Dissertation: Decision Support for Movie Scheduling in a Multiplex

Decision Support for Movie Scheduling in a Multiplex

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QM – Quantitative Methoden in Forschung und Praxis, volume 49

Hamburg , 312 pages

ISBN 978-3-339-11398-6 (print) |ISBN 978-3-339-11399-3 (eBook)

About this book deutschenglish

The weekly movie scheduling decisions depend on several influencing factors. These include weekly demand forecasts for films, contractual agreements with movie distributors and architectural limitations of movie theaters. Taking into account all these limitations, the planners do not only have to decide in which room a film should be shown, but also at what time while considering a certain objective like generating the highest possible demand or maximizing revenue.

On major target of this study is to develop a decision support system that incorporates all requirements and automatically creates a program plan, not only to speed up the planning process (to reduce operational expenses) but also to improve the program schedule (to increase ticket sales or total revenue).

The research study starts with an analysis of sales data provided by one of the largest cinema chains in Germany. The data set contains sales figures of past show starts for all theater locations operated by the cooperation partner across Germany. Based on a model free evidence and a cluster analysis, similar demand patterns for particular genres can be identified in the data. By means of these findings, three classes are determined, to which the genres in the data set can be assigned. For all classes, the weekly demand patterns are estimated and in the course of this a so called „Finger Model“ is developed. This model maps the percentage distribution of the weekly demand of a movie over the days of the week.

In addition to the analysis of the demand side, the development of a mixed-integer optimization model, which takes into account the above-mentioned requirements, forms another important part of this work.

The results of an empirical study indicate that movie schedules calculated by the optimization models show a lot of potential to further improve the movie schedules created by the cooperation partner.

Ihr Werk im Verlag Dr. Kovač

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