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Vorlesung + Übung: Service Operations - Details
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Lehrveranstaltung wird als Hybrid/gemischt abgehalten.

General information

Course name Vorlesung + Übung: Service Operations
Semester SS 2023
Current number of participants 144
Home institute Prof. Dr. Jens Brunner - Health Care Operations / Health Information Management
participating institutes Institut für Betriebswirtschaftslehre, Wirtschaftswissenschaftliche Fakultät
Courses type Vorlesung + Übung in category Teaching
First date Thursday, 20.04.2023 14:00 - 15:30
Pre-requisites Basic knowledge in operations management (e.g. BSc course "Produktion und Logistik"), basic knowledge in mathematics (including Linear Programming, e.g. BSc course "Mathematik I + II") and in statistics (probability distributions, e.g. BSc courses "Statistik I + II").
Online/Digitale Veranstaltung Veranstaltung wird als Hybrid/gemischt abgehalten.
Hauptunterrichtssprache englisch
Literaturhinweise Fitzsimmons JA and Fitzsimmons MJ: Service Management: Operations, Strategy, Information Technology, McGraw-Hill.

Haksever C, Render B, Russell RS, and Murdick RG: Service Management and Operations, Prentice Hall.

Nahmias S: Production and Operations Analysis, McGraw-Hill.

Cachon G and Terwiesch C: Matching Supply with Demand, McGraw-Hill.

Pinedo ML: Planning and Scheduling in Manufacturing and Services, in: Springer Series in Operations Research and Financial Engineering, Glynn PW and Robinson SM (eds.), Springer.

Talluri KT and Van Ryzin GJ: The Theory and Practice of Revenue Management, in: International Series in Operations Research & Management Science, Hillier FS (ed.), Springer.

For all books, the most recent edition is relevant.
Additional literature will be announced in the semester.
ECTS points 5

Rooms and times

No room preference
Tuesday: 10:00 - 11:30, weekly
Thursday: 14:00 - 15:30, weekly

Module assignments

Comment/Description

The course deals with general topics of service operations management and is divided into the following
parts:
1. Workforce Planning and Scheduling
2. Forecasting
3. Inventory Management
4. Waiting Line Management
5. Revenue Management
6. Scheduling
7. Q&A