Development of Lean Hybrid Furniture Production Control System based on Glenday Sieve, Artificial Neural Networks and Simulation Modeling

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 fi eld of furniture manufacturing management are presented. Further, an analysis of the technological process in a furniture company is performed and the research questions are identifi ed. Based on this, the main aim of the research is provided-a concept of a new lean production control system based on Glenday sieve, artifi cial 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.

Stories Told by Publications about the Relationship between Industry 4.0 and Lean: Systematic Literature Review and Future Research Agenda

“…Until 2019 it is possible to observe an almost exponential growth in the number of articles published with topics that relate the concepts of lean and I4.0's, and it is in that year that the largest number is registered (19). Since the date of completion of the paper, the year 2020 has not yet ended, growth is also expected this year, in the sense of following an exponential curve.…”

“…The I4.0 paradigm is strongly techno-centric with cyber-physical systems (CPSs) [16], incorporating intelligent machines, storage systems, and production mechanisms with power to swap information autonomously, whilst promoting actions to adapt to mutable contexts [8,17,18]. Although material requirements planning (MRP) or enterprise resource planning (ERP) are almost a standard, to make companies more agile and flexible, more advanced solutions must be implemented [19]. Smart factories use CPS to link the physical world with the virtual one, creating a working network [20][21][22].…”

“…There are already some more concrete contributions from lean to I4.0. It is the case for Rosienkiewicz et al [19], whose contribution settles in the conception of a lean production control system that uses the Glenday Sieve lean tool ("states that a small percentage of procedures, processes, units or activities account for a large portion of sales, and includes a color-coding system for labelling processes by output volume" [19]) and I4.0 technologies, such as artificial neural networks (ANNs). The lean tool was used to establish which type of products were able to be predicted by ANNs.…”

Application of lean management tools in industry 4.0: a systematic review

“…The Glenday sieve is a methodology for identifying a high volume of the production process, which focuses on implementing process improvements DOI: 10.14807/ijmp.v12i9.1638 based on introducing color-coding or subtitles for the output volume in each part of the process. With this methodology, it is possible to identify small portions of the business that are responsible for a large part of sales (Rosienkiewicz et al, 2018).…”

Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System

“…However, the application of the hybrid machine learning models has been limited in this realm [11,24]. Considering the higher performance reported in using hybrid machine learning models in other control systems, e.g., [32][33][34][35], a research gap is apparent in the advancement of HVAC control systems.…”