control) policies that continuously respond to what happens. Various assignments (both individual and in small groups) have to be solved. Coding in R, Python, or a similar program is required for parts of these assignments. The assignments constitute two thirds of the course grade, the exam one third.
Uren per week	3
Onderwijsvorm	-hoorcollege
Toetsvorm	-groepsopdracht,  -individuele opdracht,  -schriftelijk tentamen (open vragen)
Vaksoort	master
Coördinator	dr. B. de Jonge
Docent(en)	dr. B. de Jonge
Verplichte literatuur	Titel Auteur ISBN Prijs Lectures notes and other documents (provided via Nestor and/or in class)
Entreevoorwaarden	Solid background in mathematics and statistics (level comparable to students who completed the BSc EOR), experience with coding in R, Python, Matlab, or a similar program.
Opmerkingen	Info: Dr Bram de Jonge, e-mail b.de.jonge@rug.nl. Secretary Operations: phone +31(0)50 36 37020, e-mail secr.operations.feb@rug.nl.
Opgenomen in	Opleiding Jaar Periode Type Courses Exchange (MSc)  ( Courses Exchange Students (MSc) without limited access) 1 semester I b keuze MSc Econometrics, Operations Research & Actuarial Studies/EORAS  ( Operations Research) 1 semester I b verplicht MSc Econometrics, Operations Research & Actuarial Studies/EORAS  (keuzevakken MSc EORAS) 1 semester I b keuze