McDermott Boosts Productivity and Safety with AI-Driven Equipment Monitoring, Cutting Downtime by 27%

Project Details

Sector:

Energy & Infrastructure

Industry:

Industry:

Fabrication / Construction

Industry:

Location:

United Arab Emirates (global)

Overview

McDermott, a leading offshore rig fabrication company, faced operational inefficiencies due to the lack of real-time tracking for equipment and operator performance. Managing a diverse fleet—including arc welding machines, generators, compressors, forklifts, and cranes—required better data visibility to improve productivity, safety, and maintenance. To address these challenges, McDermott partnered with TENDERD to implement an AI-driven equipment monitoring solution that provided real-time insights into operator performance, asset utilization, operational safety, and maintenance scheduling.

Pain Points

01

Low Workforce Productivity

Without clear performance benchmarks, operators worked at different levels of efficiency, causing delays and wasted resources.

02

High-Risk Operations

Unsafe behaviors and operational risks were difficult to identify, increasing the likelihood of workplace accidents.

03

Unexpected Equipment Failures

Machines frequently broke down, leading to delays in project timelines and costly repairs.

04

Unplanned Maintenance Costs

Repair expenses fluctuated, making it challenging to plan budgets and optimize resource allocation.

Impact

15%

Increase in Operator Productivity

With RFID tracking, McDermott optimized workforce efficiency.

18%

Improvement in Equipment Uptime

Preventive maintenance planning reduced unexpected breakdowns.

27%

Reduced Equipment Downtime

Better tracking enabled smarter operations improving environmental impact.

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