Tuotantotalous - Industrial Engineering and Management

Diplomityö on diplomi-insinöörin tutkinnon opinnäyte. Yleensä työ on yrityksen toimeksiannosta tehty kehittämishanke, jonka kesto on noin 6 kuukautta. Työ sisältää vastuullisen työskentelyn tuotantotalouden alaan liittyvässä yrityksen kehittämishankkeessa, hankkeen raportoinnin diplomityön muodossa ja oman työn esittelyn 1. tarkastajan määräämällä tavalla. Ennen työn palautusta sen alkuperäisyys on tarkastettava kurssin moodle-sivuilla Turnitin-ohjelmalla. Tuotantotalouden koulutusohjelma järjestää lukuvuosittain diplomityöinfot Lappeenrannassa suomeksi ja englanniksi. Lahdessa infot järjestetään ohjelmakohtaisesti. Opiskelijan on anottava diplomityön aiheen vahvistamista (1A-lomake) heti, kun työn aihe ja ohjaaja ovat tiedossa. Lisätietoja eLUT:ssa.

Aihepiireinä ovat analytiikassa tarvittavat työkalut, datasettien hallinta, raakadatan käsittely ja tulosten esittäminen.Itsenäistä työskentelyä SAS oppimisympäristössä.

Digitaalinen liiketoiminta ja liiketoimintaprosessit, ohjelmistorobotiikka (RPA) ja älykäs automaatio, ohjelmistorobotiikan ominaisuudet, käyttökohteet ja työkalut. Harjoitustyönä käyttöliittymäautomaation/integraation toteuttaminen RPA-työkalulla.

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 chemical industries, ethics in industrial engineering and management, software engineer professional conduct and responsibilities, brief introduction to GDPR, user rights in software, corporate social responsibility, ethical leadership, business ethics, chemical safety, environmental aspects of chemical use.

The primary focus of this course is on Data Warehousing and it's applications to business Intelligence. It emphasizes on employing data warehousing to support the decision-making process. It also covers the architectures of data warehousing and the infrastructural settings to develop them. It explains dimensional model design, conceptual, logical, and physical database design for data warehousing, various ways of extracting, transforming, and loading strategies to support the decision-making process. Practical hands on for planning, designing, developing, implementing, and administrating a data warehouse for business intelligence applications including the use of Data Mining tool.

Theory of ERP systems and security of ERP systems. SAP business processes:Logistics Purchasing Inventory Management Warehouse Management Production Contro Sales and Distribution Plant maintenance Project Management Accounting Financial Accounting Controlling Human Capital Management

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 course Systematic Creativity and TRIZ.

Inventory management, resource planning, capacity optimization, lean manufacturing, operation efficiency improvement, operations performance

Tutustutaan yrityksen liiketoimintaan ja johtamiseen, erityisesti kustannusjohtamiseen, toimitusketjuihin ja liiketoimintaprosesseihin, innovaatio- ja teknologiajohtamiseen.

Tutustutaan yrityksen liiketoimintaan ja johtamiseen, erityisesti kustannusjohtamiseen, toimitusketjuihin ja liiketoimintaprosesseihin, innovaatio- ja teknologiajohtamiseen.

Must know: The fundamental definitions and concept of open innovation. Modes and implementations of open innovation, i.e. ways to manage purposive in- and outflows of knowledge to collaboratively develop and/or commercialize innovations. Difference between closed and open innovation in managing technology. Identifying open innovation activities in real life firms. Monetary and strategic motives for engaging in open innovation and collaborative networks. Should know: Process models of inbound, outbound and coupled open innovation. The relation between corporate strategy, technology strategy and open innovation activities. Models of distributed innovation such as crowd-based open innovation. Most common examples of firms used to explain open innovation. Platforms and ecosystems role in business and innovation. Varying topics from state-of-the-art open innovation research, depending on guest lecturer. Basics of IPR management in open innovation. Nice to know:Development of the open innovation concept on the basis of prior innovation management theories. Knowledge of the main scientific literature surrounding open innovation. Theoretical determinants of open innovation and future perspectives towards the phenomenon.

This course aims equip students with deeper understanding of qualitative methodologies in innovation and logistics, specifically case studies. Students will learn to apply qualitative methodology, create a research design, collect and report data. The course includes seminars, students groups work and presentations. The real companies cases are used in this course. Course includes a group-based innovation challenge for a real-life company, for which schedules will be agreed upon on the introduction lecture.

Among lectures, course contains software exercises and own built quantitative model with solution and analysis.

The lectures cover a range of topics concerning business marketing, including organizational Buying Behavior in business markets; Strategic planning for global business markets; Market Research; Segmentation, targeting, and positioning; Market entry tactics; Product strategy and product development; Digitization and services for business markets; Managing Pricing and Business Marketing Channels; Business to business marketing communications; Contemporary Issues in business marketing. The course integrates theory and practice to foster active involvement and self-reflection and aid students in preparing for professional practice.

The course focuses on the preparation and analysis of financial statements, and on the form of financial statements. The course will also cover the basics of financial reports and transactions. During the course will provide students understanding about accounting terms, and how financial statements are constructed. It will also give them ability to read financial statements. Core content: Accrual accounting, revenue, inventory, intangible assets, finance investments, liabilities and stockholders' equity.

Core content: practical study-related information, introduction to the major subjects of industrial engineering and management, learning skills, time management, library databases and information search, personal curriculum, and study and career plan.

Business planning, business modeling, start-ups, financial issues, business networks, development of entrepreneurial skills and competences

Excel kertausta, Pivot, PowerPivot, PowerQuery, tekstitiedostojen ja tietokantojen tuonti Exceliin, datan visualisointi, raportointi, ehdollinen muotoilu

Must know: The fundamental definitions and concept of open innovation. Modes and implementations of open innovation, i.e. ways to manage purposive in- and outflows of knowledge to collaboratively develop and/or commercialize innovations. Difference between closed and open innovation in managing technology. Identifying open innovation activities in real life firms. Monetary and strategic motives for engaging in open innovation. Should know: Process models of inbound, outbound and coupled open innovation. The relation between corporate strategy, technology strategy and open innovation activities. Models of distributed innovation such as crowd-based open innovation. Most common examples of firms used to explain open innovation. Platforms and ecosystems role in business and innovation. Varying topics from state-of-the-art open innovation research, depending on guest lecturer. Basics of IPR management in open innovation. Nice to know: Development of the open innovation concept on the basis of prior innovation management theories. Knowledge of the main scientific literature surrounding open innovation. Theoretical determinants of open innovation and future perspectives towards the phenomenon.