|
|
|
|
LEADER |
03120nam a22005655i 4500 |
001 |
978-3-642-10517-3 |
003 |
DE-He213 |
005 |
20151204184251.0 |
007 |
cr nn 008mamaa |
008 |
100301s2010 gw | s |||| 0|eng d |
020 |
|
|
|a 9783642105173
|9 978-3-642-10517-3
|
024 |
7 |
|
|a 10.1007/978-3-642-10517-3
|2 doi
|
040 |
|
|
|d GrThAP
|
050 |
|
4 |
|a R1
|
072 |
|
7 |
|a MB
|2 bicssc
|
072 |
|
7 |
|a MED000000
|2 bisacsh
|
082 |
0 |
4 |
|a 610
|2 23
|
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
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
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)
|