Integrating ERP, MES, and PLM for condition-based maintenance: a digital transformation framework for medical device manufacturing

This study presents a practical framework for digitalized asset management in a multinational medical device manufacturer transitioning toward continuous manufacturing. Using an exploratory case study supported by Weibull reliability modeling, we evaluate the shift from manual, schedule-based maintenance to condition-based, data-driven strategies. The proposed system integrates Enterprise Resource Planning (ERP), Manufacturing Execution Systems (MES), and Product Lifecycle Management (PLM) within an ISA-95–aligned architecture, enabling real-time monitoring, optimized maintenance scheduling, and improved resource allocation. Results show a 9.3% reduction in conditional failure probability and a cumulative production increase of over 600,000 parts within 450 days. In addition, the framework eliminates paper-based records, enhances cost transparency, and improves resource efficiency, contributing to both economic and environmental sustainability.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-09-17
DOI
https://doi.org/10.1057/s41599-026-09027-5
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrating ERP, MES, and PLM for condition-based maintenance: a digital transformation framework for medical device manufacturing

Meng-Hua Li, Netnapha Chamnisampan, Dearetta Putri Ramadhani
Humanities and Social Sciences Communications
Reliability and Maintenance Optimization
article

Integrating ERP, MES, and PLM for condition-based maintenance: a digital transformation framework for medical device manufacturing

Meng-Hua Li, Netnapha Chamnisampan, Dearetta Putri Ramadhani
article en

Abstract

This study presents a practical framework for digitalized asset management in a multinational medical device manufacturer transitioning toward continuous manufacturing. Using an exploratory case study supported by Weibull reliability modeling, we evaluate the shift from manual, schedule-based maintenance to condition-based, data-driven strategies. The proposed system integrates Enterprise Resource Planning (ERP), Manufacturing Execution Systems (MES), and Product Lifecycle Management (PLM) within an ISA-95–aligned architecture, enabling real-time monitoring, optimized maintenance scheduling, and improved resource allocation. Results show a 9.3% reduction in conditional failure probability and a cumulative production increase of over 600,000 parts within 450 days. In addition, the framework eliminates paper-based records, enhances cost transparency, and improves resource efficiency, contributing to both economic and environmental sustainability.

Humanities and Social Sciences Communications
National Formosa University (TW), National Chin-Yi University of Technology (TW)
National Science and Technology Council
Decent work and economic growth
Openalex Percentile: Top 12%
Reliability and Maintenance Optimization
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