Abstract
In the manufacturing industry, excellent product quality and increased production flexibility can be achieved by eliminating waste and improving production efficiency. In the past, the manufacturing industry used manual records of production information, but this method is characterized by low efficiency and high error rates. Even if a programmable logic controller and radio-frequency identification are employed, problems still occur because of constraints such as different machine types and high costs. The use of a cyber–physical system and information visualization requires the collection of manufacturing information in order to facilitate the analysis of manufacturing data. Monitoring the machining status. This study proposes an approach for segmenting machine-processed signals. With plug-and-play noninvasive current-sensing equipment to collect machine production information, this approach can immediately determine the state of the manufacturing process and calculate the machine utilization, machine production cycle, and production quantity. The goal is to enable the use of this method with this equipment, improve machine utilization, instantly identify the production quantity, and reduce equipment idle time to reduce manufacturing waste, thus rendering production management more convenient and faster.
Highlights
The market demand for customized products, which requires high-quality, low-cost products and fast delivery, the manufacturing industry must ensure that the operating time of machines exhibits more flexibility, adaptability, and intelligent decision-making
We propose a method for ascertaining current processing status, production cycle time, production quantities, and equipment availability through signal analysis and using noninvasive current-sensing hardware based on current signals to connect to equipment to collect current signal information
This paper presents an approach for analyzing machine status signals, and this approach can be used to obtain machine production information by using noninvasive current-sensing devices
Summary
The market demand for customized products, which requires high-quality, low-cost products and fast delivery, the manufacturing industry must ensure that the operating time of machines exhibits more flexibility, adaptability, and intelligent decision-making. Using infovis in factory management indicators and applying it in plant management can help the plant to effectively analyze manufacturing problems. This will increase flexibility and adaptability and facilitate achieving high-quality, low-cost products and fast delivery. Overall equipment efficiency (OEE) is the most commonly used indicator to measure the operation of production equipment. It simplifies complex problems in manufacturing and reformulates them through simple indicators. Using OEE to measure equipment operation is the most effective method of analyzing the efficiency of a manufacturing system In this approach, the overall efficiency of a factory is analyzed in terms of equipment availability, performance, and quality
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