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Productivity Improvement through Work Sampling.

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Bibliographic Details
Title: Productivity Improvement through Work Sampling.
Authors: Jenkins, James L.1 jljenkins@teeh.purdue.edu, Orth, Daryl L.1 dlorth@teeh.purdue.edu
Source: AACE International Transactions. 2003, preceding p1-1. 7p.
Subjects: Work sampling, Work measurement, Industrial productivity, Project management, Construction contracts, Construction industry
Abstract: This article focuses on productivity improvement through work sampling. Several jobsite factors have an effect on construction worker productivity such as weather conditions, work experience and skill of workers. There are many traditional models available to evaluate the effect of these factors on productivity. One such model is work sampling. This method not only provides information about the amount of time, workers spend performing productive work, it also helps identifying the site specific factors that have either a positive or adverse effect on productivity.
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 14698830
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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  Data: Productivity Improvement through Work Sampling.
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  Data: <searchLink fieldCode="AR" term="%22Jenkins%2C+James+L%2E%22">Jenkins, James L.</searchLink><relatesTo>1</relatesTo><i> jljenkins@teeh.purdue.edu</i><br /><searchLink fieldCode="AR" term="%22Orth%2C+Daryl+L%2E%22">Orth, Daryl L.</searchLink><relatesTo>1</relatesTo><i> dlorth@teeh.purdue.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22AACE+International+Transactions%22">AACE International Transactions</searchLink>. 2003, preceding p1-1. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Work+sampling%22">Work sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Work+measurement%22">Work measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+productivity%22">Industrial productivity</searchLink><br /><searchLink fieldCode="DE" term="%22Project+management%22">Project management</searchLink><br /><searchLink fieldCode="DE" term="%22Construction+contracts%22">Construction contracts</searchLink><br /><searchLink fieldCode="DE" term="%22Construction+industry%22">Construction industry</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: This article focuses on productivity improvement through work sampling. Several jobsite factors have an effect on construction worker productivity such as weather conditions, work experience and skill of workers. There are many traditional models available to evaluate the effect of these factors on productivity. One such model is work sampling. This method not only provides information about the amount of time, workers spend performing productive work, it also helps identifying the site specific factors that have either a positive or adverse effect on productivity.
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 1
    Subjects:
      – SubjectFull: Work sampling
        Type: general
      – SubjectFull: Work measurement
        Type: general
      – SubjectFull: Industrial productivity
        Type: general
      – SubjectFull: Project management
        Type: general
      – SubjectFull: Construction contracts
        Type: general
      – SubjectFull: Construction industry
        Type: general
    Titles:
      – TitleFull: Productivity Improvement through Work Sampling.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Jenkins, James L.
      – PersonEntity:
          Name:
            NameFull: Orth, Daryl L.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: 2003
              Type: published
              Y: 2003
          Identifiers:
            – Type: issn-print
              Value: 15287106
          Titles:
            – TitleFull: AACE International Transactions
              Type: main
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