Abstract
Supply chains are usually challenged with situations of information divergence, since multiple agents with individual goals are involved. To cope with this challenge, thus improving supply chain efficiency, collaborative operational planning embodies a promising opportunity. In this paper, a structured procedure for implementing distributed planning in spare parts supply chains integrated to intelligent maintenance systems was developed, tested through simulation and had its performance compared to a classical management approach. Results indicate that distributed planning provides more efficiency even in scenarios with higher uncertainties.
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Pires, M.C., Frazzon, E.M., de Souza Silva, L., Holtz, T.H., Hellingrath, B., Saalmann, P. (2018). Collaborative Distributed Operational Planning for Spare Parts Supply Chains. In: Freitag, M., Kotzab, H., Pannek, J. (eds) Dynamics in Logistics. LDIC 2018. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-74225-0_12
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DOI: https://doi.org/10.1007/978-3-319-74225-0_12
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