On-the-Fly Scheduling as a Manifestation of Partial-Order Planning and Dynamic Task Values

The aim of this study was to develop a computational account of the spontaneous task ordering that occurs within jobs as work unfolds (“on-the-fly task scheduling”). Air traffic control is an example of work in which operators have to schedule their tasks as a partially predictable work flow emerges. To date, little attention has been paid to such on-the-fly scheduling situations. The authors present a series of discrete-event models fit to conflict resolution decision data collected from experienced controllers operating in a high-fidelity simulation. The authors simulations reveal air traffic controllers’ scheduling decisions as examples of the partial-order planning approach of Hayes-Roth and Hayes-Roth. The most successful model uses opportunistic first-come-first-served scheduling to select tasks from a queue. Tasks with short deadlines are executed immediately. Tasks with long deadlines are evaluated to assess whether they need to be executed immediately or deferred. On-the-fly task scheduling is computationally tractable despite its surface complexity and understandable as an example of both the partial-order planning strategy and the dynamic-value approach to prioritization.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 1093-1112
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01536285
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Aug 14 2014 12:08PM