Tuotantotalous - Industrial Engineering and Management

This course gives holistic picture about LUT´s innovation policy, and practical information how to join and be part of our strong innovation and entrepreneurial field of operations. Course is led and strongly recommended by our vice rector for research and innovation Jari Hämäläinen who will also start the lecture session with his keynote speech. Other lecturers come from LUT Green Campus Open which is the commercialization unit of LUT. The course will handle the LUT innovation process from idea to research project or business establishment. Questions like how to disclose the invention, what are the basics of the law of inventions in Finnish universities, what is LUT´s IPR policy and what kind of funding there is for developing the research idea further are discussed during the course. Also, the principals how to present your idea to different audiences (e.g., for Business Finland R2B funding) will be handled during the course. Course contents: Innovation strategy and process of LUT University, invention disclosure system in LUT, patent search and Freedom to Operate -analyses, principals of patenting in LUT, different project and innovation funding instruments (Business Finland, ELY, EU, Academy of Finland), Research to Business (R2B) funding, requirements and internal application process for R2B, basics of pitching your innovation idea.

Typologies of service firms. Characteristics of services. Product-service systems and Servitization. Knowledge-intensive business services. New service development process. Dimensions of service innovations. Productization of services. Supporting methods for service innovation management. Service quality and its improvement. Managerial challenges in service innovation management. Utilization of frameworks, methods and tools in service innovation management. Roles of different types of firms in service systems and networks. Value creation through services. Customer-centric service development. Service business innovation global megatrends. Service marketing strategies.

During the course students learn to develop and test a business idea following the feasibility analysis, discovery driven planning steps as well as using the uncertainty management tools of Attribute Mapping, Supply Chain Analysis, Differentiation, Quizzing and Market-Busters. The course does not teach business plan writing but rather focuses on opportunity recognition and feasibility assessment. Moreover, it adds the elements of lean startup as well as social entrepreneurship as possible avenues in dealing with entrepreneurial challenges. Entrepreneurial thinking, uncertainty management, strategic entrepreneurship, discovery-driven planning.

It is a course for all interested in creativity, in systematic tools of ideation. The modules contain basics of TRIZ (Theory for Inventive Problem Solving) and other tools for idea generation and other analytical tools that have proven their efficiency in the industry. Half of the course is devoted to the work on challenges given from real companies. Main course's modules (x means variable part): Introduction Basics of patenting Function definition Ideal final result Function-oriented search and biomimetics Contradictions Function modelling and trimming Cause-effect chain analysis (x) Trends of engineering system evolution (x) Axiomatic design (x) Design for manufacturing and assembly (x) Conclusion There are about 20 case studies and 100+ examples of smart new product design, technology troubleshooting and inventive solutions, many of which are coming from success and failure stories of technological giants. 

Economic/financial/demographic and other systems are supposed to be used as the study objects. First, we learn how to model the dynamical behaviour of scalar systems, linear and nonlinear, by the differential equations. Then we extend the analysis by multivariable dynamic systems. We learn how to describe system behaviour, how to predict and how to optimise it.  All the theory is given the numerical examples and simulations.

It is an online course for all interested in creativity, in systematic tools of ideation. The modules contain basic TRIZ (Theory for Inventive Problem Solving) tools for idea generation. Have you ever thought why it is hard to find a new idea sometimes? How to analyze the situation where you need an out of box solution? How to deliver systematically the list of concepts to improve a product or a service? This self-paced course includes the following modules: Introduction Function Definition Ideal Final Result Function-oriented Search Contradictions This course is a brief introduction to creativity and idea generation with elements of theory, everyday life examples and tests for self-check. If you want to dive deeper into TRIZ and tools for idea generation, we would be happy to invite you to instructor-paced Inventive Product Design and Advanced TRIZ course.

Ydinaines: Johdatus strategiaan, yrityksen toimintaympäristö, strateginen kyvykkyys, strategisen analyysin työkalut ja menetelmät, yritys- ja liiketoimintatason strategiat, strategian toteuttaminen ja seuranta, muutoksen johtaminen, strateginen yhteistyö, talouden suunnittelu strategian osana, strategiset valinnat.

We learn the language that scientists use to understand complexity in systems. Students design their own chaos, fractals, various types of popular optimization algorithms like ant or genetic algorithms, simulate behavior of complex communities, participate in interactive prisoner dilemma game and more. We witness the birth of complexity in every topic: how extremely simple rules of interaction between elements can result in intelligent behavior of the whole system. Topics: Theory of complexity System dynamics and chaos Fractals Information theory Genetic algorithms Cellular automata Models of biological self-organization Models of Cooperation in Social Systems

Riskienhallinnan perusteet, riskienhallinnan prosessi ja standardit, riskienhallinnan keinot ja strategiat, riskien arviointimenetelmät, riskienhallinta pk-yrityksessä, riskilajit kuten kuljetusriskit ja projektiriskit.

The major subjects of the course are: Critical Reasoning: - Socratic Questions, - Dunker Diagram, - Kepner-Tregore Method; Major Steps in Problem Solving; Types of Problems; Survey of Intuitive and Structured Methods of Creativity Enhancement: - Brainstorming, - Checklists, - Biomimetics, - Fishbone Diagram, - Sequence Attribute Modification, - Morphological Analysis, - Case-based Reasoning, - TRIZ; Selection of Ideas

The idea of the course is to learn and understand the links between innovation management and sustainability and familiarize students with the emerging concepts of sustainability-oriented innovation. The course aims to enhance the development of students' sustainability competences (e.g. critical and anticipatory thinking, collaboration, communication, strategic action and systems thinking) to be used in future decision-making.

Processes, methods and tools of innovation and technology management: Strategic analysis methods, future studies, idea generation, concept development, decision-making support for innovation process, Quality Function Deployment, design for business model innovations. Varying contemporary themes, e.g. circularity, twin transformation, ethics in technology management.

Students will study key knowledge areas related to: - Responsible/sustainable innovation, design and assessment - Ascription of responsibility, normativity and ethics  - Sustainable system change and transitions - Future studies Key theoretical knowledge is transferred through pre-recorded lectures and recommended readings for each week. Learning is facilitated through weekly collaborative exercises, course main project and a self-reflection essay. Assessment is based on team work (report and presentation), and individual activity. The course is suitable for Master level students from a business, management and engineering background who have an interest in examining innovation and technology for sustainability in a future-oriented context. In the introductory session, on-site presense at Kouvola campus is highly recommended. Otherwise the course is organized as an asynchronous online course. 

Perehdyttää yritysten ja organisaatioiden rationaaliseen päätöksentekoon ja sen tukemiseen tuotantotalouden kentässä.Sisältö: Päätöksenteko prosessina, päätösanalyysi, päätöspuut, monikriteeriset päätöksentekotekniikat, analyyttinen hierarkiaprosessi, ryhmäpäätöksenteontukijärjestelmät, ryhmätyön tukemisen tekniikat sekä datan analysointi ja visualisointi.

Tuotekehitysprojektien johtaminen. Tuotteiden ja palveluiden kehitystoiminnan vertailu. Markkinoinnin näkökulmat innovaatiotoiminnassa. Tuotteen elinkaaren hallinta ja innovaation diffuusio. Innovaatiotoiminnan strategia. Kehitystoiminta verkostossa. Teollisoikeuksien perusteet. Täydentävä tieto: Tuotealustat, työsuhdekeksinnöt, uuden liiketoiminnan kehittäminen, avoimen innovaation periaate, kestävä kehitys innovaatiotoiminnassa. Opintojakso liittyy kestävään kehitykseen.

Product-Service Systems (PSS) and Product Lifecycle Management (PLM) trends and digital transformation. Different views on a product/service: structures – processes – lifecycles – sustainability - data/information, challenges with lifecycle management, requirements management and systems engineering. IoT and digital platform based data services for sustainability, features and functionalities of PSS/PLM systems. PLM projects and demos of systems utilization. Future of PSS in various industries.

The course is designed to provide basic knowledge on principles and use of Generative Artificial Intelligence in various industries. It offers a perspective on the identification of opportunities for its application and the related challenges. Several examples of applications are given as well as the requirements presented for the successful implementation of AI systems. Course contents: 1. Basic concepts and definitions of Generative AI 2. Principles of prompts engineering 3. Review of Generative AI tools and technologies 4. Business applications of Generative AI in the selected sectors (marketing, manufacturing, healthcare, transport) 5. Strengths, risks and limitations of Generative AI 6. Requirements for implementation of Generative AI systems in organisation 7. Organisational and technical implications of Generative AI adoption 8. Ethical considerations of AI use

Main aim of the course is to help students learn and understand the unintended negative consequences of sustainability initiatives of different stakeholders and familiarize students with the emerging concepts and frameworks related to the dark side of sustainability literature. Students will learn to analyze the actions of different actors that may result in the mentioned unintended consequences as well as how to prevent and mitigate them. The course aims to enhance the development of students' critical thinking, collaboration, communication, reporting, strategic action, case study analysis and systems thinking skills to be used in future decision-making.

Basics of linear algebra, probability theory, differential equations and optimization, programming in MATLAB-Simulink and Python

Introduction to ethics. Working with technology and in companies. Responsibilities of a professional engineer. Ethical problems and critical thinking. Optional contents: Ethics in software engineering, ethics in industrial engineering and management, software engineer professional conduct and responsibilities, brief introduction to GDPR, user rights in software, ethics and AI, corporate social responsibility, ethical leadership, business ethics.