Reduction of variation and control parameters optimising in a cement-bags company

Abdelrahman S. Shehata, Mahmoud Heshmat and Mahmoud A. El-Sharief

International Journal of Process Management and Benchmarking, 2022, vol. 12, issue 3, 321-347

Abstract: This paper introduces a case study methodology to decrease variability in quality measures and optimise control parameters in a cement-bags company. A lack of supervision is observed in the company which gives a negative impact on quality by increasing the number of defective bags with time without taking any action. The statistical process control (SPC) techniques, process capability measures, and analysis of variance (ANOVA) are used to reduce the high variability in production and the defective bag ratio. Moreover, an approach is developed to find and eliminate the resulted causes of variation in the production process. Multiple linear regression analysis is conducted for each variable characteristic to determine the best working conditions by which the production process improves.

Keywords: statistical process control; SPC; variation reduction; cement bag; production; regression; analysis of variance; ANOVA; process capability; control parameters; quality control. (search for similar items in EconPapers)
Date: 2022
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