Development of an open source-based manufacturing execution system (MES): industry 4.0 enabling technology for small and medium-sized enterprises

Abstract

The companies' production systems have been transformed by industry 4.0 technologies, therefore increasing their sophistication. Vertical integration, one of industry 4.0 pillars, is filling the gap between lean manufacturing and industry 4.0 through manufacturing execution systems (MES), that aid in process control and improvement through data analysis. As a contribution to enterprises migration towards industry 4.0, this work aims to develop a MES based on open source technologies and functional characteristics similar to those systems available on the market, although the system developed aims at small and medium enterprises. In order to do so, the t echnologies and software available on the market were assessed against characteristics defined as important in the evaluation of similar systems. The MES developed through the use of open source technologies resulted in 76.22% of characteristics similar to other systems, besides having a sale price up to 55.3% lower than other commercial systems. OpMES, the developed system, was successfully implemented in a company whose production process is complex due to the high level of customization of the product.

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

“…Highlighting as a result that the execution time of the whole process went from 210 minutes (before VSM) to 137 minutes (after VSM). Besutti, Machado and Cecconello. (2019) argue that OEE can be used to assist in quality control in I4.0.…”

“…One of the main performance indicators in Lean is OEE, which is based on the multiplication of three parameters associated with the equipment: availability, performance, and quality. Used as a tool in total productive maintenance (TPM), OEE is the key to indicate the performance of all organizations committed to eliminating waste (Besutti, Machado & Cecconello, 2019). VSM is an important LM tool to evaluate criteria related to the process flow.…”

“…I4.0 allows more production autonomy as the technology becomes more interconnected and the machines can influence each other (Villalba-Díez et al, 2020). The basis of I4.0 is composed of some pillars such as: Artificial Intelligence; Cyber-Physical Systems; Big data; the Internet of Things (Besutti, Machado & Cecconello, 2019). Artificial Intelligence is a branch of computer science that using algorithms defined by specialists can recognize a problem, or a task to be performed, analyze data and make decisions, simulating human capacity (Causa, 2018).…”

Personalization of the MES System to the Needs of Highly Variable Production

“…Industry 4.0 has created a new type of competition between enterprises. This prompts companies to seek fundamental solutions in quality, performance and agility in their processes and products, hence the manufacturing execution system (MES) has been indispensable to assist them in this process [ 68 ]. The system supports the production process, providing access to information displayed in graphics that enables monitoring and analysis of production, as well as products and equipment status, making it possible to trace its use which leads to idleness minimization.…”

Desenvolvimento de um Data Logger para acompanhamento de variáveis de processo

“…Na primeira, ocorre a integração entre empresas relacionadas, modelos de negócios. Na segunda, integração vertical, ocorre a integração entre processos e sistemas da empresa, máquinas e redes inteligentes integradas, fornecendo informações massivas à rede [3,14,15]. A integração de engenharia ponto a ponto une a cadeia produtiva de um produto, desde fornecedores, design, produção, manutenção e reciclagem [1,16].…”