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dc.contributor.authorMasud, Abu S.M.
dc.date.accessioned2014-03-10T18:27:32Z
dc.date.available2014-03-10T18:27:32Z
dc.date.issued1985
dc.identifier.citationAbu S.M. Masud, Forecasting plant labor productivity with a time series model, Computers & Industrial Engineering, Volume 9, Issue 1, 1985, Pages 73-81, ISSN 0360-8352, http://dx.doi.org/10.1016/0360-8352(85)90038-5.
dc.identifier.issn0360-8352
dc.identifier.urihttp://dx.doi.org/10.1016/0360-8352(85)90038-5
dc.identifier.urihttp://hdl.handle.net/10057/7108
dc.descriptionClick on the DOI link to access this article (may not be free)
dc.description.abstractPlant labor productivity index, defined as the ratio of the standard labor hours and actual labor hours, is an important factor in the determination of the future manpower needs at Cessna Aircraft Co. (Pawnee Division). In this paper, a time series model based on the Box-Jenkins modelling approach is developed. A greater accuracy in forecasting future labor productivity index has been achieved by using this model.
dc.language.isoen_US
dc.publisherElsevier Ltd.
dc.relation.ispartofseriesComputers & Industrial Engineering, v. 9, no. 1
dc.titleForecasting plant labor productivity with a time series model
dc.typeArticle
dc.rights.holderCopyright 1985, Elsevier


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