An Architecture Framework for Supply Chain Management Systems Integrated with Supervisory Control and Data Acquisition Functionality

Abstract

Supply chains face pressing challenges like production delays that hamper responsiveness and revenue. While information system integration attempts enhancing visibility, the potential of industrial Supervisory Control and Data Acquisition (SCADA) merits exploration within modern supply chain architecture. This study proposes integrating SCADA technology to address delays in material supply and improve coordination across procurement, warehousing, and logistics activities. An architecture framework leveraging TOGAF methodology outlines integrating SCADA monitoring and control functionalities within supply chain databases and applications. By theoretically linking SCADA with inventory and production systems, the research conceptualizes an enhanced architecture that strengthens accountability, automates processes, and allows rapid response to disruptions. Quantitative evaluation is warranted to validate advantages, but archival analysis suggests this fusion bears promise in optimizing future supply chains.