دانلود رایگان مقاله انگلیسی سیستم های اجرایی تولید هوشمند برای شرکت های کوچک و متوسط - الزویر 2018

Abstract

Manufacturing Execution System (MES) plays an important role in supporting small and medium-sized enterprises (SMEs) for their daily production operations. SMEs’ businesses traditionally rely on paper based system of operations. With the rapid increase in technology, it is almost guaranteed that this will be replaced by more efficient and reliable smart MES. This paper presents a RFID enabled real-time manufacturing system which will incorporate five functions. These five functions will be integrated into an android based interface which reads and writes data to a cloud based database in real time. NFC technology is also utilized to improve the ease of use. This aims to promote communication within a company, improve product quality, optimize data storage and reduce paper waste. A case study demonstrates the feasibility and practicality of the designed and developed system.

4. Conclusions

This application is a smart manufacturing execution system (MES) aimed at small and medium sized manufacturing enterprises (SMEs) to gain the most are those that rely on manual and paper based data collection of shop floor information, and do not have the spare funds to invest in the costs associated in fully setting up an ERP system. This paper contributes to several aspects related to the IoT enabled smart MES. Firstly by proposing a mobile RT-MES, that can be used by workers as well as managers to mitigate and accurately respond to the dynamics of the shop floor. Secondly, the use of a decentralized cloud server allows the information provided by multiple ERP systems to on one database. Enabling the proposed application to be modular in nature and adaptable to any business, whether they partly use an ERP system or not.

The recommended future work can be split into two distinct paths. The first would focus on the modular or adaptability of the application which was not fully implemented due to time and cost restrictions as well as limited coding knowledge. This requires the compressing and integrating the information provided by multiple ERP systems so that business are not limited in their providers. The second path focuses on shifting from only an interface only application towards a more selfreliant MES application. Much more research would be required from this pathway as it would require the formulation of mathematical models for real-time planning and scheduling and process management.