course-details-portlet

TPK4161

Supply Chain Analytics

Credits 7.5
Level Second degree level
Course start Autumn 2021
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement Portfolio assessment

About

About the course

Course content

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.

Learning outcome

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.

Compulsory assignments

  • Exercises

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.

Course materials

Course compendium to be downloaded from Blackboard. The course has a public home page.

Subject areas

  • Production and Quality Engineering - Production Management
  • Information Technology and Informatics
  • Technological subjects
  • Economics

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Mechanical and Industrial Engineering

Examination

Examination

Examination arrangement: Portfolio assessment
Grade: Letter grades

Ordinary examination - Autumn 2021

Semester assignment
Weighting 30/100 Examination aids Code A Duration 1 semesters
Home exam (1)
Weighting 70/100 Date Release 2021-12-20
Submission 2021-12-20 Time Release 09:00
Submission 13:00 Duration 4 hours Exam system Inspera Assessment
  • Other comments
  • 1) Merk at eksamensform er endret som et smittevernstiltak i den pågående koronasituasjonen.

Re-sit examination - Summer 2022

Semester assignment
Weighting 30/100 Examination aids Code A Duration 1 semesters
Home exam
Weighting 70/100 Duration 4 hours Exam system Inspera Assessment

All about examinations at NTNU