Maintenance Planning and Optimization

 Faculteit Economie en Bedrijfskunde Jaar 2018/19 Vakcode EBM170A05 Vaknaam Maintenance Planning and Optimization Niveau(s) master, uitwisseling Voertaal Engels Periode semester I b ECTS 5 Rooster rooster

Uitgebreide vaknaam Maintenance Planning and Optimization
Leerdoelen On completion of this course the student is able to:
1. Describe various maintenance strategies and understand their differences.
2. Analyze data on failures, preventive maintenance actions, and condition measurements and fit models to these data.
3. Evaluate and optimize time-based, condition-based and opportunistic maintenance strategies.
4. Use algebraic analysis and numerical calculations to evaluate and optimize maintenance strategies.
5. Use dynamic programming and Markov decision processes to evaluate and optimize maintenance strategies.
6. Use simulation to evaluate and optimize maintenance strategies.
7. Construct and evaluate heuristics for maintenance strategies of multi-unit systems.
8. Optimize maintenance strategies under parameter uncertainty and update these uncertainties using Bayesian statistics.
Omschrijving Due to ongoing automation of operational processes and increasing reliance on required equipment, the importance of effectively planned maintenance activities is growing. In this course, a wide variety of methods will be used to optimize maintenance strategies. These methods include algebraic analysis, numerical calculations, dynamic programming, Markov decisions processes and simulation. Both single-unit and multi-unit systems will be analyzed using these methods. Furthermore, various preventive maintenance strategies will be considered (e.g. time-based, condition-based and opportunistic), and models with deterministic as well as stochastic parameters will be analyzed. Finally, optimal maintenance decisions under uncertainty in model parameters will be studied and Bayesian statistics will be used to update these uncertainties.

Various assignments (both individual and in small groups) have to be solved. Coding in R is required for some of the assignments. The assignments determine 2/3 of the course grade, the exam 1/3.
Uren per week 3
Onderwijsvorm hoorcolleges, opdracht(en)
Toetsvorm opdracht(en), schriftelijk tentamen met 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 or in class)

Entreevoorwaarden Solid background in mathematics and statistics (level comparable to students who completed the BSc EOR), experience with coding in R, Matlab, or a similar program.
Opmerkingen Info: Dr Bram de Jonge, phone +31(0)50 36 33723, 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 open to Exchange Students (MSc)  ( Courses open to 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