Lean Production and Quality Management

The main focus of this topic will be Lean Production, Quality Management and material in-bound logistics with examples taken directly from the real world. The main topics will include:
1) Lean philosophy and tools, value stream mapping (VSM), continuous improvement and problem solving methods, waste in production and Lean Management;
2) Capacity calculation, small series production, bottleneck management and Drum-Buffer-Rope method, line balancing, production planning and control, production leveling and mixed-model production (Heijunka), pull produksjonssystem, group technology, cell production and pull system (Kanban, Just-in Time);
3) TQM, SPC, process capability, and Six-Sigma as well as systems for prevention of quality errors;
4) Predictive vedlikehold, OEE, and TPM;
5) Inventory management and modeling (EOQ and EMQ), MRP, Kanban;
6) Standardized work and daily management;
7) Supplier Integration and Lean in Supply Chain Management;
8) New trends: Indistri 4.0, Smart Factory, Internet of Things & Services, and "Mass Customization".

KNOWLEDGE:
The course is adapted to the needs of logistics engineers in the field of production management, quality, and material management. The candidate gets a thorough knowledge of principles and methodologies of Lean and continuous improvement, production management, planning and control, logistics and factory layout, Total Quality Management (TQM), Statistical Process Control (SPC), Six-Sigma, and quality at the source. Basics of inventory management and ordering, preventive and total productive maintenance (TPM), and Lean in Supply Chain Management (SCM) will also be in focus. There will be a brief introduction to the new trends in the industry, namely, Indusrty 4.0, Smart Factory, Internet of Things & Services (IoT&S), as well as Mass Customization.
SKILLS:
After taking this course, the candidate should be able to
1) Perform certain calculations to determine the capacity of a production system, control bottlenecks, and plan the production for fast delivery and cost-effective operation;
2) Map the value stream, define the right KPIs, identify the waste and plan for the improvement work to achieve flexibility and agility in the production;
3) Make decisions based on model-based data for reliable inventory management and ordering of goods;
4) Design simple systems for data acquisition and statistical process control by setting up control charts as well as design systems for preventing quality errors in the production;
5) Implement JIT in the factory's integration with suppliers and other players in the value chain;
6) Understand the new developments within the industry -Industry 4.0 and digitalization of logistics.
GENERAL COMPETENCE
As a logistics engineer, the candidate gains a broader range of production and quality management skills and how to apply it to the real-world challenges. The candidate acquires general competence in systematic problem solving and can contribute to disseminating knowledge through interdisciplinary teamwork. The candidate understands the principles of organisational learning and will be able to guide and lead Lean initiative in a business.

Teaching methods and activities include a combination of lectures, submitted exercises, as well as classroom simulations in the form of Lean games and group project based on principles of practical learning (CDIO).