#4817. Optimisation of bottling process using “hard” total quality management elements

August 2026publication date
Proposal available till 28-05-2025
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Journal’s subject area:
Business, Management and Accounting (all);
Business and International Management;
Strategy and Management;
Decision Sciences (all);
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More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
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. 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. 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.
Keywords:
ANOVA; Optimisation; Orthogonal array; Parametric setting; Taguchi method

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