An approach to optimize manufacturing productivity: A pilot study on labor intensive industries
A pilot study was conducted on labor intensive industries to measure the impact of intangible resource inputs on manufacturing productivity. Three intangible resource inputs, degree of skills of labor, favorable working environment, R & D knowledge, were used to measure the impact on productivit...
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my.uum.repo.40882016-04-25T03:32:06Z http://repo.uum.edu.my/4088/ An approach to optimize manufacturing productivity: A pilot study on labor intensive industries M. I., Shahidul S. T., Syed Shazali M.J.S., Hashimi TS Manufactures A pilot study was conducted on labor intensive industries to measure the impact of intangible resource inputs on manufacturing productivity. Three intangible resource inputs, degree of skills of labor, favorable working environment, R & D knowledge, were used to measure the impact on productivity. Firm’s data of business operations of sample manufacturing industries, have been used for analysis.Study showed, a positive but weak correlation (r<0.5) exists between the inputs of basic skills and productivity, a positive but moderate correlation(r>0.5) exists between inputs of upgraded working environment and productivity.A strong and positive correlation is found (r>0.7) between R & D based inputs and productivity. Additionally, the productivity gain ratio was found significantly good (rp >1.3) for R & D base inputs. Study concludes, expenditure on manufacturing R & D is essentially important to generate knowledge as higher value added input to have higher productivity. 2010-07 Conference or Workshop Item NonPeerReviewed application/pdf en http://repo.uum.edu.my/4088/1/Sha.pdf M. I., Shahidul and S. T., Syed Shazali and M.J.S., Hashimi (2010) An approach to optimize manufacturing productivity: A pilot study on labor intensive industries. In: 2nd International Conference on Technology and Operations Management (ICTOM), 5 - 7 July 2010 , Bayview Hotel, Langkawi. (Unpublished) http://cob.uum.edu.my/ictom |
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TS Manufactures M. I., Shahidul S. T., Syed Shazali M.J.S., Hashimi An approach to optimize manufacturing productivity: A pilot study on labor intensive industries |
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A pilot study was conducted on labor intensive industries to measure the impact of intangible resource inputs on manufacturing productivity. Three intangible resource inputs, degree of skills of labor, favorable working environment, R & D knowledge, were used to measure the impact on productivity. Firm’s data of business operations of sample manufacturing industries, have been used for analysis.Study showed, a positive but weak correlation (r<0.5) exists between the inputs of basic skills and productivity, a positive but moderate correlation(r>0.5) exists between inputs of upgraded working environment and
productivity.A strong and positive correlation is found (r>0.7) between R & D based inputs and productivity. Additionally, the productivity gain ratio was found significantly good (rp >1.3) for R & D base inputs. Study concludes, expenditure on manufacturing R & D is essentially important to generate knowledge as higher value added input to have higher productivity. |
format |
Conference or Workshop Item |
author |
M. I., Shahidul S. T., Syed Shazali M.J.S., Hashimi |
author_facet |
M. I., Shahidul S. T., Syed Shazali M.J.S., Hashimi |
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M. I., Shahidul |
title |
An approach to optimize manufacturing productivity: A pilot study on labor intensive industries |
title_short |
An approach to optimize manufacturing productivity: A pilot study on labor intensive industries |
title_full |
An approach to optimize manufacturing productivity: A pilot study on labor intensive industries |
title_fullStr |
An approach to optimize manufacturing productivity: A pilot study on labor intensive industries |
title_full_unstemmed |
An approach to optimize manufacturing productivity: A pilot study on labor intensive industries |
title_sort |
approach to optimize manufacturing productivity: a pilot study on labor intensive industries |
publishDate |
2010 |
url |
http://repo.uum.edu.my/4088/1/Sha.pdf http://repo.uum.edu.my/4088/ http://cob.uum.edu.my/ictom |
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1644278665509339136 |
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13.18916 |