Abstract
As the industrial requirements change rapidly due to the drastic evolution of technology, the necessity of quickly investigating potential system alternatives towards a more efficient manufacturing system design arises more intensely than ever. Production system simulation has proven to be a powerful tool for designing and evaluating a manufacturing system due to its low cost, quick analysis, low risk and meaningful insight that it may provide, improving the understanding of the influence of each component. In this research work, the design and evaluation of a real manufacturing system using Discrete Event Simulation (DES), based on real data obtained from the copper industry is presented. The current production system is modelled, and the real production data are analyzed and connected. The impact identification of the individual parameters on the response of the system is accomplished towards the selection of the proper configurations for near-optimum outcome. Further to that, different simulation scenarios based on the Design of Experiments (DOE) are studied towards the optimization of the production, under predefined product analogies.
Highlights
Summarizing, this work discusses the simulation modelling of a copper tube production line utilizing actual industrial data with the purpose of identifying the contribution of the individual major factors
Due to the countless configurations of the system, the factor with the higher impact is crucial to be defined in order to reduce the simulation effort towards the selection of the optimal settings according to requirements set by the company
The Design of Experiments (DOE) methodology according to Taguchi presented and applied for perceiving qualitatively the magnitude of the most significant factors to the response of the system
Summary
Due to the rapid development of digital technologies, the manufacturing environment is changing rapidly. This rapid growth and adoption of emerging technology by manufacturing companies has created the so-called “Fourth. Living in the Industry 4.0 era, where competitiveness is the dominant factor in the modern market landscape, the constant evolution of manufacturing systems constitutes an indispensable procedure. This ceaseless progress requires the investigation of various technologies and techniques in order to respond to the volatile changes in the demands of the customers. Searching for the optimum alternative can be proved strenuous, time-consuming and costly, state-of-the-art Information and Communications
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