DATA COLLECTION STRATEGIES IN MANUFACTURING OPERATIONS

Abstract Effective production management relies heavily on comprehensive knowledge of the state of the production system. While many modern companies implement ERP (Enterprise Resource Planning) systems to manage business operations, a critical gap often exists between the business and manufacturing layers. Bridging this gap necessitates the direct acquisition of data from the production environment, followed by its analysis and presentation in a user-friendly format. Different manufacturing systems, due to the diversity of equipment and conditions, require tailored approaches for data collection, which is largely influenced by the level of automation within the system. This paper presents a comparative analysis of methods used for data acquisition in both automated and non-automated manufacturing systems. It explores the role of automation equipment—such as sensors, actuators, PLCs, DCS, CNC, HMI, and SCADA systems and automatic identification technologies like barcodes, RFID, and vision systems. Additionally, communication solutions such as fieldbus, wired and wireless networks, alongside information exchange standards like OPC and MTC, are discussed. The integration of these technologies is critical for enhancing real-time monitoring, decision-making accuracy, and overall production efficiency.