AVEVA (Schneider Electric) > Case Studies > MMG Generates Large Returns by Focusing on Continuous Improvement

MMG Generates Large Returns by Focusing on Continuous Improvement

AVEVA (Schneider Electric) Logo
Customer Company Size
Large Corporate
Region
  • Africa
  • America
  • Asia
Country
  • Australia
  • Laos
  • Peru
Product
  • Ampla Operations Management software
Tech Stack
  • Data Analysis
  • Real-time Monitoring
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Productivity Improvements
  • Cost Savings
Technology Category
  • Analytics & Modeling - Real Time Analytics
Applicable Industries
  • Metals
  • Mining
Applicable Functions
  • Discrete Manufacturing
  • Maintenance
Use Cases
  • Predictive Maintenance
  • Asset Health Management (AHM)
Services
  • Cloud Planning, Design & Implementation Services
  • Data Science Services
About The Customer
MMG Limited (MMG) is a global mining company with a vision to become the world’s most respected diversified base metals company. MMG operates and develops copper, zinc and other base metals projects across Australia, the Democratic Republic of the Congo (DRC), Laos and Peru. It also has significant exploration projects and partnerships across Australia, Africa and the Americas. One of the core business drivers for MMG is to generate value through transformation. This strategic intent drives business efficiencies, and led MMG to implement an asset utilisation program.
The Challenge
MMG Limited, a global mining company, was seeking to implement a standardised Asset Utilisation solution across all its operational sites. The solution needed to be flexible enough to adapt to the local operating conditions of each mine, while also providing a standardised asset utilisation data that they could analyse in real-time. The company wanted to have the capability to drill-down to the root-cause of any equipment asset that was exhibiting less than perfect utilisation, in order to drive continuous improvement through the business. The new system and processes had to be readily accepted by users everywhere, and this had to be achieved in a single sign-on environment compatible with existing systems.
The Solution
MMG selected Ampla Operations Management software as a solution to deliver near real-time visibility into global production plus the ability to drilldown to root-cause analysis of ‘less than perfect’ utilisation events. The software captures relevant data to provide easy to understand real time intelligence for analyses. The solution delivered by AVEVA included everything from software, licensing and support, through to business consulting, solution design, implementation services, documentation and user training. The asset utilisation solution implemented at MMG has taken the old OEE lag indicator to a real-time lead indicator. All required data is captured from existing instrumentation and control system, and calculated and presented as easy understandable information to operators.
Operational Impact
  • Operators are able to proactively chase realistic operation targets in near real-time; reducing both the time to resolve problems and the amount of production loss experienced.
  • Operators have a better understanding of their process and learned not to push the process harder than it could handle; minimising downtime and improving throughput.
  • Process constraints and bottlenecks were exposed, allowing key operations people to more effectively target their continuous improvement initiatives; resulting in a more collaborative approach to problem resolution between departments.
  • The native drill down analyses capabilities provided with Ampla Operations Management software allowed to determine root-cause of any “less than perfect” utilisation; making it easy to identify the “low hanging fruit” or those issues, that if addressed, would deliver MMG the biggest ROI on their time and investment.
  • Provided clarity on how to achieve optimum productivity which drives improvement to assets, resources and processes.
Quantitative Benefit
  • Increased asset utilisation by at least 10% across the sites.

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