Affiliation:
1. Silesian University of Technology
Abstract
This paper describes the expert system created to support development of Manufacturing Information Acquisition System (MIAS) for any company, regardless of companys technological processes characteristics. Proper acquisition of data describing the state of the production processes is crucial in the management of a company, because real-time information is a base for decision making and achieving operational excellence. Information on the state of production system have to be automatically acquired from various sources, pre-processed and made available for higher-layers IT systems (MES, ERP). One of the stages of development of MIAS is the synthesis of technical and organizational solutions responsible for the acquisition of various types of data. In order to support designers an expert system MIAS Advisor has been developed, supporting the choice of methods and technical means for the acquisition of data on various aspects of the operation of a company. The algorithm of the expert system operation, which allows easy updating of a set of rules of the system has been presented.
Publisher
Trans Tech Publications, Ltd.
Reference17 articles.
1. G. Ćwikła: Methods of manufacturing data acquisition for production management – a review. Advanced Materials Research, Vol. 837 (2014), pp.618-623.
2. M. Jurczyk-Bunkowska: The role of planning in innovation success: experience of leading Polish enterprises. Proceedings of the 7th European Conference on Innovation and Entrepreneurship, vols. 1 and 2 (2012), pp.349-357.
3. I. Paprocka, B. Skołud: Robust scheduling, a production scheduling model of failures, Applied Mechanics and Materials Vol. 307 (2013), pp.443-446.
4. C. Grabowik, D. Krenczyk, K. Kalinowski: The Hybrid Method of Knowledge Representation in a CAPP Knowledge Based System. Hybrid Artificial Intelligent Systems, Lecture Notes in Computer Science, Vol. 7209 (2012), pp.284-295.
5. P. Chwastyk, M. Kolosowski: Features method for CAD/CAM system integration with estimation of cost production. Annals of DAAAM for 2009 & Proceedings of the 20th international DAAAM symposium, vol. 20 (2009), pp.1005-1006.
Cited by
11 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Predicting Car Sale Time with Data Analytics and Machine Learning;Product Lifecycle Management. PLM in Transition Times: The Place of Humans and Transformative Technologies;2023
2. Artificial intelligence in product lifecycle management;The International Journal of Advanced Manufacturing Technology;2021-03-22
3. Analysis of the possibility of SysML and BPMN application in formal data acquisition system description;IOP Conference Series: Materials Science and Engineering;2017-08
4. Agent-based models in robotized manufacturing cells designing;IOP Conference Series: Materials Science and Engineering;2015-11-03
5. Determination of the robot location in a workcell of a flexible production line;IOP Conference Series: Materials Science and Engineering;2015-11-03