Knowledge about the state of the production system is necessary for proper management of a company. A modern company typically uses an ERP (Enterprise Resources Planning) system for management support, but still there is usually a gap between business and manufacturing layers of a company. There is a need to provide solutions allowing data acquisition directly from the production system, analyse this data and display it in a convenient form. Each type of production systems require a different approach to collect data because of variety of objects and conditions. The ability of production data acquisition mostly depends on the level of automation. This paper presents a comparison of methods of data acquisition from different types of manufacturing systems. Methods of data acquisition, from both automated and non-automated manufacturing systems, are described. Automation equipment resources (sensors, actuators, PLC, DCS, CNC, HMI, SCADA) and automatic identification systems (barcodes, RFID, vision systems etc.), as well as communication solutions (fieldbus, wired and wireless networks) and information exchange standards (OPC, MTConnect) are discussed.

MATEC Web of Conferences, open access proceedings in Materials science, Engineering and Chemistry

The acquisition of data on the state of the production process is essential in the management of a company. The ERP system, as well as company management, should be continuously supplied with up-to-date information about the state of the production system, but in many cases there is a gap between the business and manufacturing layers of a company. Data on the state of production orders, machines, materials and human resources have to be automatically acquired, transmitted, archived, pre-processed and converted to a form compatible with business layer systems. There is a need for the development of methodology, describing methods of data acquisition and pre-processing directly from the shop floor. The methodology should be universal, covering the needs of different types of technological processes (discrete, continuous, batch), branches of industry and levels of production automation, etc. This paper presents the methodology of the development of Manufacturing Information Acquisition System (MIAS) covering needs for automated data acquisition, archiving and pre-processing systems, able to provide on-line production processes information for various clients. MIAS can be used as a link between data sources, MES/ERP systems and company management. Furthermore, it can be used as a stand-alone management information tool.

Imperfections in the form of losses and delays in production are visible especially in SME dedicated for MTO. Improving the operation of systems at the stage of product design and production organization and management becomes great challenge. The paper proposes new, holonic-based approach to manufacturing systems integration. In this context authors presents results of their achievements in the area of technical and organizational production preparation, and production running. Proposed SME’s functional modules (that behave like holons) are generally independent. The concept of the systems integration depending on continuously occurring requirements and conditions involving the creation of a process plan, preparation of schedules and the data acquired from production system is proposed in the paper. As a result of implementation of the presented integration method increases the effectiveness in the integrated areas of decision-making, and moreover, the manufacturing abilities of SME companies.