Some aspects of visual management systems applied in modern industrial plant (original) (raw)
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Visual management system to manage manufacturing resources
Procedia Manufacturing, 2017
The next generation of manufacturing will be focused of utilizing lean tools within production industries. Internet of Things (IoT) has made its progress evolvement into the manufacturing industry and has led to improved control when implemented to monitor manufacturing resources. Smart production systems can integrate the virtual and physical worlds and accomplish improved transparency of production processes. These smart production systems will go beyond the traditional means of collaboration to move companies from good to great. In this study a visual management system was developed for resource management research for the Stellenbosch Technology Centre’s Laboratory for Advanced Manufacturing (STC-LAM). This system gathers shop floor data and display it in a dashboard. Results and future work was also discussed.
Study and Implementation of Visual Management System in a Shirt Manufacturing Unit
International Journal of Creative Research Thoughts , 2021
Due to increased customer demand and global competition, on time delivery with quality for the Indian apparel manufacturer has become important. In RMG industries, lead time is decreasing day by day. In order to reduce wastage of time, resources and money, lean tools are implemented. Lean tools are simple and do not require a lot of investment for good results. There is limited study on implementation of lean manufacturing system in garment industry. The primary focus of the study is on the implementation of one of the lean tools, viz. Kanban Management System, in a shirt manufacturing unit. The production reports and production flow was analysed to understand the root cause of the problem. After indication, improvement proposal is given to the industry from which the productivity as well as line efficiency has compared before and after applying the techniques.The report is then analysed after the time duration of three months.Also the positive change in the working environment due to implementation is analysed.
Design of an automatic production monitoring system on job shop manufacturing
Every production process requires monitoring system, so the desired efficiency and productivity can be monitored at any time. This system is also needed in the job shop type of manufacturing which is mainly influenced by the manufacturing lead time. Processing time is one of the factors that affect the manufacturing lead time. In a conventional company, the recording of processing time is done manually by the operator on a sheet of paper. This method is prone to errors. This paper aims to overcome this problem by creating a system which is able to record and monitor the processing time automatically. The solution is realized by utilizing electric current sensor, barcode, RFID, wireless network and windows-based application. An automatic monitoring device is attached to the production machine. It is equipped with a touch screen-LCD so that the operator can use it easily. Operator identity is recorded through RFID which is embedded in his ID card. The workpiece data are collected from the database by scanning the barcode listed on its monitoring sheet. A sensor is mounted on the machine to measure the actual machining time. The system's outputs are actual processing time and machine's capacity information. This system is connected wirelessly to a workshop planning application belongs to the firm. Test results indicated that all functions of the system can run properly. This system successfully enables supervisors, PPIC or higher level management staffs to monitor the processing time quickly with a better accuracy.
Real time production performance monitoring system a production aid for all industries
wseas.us
A number of production floors are utilizing manual methods of data collection for producing reports. Manual data compilation leaves room for both inconsistencies and inaccuracies when manual data collection is practiced, there is usually a second step of manually compiling the data. This is most commonly accomplished by entering in the information into spreadsheets. When the data is collected without the help of a production performance score board then the data can be inaccurate. Where there is human intervention on the recording and collection of data, the truthfulness of the collected data is no longer reliable. Another disadvantage of manual data collection is sustainability. The more intensive the task for improvement is attempted, the more likely the priorities will change and the OEE initiative will fade along the way. This paper presents an automated data display system for production performance. Once the data displayed, it is transferred into computers at the remote office. The system will generate an automated report which stays in place and the management only need to act base on the results. This cost effective automatic data collection is the alternative to manual data collection. It significantly improves the accuracy of the valuable reports for the managements.
Automated inspection systems is the target for all automated organizations. The objective zero defect considers as a challenge for many industries since there are many factors effect on production line. Increase scrape items effect on productivity and environment; rework produced items as bottle neck for production lines and decrease products rates. The objectives for the research project focused on four main concerning, Evaluate automated inspection and control system in manufactures. Redesign online inspection system for some industrial case studies for the purpose of enhancing Quality control, tracking quality control in manufacturing systems and embedded improving computer vision systems in the production lines levels, and reduce defect items by correct parameters during the production lines. Research project focused on some case studies like (plastic, hot stamping, assembly, and textile) industries in Malaysia and Iraq. Computer vision systems was the common methods since it considers as non-destruction testing system. One of the machine vision systems techniques is image processing technique. Image processing algorithm implement by using MATLAB and Simulink. The developed points in this research focused on interpret defects and signal feedback for correcting deviations in the setting parameter for the fabrication machines. This system will help manufacturers to understand faults for their products online during fabrication route. Three main functions were using feature matching, color recognition and orientation and recognize the object functions. The results for this system showed that the ability for the system to know the weak points in the produced items and the production systems and accurate them with keeping on the stability for the automated system. Growth in information technology and cameras will improve system capabilities in different fields and adaptable for heavy environments.
The Production Performance Monitoring System
wseas.us
To ensure efficient running of production line a production performance monitoring system (PMS) is necessary. Such a system could relay data to monitoring office where decisions can be made to improve production. The data should be true and it should be relayed without human intervention. Such unadulterated data would be interpreted and analyzed to spur actions from the management. A production line is normally operated in a combination of automation or semi automation machineries using programmable logic controller (PLC), sensors and display panel. All this builds the entire networking of the PMS. With the help of this monitoring system the management will be able to monitor both the workers and machine performance. This performance will directly reflect towards the production output. To ensure the performance is always sustainable a real time PMS is required to capture the information's from the production lines and distributes them into understandable production data. The data available should be interpreted accurately in order to identify the various faults at production level and to immediately rectify them to improve efficiency. An accurate data management and monitoring system is equally important in improving production. Faults due to improper monitoring are a down turn to the management whereby it will result in less productivity. Devices designed should be capable of working as individual units or working together with multiple terminal links such as automated machineries, robotic systems and manual process line. This system can be used in any production line to monitor the line performance and helps to improve line efficiency. By implementing such a system will result towards a better line efficiency and this will help the company to generate higher revenue.
IOP Conference Series: Materials Science and Engineering
This paper gives a brief overview of the conditions, approaches and prospects of production control and monitoring of manufacturing industry through implementing information systems for optimizing the manufacturing process and to provide an answer to the question of the specificities for successful management of machine manufacturing enterprise through integrated software solutions. New integrated IT solutions based on the newest business management trends and information technologies that includes tools for management of the production and materials, as well as inventory planning, allocation of production resources, process analysis and production organization leads to improvement of the efficiency of business management and production management processes in manufacturing.
Vision-based Sensors for Production Control — The experience gathered in Applications
Intelligent Systems for Manufacturing, 1998
This contribution summarizes several own developed industrial applications where computer vision-based sensors were used for control and visual appearance check. The knowledge-based systems in manufacturing often lack the on-line information about the production. Cameras as sensors are flexible and mature enough to provide a feedback in very varying tasks. The hope is that the list of specific applications may enable to bridge the gap between the knowledge-based systems in manufacturing community and computer vision people.
PRODUCTIVITY ENHANCEMENT THROUGH PRODUCTION MONITORING SYSTEM
A production monitoring system uses the real time data while production is online. The real time production monitoring systems are designed as means of auto data to collection and monitoring the data via display boards. This study focuses on analysing the real time production monitoring systems through trend analysis in production and over consumption of raw material controlling the over consumptions in a pen manufacturing industry. Methodology followed is through process flow diagram, collection of data, analysis of data. Pre and post analysis was conducted to identify the factors responsible for over consumption and causal factors responsible for the over consumption were identified to reduce the cost of consumption by 58% with introduction of production monitoring system.
Vision System in Product Quality Control Systems
Applied Sciences
The development of technology for manufacturing products and machines carrying out technological operations is closely linked to developing systems for tracking and controlling product and production process parameters. This paper shows how the development of quality control and production management systems such as TQM and MES is related to the development of imaging and image analysis methods used in industry. The development of imaging methods is discussed in the context of developing product quality control capabilities. It is also shown as to what extent image analysis can be used to observe manufacturing parameters and process management capabilities. It was noted that the use of vision systems as an industrial measurement-quality control system would still increase. Due to the increase in imaging resolution, there was an increase in the imaging frequency, growth in the spectral range of imaging, and the dynamic development of three-dimensional and hybrid imaging methods. Base...