Services are the largest and fastest growing segment of our economy. However, services pose particular challenges to managers due to their intangible and experiential nature, perishability and high levels of customer involvement. Accordingly, managing services requires tight integration between operations, marketing, strategy, technology, and organizational issues from an integrated viewpoint with a focus on the customer. Therefore, it is important to understand both, how services differ from manufacturing operations and to understand the potential and limitations of how traditional operations management techniques can be applied to services. This course provides managerial concepts and selected analytical tools for effectively and efficiently managing service operations in face of these challenges. In particular, we will look at critical management decisions related to service strategy development, service operations design, service process analysis and improvement, capacity management and scheduling, revenue management, service experience design, etc. For understanding and developing the managerial concepts underlying productive service systems, we will rely on fundamental theory, state-of-the-art research insights, and actual case studies of firms that have achieved long-term profitability in practice. Applications cover a broad range of service industries, such as transport and communication, retailing, hospitality, professional services, e-services, as well as service functions of the manufacturing sector.
Students will 1) get familiarized with the challenging decisions and problems in service (operations) management, and 2) learn concepts, analytical tools and managerial insights to deal with these issues in order to gain competitive advantage through service operations. The course should be useful for anyone with an intention of going into professional services such as consulting; into industry (service or manufacturing), where the importance of managing service processes is increasing every day; or with a desire to set up their own service business.
Basic knowledge in operations management, basic knowledge in mathematics (including Linear Programming) and in statistics (probability distributions).
|Forms of teaching and learning||Contact hours||Independent study time|
|Lecture||2 SWS||8 SWS|
|Exercise class||2 SWS||5 SWS|
|Form of assessment||Written exam (90 min)|
Prof. Dr. Cornelia Schön
Prof. Dr. Cornelia Schön
|Frequency of offering||Spring semester|
|Duration of module||1 semester|
|Range of application||M.Sc. MMM, M.Sc. Bus. Edu., M.Sc. Econ., M.Sc. Bus. Inf., M.Sc. Bus. Math., MAKUWI|
|Preliminary course work||–|
|Program-specific Competency Goals||CG 1|
|Course outline||Topics include, e.g.,