Please use this identifier to cite or link to this item: http://repository.unizik.edu.ng/handle/123456789/1334
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dc.contributor.authorUjam, Chinedu James-
dc.contributor.authorGodwin, Harold Chukwuemeka-
dc.date.accessioned2026-09-04T09:36:53Z-
dc.date.available2026-09-04T09:36:53Z-
dc.date.issued2018-
dc.identifier.citationJournal of Engineering and Applied Sciences 13, 92-98.en_US
dc.identifier.issn1119-8109-
dc.identifier.urihtpps://link.springeropen.com-
dc.identifier.urihttp://repository.unizik.edu.ng/handle/123456789/1334-
dc.descriptionScholarly worken_US
dc.description.abstractThe Introduction of new product brands into the Nigerian market as a strategy to attract new customers has had breweries’ struggling to meet product demands with the available capacity. In order to increase production output and satisfy customers, operational efficiency is a topmost priority. Production analysis reveals that the brewery is underutilizing her available production capacity due to high machine breakdown, external and planned downtimes coupled with huge amount of waste generation within the system. These led to a comprehensive analysis of production problems of line 1 for 13 weeks, with the application of Correlation Analysis, Pareto Analysis, quality Analysis and Toyota’s problem solving framework. The result of correlation analysis of running time against production volume was 0.8, which is a positive trend and an indication of worthiness of production volume positive relationship with running time, hence the need to reduce downtime to increase running time. The result of Pareto Analysis shows that the External downtime was 46% of total downtime, while Empty Bottle Inspector (EBI) and Washer were 12% and 10% respectively. The Un-packer has the lowest downtime of 2%. In Quality Analysis, quality of raw material input affect machine operation and increase waste generation. In Filler, when bad crowner hooked at the rectifier, production automatically stopped, delay of 2 minutes will result in high reject of filled bottles to avoid foreign gas introduction to the beer. Stoppage at Filler and Labeler mostly affect production flow. 50% of total wastes were generated at the Filler and Washer while Labeler recorded high reworks and rejects.en_US
dc.language.isoenen_US
dc.publisherJournal of Engineering and Applied Sciences.en_US
dc.subjectLean and quality Managementen_US
dc.subjectVariation and Waste Assessmenten_US
dc.subjectSupplier’s Selection Criteriaen_US
dc.subjectToyota Production System performance.en_US
dc.titleApplication of Lean and Quality Management in AB Breweryen_US
dc.typeArticleen_US
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