• about reply
Brick Reply Logo
Menu
  • PLATFORM
  • APPLICATIONS
    APPLICATIONS
    • APPLICATIONS
    • ADVANCED PLANNING & SCHEDULING
    • MANUFACTURING EXECUTION
    • PRODUCTION QUALITY
    • PLANT MANTEINANCE
    • MONITORING & REPORTING
    • SHOP-FLOOR DIGITAL TWIN
  • CONTACTS
  • BOOK A DEMO
Choose language:
  • about Reply
Brick Reply Logo
Focus On

Product

COMPUTERIZED MAINTENANCE MANAGEMENT

Predictive maintenance is a proactive maintenance strategy that uses condition monitoring tools to detect various deterioration signs, anomalies, and equipment performance issues. Based on those measurements, combining IIoT and machine learning, the organization can run algorithms to estimate when a piece of equipment might fail so that maintenance work can be performed just before that happens. The goal of predictive maintenance is to optimize the usage of maintenance resources. By knowing when a certain part will fail, maintenance managers can schedule maintenance work only when it is actually needed, simultaneously avoiding excessive maintenance and preventing unexpected equipment breakdown

The predictive maintenance is suggested for companies that would like to improve the efficiency of their production equipment. This type of maintenance offers large cost savings because it finds in advance the failures and allows to save production time through early planning. Through this approach, maintenance interventions are planned punctually: interventions are executed exactly when required, a few moments before a machine failure.

This approach may be strategic if:

  • Machine has sensors: thus, it is able to send consistent series of measures about physical variables, chemical variables etc.
  • Machine is critical for production: in this case, it may be necessary to adopt a predictive maintenance approach in order to minimize the machine stops
  • Machine is a strategic and important business asset: in this case, it may be necessary to adopt a predictive maintenance approach in order to maximize the machine life-cycle and productivity.

Brick Reply™ is the innovative platform allowing to take under control the whole maintenance process. With Brick Reply™ it will be possible to predict maintenance intervention for sensorized and strategical machines, but also to schedule a maintenance plan for not sensorized machined that are critical for production and performing corrective maintenance on other equipment.

RELATED CONTENTS

23.06.2022 / Milan

Event

IDC Industry Week - Manufacturing Day 2022 [english]

On 23th June 2022 Brick Reply and Syskoplan Reply will join IDC Industry Week - Manufacturing Day 2022, an event dedicated to the manufacturing sector to explore the technological trends of the future.

19.10.2021

News & Communication

Reply named a “Leader” in the IDC MarketScape Report on Smart Manufacturing in Europe

Reply was recently positioned as a "Leader" in the IDC MarketScape: “European Smart Manufacturing Service Providers 2021 Vendor Assessment“.

01.09.2021

News & Communication

Reply: The Internet of Things, together with the evolution of 5G and edge computing, is driving industrial innovation

Reply’s latest research “Industrial IoT: A Reality Check” explores two key areas that are driving the growth of IoT within the industrial market: smart factory and smart transport & logistics.

 
 
 
 
Reply ©​​ 2023 - Company Information -
 PrivacyCookie Settings​
  • Abou​t Reply​​​​​​
  • Investors​​​
  • Newsroom​
  • Follow Reply on
  • ​
​
  • ​Brick Reply
  • Privacy & Cookies Policy
  • Information (Client)
  • Information (Supplier)