Datadriven flödesplanering och -styrning 5 hp

The course is primarily aimed at working professionals in industry who wish to increase their knowledge of data-driven operations planning and control of materials and capacity. The area of use and the role of data-driven Artificial intelligence (AI) is gaining interest also in industrial contexts. Data-driven AI enables the industry to improve on decision support in for instance generating forecasts of capacity and demand for provisioning of products and services. However, to utilize data-driven AI for operations planning and control, it is important to also understand the theoretical foundation of forecasting as well as planning and control of capacity and materials. This is the starting point of this course, where participants are provided with the theoretical foundation of planning and control covering forecasting, capacity management and materials management within an industrial context. This theoretical knowledge is also converted into practice using different practical planning and control assignments to further aid the learning process. Connected to the assignments, participants will also be given the opportunity to work on company specific problems/challenges related to for example data-driven forecasting.

Kursinnehåll

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Förkunskapskrav

Passed courses of at least 40 credits in the main field of study within Engineering and Technology, Natural Science or Social Sciences, and at least 1 years of work experience (or equivalent). English proficiency is required (level 6 or equivalent). Applicants with an academic degree of at least 180 credits within Engineering and Technology, Natural Science or Social Sciences field are exempt from the work experience requirement. Applicants that have at least 4 years of work experience in the industry are exempt from the requirement of academic degree or courses of at least 40 credits within Engineering and Technology, Natural Science or Social Sciences field.

Urval

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Utbildningsnivå: Avancerad nivå

Kurskod/Ladokkod: TFSR24

Kursen ges vid: Tekniska högskolan

Label Value
Studieform Nätbaserad distans
Antal träffar 0
Termin Våren 2025
Studietakt 25%
Undervisningsspråk Engelska
Ort Ortsoberoende
Kurstid Blandad undervisningstid
Platser 20.0
Studieavgift Gäller enbart studenter utanför EU/EES/Schweiz: 12500 SEK
Kursplan PDF
Anmälningskod HJ-23132