Semi-Automated Data Acquisition for Management of the Company in Non-Automated Production System – Case Study

Abstract:

This paper presents case study of data acquisition in non-automated discrete production system. The issue of acquisition of data from the production system in order to support company management is essential for the integration of business and manufacturing areas of the company. Properly organized data acquisition system, consisting of hardware, software and organizational solutions, should provide access to real-time data on production tasks, flow of materials and work in progress, usage and effectiveness of workers and equipment, and the quality of production. Availability of data depends on type of production system, more precisely on the level of automation of technological processes. The Manufacturing Information Acquisition System (MIAS) methodology has been used in order to support design of the data acquisition system for the company producing large tanks, in which there is no automated equipment and most of production operations are realised manually. The algorithm of acquiring data from workers, organisational solutions and data processing in developed “Mistrz” IT system has been described, as well as problems with MIAS encountered during system operation in early stages of introduction.

• Periodical: Applied Mechanics and Materials (Volumes 809-810)
• Pages: 1510-1515
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.809-810.1510
• Online since: November 2015
• Authors: Grzegorz Ćwikła*, Cezary Grabowik, Krzysztof Kalinowski, Witold Janik
• Keywords: Automatic Identification, Barcodes, Data Acquisition, Manufacturing Information Acquisition System (MIAS), MES, Production Management, RFID

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