The Developmental Test Scheduling Problem

Abstract

Developmental testing of aircraft systems in the United States Air Force requires a complex set of resources for each test. The optimal scheduling of those resources is the job of the 412th Test Wing at Edwards Air Force Base. With more than 20 different Combined Task Forces requesting resources for roughly 300 flying missions each week, manual scheduling is a difficult task. The current process takes a team of schedulers several days to get a workable result from which they can start tailoring the final schedule. While concepts and techniques can be taken from industry scheduling problems, the body of knowledge as it relates to developmental test scheduling is sparse. The contribution of this paper is to initially document the Developmental Test Scheduling Problem, define it in structured terms for which a solution methodology can be designed, and present an Integer Programming based solution. The design allows for a scheduler to tailor an initial answer to fit nuanced and timely objectives and constraints. For this prototype eort the problem is scoped to the "Iron" Resources while bearing in mind the extensibility of the approach to "Range" Resources. This study and prototype will demonstrate results that will create an initial schedule in several hours and serve as a good starting point for the final schedule.

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Document Details

Document Type
Technical Report
Publication Date
Mar 22, 2018
Accession Number
AD1056418

Entities

People

  • Joseph E Schoenbeck

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Cognitive Systems Engineering
  • Computer Programming
  • Data Analysis
  • Databases
  • Department Of Defense
  • Engineering
  • Governments
  • Integer Programming
  • Maintenance
  • Operations Research
  • Probability Distributions
  • Systems Engineering
  • Test And Evaluation
  • United States
  • United States Government

Readers

  • Aerospace logistics and air mobility.
  • Parallel and Distributed Computing.
  • Software Engineering