Please use this identifier to cite or link to this item: http://repository.unizik.edu.ng/handle/123456789/1334
Title: Application of Lean and Quality Management in AB Brewery
Authors: Ujam, Chinedu James
Godwin, Harold Chukwuemeka
Keywords: Lean and quality Management
Variation and Waste Assessment
Supplier’s Selection Criteria
Toyota Production System performance.
Issue Date: 2018
Publisher: Journal of Engineering and Applied Sciences.
Citation: Journal of Engineering and Applied Sciences 13, 92-98.
Abstract: The 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.
Description: Scholarly work
URI: htpps://link.springeropen.com
http://repository.unizik.edu.ng/handle/123456789/1334
ISSN: 1119-8109
Appears in Collections:Scholarly Works

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