A heuristic procedure to solve the project staffing problem with discrete time/resource trade-offs and personnel scheduling constraints
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Publication type
Journal article with impact factorPublication Year
2019Journal
Computers & Operations ResearchPublication Volume
101Publication Issue
JanuaryPublication Begin page
144Publication End page
161
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Highlights • Project staffing with discrete time/resource trade-offs and calendar constraints. • An iterated local search procedure is proposed. • Different problem decomposition techniques are applied. Abstract When scheduling projects under resource constraints, assumptions are typically made with respect to the resource availability and activities are planned each with its own duration and resource requirements. In resource scheduling, important assumptions are made with respect to the staffing requirements. Both problems are typically solved in a sequential manner leading to a suboptimal outcome. We integrate these two interrelated scheduling problems to determine the optimal personnel budget that minimises the overall cost. Integrating these problems increases the scheduling flexibility, which improves the overall performance. In addition, we consider some resource demand flexibility in this research as an activity can be performed in multiple modes. In this paper, we present an iterated local search procedure for the integrated multi-mode project scheduling and personnel staffing problem. Detailed computational experiments are presented to evaluate different decomposition heuristics and comparison is made with alternative optimisation techniques.Keyword
Heuristic Programming, Time Management, Discrete Choice Models, Discrete Time Filters, Mixed Integer Linear ProgrammingKnowledge Domain/Industry
Operations & Supply Chain Managementae974a485f413a2113503eed53cd6c53
10.1016/j.cor.2018.09.008