Minimizing average project team size given multi-skilled workers with heterogeneous skill levels

DOI10.1016/j.cor.2015.11.011zbMath1391.90325OpenAlexW2176750819MaRDI QIDQ1651635

Matthias Walter, Jürgen Zimmermann

Publication date: 12 July 2018

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2015.11.011

zbMATH Keywords

mixed-integer programmingteam sizemulti-pass heuristicsmulti-project staffingmulti-skilled workerssocial loafing

Mathematics Subject Classification ID

Mixed integer programming (90C11) Deterministic scheduling theory in operations research (90B35) Combinatorial optimization (90C27) Discrete location and assignment (90B80) Theory of organizations, manpower planning in operations research (90B70)

Related Items (6)

A biased random-key genetic algorithm for the project scheduling problem with flexible resources ⋮ On the complexity of efficient multi-skilled team composition ⋮ A two‐layer approach for solving robust decentralized multiproject scheduling problem with multi‐skilled staff ⋮ Multi-project scheduling problem under shared multi-skill resource constraints ⋮ A column generation-based diving heuristic to solve the multi-project personnel staffing problem with calendar constraints and resource sharing ⋮ A new algorithm for resource-constrained project scheduling with breadth and depth of skills

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