GRA 4141 Supply Chain Analytics

GRA 4141 Supply Chain Analytics

Course code: 
GRA 4141
Department: 
Accounting, Auditing and Business Analytics
Credits: 
6
Course coordinator: 
Atle Nordli
Stéphane Dauzère-Pérès
Product category: 
Master
Portfolio: 
MSc in Business Analytics
Semester: 
2020 Spring
Active status: 
Active
Teaching language: 
English
Course type: 
One semester
Introduction

Efficient management of modern supply chains requires data-driven decision making. In this course, students will learn how to create separate optimization models to support decision making for transportation and production planning, as well as integrated models for coordinated decision making across multiple stages in a supply chain. Most of the deterministic modelling will be performed through the use of linear, mixed-integer and non-linear programming models, which are solved by standard solvers. However, also some basic heuristic methods are discussed in the course.

Learning outcomes - Knowledge
  • Students will develop knowledge in quantitative modelling to support decision making in supply chain design, planning and control.
  • Students will gain basic knowledge about the design of heuristic methods for problem solving.
  • Students will acquire knowledge about different types of supply chain uncertainty and how these can be handled in an analytical manner.
Learning outcomes - Skills
  • Students will learn how to create mathematical programming models for various types of production and transportation problems.
  • Students will learn how to take into account stochastic parameters and analyze the effect of various buffering techniques through the use of discrete event simulation models.
  • Students will learn how different functions and stages in a supply chain can be coordinated through the use of optimization models for integrated decision making.
General Competence
  • Students will obtain an overview of challenges and solutions for supply chain analytics.
  • Based on this course, the students will be better equipped to reflect upon and evaluate various types of analytical software offered to decision makers in a given practical setting.

 

Course content
  • Overview of supply chain optimization models
  • Supply network design
  • Lot-sizing models for supply chain planning
  • Operations scheduling
  • Vehicle routing
  • Demand forecasting
  • Safety stock analysis
  • Integrated decision making in supply chains
Teaching and learning activities

​Software:

  • AMPL or similar mathematical programming software
  • Excel

 

Software tools
Software defined under the section "Teaching and learning activities".
Additional information

Please note that while attendance is not compulsory in all courses, it is the student’s own responsibility to obtain any information provided in class.

All parts of the assessment must be passed in order to get a grade in the course.

Qualifications

All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have specific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.

Required prerequisite knowledge

This course requires that students have completed the course in Business Optimisation or an equivalent course.

Exam categoryWeightInvigilationDurationSupport materialsGroupingComment exam
Exam category:
Submission
Form of assessment:
Written submission
Exam code:
GRA 41411
Grading scale:
ECTS
Grading rules:
Internal examiner
Resit:
Examination when next scheduled course
30No7 Week(s)Group/Individual (1 - 3).
Exam category:
Submission
Form of assessment:
Written submission
Exam code:
GRA 41412
Grading scale:
ECTS
Grading rules:
Internal and external examiner
Resit:
Examination when next scheduled course
70Yes 3 Hour(s)
  • All printed and handwritten support materials
  • BI-approved exam calculator
  • Simple calculator
  • Bilingual dictionary
Individual
Exams:
Exam category:Submission
Form of assessment:Written submission
Weight:30
Invigilation:No
Grouping (size):Group/Individual (1-3)
Support materials:
Duration:7 Week(s)
Comment:.
Exam code: GRA 41411
Grading scale:ECTS
Resit:Examination when next scheduled course
Exam category:Submission
Form of assessment:Written submission
Weight:70
Invigilation:Yes
Grouping (size):Individual
Support materials:
  • All printed and handwritten support materials
  • BI-approved exam calculator
  • Simple calculator
  • Bilingual dictionary
Duration: 3 Hour(s)
Comment:
Exam code: GRA 41412
Grading scale:ECTS
Resit:Examination when next scheduled course
Type of Assessment: 
Ordinary examination
Total weight: 
100
Sum workload: 
0

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.