Abstract
ABSTRACT The purpose of this work is to implement an on-line control system able to adjust the production in real time applying a simulation model with algorithmic optimization and data transfer for a programmable logic controller. The Solver tool of the Excel software was integrated into a simulation software used to find the optimal dosing of input aggregates in a Hot Mix Asphalt process. Tests were carried out in different scenarios; the results demonstrated that the proposed control was effective, leading to a possible improvement in the quality of the product, enabling it to be kept within the specifications desired for most of the time. Besides, the proposed solution appeared to be simple and accessible for small companies as it applies the Excel software and a free and open-source discrete event simulation software.
Highlights
In a work about simulation optimization in the Industry 4.0 era, Xu et al (2016) mentioned that a new era of industrialization has emerged
The main issue of the work is the combined solution of the possibility of optimizing a process applying the Solver of Microsoft Excel software and the simulation model, which can actuate in a control system in real time
The results were obtained by a single simulation round equivalent to 10 hours (600 minutes) simulated, corresponding to one working day in a typical Hot Mix Asphalt (HMA) production plant
Summary
In a work about simulation optimization in the Industry 4.0 era, Xu et al (2016) mentioned that a new era of industrialization has emerged. The increase in productivity has been the focus of all previous industrial revolutions, starting with the invention of the steam engine in the first Industrial Revolution, continuing with the Taylorism, automation, and computerizing, driven by the production industries themselves. According to Oesterreich (2016) and Schuh (2015), the term Industry 4.0 comprises various technologies that allow the development of automated and digital manufacturing. Modeling and simulation have been described as a relevant concept for managing the increase in complexity of manufacturing processes, assisting, their improvement. The simulation has been applied to various sectors such as manufacturing, services, health, logistics among others (Jahangirian, 2010). Simulation is traditionally used as a tool of
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