Production and Logistics



AGILE PRODUCTION DEVELOPMENT Build the required knowledge and skills for efficient cross-disciplinary production development work. The course combines latest theories with practical cases from participating companies. The course gives students the required knowledge and skills for efficient cross-disciplinary production development work. Assignments are based on theory and industrial needs, that will be further developed in practical cases selected in close collaboration with their respectively companies. The students will be trained in agile planning methods/principles and an iterative way of working in a structured manner. The aim is to meet challenges/deviations in production development projects by implementing agile feedback-loops and innovative methods and principles. The course includes the following elements: Knowledge Intensive Product Realisation Challenges in industrial companies Overview processes and change management Organize for Information exchange and learning Agile Project Management Agile history and background, including methods and principles Project management and decision making Organization, collaboration and communication. Iterative development methods Planning, including Visible Planning (VP) Production Concept Development Requirement management, Product architecture and Production system Innovative thinking and activities Tools and methods for innovation and evaluation Production Concept Selection and Decisions Decision support and evaluation of alternatives Tools and methods for concept presentation and selection Implementation and follow-up

Data Analytics in Virtual Production

In this course, you will learn how data analysis in virtual production can improve your organization's results! Data analytics in virtual production uses advanced techniques to collect, analyze and present data to improve production. This system is designed to help companies optimize their production and increase efficiency. By learning how to model, do scenario analysis and evaluate using industrial software, identify bottlenecks, and use AI methods and applications, s necessary to succeed with a full production analysis.

Digital Twins in Virtual Production

Learn about digital twins and how they can be used in smart production! A digital twin is used to create a virtual model of a real production system. Among other things, it can be used to simulate how the product will be manufactured, how materials flow and how machines move. The course gives you knowledge of industrial digital twins and their application within the framework of smart production.

Industrial Maintenance Development

Do you want to learn methods for developing effective maintenance? Maintenance is a critical factor for the reliability of production systems. In this course you will learn the methods and techniques available to develop an effective maintenance. You will gain knowledge on maintenance as a value-adding activity and how to identify the parts of maintenance that generate value for the organization. You will also learn to analyze maintenance data using different types of analysis, such as Life Cycle Cost Analysis (LCC) and Root Cause Failure Analysis.

Industrialization and Ramp-up in Industry 4.0

You will learn methods, tools, and strategies for your company to gain a world class competence in the industrialization of new products and production technologies. If you are involved in the activities of industrialization, product or process introductions, and integration of new products and/or production technologies, then this course is for you.

Industry 4.0 - Introduction

Would you like to know what Industry 4.0 is about? Then this course is for you! In the course, we look at enabling technologies of Industry 4.0 from a human and industrial perspective. The course covers many topics and you will learn the basic terminology related to Industry 4.0 as well as insight and understanding of the Fourth Industrial Revolution and how it is set to affect industry and individuals.

Industry 4.0 - Realisation

Our Industry 4.0 – Realisation course covers all aspects of digitalisation and automation of smart factories. The course focuses on the application of new technologies with practical examples in complete production settings. The course covers digitalisation and automation technologies and their application in smart factories. Technologies covered include simulation and deployment, digital twin, connectivity as an enabler for e.g. predictive maintenance, manufacturing execution systems and robotics.

Internet of Things Platforms for Manufacturing Industry

Do you want to deepen your knowledge in Industrial Internet of Things? In this course, you will gain deeper knowledge and understanding of the Industrial Internet of Things (IIoT), platforms and cloud services used in manufacturing industries. You will learn to understand the use of IoT platforms and how to design and implement simple systems and how to create value by using IoT solutions within industrial systems. The course will provide you with practical and theoretical knowledge in IIoT, platforms and cloud services as well as in-depth knowledge in production, logistics and product development.

Introduction to Industry 4.0

Do you want to learn the basics of Industry 4.0, at your own pace, whenever you want? Then the MOOC (Massive Open Online Course) Introduction to Industry 4.0 is for you. You will learn basic terminology and theory while gaining insight and understanding of the fourth industrial revolution and how it affects us. The MOOC: Introduction to Industry 4.0 is part of MDU's investment in smart production. The course is divided into ten modules, each of which describes different technologies in Industry 4.0. We estimate that it will take about 40 hours to complete the course and it is in English. The MOOC can also give you eligibility to apply for these 3 university courses at Mälardalen University: Internet of things for industrial applications, 5 credits Simulation of production system, 5 credits Big data for industrial applications, 5 credits

Lean Production

Do you want to be efficient, effective and minimize waste by learning and implementing lean production tools? This course provides insight into the demands and challenges posed by competitive production in industrial production systems and develops your ability to participate in and to drive improvement work. The course focuses on efficient lean production. Through theory and project work, you will learn useful techniques, methods and strategies. You will obtain the necessary knowledge and training to carry out value stream mapping and other forms of improvement work. The course offers current and competitive knowledge through its close links with our successful research and partner companies. It provides basic knowledge and understanding of the modern view of lean production in industrial activity. 


Lean Produktion 7,5 hp  See Swedish version

Lean Production - KTH Leancentrum

This course is taught in Swedish. Lean production consists of a set of principles and techniques, which are included in the business's systems and processes. These can be derived into a particular business philosophy and strategy that encompasses the entire organization's operations. The course lays the foundation for continued broader and deeper studies of how operations are run at the new generation of world-leading companies with a Lean business strategy. This starting course covers the following topics: Strategies and principles for Lean production Stable processes and standardized working methods Design of value streams Pulling and pushing production systems Quality philosophy and quality methodology Teamwork, commitment and participation Management system with PDCA methodology Business collaboration along value flows Transformation to a Lean corporate culture Course structure Five two-day meetings consisting of discussion lectures, practical exercises and analyzes of operations in companies that practice Lean methodology. Course literature Jeffrey Liker, The Toyota Way, Liber, 2009 Modig & Åhlström, This is Lean Petersson et al., Lean turns deviations into success, 2009 Target group People within organizations considering and Lean business strategy.