Boost
Boost

Digital Maintenance & Smart Work Management

MRMC-3839

Course Code

5 Days

Duration

4

Upcoming Dates

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Sector Name

Maintenance & Reliability Management

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06 Dec 2026 | 10 Dec 2026
Manama, Bahrain
$4,250
Limited Seats
24 Jan 2027 | 28 Jan 2027
Salalah, Oman
$4,250
Upcoming
31 May 2027 | 04 Jun 2027
Dubai, UAE
$4,250
Upcoming
26 Jul 2027 | 30 Jul 2027
Texas, USA
$5,950
Upcoming

Course Introduction

Maintenance organizations are increasingly moving away from fragmented records, manual coordination, and isolated equipment information toward connected digital work environments. Yet introducing CMMS, EAM platform, mobile application, sensor data, or automated workflow does not automatically improve maintenance performance. When poor processes are simply transferred into digital systems, organizations may gain more data and screens without achieving faster work execution, stronger equipment history, or better maintenance decisions.
 

Boost Consulting & Training offers this course to develop a practical understanding of how digital tools can strengthen the complete maintenance work cycle. The program explores digital work requests, CMMS and EAM workflows, mobile maintenance, asset information, connected condition data, automation, digital field execution, and emerging AI applications.


Participants focus on where technology can remove delays, improve information flow, strengthen field execution, and create a more connected maintenance operation rather than learning one specific software platform.
 

The main concept of this course is to connect maintenance people, asset information, and work processes digitally so that technology improves how maintenance is requested, executed, recorded, and continuously optimized.

Course Objectives

  • Explain how digital technologies are changing maintenance work management.
  • Evaluate maintenance processes before transferring them into digital workflows.
  • Structure asset and maintenance information for effective CMMS and EAM use.
  • Improve work request, planning, scheduling, execution, and closeout through connected workflows.
  • Apply mobile technologies to strengthen field maintenance execution.
  • Connect condition and equipment information with maintenance actions.
  • Identify practical opportunities for automation and AI within maintenance processes.
  • Develop priorities for improving digital maintenance capabilities.
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