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.

Lectures, exercises and semester work. Admission to taking exam requires exercises and semester work 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.