EconPapers    
Economics at your fingertips  
 

Benders Decomposition Approach for Project Scheduling with Multi-Purpose Resources

Haitao Li ()
Additional contact information
Haitao Li: University of Missouri

Chapter Chapter 27 in Handbook on Project Management and Scheduling Vol.1, 2015, pp 587-601 from Springer

Abstract: Abstract Staffing projects often requires both assignment and scheduling decisions to be made, which leads to a computationally demanding large-scale optimization problem. In this chapter, we show that a general class of assignment-type resource-constrained project scheduling problems (RCPSPs) can be handled by a hybrid Benders decomposition (HBD) approach. Our HBD framework extends the classical Benders decomposition method (Benders, Numer Math 4:238–252, 1962) by integrating solution techniques in math programming and constraint programming (CP). Effective cut generation schemes are devised to improve the algorithm performance. Performance of our HBD is demonstrated on a project scheduling problem with multi-skilled workforce. Extensions to the basic HBD framework are discussed.

Keywords: Constraint programming; Hybrid Benders decomposition; Multi-skilled personnel; Project scheduling; Project staffing; Resource constraints (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ihichp:978-3-319-05443-8_27

Ordering information: This item can be ordered from
http://www.springer.com/9783319054438

DOI: 10.1007/978-3-319-05443-8_27

Access Statistics for this chapter

More chapters in International Handbooks on Information Systems from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-23
Handle: RePEc:spr:ihichp:978-3-319-05443-8_27