Business Management and Organisation BA (C), Logistics, 6 Credits
Subject/Main field: Industriell organisation och ekonomi
Cycle: First cycle
Progressive specialization: G1F - First cycle, has less than 60 credits in first-cycle course/s as entry requirements
Answerable department: Department of Information and Communication Systems
Answerable faculty: Faculty of Science, Technology and Media
Date of change: 8/20/2015
Version valid from: 7/1/2015
The purpose of this course is to gain an insight into various aspects of logistics rooted in logistics history with a focus on modern intermodal logistics, supply chains, The Toyota Way and modern IT solutions.
After completing the course students will be able to:
• Describe the history of logistics as well as have an understanding of its development.
• Describe different types of supply chains and startegies to handle these.
• Plan intermodal logistics solutions using network models and optimization
• Apply statistical models and other relevant mathematical models used in logistics.
• Apply logistics planning in a multidisciplinary community perspective
• Apply production logistics concepts based on the Toyota Way
• Describe IT system and its development in logistics
• Exemplify the use of Geographic Information Systems, Business Systems and sensors such as RFID in logistics
• Explaining the complexity of the supply chain as well as its challenges and terminology
The subjects in the course are mainly:
- The history of logistics
- Concepts in Supply Chain Management
-Production logistics with focus on the Toyota Way
- Information flow and IT in logistics
- Reverse logistics
- Inventory management and inventory modelling
- Network models for optimization of logistic flows
Business Management and Organization BA (A), 30 Credits or Business Administration BA (A), 30 Credits. Statistics BA (A), 15 Credits, or Mathematical Statistics BA (A), 6 Credits. Mathematical Modeling BA (B) or similar of at least 6 Credits. Process and Systems Development BA (B), 6 Credits or similar.
Selection rules and procedures
The selectionprocess is in accordance with the Higher Education Ordinance and the local order of admission.
Teaching consists of lectures, seminars and project work.
The course includes lectures with theoretical issues raised based on real examples in transport and logistics. Guest lectures and field trips can be included.
The course also includes two projects
• Project 1: Literature Study: Students form an opinion about the current challenges in logistics by searching the relevant literature on the web, such as scientific papers and reports, after consultation with the course coordinator and the group performed a major task. Instead, this task can be done by the students solving practical problems at a company.
• Project 2: Mathematical programming models: This is mostly done with the help of network models and methods from discrete optimization methods in the form of laboratory work in the computer lab. Simpler statistical models for inventory management and production logistics using markov chains can also included.
Some parts may be mandatory. Where necessary, the computer room will be booked for work on projects.
1.5 credits, P101: Project one, written report and oral presentation
Grades: Pass or Fail
1.5 credits, P201: Project two, written report
Grades: Pass or Fail
3.0 credits, T101: Written exam
Grades: A, B, C, D, E, Fx and F. A-E are passed and Fx and F are failed.
Grading criteria for the subject can be found at www.miun.se/GradingCriteria
The grades A, B, C, D, E, Fx and F are given on the course. On this scale the grades A through E represent pass levels, whereas Fx and F represent fail levels.
Author: Tage Skjött-Larsen mfl.
Title: Managing the global supply chain
Publisher: CBS Press
Author: Jeffrey K Liker
Title: The Toyota Way- Lean för världsklass
Author: Ulf Paulsson m.fl.
Till kurslitteraturen tillkommer utdelat material i form av aktuella artiklar och rapporter. En pdf fil som beskriver nätverksmodeller och metoder för att lösa dessa ingår även.
To the literature distributed material in the form of relevant articles and reports are added. A pdf file that describes network models and methods to solve these are also included.