Abstract
Production planning and control and more generally taking a decision in the context of production systems often consider that input information are known, static and predictable. However, uncertainties on data and perturbations are recorded in the genetic of every production system. For instance, it is impossible to know exactly the level of the demand for a product, the availability of resources, etc. Dealing with this issue raises the question of the ability to take robust decisions against uncertainty (off-line) or the ability to be flexible (on-line). This paper proposes to analyse how Product Driven Systems—as reactive systems against unpredicted perturbations—can be part of operational research solution process against perturbations. Moreover, an overview of models and approaches for dealing with uncertainty in Operational Research is given and a first proposition is made to apply these elements into PDS as decision-making-against-perturbations engines.
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Aubry, A., Bril, H., Thomas, A., Jacomino, M. (2017). Product Driven Systems Facing Unexpected Perturbations: How Operational Research Models and Approaches Can Be Useful?. In: Borangiu, T., Trentesaux, D., Thomas, A., Leitão, P., Oliveira, J. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing . SOHOMA 2016. Studies in Computational Intelligence, vol 694. Springer, Cham. https://doi.org/10.1007/978-3-319-51100-9_23
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DOI: https://doi.org/10.1007/978-3-319-51100-9_23
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