Development of an Asset Performance Management Reference Framework for Distributed Industrial Machinery
Date
2024-12
Authors
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Publisher
Stellenbosch University
Abstract
Globalisation and technological advancements have led to increased complexity in the corporate environment, affecting various sectors. This study focuses on developing a reference framework for Asset Performance Management (APM) in the context of distributed industrial machinery. The aim is to enhance asset availability and reliability, address concerns regarding third-party trust, and optimise data administration for improved overall APM. To create and improve the APM reference framework, which comprises of an APM system and a related operational concept, the study employs the Design Science Research (DSR) approach. This involves in-depth literature reviews, expert interviews, and a conducted case study. The framework integrates various technological concepts, such as cloud and edge computing, AI, Asset Administration Shell, sensors, and blockchain to accommodate a range of industrial scenarios. The reference framework encompasses processes for data collection, storage, transmission, and decision-making. A case study with a major German research institute was conducted to evaluate and refine it. The framework provides a comprehensive and flexible solution for organisations to improve their asset management practices. It shows adaptability to a range of organisational needs and offers actionable recommendations for asset management, including improving decision-making, reducing downtime, and enhancing operational efficiency. This research addresses knowledge gaps in APM for distributed machinery and contributes to the fields of industrial engineering, asset management and data quality control. It provides a foundation for future research and industry standards, bridging a gap in the current understanding and application of APM for distributed industrial machinery.