A SIMULATED STUDY OF CONVEYOR-SERVICED PRODUCTION STATIONS.

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Bibliographic Details
Title: A SIMULATED STUDY OF CONVEYOR-SERVICED PRODUCTION STATIONS.
Authors: Crisp Jr., Robert M.1, Skeith, Ronald W.1, Barnes, J. Wesley1
Source: International Journal of Production Research. Jun69, Vol. 7 Issue 4, p301. 9p. 2 Diagrams, 2 Charts.
Subjects: Conveying machinery, Bernoulli hypothesis (Risk), Materials handling, Binomial distribution, Binomial theorem, Distribution (Probability theory), Mechanical engineering
Abstract: It has been assumed in recent research that the distribution of units on conveyors is a stationary Bernoulli distribution. This paper presents a technique which is used to test the validity of this assumption.
The system was simulated using the GPSS III language. A statistical run test is used to test the Bernoulli assumption. From the results of this study, the general assumption that the distribution of units on the conveyor is stationary Bernoulli cannot be supported. SUMMARY. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research 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
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Header DbId: egs
DbLabel: Engineering Source
An: 5552519
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A SIMULATED STUDY OF CONVEYOR-SERVICED PRODUCTION STATIONS.
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  Data: <searchLink fieldCode="AR" term="%22Crisp+Jr%2E%2C+Robert+M%2E%22">Crisp Jr., Robert M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Skeith%2C+Ronald+W%2E%22">Skeith, Ronald W.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Barnes%2C+J%2E+Wesley%22">Barnes, J. Wesley</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Jun69, Vol. 7 Issue 4, p301. 9p. 2 Diagrams, 2 Charts.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Conveying+machinery%22">Conveying machinery</searchLink><br /><searchLink fieldCode="DE" term="%22Bernoulli+hypothesis+%28Risk%29%22">Bernoulli hypothesis (Risk)</searchLink><br /><searchLink fieldCode="DE" term="%22Materials+handling%22">Materials handling</searchLink><br /><searchLink fieldCode="DE" term="%22Binomial+distribution%22">Binomial distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Binomial+theorem%22">Binomial theorem</searchLink><br /><searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+engineering%22">Mechanical engineering</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: It has been assumed in recent research that the distribution of units on conveyors is a stationary Bernoulli distribution. This paper presents a technique which is used to test the validity of this assumption. <BR> The system was simulated using the GPSS III language. A statistical run test is used to test the Bernoulli assumption. From the results of this study, the general assumption that the distribution of units on the conveyor is stationary Bernoulli cannot be supported. SUMMARY. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Production Research 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.)
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 301
    Subjects:
      – SubjectFull: Conveying machinery
        Type: general
      – SubjectFull: Bernoulli hypothesis (Risk)
        Type: general
      – SubjectFull: Materials handling
        Type: general
      – SubjectFull: Binomial distribution
        Type: general
      – SubjectFull: Binomial theorem
        Type: general
      – SubjectFull: Distribution (Probability theory)
        Type: general
      – SubjectFull: Mechanical engineering
        Type: general
    Titles:
      – TitleFull: A SIMULATED STUDY OF CONVEYOR-SERVICED PRODUCTION STATIONS.
        Type: main
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          Name:
            NameFull: Crisp Jr., Robert M.
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            NameFull: Skeith, Ronald W.
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            NameFull: Barnes, J. Wesley
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          Dates:
            – D: 01
              M: 06
              Text: Jun69
              Type: published
              Y: 1969
          Identifiers:
            – Type: issn-print
              Value: 00207543
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            – Type: volume
              Value: 7
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: International Journal of Production Research
              Type: main
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