Flexible Shift Planning in the Service Industry [recurso electrónico] : The Case of Physicians in Hospitals / by Jens O. Brunner.
Tipo de material: TextoSeries Lecture Notes in Economics and Mathematical Systems ; 640Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Descripción: XI, 117p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642105173Tema(s): Economics | Operations research | Business planning | Personnel management | Economics/Management Science | Operations Research/Decision Theory | Public Health/Gesundheitswesen | Operations Research, Mathematical Programming | Organization/Planning | Personnel ManagementFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 658.40301 Clasificación LoC:HD30.23Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | HD30.23 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 373812-2001 |
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Literature Review on Personnel Scheduling -- MIP Model for Flexible Shift Scheduling of Physicians -- Solution Methodologies -- Experimental Investigations -- Conclusions and Further Remarks.
The book presents new ideas to model and solve the flexible shift planning problem of personnel workers in the service industry. First, a new modeling approach is proposed that requires shifts to be generated implicitly rather than employing a predefined set of shift types like three 8-hour or two 12-hour shifts to cover varying forecast demand. The objective is to minimize the total cost of the assignments given the general and individual labor restrictions. Second, to find high quality assignments two solution methodologies are presented. A heuristic decomposition strategy decomposes the problem into weekly subproblems whereas a branch-and-price algorithm that uses several branching rules decomposes the model by worker types. The master problem uses a set covering formulation whereas the subproblems are mixed integer programs. The modeling and solution methodologies are developed and tested using the example of physicians from an anesthesia department of a German university hospital.
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