Course - Supply Chain Analytics - TPK4161
TPK4161 - Supply Chain Analytics
Introduction to mathematical modelling as a tool to address challenges in production logistics and supply chains. Problem formulation and choice of modelling. Linear, dynamic, non-linear and stochastic programming. Flow and network modelling. Queueing models and Markov chains. Some analytical results and use of discrete event simulation. Monte Carlo simulation. Stochastic inventory models. Forecasting. Reliability and maintenance of the production line. Synchronization of maintenance and production activities. Models and visualization of cyber physical systems in real time. Decision trees. Expected Utility theory.
Knowledge: Basic insight in mathematical formulation of operations and supply chain management problems. Ability to analyse and understand real problems in order to develop realistic models where text book examples are not sufficient. Understand the strengths and weaknesses of various modelling approaches.
Skills: Be able to perform practical quantitative analysis related to operations and supply chain management. The students will be trained in using easy available tools like MS Excel with visual basic programming.
General competence: Understand the relevance of quantitative analysis related to operations and supply chain management and the implication related to competence requirements in the companies.
Learning methods and activities
Lectures, exercises and project work. Admission to taking exam requires exercises to have been approved.
The lectures and exercises are given in English when students who do not speak Norwegian take the course. If the teaching is given in English the examination papers will be given in English only. Students are free to choose Norwegian or English for written assessments.
Further on evaluation
Portfolio assessment is the basis for the grade in the course. The portfolio includes a semester paper counting 30 % and a written exam counting 70 %. The results for the parts are given in %-scores, while the entire portfolio is assigned a letter grade according to the grading scale using percentage points.
Mandatory work from previous semester can be accepted by the Department by re-take of an examination if there haven't been any significant changes later.
By a re-take of an examination all assessments during the course, that counts in the final grade, have to be re-taken.
If there is a re-sit examination, the examination form may be changed from written to oral.
Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.
Recommended previous knowledge
Basic knowledge in programming, statistics, probability theory and mathematical modelling. Knowledge corresponding to TPK4100 Operation Management.
Course compendium to be downloaded from Blackboard. The course has a public home page.
Credits: 7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2020
No.of lecture hours: 3
Lab hours: 2
No.of specialization hours: 7
Language of instruction: English
- Production and Quality Engineering - Production Management
- Information Technology and Informatics
Department with academic responsibility
Department of Mechanical and Industrial Engineering
Examination arrangement: Portfolio assessment
- Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
- Autumn ORD Semester assignment 30/100 A
Room Building Number of candidates
- Autumn ORD Written examination 70/100 C
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"