Skip to main content

Effects of At-Home Nursing Service Scheduling in Multiagent Systems

  • Chapter
  • 665 Accesses

Part of the book series: Studies in Computational Intelligence ((SCI,volume 134))

Abstract

In this paper, we propose a method of discovering the best combination between helpers and elders under much restriction based on multi-agent systems. Scheduling problem is defined as task assignment problem. Computational costs increase exponentially according to the number of restrictions. We present a new allocation algorithm which uses agent based experienced technique to detect an efficient allocation. The agent technology is one field of the artificial intelligence. It is promising in the negotiation among users who have various roles because of the problem solving. Our proposing method is based on constraint satisfaction problem. We also derive the optimal solution with reducing the solution space. To use our proposed calculation method, elderly person can serve an effective service allocation since business managers can improve their tasks efficiently. We show an example that we found efficient combination from a situation in which five elders and five helpers are given several parameters. By using our proposed method, a business manager for home-care can deliver appropriate services in both city and rural town.

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

Buying options

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 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Yamaguchi, T., Ito, T., Shintani, T.: Implementing a Nurse Scheduling System by Search Method Using Local Optima on VCSP. In: The 22nd Conference Proceedings of Japan Society for Software Science and Technology (2005)

    Google Scholar 

  2. Yamaguchi, T., Ozono, T., Ito, T., Shintani, T.: An Implementation of a Nurse Scheduling System with a Team Structure Using CSP. In: The 19th Annual Conference of Japanese Society for Artificial Intelligence (2005)

    Google Scholar 

  3. Kanoh, H.: Approximate Alrorithm for Constraint Satisfaction Problems. Journal of JSAI, 359–365 (1997)

    Google Scholar 

  4. Nishihara, S.: Fundamentals and Perspectives od Constraint Satisfaction Problems. Journal of JSAI, 351–358 (1997)

    Google Scholar 

  5. Fujita, K., Ito, T., Hattori, H., Klein, M.: An Approach to Implementing A Threshold Adjusting Mechanism in Very Complex Negotiations: A Preliminary Result . The Proceedings of The 2nd International Conference on Knowledge, Information and Creativity Support Systems (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Ngoc Thanh Nguyen Radoslaw Katarzyniak

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Date, H., Matsuo, T. (2008). Effects of At-Home Nursing Service Scheduling in Multiagent Systems. In: Nguyen, N.T., Katarzyniak, R. (eds) New Challenges in Applied Intelligence Technologies. Studies in Computational Intelligence, vol 134. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79355-7_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-79355-7_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79354-0

  • Online ISBN: 978-3-540-79355-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics