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Event Monitoring System to Classify Unexpected Events for Production Planning

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Enterprise Information Systems (ICEIS 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 291))

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Abstract

Production planning prepares companies to a future production scenario. The decision process followed to obtain the production plan considers real data and estimated data of this future scenario. However, these plans can be affected by unexpected events that alter the planned scenario and in consequence, the production planning. This is especially critical when the production planning is ongoing. Thus providing information about these events can be critical to reconsider the production planning. We herein propose an event monitoring system to identify events and to classify them into different impact levels. The information obtained from this system helps to build a risk matrix, which determines the significance of the risk from the impact level and the likelihood. A prototype has been built following this proposal.

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Acknowledgements

This research has been carried out in the framework of the project GV/2014/010 funded by the Generalitat Valenciana (Identificación de la información proporcionada por los nuevos sistemas de detección accesibles mediante internet en el ámbito de las “sensing enterprises” para la mejora de la toma de decisiones en la planificación de la producción).

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Authors and Affiliations

  1. Research Centre on Production Management and Engineering (CIGIP), Universitat Politècnica de València, Valencia, Spain

    Andrés Boza, Faustino Alarcón, M. M. E. Alemany & Llanos Cuenca

Authors
  1. Andrés Boza
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  2. Faustino Alarcón
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  3. M. M. E. Alemany
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  4. Llanos Cuenca
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Corresponding author

Correspondence to Andrés Boza .

Editor information

Editors and Affiliations

  1. MODESTE/ESEO, Angers, France

    Slimane Hammoudi

  2. Wroclaw University of Economics, Wroclaw, Poland

    Leszek A. Maciaszek

  3. ISTC-CNR, Institute of Sciences and Technologies of Cognition, Rome, Italy

    Michele M. Missikoff

  4. MODESTE/ESEO, Angers, France

    Olivier Camp

  5. EST, Instituto Politécnico de Setúbal (IPS), Setúbal, Portugal

    José Cordeiro

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Boza, A., Alarcón, F., Alemany, M.M.E., Cuenca, L. (2017). Event Monitoring System to Classify Unexpected Events for Production Planning. In: Hammoudi, S., Maciaszek, L., Missikoff, M., Camp, O., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2016. Lecture Notes in Business Information Processing, vol 291. Springer, Cham. https://doi.org/10.1007/978-3-319-62386-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-62386-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62385-6

  • Online ISBN: 978-3-319-62386-3

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