A new method to solve project scheduling problems with multi-skilled workforce constraints

Author

Wang Yi-fan ; Sun Fu-quan ; Liu Shi-xin ; Chen Di

Author_Institution

Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

fYear

2013

fDate

25-27 May 2013

Firstpage

2408

Lastpage

2412

Abstract

With the developing of technology and economic of society, skilled workforce has been playing as the key role through the trend of prosperity. Project scheduling problems with multi-skilled workforce constraints (PSPMSWC) have become a research hotpot in the field of human resource allocation and project scheduling. Following the description and model of the PSPMSWC, a hybrid Benders decomposition (HBD) algorithm is presented in detail as well as the scheme of total solving process with heuristic inferring. After the programming and solving operation, results are gathered and analyzed afterward with conclusion at last.

Keywords

combinatorial mathematics; human resource management; optimisation; personnel; project management; resource allocation; scheduling; HBD algorithm; PSPMSWC; heuristic inference; human resource allocation; hybrid Benders decomposition algorithm; multiskilled workforce constraints; project scheduling problem; Algorithm design and analysis; Job shop scheduling; Optimized production technology; Resource management; Schedules; Heuristic inferring; Hybrid Benders decomposition; Multi-skilled workforce; Project Scheduling;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2013 25th Chinese

Conference_Location

Guiyang

Print_ISBN

978-1-4673-5533-9

Type

conf

DOI

10.1109/CCDC.2013.6561342

Filename

6561342