Crew scheduling is very important, especially in continuous operating environments running 24 hours a day, 7 days a week, more so if the demand for staff is varying over each hour of the day. This thesis focuses on staff optimization in a fast food chain where special conditions for scheduling like flexible starting-times and shift lengths or heterogeneous crew are present. Two new models based on a mixed integer programming approach were designed, dealing with data from a particular restaurant with the aim of improving schedules and saving time spent on the creation of those schedules. At the end of the thesis the empiric schedules and results obtained are compared and the computational efficiency of both models is discussed.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:124620 |
| Date | January 2011 |
| Creators | Havlová, Irena |
| Contributors | Zouhar, Jan, Kořenář, Václav |
| Publisher | Vysoká škola ekonomická v Praze |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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