Examination arrangement

Course content

The subject is a program specialization subject in 2nd year 2nd semester INGLOG. The subject consists of two main parts. The first part will provide students with basic knowledge of advanced logistics systems used in warehouses, production and transport as well as the use of automation, robotisation and digitization in logistics (Logistics 4.0). The second part of the course provides knowledge of advanced analysis methods for logistics systems by using computer simulation tools and knowledge of building Digital Twins. Computer simulation of logistics systems using software FlexSim is covered here, as well as the use of stochastic simulation in warehouse management under uncertainty.

Learning outcome

The course must convey the following specific knowledge to the candidate

• General knowledge of digitization and Industry 4.0 (Cyber ​​Physical Space, Internet of Things, Artificial Intelligence, Big Data and Machine Learning)
• General knowledge of automation and robotization
• Specific knowledge of digitization in logistics and value chain management: sensors, RFID, AGV, AMR, drones, AR/VR, 3D printing
• Specific knowledge of logistics technology in automated warehouses, terminals and distribution centers (AS/RS, AutoStore)
• Advanced inventory management inventory management under uncertainty (continuous review and periodic review)
• General knowledge of computer simulation and use of Discrete Event Simulation (DES) to build Digital Twins for logistics systems
• Specific knowledge of software FlxSim and build

Skills: The candidate must be able to:

• Understand and implement key supply chain and logistics technologies in the digitization era of industrial IoT, autonomous applications and cyber-physical systems and how they can be integrated to generate added value.
• Understand systems in modern automated warehouses, terminals and distribution centres
• Building simulation models for inventory management under uncertainty
• Build and run simulations in FlexSim for simple production or warehouse systems
• Build dashboards for performance measurement/monitoring and improvement

Other important learning objectives: The candidate should be able to

• Gain a broad overview of the smart logistics and its role in building resilient and sustainable supply chain
• Understand the need for verifiable operations ethics and supply chain transparency in the digitalization era with complex systems and supply chains.

Learning methods and activities

Lectures, exercises, simulation laboratory, semester project.

Further on evaluation

The portfolio consists of 3 parts (total 100 points):

1. Assignment set 1 (20 s), submission deadline: End of February
2. Assignment set 2 (20 s), Submission deadline: in April
3. Semester project (60 s), submission deadline: End of May

Parts 1 and 2 are delivered individually on Blackboard. Part 3 is delivered individually or in groups of a maximum of 2 also on Blackboard.

Guidance is provided one quick day a week. Candidates can receive feedback on their performance along the way. Evaluation of the entire map is indicated with a letter grade.

In the event of a voluntary repetition of the survey, all parts must be taken again.

Specific conditions

Recommended previous knowledge

TLOG1002 or TLOG1015, and TLOG2008

Course materials

Parts of the textbook: Facilities Planning (Tompkins, 2010), Warehouse Management (Richards, 2018), as well as lecture notes and other papers given by the term start.