Optimisation of bottling process using “hard” total quality management elements
ISSN: 1754-2731
Article publication date: 4 September 2020
Issue publication date: 9 February 2021
Abstract
Purpose
There is growing evidence of a knowledge gap in the association of maintenance with production activities in bottling plants. Indeed, insights into how to jointly optimise these activities are not clear. In this paper, two optimisation models, Taguchi schemes and response surface methodology are proposed.
Design/methodology/approach
Borrowing from the “hard” total quality management elements in optimisation and prioritisation literature, two new models were developed based on factor, level and orthogonal array selection, signal-to-noise ratio, analysis of variance and optimal parametric settings as Taguchi–ABC and Taguchi–Pareto. An additional model of response surface methodology was created with analysis on regression, main effects, residual plots and surface plots.
Findings
The Taguchi S/N ratio table ranked planned maintenance as the highest. The Taguchi–Pareto shows the optimal parametric setting as A4B4C1 (28 h of production, 30.56 shifts and 37 h of planned maintenance). Taguchi ABC reveals that the planned maintenance and number of shifts will influence the outcome of production greatly. The surface regression table reveals that the production hours worked decrease at a value of planned maintenance with a decrease in the number of shifts.
Originality/value
This is the first time that joint optimisation for bottling plant will be approached using Taguchi–ABC and Taguchi–Pareto. It is also the first time that response surface will be applied to optimise a unique platform of the bottling process plant.
Keywords
Acknowledgements
The assistance received from Mr. Stephen Chidera Nwafor is appreciated.
Citation
Oji, B.C. and Oke, S.A. (2021), "Optimisation of bottling process using “hard” total quality management elements", The TQM Journal, Vol. 33 No. 2, pp. 473-502. https://doi.org/10.1108/TQM-03-2020-0057
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited