Drvna industrija, Vol. 69 No. 2, 2018.
Original scientific paper
https://doi.org/10.5552/drind.2018.1747
Development of Lean Hybrid Furniture Production Control System based on Glenday Sieve, Artificial Neural Networks and Simulation Modeling
Maria Rosienkiewicz
; Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland
Arkadiusz Kowalski
; Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland
Joanna Helman
; Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland
Marcin Zbieć
; Faculty of Wood Technology, Warsaw University of Life Sciences,Warsaw, Poland
Abstract
In the paper, by way of background, the role of Polish furniture industry in the world and in Europe is discussed and current trends in the field of furniture manufacturing management are presented. Further, an analysis of the technological process in a furniture company is performed and the research questions are identified. Based on this, the main aim of the research is provided – a concept of a new lean production control system based on Glenday sieve, artificial neural networks and simulation modeling. The aim of the present approach is to plan and execute the production program effectively and maximize the use of workstations at variable and hardly predictable demand for sets of furniture. The paper presents the methodological approach, results and discussion on the suggested solution.
Keywords
production planning system; Glenday sieve; artificial neural networks; simulation modeling; furniture industry, industry 4.0
Hrčak ID:
202899
URI
Publication date:
3.7.2018.
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