Chapter One — 1.1 Background to the Study

Organizations that depend on enterprise resource planning (ERP) systems are under increasing pressure to modernize, and Digital Twin Technology has emerged as one of the more promising avenues for doing so, given its demonstrated impact in related domains.

In practice, however, adoption of digital twin technology within enterprise resource planning (ERP) systems has been uneven, and its actual impact on predictive maintenance is not yet well understood in a rigorous, evaluable way — a gap this study is positioned to address.

1.2 Statement of the Problem

Existing approaches to predictive maintenance within enterprise resource planning (ERP) systems remain largely reactive and fragmented, with little systematic use of digital twin technology despite its demonstrated value elsewhere. This study addresses the resulting gap by designing and evaluating a solution built specifically around digital twin technology.

1.3 Objectives of the Study

1. To design and implement a digital twin technology-based approach to improving predictive maintenance in enterprise resource planning (ERP) systems.
2. To evaluate the effectiveness of Digital Twin Technology in enhancing predictive maintenance within enterprise resource planning (ERP) systems.
3. To identify the key requirements and constraints relevant to deploying digital twin technology in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can digital twin technology be applied to improve predictive maintenance in enterprise resource planning (ERP) systems?
2. How effective is Digital Twin Technology at enhancing predictive maintenance within enterprise resource planning (ERP) systems?
3. What requirements and constraints are relevant to deploying digital twin technology in this context?
4. How do users and stakeholders perceive the resulting system?

1.5 Significance of the Study

This study is significant to software developers and system architects seeking practical guidance on applying Digital Twin Technology within enterprise resource planning (ERP) systems. It is equally relevant to organizations that rely on these systems, offering a reference point for evaluating whether such an investment is justified, and it adds to the growing body of work on digital twin technology applications in software technology / IT.

1.6 Scope of the Study

The study is limited to the design, implementation, and evaluation of a digital twin technology-based approach to improving predictive maintenance within enterprise resource planning (ERP) systems. Reflecting its clearly defined scope, it does not extend to a full commercial rollout or long-term post-implementation review beyond the study period.