DocumentCode :
2221710
Title :
Data and GP modeling framework for manpower planning: The case of fixed-length duties
Author :
Chu, S.C.K. ; Zhu, M.
Author_Institution :
Dept. of Math., Univ. of Hong Kong, Hong Kong, China
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
138
Lastpage :
142
Abstract :
In the context of manpower planning in general, and with respect to fixed-length shift-duties in particular, Goal Programming (GP) is often useful as an optimization modeling technique for generating shift-duties of worker schedules. A (regular-time) fixed-length duty consists of a fixed number of contiguous hours of work in a day, with a meal/rest break somewhere preferably around the middle of these working hours. It is such properties that enable the straightforward, yet flexible modeling and computation. Such an optimization modeling is built upon the essential foundation of a detailed data modeling and its analysis for all the driving parameters and demand/supply input necessary for numerical computations. Hence data model and GP model form two integral components of this project. Results reported here illustrate the case of baggage service agents planning at the Hong Kong International Airport. Finally, implementation as DSS is briefly described.
Keywords :
data models; genetic algorithms; human resource management; labour resources; mathematical programming; GP modeling framework; Hong Kong International Airport; baggage service agents; data modeling framework; detailed data modeling; driving parameters; fixed-length duties; fixed-length shift-duties; flexible modeling; goal programming; integral components; manpower planning; numerical computation; optimization modeling; regular-time fixed-length duty; Airplanes; Airports; Computational modeling; Context modeling; Data models; Labor resources; Mathematical model; Mathematical programming; Mathematics; Processor scheduling; Fixed-length shift-duties; data modeling; manpower planning; optimization modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2629-4
Electronic_ISBN :
978-1-4244-2630-0
Type :
conf
DOI :
10.1109/IEEM.2008.4737847
Filename :
4737847
Link To Document :
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