The manufacturing industry collects increasingly large volumes of big data, that is, data at high speed, generated from a wide range of sources in different formats and quality levels. But what is data without insight? This course will help you master the fundamental concepts of big data, cloud computing and smart decision-making for industrial analytics. Designed specifically for manufacturing sector professionals, this Master’s course provides knowledge and insights in handling and processing data, using machine learning and data analytics in the cloud environment. You will learn machine learning-based solutions for industrial applications, such as smart decision-making and predictive maintenance, using state of the art cloud platform tools.
The course will provide lectures to introduce the basic knowledge of metal cutting process, NC technology and its applications in manufacturing devices (e.g. NC machine tools), the basic knowledge of NC programs based on ISO 6983 standard, the methodology of process planning, and their implementations in computeraided manufacturing environment. The tutorials will be provided to practice process planning and NC programming with a Computer Aided Manufacturing (CAM) program for a given part which is expressed by 3D model with PMI. Results and findings will be reported and reflected upon in a technical report following a given template which is an analogous file for shop floor communication purpose. After completed course the student should be able to:• describe the basics of metal cutting process,• describe the working principles of numerical control (NC) machine tools,• program NC codes based on the ISO 6983 standard,• analyze part 3D models with Product and Manufacturing Information (PMI) and interpret its implication for machining by applying the knowledge of process planning,• create a process plan for a given part using a CAM program,• document the process planning results as shop floor communication files. Course code, application code, location, pace and languageMT131G, HS-21742, flexibel distance, 25%, teaching in English. Subject, Disciplinary DomainMechanical Engineering, Technology Application, eligibility and admissionIf you work in industry, but lack academic qualifications, you can apply to be assessed on so-called real competence. Read more on this page his.se/ansokindustrikurser More information about the course and a link to the application can be found at the University of Skövde's course page.
Do you want to deepen your knowledge about maintenance and dependability? Then this course is for you. The course focuses on the value of dependability in production systems and how maintenance contributes to the achievement of optimal dependability. A well-designed maintenance programme starts with the design of the production system, from the procurement of new equipment, to system service life.
You will acquire knowledge about planning and implementing industrialization activities for achieving a faster time-to-market and time-to-volume with higher quality. During the course you will work on one of your company’s industrialization challenges as a “project case” and analyse ways to tackle them in an efficient way.
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.
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.
In this course, you will gain insight in components and technologies included in the Industrial Internet of Things (IIoT). Designed specifically for manufacturing sector professionals, the course provides knowledge about the infrastructure, the technologies and requirements needed to generate, transport and manage data in the Industrial Internet of Things (IIoT) system which is one of the main building blocks towards digitalization and smart factories. It includes project work, laboratory exercises and assignments where the student gets knowledge of different applications of IIoT in the manufacturing industry.
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.
To be translated En nyckelfaktor för att bedriva konkurrenskraftig produktion i Sverige och Europa är att vi kan beskriva manuellt arbete på ett entydigt sätt, driva metodförbättringar och objektivt fastställa cykeltider utan subjektiva bedömningar av prestation. I denna kurs får du lära dig grunderna för tidmätning av manuellt arbete och hur du genomför en analys av manuellt monteringsarbete i en produktionsanläggning. Denna tidmätning kan sedan ligga till grund för exempelvis balansering och optimering av en produktionslina. Efter kursen har du möjlighet att genomföra certifieringsprov för MTM-SAM hos MTM-Föreningen i Norden (kostnad för att genomföra certifieringsprov tillkommer). MTM används för att analysera och tidsbestämma manuellt arbete. Det är ett så kallat elementartidsystem. Det bygger på en enkel princip: För en viss definierad rörelse finns det ett enhetligt tidsvärde bestämt. Utifrån MTM-systemet kan varje manuell arbetsoperation uppdelas i grundrörelser (ex. greppa och placera), som tillsammans utgör en komplett arbetsoperation, exempelvis att plocka en slangklämma från en låda och montera den. Var och en av de definierade grundrörelserna har tilldelats ett bestämt tidsvärde. Detta tidsvärde är fastställt med hänsyn till rörelsens natur och förhållanden, under vilka den utförs. Kurskod, ansökningskod, plats och taktPR023G, HS-21799, flexibel, 25% Ansökan, behörighet och antagningOm du arbetar inom industrin, men saknar akademiska meriter, kan du ansöka om att bli bedömd på så kallad reell kompetens. Läs mer på den här sidan his.se/ansokindustrikurser
The course begins with an introduction to optimization-driven design and how it is used in industrial contexts, this is followed by solution methods for optimization problems in a variable. These introductory parts of the course deal with unlimited optimization and the focus is on creating a variety of solution methods for different types of optimization problems. Examples of solution methods that are treated are linear programming (LP), Newton's method, secant methods and the steepest descent method. In these latter methods, problems are considered in several variables, which also applies to the remaining parts of the course. For limited optimization problems, different methods for handling coercion are presented, for example Karush-Kuhn-Tucker (KKT), quadratic programming (QP), active quantities and multipliers. The course continues with convex optimization and variation differences with application in mechanical engineering and ends with structure, shape and topology optimization. After completed course the student should be able to:show familiarity with basic optimization algorithms and their use,display knowledge about how structural and design optimization can be used during the design process,demonstrate comprehension of how optimization driven design is used in the development of sustainable products,demonstrate the ability to use topology optimization in structural analyses,demonstrate the ability to perform sensitivity analyses,demonstrate the ability to perform a major optimization driven design project.
Participants in this master course will develop skills in discrete event simulation to meet the needs of today's manufacturing industry. Through use of discrete event simulation you will learn to support improvements of industrial processes involving complex changes. The course focuses on how to build, analyse and communicate the results of a simulation study. You will acquire knowledge through theoretical understanding, practical exercises and workshops. Based on a real case, the course will guide you to be able to improve production and logistics flow with discrete event simulation.