Scheduling projects with multi-skilled personnel by a hybrid MILP/CP benders decomposition algorithm

  • Authors:
  • Haitao Li;Keith Womer

  • Affiliations:
  • College of Business Administration, University of Missouri--St. Louis, St. Louis, USA 63121;College of Business Administration, University of Missouri--St. Louis, St. Louis, USA 63121

  • Venue:
  • Journal of Scheduling
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

We study an assignment type resource-con- strained project scheduling problem with resources being multi-skilled personnel to minimize the total staffing costs. We develop a hybrid Benders decomposition (HBD) algorithm that combines the complimentary strengths of both mixed-integer linear programming (MILP) and constraint programming (CP) to solve this NP-hard optimization problem. An effective cut-generating scheme based on temporal analysis in project scheduling is devised for resolving resource conflicts. The computational study shows that our hybrid MILP/CP algorithm is both effective and efficient compared to the pure MILP or CP method alone.