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Before choosing courseMG2203 Process Control and Management 9.0 creditsAdministrate About course

Probability and statistics,
Design of experiments
Reliability and Maintenance

Course is given in english

Course offering missing for current semester as well as for previous and coming semesters
* Retrieved from Course syllabus MG2203 (Autumn 2007–)

Content and learning outcomes

Course contents

Review of Basic Statistics (Random variables, data characterization, moments), Discrete and continuous probability distributions, sampling and sampling distributions, Hypothesis testing, point and interval estimation confidence intervals, Correlation and regression analyses. ANOVA. Regressions and chi-square tests.

Planning for experiment. One factor design; Randomized Blocks, Latin Square Designs and Extensions. Factorial Design: Two-factor full factorial design, Two level full factorial design. Fractional Factorials. Blocking and Confounding; Contrasts and qualitative factor levels, Mixed Level and Mixture Experiments. Response Surface Methodology. Taguchi’s Contributions to Experimental Design; Orthogonal Arrays, Robust Systems.

Static Reliability; Failure Phenomenon and Failure Rate. Rank and Probability Paper Dynamic Reliability. Reliability Testing. Reliability and Human Engineering. Reliability Management. Maintenance Engineering. Introduction to Preventive Maintenance Replacement. Repair Policies. Maintenance Support and Logistics. Introduction of Preventive Maintenance System and Operation. Inspection (Surveillance) Policies. Failure Diagnosis.

Intended learning outcomes

The course is intended to develop statistical thinking and skills in how to sample, characterize and make inference from statistical data. Modern statistical software tools are used to enhance knowledge and handle complex industrial management problems.
A part of the course is concentrated on how to plan, conduct and analyze experiments for decision making. Topics related to statistics, probability and Design of Experiment (DoE) are covered.

Course Disposition

No information inserted

Literature and preparations

Specific prerequisites

For students on the M or P programmes
4G1165 Automation Technology
4G1166 Bachelor’s Thesis in Production Engineering and Management
4G1169 Manufacturing
For students on the TPEMM program, se programme description.

Recommended prerequisites

No information inserted


No information inserted


Will be announced at course start.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F


  • INL1 - Assignment, 3,0 hp, betygsskala: P, F
  • TEN1 - Examination, 6,0 hp, betygsskala: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

Assignments (INL1; 3 cr)
Exam (TEN1; 6 cr)

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted


Profile picture Cornel-Mihai Nicolescu

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web MG2203

Offered by

ITM/Production Engineering

Main field of study

Mechanical Engineering

Education cycle

Second cycle

Add-on studies

No information inserted


Jerzy Mikler,

Supplementary information

Limited number of participants