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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.
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.
Overall equipment effectiveness OEE represents a set of key characteristics that allows monitoring the efficiency and productivity of the manufacturing processes. The main purpose of any OEE initiative is to become the most efficient, most effective manufacturer within a market, minimizing the main losses. Overall line effectiveness OLE is another OEE related to measure productivity of production line. It is a powerful metric of manufacturing performance incorporating measures of the availability, performance efficiency, and quality of a given processes along the manufacturing line. There are many methods exist by which productivity could be analyzed and improved, such simulation software that allows users to monitor and identify the problems faced for improving the productivity of the company. In the present paper a simulation program (OLE analyzer program) developed to monitor production system and identify the line based on OLE. The methodology depends on developing the OLE metrics to be more accurate and suitable for implementing on a production line that all involving number of machine arranged in series and parallel. It deals with each machine in the production line with its actual performance. The proposed methodology was applied to a case study where the OLE metric were 46.84% related to the six big losses (breakdown, setup, idle time, reduced speed, time loss, reject on startup, and production reject), and low development of losses improvement were assessed. The study suggested the area of weakness suffer from lack of learning orientation that is ought to be improved and at the same time, a variety of specific recommendations are provided. After implement the computer software methodology, the improvements plan the OLE value increased to 68.94%. Keywords: Overall equipment effectiveness – overall line effectiveness – OLE analyzer program.
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.
2016 International Conference on Control, Decision and Information Technologies (CoDIT), 2016
Overall equipment effectiveness OEE represents a set of key characteristics that allows monitoring the efficiency and productivity of the manufacturing processes. The main purpose of any OEE initiative is to become the most efficient, most effective manufacturer within a market, minimizing the main losses. Overall line effectiveness OLE is another OEE related to measure productivity of production line. It is a powerful metric of manufacturing performance incorporating measures of the availability, performance efficiency, and quality of a given processes along the manufacturing line. There are many methods exist by which productivity could be analyzed and improved, such simulation software that allows users to monitor and identify the problems faced for improving the productivity of the company. In the present paper a simulation program (OLE analyzer program) developed to monitor production system and identify the line based on OLE. The methodology depends on developing the OLE metrics to be more accurate and suitable for implementing on a production line that all involving number of machine arranged in series and parallel. It deals with each machine in the production line with its actual performance. The proposed methodology was applied to a case study where the OLE metric were 46.84% related to the six big losses (breakdown, setup, idle time, reduced speed, time loss, reject on startup, and production reject), and low development of losses improvement were assessed. The study suggested the area of weakness suffer from lack of learning orientation that is ought to be improved and at the same time, a variety of specific recommendations are provided. After implement the computer software methodology, the improvements plan the OLE value increased to 68.94%.
2017
1Asst. Prof ,2Student, Mechatronics Engineering Department, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad-IRAQ ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Manufactured products need to control the process and quality control before marketing the product. Machine vision systems are widely used today in the manufacturing industry for inspection and sorting application. High-productivity industries can't be standardization of all the pieces produced and therefore can't be revelation errors in production as well as increase the error rate.
Estonian Journal of Engineering, 2013
Real time production monitoring systems (PMSs) is an alternative to manual data collection and captures most of the required production data without human intervention. The general objective of the current study is to analyse PMSs and to offer particular solutions for small and medium sized enterprises (SMEs). The subtasks to be solved in the case of each particular PMS include determining relevant parameters, designing PMS and development of the data analysis and prognosis model for short term and long term planning. The selection of suitable PMS components and relevant parameters and the development of lathe cutting unit measuring system are described in the case study. Defendec Inc. and National Instruments Corporation wireless components were adopted to implement a part of the PMS.
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.
PuBliÉ aveC le CoNCours de l'iNstitut des sCieNCes humaiNes et soCiales du CNrs et du CeNtre NatioNal du livre TOME 100-1 AU SIÈGE DE LA SOCIÉTÉ MUSÉE DU QUAI BRANLY P A R I S 2014 TIRÉ À PART JOURNAL DE LA SOCIÉTÉ DES AMÉRICANISTES Sommaire du tome 100-1 articleS 7 Dimitri Karadimas : Voir une chenille, dessiner un serpent à plumes. Une relecture analogique de l'hybridité et des êtres imaginaires en Mésoamérique préhispanique 45 Elena mazzetto : Espaces, parcours cérémoniels et fabrication d'objets rituels dans la fête mexica d'etzalcualiztli 69 Jean-Pierre estival : La représentation de la musique et de la danse dans les oeuvres de Post et Wagner : une archéologie des musiques noires au Brésil 101 Juan Camilio Niño vargas : El tejido del cosmos. Tiempo, espacio y arte de la hamaca entre los ette (chimila) 131 Florencia tola : Esposos y amantes consanguíneos entre los toba (qom) del Gran Chaco 163 Elizabeth Araiza : Ritual, teatro y performance en un culto al niño dios y al diablo. Las pastorelas de la región purépecha, Michoacán (México)
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