Flexible Shift Planning in the Service Industry The Case of Physicians in Hospitals /

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 1...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Brunner, Jens O. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:Lecture Notes in Economics and Mathematical Systems, 640
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Brunner, Jens O.  |e author. 
245 1 0 |a Flexible Shift Planning in the Service Industry  |h [electronic resource] :  |b The Case of Physicians in Hospitals /  |c by Jens O. Brunner. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2010. 
300 |a XI, 117 p. 25 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Lecture Notes in Economics and Mathematical Systems,  |x 0075-8442 ;  |v 640 
505 0 |a Literature Review on Personnel Scheduling -- MIP Model for Flexible Shift Scheduling of Physicians -- Solution Methodologies -- Experimental Investigations -- Conclusions and Further Remarks. 
520 |a 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. 
650 0 |a Medicine. 
650 0 |a Organization. 
650 0 |a Planning. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Public health. 
650 0 |a Mathematical optimization. 
650 0 |a Management science. 
650 1 4 |a Medicine & Public Health. 
650 2 4 |a Medicine/Public Health, general. 
650 2 4 |a Operation Research/Decision Theory. 
650 2 4 |a Optimization. 
650 2 4 |a Public Health. 
650 2 4 |a Operations Research, Management Science. 
650 2 4 |a Organization. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642105166 
830 0 |a Lecture Notes in Economics and Mathematical Systems,  |x 0075-8442 ;  |v 640 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-10517-3  |z Full Text via HEAL-Link 
912 |a ZDB-2-SME 
950 |a Medicine (Springer-11650)