View in EDS HTML Full Text PDF Full Text

Case Studies: Definitive Screening Applied to a Simulation Study of the F100-229 Engine Repair Network.

Saved in:
Bibliographic Details
Title: Case Studies: Definitive Screening Applied to a Simulation Study of the F100-229 Engine Repair Network.
Authors: Hill, Raymond R.1 (AUTHOR) raymond.hill@afit.edu, Gutman, Alex J.2 (AUTHOR), Moulder, Roger D.3 (AUTHOR), Stafford, Tom D.3 (AUTHOR), Bush, Kelly R.3 (AUTHOR)
Source: Quality Engineering. Oct-Dec2015, Vol. 27 Issue 4, p424-436. 13p.
Subjects: United States. Air Force, Fighter planes, Military airplanes, Parsimonious models, Airplane motors
Abstract: Problem:An adequate supply of F100-229 engines, which power the F-15Eagleand late-model F-16 fighter jets, is vital to meet the operational demands of the Air Force. This supply is necessarily limited by government and inventory cost considerations. New requirement calculations indicate a pending shortage of available engines. At current supply levels, aircraft availability can be improved by reducing turnaround times across the F100-229 repair network. However, identifying slowdowns and bottlenecks in the repair network is a complex problem. To investigate process improvement opportunities, program managers desire parsimonious metamodels of the significant factors in the repair network. Approach:This article describes a statistical engineering approach to create metamodels of simulations for each Air Force base in an engine repair network that can be queried, as needed, to make managerial decisions. Headquarters Air Force Materiel Command Studies and Analyses Division (HQ AFMC/A9A), hereafter referred to as AFMC, described and captured the problem with a discrete-event simulation of the repair network built using real-world data. AFMC then applied design of experiments to identify those factors in the engine repair network that are driving the balance of available engines while staying within computational budget requirements for the project and then built statistical metamodels of the simulation. Results:The simulation model was verified and validated using actual data. The customer desired quick feedback on the model, resulting in a search for efficient designs to explore the simulation. After examining different experimental designs, we found that definitive screening designs provided the best combination of run-size efficiency and protection from model misspecification. The simulation data were used to create metamodels of the repair network, which were programmed into a spreadsheet-based decision support tool. The tool gives logistics engine managers the ability to make quick-turn decisions. Results from one of six bases of interest are reported. [ABSTRACT FROM PUBLISHER]
Copyright of Quality Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 109475737
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Case Studies: Definitive Screening Applied to a Simulation Study of the F100-229 Engine Repair Network.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Hill%2C+Raymond+R%2E%22">Hill, Raymond R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> raymond.hill@afit.edu</i><br /><searchLink fieldCode="AR" term="%22Gutman%2C+Alex+J%2E%22">Gutman, Alex J.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moulder%2C+Roger+D%2E%22">Moulder, Roger D.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stafford%2C+Tom+D%2E%22">Stafford, Tom D.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bush%2C+Kelly+R%2E%22">Bush, Kelly R.</searchLink><relatesTo>3</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Quality+Engineering%22">Quality Engineering</searchLink>. Oct-Dec2015, Vol. 27 Issue 4, p424-436. 13p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22United+States%2E+Air+Force%22">United States. Air Force</searchLink><br /><searchLink fieldCode="DE" term="%22Fighter+planes%22">Fighter planes</searchLink><br /><searchLink fieldCode="DE" term="%22Military+airplanes%22">Military airplanes</searchLink><br /><searchLink fieldCode="DE" term="%22Parsimonious+models%22">Parsimonious models</searchLink><br /><searchLink fieldCode="DE" term="%22Airplane+motors%22">Airplane motors</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Problem:An adequate supply of F100-229 engines, which power the F-15Eagleand late-model F-16 fighter jets, is vital to meet the operational demands of the Air Force. This supply is necessarily limited by government and inventory cost considerations. New requirement calculations indicate a pending shortage of available engines. At current supply levels, aircraft availability can be improved by reducing turnaround times across the F100-229 repair network. However, identifying slowdowns and bottlenecks in the repair network is a complex problem. To investigate process improvement opportunities, program managers desire parsimonious metamodels of the significant factors in the repair network. Approach:This article describes a statistical engineering approach to create metamodels of simulations for each Air Force base in an engine repair network that can be queried, as needed, to make managerial decisions. Headquarters Air Force Materiel Command Studies and Analyses Division (HQ AFMC/A9A), hereafter referred to as AFMC, described and captured the problem with a discrete-event simulation of the repair network built using real-world data. AFMC then applied design of experiments to identify those factors in the engine repair network that are driving the balance of available engines while staying within computational budget requirements for the project and then built statistical metamodels of the simulation. Results:The simulation model was verified and validated using actual data. The customer desired quick feedback on the model, resulting in a search for efficient designs to explore the simulation. After examining different experimental designs, we found that definitive screening designs provided the best combination of run-size efficiency and protection from model misspecification. The simulation data were used to create metamodels of the repair network, which were programmed into a spreadsheet-based decision support tool. The tool gives logistics engine managers the ability to make quick-turn decisions. Results from one of six bases of interest are reported. [ABSTRACT FROM PUBLISHER]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Quality Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=109475737
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/08982112.2015.1023315
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 424
    Subjects:
      – SubjectFull: United States. Air Force
        Type: general
      – SubjectFull: Fighter planes
        Type: general
      – SubjectFull: Military airplanes
        Type: general
      – SubjectFull: Parsimonious models
        Type: general
      – SubjectFull: Airplane motors
        Type: general
    Titles:
      – TitleFull: Case Studies: Definitive Screening Applied to a Simulation Study of the F100-229 Engine Repair Network.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Hill, Raymond R.
      – PersonEntity:
          Name:
            NameFull: Gutman, Alex J.
      – PersonEntity:
          Name:
            NameFull: Moulder, Roger D.
      – PersonEntity:
          Name:
            NameFull: Stafford, Tom D.
      – PersonEntity:
          Name:
            NameFull: Bush, Kelly R.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct-Dec2015
              Type: published
              Y: 2015
          Identifiers:
            – Type: issn-print
              Value: 08982112
          Numbering:
            – Type: volume
              Value: 27
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Quality Engineering
              Type: main
ResultId 1