GIF smart molding 100px

LATEST ISSUE

Fakuma Banner 368x150 2024 Leitmotiv DE

Tags
Shows
23. - 26. April 2024
Chinaplas
Shanghai, China
06. - 10. May 2024
NPE
Orlando, USA
15. - 19. October 2024
Fakuma
Friedrichshafen, Germany
Have some relevant information to share? Send a message to info@smart-molding.com — we are always happy to discuss!

Smart Molding B3 SIL USA 368x90 1

CPS24 Livestream PlastiksICL 368x90 EN

SmartMoldingBanner A2 768x90 MarchApril min

Логотип сайта
i-PLANT information solution for injection workshop

i-PLANT information solution for injection workshop

News 02.05.2017

iplant230778 170316141845

Shenzhen i-PLANT Technology Co.,Ltd will participate in Chinaplas and exhibit its latest innovations for injection molding workshop.

In view of the development of today's rubber industry, I - PLANT will launch the latest injection workshop information solutions, aiming to help customers to improve their workshop informatization, build network management system to relate the machinery, equipment and personnel information. The company insists to achieve transparency and digital production of injection molding workshop.

Current situation
1. High artificial participation: manual Excel production scheduling, manual production daily, paper assignment sheet, artificial equipment mold maintenance management. This will lead to inaccurate production plan, unreasonable fillet, low the equipment utilization rate and seriously lag field data.
2. Data acquisition and monitoring weakness: the machine process parameters cannot be real-time monitoring, adjust process parameters optionally, difficult equipment data acquisition, late on-site alarm response
3. Traditional information management systems: such as ERP, focusing more on material plan/send/receive/cost settlement, and general ledger, etc., does not have valid data to support the process of production site. Not in time Logistics distribution and other anomalies will easy cause inconsistent accounts.

With "industry 4.0" and "made in China 2025" development planning, the rapid development of information technology and automation technology, the state's emphasis on intelligent manufacturing, more and more companies are beginning to build suitable production management information platform for their own factory.

I - PLANT integrates personnel, equipment, material manufacturing elements into I - PLANT system research and development as the concept of intelligent manufacturing, making the production process more informational and controllable, in turn, to speed up response of customer demand and help customers to build an excellent manufacturing enterprises.

Main i- PLANT aspects:
1. Transparency of the production process meets the demand of enterprise manufacturing improvement.
By means of injection molding machine real-time monitoring and control, i-PLANT system can realize real-time data acquisition, monitor the whole process and its quality, alarming, synchronize logistics information, etc. At the same time, the detailed and effective production process data and summary analysis report will be provided for different enterprise managers.
2. Customized system interface fits different enterprise operating requirements.
I - PLANT "customization" makes initiative possible for enterprises and meets the demand of small and medium-sized enterprises "personalized", bringing favorable user experience for enterprises. according to the user choice, I - PLANT system will map process conditions on SPC data analysis in the production process, machine, material, data and summary data of yield and yield, making customer convenient and accurate understanding of the product data.
3. Production can be under control anytime, anywhere.
Real-time information collection and feedback function can eliminate the delay caused by information asymmetry, improving the real-time status of timely response rate, reduce the number of the product repair and rework. I - PLANT independent research and development system of the mobile terminal APP (mobile phones, tablet) can synchronize the abnormal alarm, making it possible for managers to check the production situation at real time even though they are not in production site.

 

Our website makes use of cookies to ensure we give you the best experience on our website.
By continuing browsing on our website you give your consent to our use of cookies.