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Developing an Ambient Intelligent-Based Decision Support System for Production and Control Planning

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Intelligent Systems Design and Applications (ISDA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 557))

Abstract

Scheduling production instructions in a manufacturing facility is key to assure a efficient process that assures the desired product quantities are produced in time, with quality and with the right resources. An efficient production avoids the creation of downstream delays, and early completion which both can be detrimental if storage space is limited and contracted quantities are important. Therefore, the production, planning and control of manufacturing is increasingly more difficult as family products increases. This paper presents an ongoing Ambient Intelligent decision support system development that aims to provide assistance on the creation on standard work procedures that assure production quantity and efficiency by means of ambient intelligence, optimization heuristics and machine learning in the context of a large organization.

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References

  1. van der Aalst, W.M.P., Reijers, H.A., Weijters, A.J.M.M., van Dongen, B.F., Alves de Medeiros, A.K., Song, M., Verbeek, H.M.W.: Business process mining: an industrial application. Inf. Syst. 32(5), 713–732 (2007). http://dx.doi.org/10.1016/j.is.2006.05.003

    Article  Google Scholar 

  2. Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes, 1st edn. Springer Publishing Company Incorporated, Heidelberg (2011)

    Book  MATH  Google Scholar 

  3. Emiliani, M.: Standardized work for executive leadership. Leadersh. Organ. Dev. J. 29(1), 24–46 (2008)

    Article  Google Scholar 

  4. Productivity Press Development Team: Standard Work for the Shopfloor (2002)

    Google Scholar 

  5. Ungan, M.C.: Standardization through process documentation. Bus. Process Manag. J. 12(2), 135–148 (2006)

    Article  Google Scholar 

  6. Williams, B.A.: Standard work-lean tools and techniques. SAE Technical Paper (2001)

    Google Scholar 

  7. Wu, L., Oviatt, S.L., Cohen, P.R.: Multimodal integration - a statistical view. IEEE Trans. Multimed. 1, 334–341 (1999)

    Article  Google Scholar 

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Acknowledgements

This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within the Project Scope UID/CEC/00319/2013. This research is also sponsored by the Portugal Incentive System for Research and Technological Development. Project in co-promotion no 002814/2015 (iFACTORY 2015-2018).

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Authors and Affiliations

  1. Department of Informatics, University of Minho, Braga, Portugal

    Marco Gomes, Fábio Silva, Filipa Ferraz, António Silva, Cesar Analide & Paulo Novais

Authors
  1. Marco Gomes
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  2. Fábio Silva
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  3. Filipa Ferraz
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  4. António Silva
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  5. Cesar Analide
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  6. Paulo Novais
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Corresponding author

Correspondence to Marco Gomes .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Instituto Superior de Engenharia do Port, Porto, Portugal

    Ana Maria Madureira

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  3. Polytechnic Institute of Porto, Felgueiras, Portugal

    Dorabela Gamboa

  4. Campus of Gualtar, University of Minho, Braga, Portugal

    Paulo Novais

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Gomes, M., Silva, F., Ferraz, F., Silva, A., Analide, C., Novais, P. (2017). Developing an Ambient Intelligent-Based Decision Support System for Production and Control Planning. In: Madureira, A., Abraham, A., Gamboa, D., Novais, P. (eds) Intelligent Systems Design and Applications. ISDA 2016. Advances in Intelligent Systems and Computing, vol 557. Springer, Cham. https://doi.org/10.1007/978-3-319-53480-0_97

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  • DOI: https://doi.org/10.1007/978-3-319-53480-0_97

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53479-4

  • Online ISBN: 978-3-319-53480-0

  • eBook Packages: EngineeringEngineering (R0)

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