aps/mes lean manufacturing management system

Abstract

APS / MES lean manufacturing management system, including system hardware and system software, the software in the hardware is integrated in the main system software, and is seamlessly connected with the main system; the system hardware includes: industrial touch all-in-one machine connected to the host server and LED electronic kanban and The RFID card reader used to read the RFID card, the wireless receiving and transmitting device is connected with the host server, the handheld terminal and the terminal touch screen through the sensor, and the host server is also connected with the host of the logistics distribution center and the host of the delivery center; the system software includes: Supply chain management, sales management, procurement management, warehouse management, subcontract processing, production order, process route, workshop scheduling plan, handheld terminal module, terminal touch screen, material distribution, LED electronic kanban control system software module; system software The management module is divided into: basic data module, supply chain management module, equipment management module, production management module, and handheld terminal module; each module is composed of its corresponding sub-modules.

Description

technical field [0001] The invention relates to a manufacturing management information exchange and information control system, in particular to an APS / MES lean manufacturing management system. Background technique [0002] Due to the increasing pressure of market competition, there are problems in the current situation of manufacturing enterprises: the general manufacturing site is manually counting data such as output, loss, and workpiece progress, which is inaccurate, consumes a lot of labor, and takes a long time for data statistics , can not effectively provide timely information to managers, managers do not understand the progress of orders from time to time, and do not know the progress of each order. The amount of data in the manufacturing site is too large, and the merchandiser cannot realize the progress of each order, and the utilization of production equipment is unclear, and the marginal cost cannot be accurately calculated. [0003] To accurately understand th...

AI Technical Summary

Problems solved by technology

[0002] Due to the increasing pressure of market competition, there are problems in the current situation of manufacturing enterprises: the general manufacturing site is manually counting data such as output, loss, and workpiece progress, which is inaccurate, consumes a lot of labor, and takes a long time for data statistics , can not effectively provide timely information to managers, managers do not understand the progress of orders from time to time, and do not know the progress of each order. The amount of data in the manufacturing site is too large, and the merchandiser cannot realize the progress of each order, and the utilization of production equipment is unclear, and the marginal cost cannot be accurately calculated.

[0003] To accurately understand the above information, it is necessary to add more personnel to count a large amount of production data (such as output, processed workpieces, product loss, equipment speed, temperature and humidity of the equipment environment, equipment operating time, equipment startup time, Downtime, waiting time, maintenance time, etc.), the bottleneck process of the production site is not clear, resulting in a large amount of semi-finished product inventory on the production site, and the production cycle is slow due to the slow information feedback of problems, and the timeliness of dealing with problems is also greatly reduced , which affects the delivery cycle of the production enterprise, which in turn affects the capital turnover rate of the enterprise, increases the cost, and reduces the competitiveness of the enterprise

[0004] In the existing technology, relying on manual statistics, following orders to understand the production progress, product manufacturing processes, etc. is cumbersome and slow, which increases production costs and makes enterprises unable to keep pace with the times.

[0005] There is a certain lag in the data collection, analysis, and statistics of the enterprise, and the follow-up and adjustment of production, sales, inventory, etc. by operators are not real-time

[0006] Customers, upstream manufacturers, downstream manufacturers, and logistics links cannot understand the production status and circulation of the company in real time, and information is blocked and lagged behind.

Images