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dc.contributor.authorMoustapha Mahamat Moussa Adam-
dc.date.accessioned2021-02-23T04:38:45Z-
dc.date.available2021-02-23T04:38:45Z-
dc.date.issued2016-05-
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/69805-
dc.descriptionAccess is limited to UniMAP community.en_US
dc.description.abstractManufacturing organizations are under pressure to improve productivity and reduce costs through the realization of lean culture. This paper approaches lean culture and aims to identify and measure the closely related parameters of lean culture and also examines the weight of their contribution to overall lean culture. The methodology approach is a questionnaire survey study was performed in Advanced Composites Manufacturing industries to collect data. The reliability of the survey instrument was pre-tested and an acceptable value of Cronbach’s alpha (a reliability coefficient) was found. The relative weight of various parameters using analytical hierarchy process (AHP). Pearson’s coefficient of correlation analysis was used to measure the strength of the relationships between various parameters of lean culture. The study findings are ‘‘engagement’’ to be the most important parameter of lean culture, followed by ‘‘process centric’’. The survey shows that most of the respondents are having weak knowledge towards the realization of lean culture. Research limitations are; sample size (n = 29). Practical implications of the present study provides guidelines to assess the status of lean culture in the manufacturing industries. According to conclusions, weak areas in the manufacturing system can be identified and a suitable course of action might be planned for the improvement. In this work, the theoretical perspective was used not only to update the original instrument, but also to study the subject from a perspective beyond that usually associated with lean culture.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subjectLean cultureen_US
dc.subjectLeanen_US
dc.titleLean assessment in manufacturing industryen_US
dc.typeLearning Objecten_US
dc.contributor.advisorRosmaini, Ahmad, Dr.-
Appears in Collections:School of Manufacturing Engineering (FYP)

Files in This Item:
File Description SizeFormat 
Abstract,Acknowledgement.pdf230.63 kBAdobe PDFView/Open
Introduction.pdf337.41 kBAdobe PDFView/Open
Literature Review.pdf602.95 kBAdobe PDFView/Open
Methodology.pdf553.25 kBAdobe PDFView/Open
Results and Discussion.pdf355.79 kBAdobe PDFView/Open
Conclusion and Recommendation.pdf240.44 kBAdobe PDFView/Open
Refference and Appendics.pdf1.75 MBAdobe PDFView/Open


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