Skip to main content

IoT Visibility Software Architecture to Provide Smart Workforce Allocation

  • Chapter
  • First Online:
Service Orientation in Holonic and Multi-Agent Manufacturing

Abstract

In manufacturing and logistics companies there are many processes and services that cannot be fully automated and the integration with workforce is the key to provide better results. One example is Airport Ground handling operations where agents, operators, drivers or aircraft crews need to generate and feed information from other processes and events in order to provide better schedules. This work uses manufacturing and Internet of Things (IoT) concepts to design software architecture to generate an uncoupled workforce information feedback for current agent-based decision-making frameworks. In the case at hand, the architecture is implemented in a cloud-based commercial solution called “aTurnos”, which has already been deployed by different companies to schedule working shifts for over 25,000 employees. The handling company being analysed in this paper requires a dynamic allocation of employees and tasks with updated field information about the status of workers in real time.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Zhang, P., et al.: The Influence of Industries and Practice on the IS Field: A Recount of History in Twentieth Americas Conference on Information Systems, Savannah (2014)

    Google Scholar 

  2. Luftman, J.: Strategic alignment maturity. Handbook on Business Process Management 2, pp. 5–43. Springer, Berlin, Heidelberg (2015)

    Google Scholar 

  3. García Ansola, P., et al.: Distributed decision support system for airport ground handling management using WSN and MAS. Eng. Appl. Artif. Intell. 25(3), 544–553 (2012)

    Article  Google Scholar 

  4. Ashford, N., Stanton, H., Moore, C.: Airport Operations. McGraw-Hill Professional, New York (1998)

    Google Scholar 

  5. Flynn, B.B., Schroeder, R.G., Sakakibara, S.: The impact of quality management practices on performance and competitive advantage. Decis. Sci. 26(5), 659–691 (1995)

    Article  Google Scholar 

  6. Liu, L.: From data privacy to location privacy: Models and algorithms. In Proceedings of the 33rd International Conference on Very Large Data Bases (VLDB) Endowment (2007)

    Google Scholar 

  7. López, T.S., et al.: Adding sense to the internet of things. Pers. Ubiquit. Comput. 16(3), 291–308 (2012)

    Article  Google Scholar 

  8. Da Xu, L., He, W., Li, S.: Internet of things in industries: A survey. IEEE Trans. Industr. Inf. 10(4), 2233–2243 (2014)

    Article  Google Scholar 

  9. Colombo, A.W., et al.: Industrial cloud-based cyber-physical systems, The IMC-AESOP Approach (2014)

    Google Scholar 

  10. De Weerdt, M., Clement, B.: Introduction to planning in multiagent systems. Multiagent Grid Syst. 5(4), 345–355 (2009)

    Google Scholar 

  11. Leitão, P.: Agent-based distributed manufacturing control: A state-of-the-art survey. Eng. Appl. Artif. Intell. 22(7), 979–991 (2009)

    Article  Google Scholar 

  12. McFarlane, D., et al.: Intelligent products in the supply chain—10 years on. Service Orientation in Holonic and Multi Agent Manufacturing and Robotics, pp. 103–117. Springer, Berlin, Heidelberg (2013)

    Chapter  Google Scholar 

  13. Archimede, B., et al.: Towards a distributed multi-agent framework for shared resources scheduling. J. Intell. Manuf. 25(5), 1077–1087 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pablo García Ansola .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Ansola, P.G., García, A., de las Morenas, J. (2016). IoT Visibility Software Architecture to Provide Smart Workforce Allocation. In: Borangiu, T., Trentesaux, D., Thomas, A., McFarlane, D. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. Studies in Computational Intelligence, vol 640. Springer, Cham. https://doi.org/10.1007/978-3-319-30337-6_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-30337-6_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30335-2

  • Online ISBN: 978-3-319-30337-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics