Pontificia Universidad Católica de Chile Pontificia Universidad Católica de Chile
Arias M., Muñoz-Gama J., Sepúlveda M. and Miranda J.C. (2018)

Human Resource Allocation or Recommendation Based in Multi-factor Criterion in On-demand and Batch Scenarios

Revista : European Journal of Industrial Engineering
Volumen : 12
Número : 3
Páginas : 364-404
Tipo de publicación : ISI Ir a publicación


Dynamic resource allocation is considered a major challenge in the context of business process management. At the operational level, flexible methods that support resource allocation and which consider different criteria at run-time are required. It is also important that these methods are able to support multiple allocations in a simultaneous manner. In this paper, we present a framework based on multi-factor criteria that proposes a recommender system which is capable of recommending the most suitable resources for executing a range of different activities, while also considering individual requests or requests made in blocks. To evaluate the proposed framework, a number of experiments were conducted using different test scenarios. These scenarios provide evidence that our approach based on multi-factor criteria successfully allocates the most suitable resources for executing a process in real and flexible environments. In order to demonstrate this assertion, we use a help-desk process as a real case study.