Industrial Services
- type: Lecture (V)
- semester: WS 21/22
-
time:
We 2021-10-27
16:00 - 19:30
10.11 Hertz-Hörsaal
10.11 Verwaltungsgebäude, Hauptbau (OG 1)
We 2021-11-10
16:00 - 19:30
10.11 Hertz-Hörsaal
10.11 Verwaltungsgebäude, Hauptbau (OG 1)
We 2021-11-24
16:00 - 19:30
10.11 Hertz-Hörsaal
10.11 Verwaltungsgebäude, Hauptbau (OG 1)
We 2021-12-08
16:00 - 19:30
10.11 Hertz-Hörsaal
10.11 Verwaltungsgebäude, Hauptbau (OG 1)
We 2021-12-22
16:00 - 19:30
10.11 Hertz-Hörsaal
10.11 Verwaltungsgebäude, Hauptbau (OG 1)
We 2022-01-19
16:00 - 19:30
10.11 Hertz-Hörsaal
10.11 Verwaltungsgebäude, Hauptbau (OG 1)
We 2022-02-02
16:00 - 19:30
10.11 Hertz-Hörsaal
10.11 Verwaltungsgebäude, Hauptbau (OG 1)
- lecturer: Prof. Dr. Hansjörg Fromm
- sws: 2
- lv-no.: <a target="lvn" href="https://campus.studium.kit.edu/events/0x4BE3059D6EDC48C29BD27422477FA588">2595505</a>
Content | Services are becoming ever more important in business. Today, the gross income share of services in Germany exceeds 70%. Following this trend, many companies that previously focused solely on the sale of goods, strive to an extension of their business model: In order to realize new competitive advantages in domestic and international markets, they enrich their material goods with customer-specific services. This transformation to a provider of integrated solutions is called "Servitization" (Neely 2009). For this reason, so-called industrial services to companies of increasing importance. They benefit from the increasingly detailed data collected (on "Big Data"), e.g. concerning user profiles, failure statistics, usage history, accrued expenses, etc. Only these data allow in principle to end products and spare parts are delivered faster, cheaper and more targeted and technicians can be used more efficiently with the correct skills. This requires, however, also suitable methods of optimization, prognosis or predictive modeling. When used properly, such methods can minimize logistics costs, increase availability, prevent potential failures and improve repair planning. This is also enabled by latest "Technology Enabled Services" along with corresponding data transfer and analysis ("Internet of Things", automatic error detection, remote diagnostics, centralized collection of consumption data, etc.). The change from goods manufacturer to a provider of integrated solutions requires new services, transformation of business models as well as intelligent new contract types, which are addressed in the course as well. More specifically, the lessons of this lecture will include:
Learning Goals: Update March 2020: The lecture was offered the last time in the winter term 2019/20. The exam in the summer term 2020 is still open to all students. The exam in the winter term 2020/21 is only open to students that previously failed the exam. |
Language of instruction | German |
Bibliography | Silver, E. A., Pyke, D. F., & Peterson, R. (1998). Inventory management and production planning and scheduling (Vol. 3, p. 30). New York: Wiley. Pintelon, L., & Van Puyvelde, F. (2013). Asset Management. The Maintenance Perspective. Acco. Chopra, S., & Meindl, P. (2007). Supply chain management. Strategy, planning & operation. In Das summa summarum des management (pp. 265-275). Gabler. Koole, G. (2007). Call Center Mathematics: A scientific method for understanding and improving contact centers. Departement of Mathematics, Vrije Universiteit, Amsterdam. Oliva, R., & Kallenberg, R. (2003). Managing the transition from products to services. International journal of service industry management, 14(2), 160-172. |