Product variety in manufacturing has increased significantly, driven by technological advancements and growing demand for customisation. To meet diverse customer preferences, companies often overextend their portfolios without fully considering the resulting impact on manufacturing effectiveness. This study investigates how product variety is associated with quality conformance in continuous process manufacturing, an area underexplored in the existing literature, which predominantly focuses on discrete or assembly- based operations. Utilising production data from a large chemical manufacturer, logistic regression analysis was applied to examine how variety-related engineering parameters relate to the probability of non-conformance at the big-bag level. The analysis shows that ramp-ups, especially those associated with major changeovers, and short production uptimes are correlated with an increased likelihood of quality issues. Very infrequent production also appears to increase quality risks. Contrary to learning-curve expectations, products with medium and low production intensity showed lower odds of non-conformance than high-intensity products. These findings indicate the implications of product variety in continuous manufacturing environments. By identifying variety parameters that appear to contribute to quality risks, this study offers initial guidance for production planners and product portfolio managers aiming to balance product variety with quality conformance and overall manufacturing effectiveness.

The Impact of Product Variety on Quality Conformance in Continuous Process Manufacturing: A Quantitative Investigation in a Chemical Industry Context.

Cipriano Forza;
2025

Abstract

Product variety in manufacturing has increased significantly, driven by technological advancements and growing demand for customisation. To meet diverse customer preferences, companies often overextend their portfolios without fully considering the resulting impact on manufacturing effectiveness. This study investigates how product variety is associated with quality conformance in continuous process manufacturing, an area underexplored in the existing literature, which predominantly focuses on discrete or assembly- based operations. Utilising production data from a large chemical manufacturer, logistic regression analysis was applied to examine how variety-related engineering parameters relate to the probability of non-conformance at the big-bag level. The analysis shows that ramp-ups, especially those associated with major changeovers, and short production uptimes are correlated with an increased likelihood of quality issues. Very infrequent production also appears to increase quality risks. Contrary to learning-curve expectations, products with medium and low production intensity showed lower odds of non-conformance than high-intensity products. These findings indicate the implications of product variety in continuous manufacturing environments. By identifying variety parameters that appear to contribute to quality risks, this study offers initial guidance for production planners and product portfolio managers aiming to balance product variety with quality conformance and overall manufacturing effectiveness.
2025
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3565687
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