Skip to main content

Interactive Visualization in Planning and Scheduling

  • Chapter
  • First Online:
Knowledge Engineering Tools and Techniques for AI Planning
  • 787 Accesses

Abstract

Planning and scheduling are two closely related areas that deal with organizing activities to achieve a particular goal (planning) and allocating these activities to limited time and resources for execution (scheduling). However, regarding the tools supporting the planning and scheduling processes, these two areas are still far from each other. Progress in scheduling has been driven by industry and many techniques and tools to support the scheduling process have been designed. On the other hand, planning is still more an academic topic and, until recently, engineering support of the planning process has been limited. The focus of planning community was mainly on design of efficient planners, but this started to change in recent years and several tools supporting the planning process have been designed. This chapter focuses on interactive visualization of plans and schedules, that is, on the way how plans and schedules can be presented visually to users, and on tools that can work with these visualizations.

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 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
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. R. Barták, O. Čepek: Nested Precedence Networks with Alternatives: Recognition, Tractability, and Models. Proceedings of 13th International Conference on Artificial Intelligence: Methodology, Systems, and Applications (AIMSA), Varna, Bulgaria, pp. 235–246, 2008.

    Google Scholar 

  2. R. Barták, T. Skalický: A local approach to automated correction of violated precedence and resource constraints in manually altered schedules. Proceedings of Fourth Multidisciplinary International Scheduling Conference: Theory and Applications (MISTA), Dublin, Ireland, 2009, pp. 507–517, 2009.

    Google Scholar 

  3. R. Barták, C. Sheahan, A. Sheahan: MAK€ – A System for Modelling, Optimising, and Analyzing Production in Small and Medium Enterprises. Proceedings of 38th Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM), Špindlerův Mlýn, Czech Republic, pp. 600–611, 2012.

    Google Scholar 

  4. R. Barták, M. Jaška, L. Novák, V. Rovenský, T. Skalický, M. Cully, C. Sheahan, T.-T. Dang: FlowOpt: Bridging the Gap Between Optimization Technology and Manufacturing Planners. Proceedings of 20th European Conference on Artificial Intelligence (ECAI), Montpellier, France, pp. 1003–1004, 2012.

    Google Scholar 

  5. R. Barták, V. Rovenský: On verification of nested workflows with extra constraints: From theory to practice. Expert Systems with Applications, Elsevier, Vol. 41(3), pp. 904–918, 2014.

    Google Scholar 

  6. R. Barták, M. Vlk: Hierarchical Task Model for Resource Failure Recovery in Production Scheduling. Proceedings of 15th Mexican International Conference on Artificial Intelligence (MICAI), Cancún, Mexico, pp. 362–378, 2016.

    Google Scholar 

  7. P. Brucker: Scheduling algorithms (4. ed.). Springer 2004, pp. I-XII, 1–367.

    Google Scholar 

  8. R. Glinský, R. Barták: VisPlan – Interactive Visualisation and Verification of Plans. Proceedings of the ICAPS Workshop on Knowledge Engineering for Planning and Scheduling (KEPS), pp. 134–138, 2011.

    Google Scholar 

  9. R.M. Simpson, D.E. Kitchin, T.L. McCluskey: Planning Domain Definition using GIPO. The Knowledge Engineering Review 22(2): pp. 117–134, 2007.

    Google Scholar 

  10. T. S. Vaquero, J.R. Silva, J.C. Beck: Analyzing Plans and Planners in itSIMPLE3.1. Proceeding of the ICAPS Workshop on Knowledge Engineering for Planning and Scheduling (KEPS). Toronto. Canada, pp. 45–52, 2010.

    Google Scholar 

  11. O. Hatzi, D. Vrakas, N. Bassiliades, D. Anagnostopoulos, I. Vlahavas. VLEPPO system, A Visual Programming System for Automated Problem Solving, Expert Systems with Applications, Elsevier, Vol. 37 (6), pp. 4611–4625, 2010.

    Google Scholar 

Download references

Acknowledgments

Roman Barták is supported by the Czech Science Foundation under the project 18-07252S.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Roman Barták .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Barták, R. (2020). Interactive Visualization in Planning and Scheduling. In: Vallati, M., Kitchin, D. (eds) Knowledge Engineering Tools and Techniques for AI Planning. Springer, Cham. https://doi.org/10.1007/978-3-030-38561-3_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-38561-3_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38560-6

  • Online ISBN: 978-3-030-38561-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics