TPK4161 - Supply Chain Analytics
New from the academic year 2017/2018
Introduction to mathematical modelling as a tool to address challenges in production logistics and supply chains. Problem formulation and choice of modelling. Linear, dynamic and non-linear programming. Flow and network modelling. Queueing models and Markov chains. Some analytical results and use of discrete event simulation. Monte Carlo simulation Systems dynamics modelling. Forecasting. Statistical process control. Reliability and maintenance of the production line. Synchronization of maintenance and production activities. Multivariate regression analysis for analysis of performance data. Statistical techniques for estimation of model parameters. Machine learning and Big Data. Quantitative methods for artificial intelligence. Methods for economical analysis and especially activity based calculation. 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 and dedicated tools for systems dynamic and discrete event simulation.
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 statistics, probability theory and mathematical modelling.
Required previous knowledge
Knowledge corresponding to TPK4100 Operation Management.
Examination arrangement: Portfolio assessment
|Term||Statuskode||Evaluation form||Weighting||Examination aids||Date||Time||Room *|
|Autumn||ORD||Written examination||70/100||C||2017-12-21||09:00||D104 , Storhall del 1|
- * The location (room) for a written examination is published 3 days before examination date.