Process-Specific Adoption of Predictive Maintenance: A Qualitative Comparative Analysis in Manufacturing

Abstract

Predictive maintenance systems offer manufacturing enterprises opportunities to reduce costs and maximize productivity through data-driven insights into equipment failures. This study analyzes the adoption of predictive maintenance across six equipment assembly processes through an in-depth, multi-case methodology. Semi-structured interviews with maintenance managers elucidated nuances across processes contingent on vendor ownership models, facility lifecycles, and technical intricacy. Although processes evidenced expansions in predictive oversight through amplified data flows, persistent constraints arose regarding component lifespans, data limitations, and developing capable talent. Proactive management was partial rather than comprehensive. Strategic integration of robust failure mode analytics upgraded monitoring infrastructure, and bolstered personnel competencies will actualize the potential of predictive maintenance.