​A solution to manage your predictive maintenance strategy

Traditional maintenance is built primarily on a reactive and preventive approach – when something breaks you fix it, or when it’s time to change a part, you change it. This approach can lead to downtime and lost production, safety risks, expenses related to planning, overtime, rush orders of spare parts, and inventory carrying costs, plus loss of customer satisfaction due to delays. Move to a data-driven predictive maintenance strategy using Rand Group’s cloud-based solution to predict asset issues before they even occur.

7 criteria for choosing a support partner

Reduce downtime with a predictive maintenance strategy built by Rand Group

Predictive maintenance uses a combination of sensors, artificial intelligence, and data science to optimize equipment maintenance. It monitors data collected from assets to identify patterns that lead to potential problems or failures, and with this data you can address issues before they happen. This ability to predict when equipment or assets need maintenance allows you to optimize equipment lifetime and minimize downtime, rather than waiting for a problem to repair or only scheduling maintenance on a fixed, unchanging schedule.

Rand Group is your technology partner to implement your preventative maintenance solution including collecting data from your assets, training a machine learning model, identifying predicted failure cases, and building a plan to act on insights. The solution will continuously analyze asset performance to identify issues before failures occur to improve performance, promote asset longevity, and reduce downtime and contracted maintenance costs. Our team of software engineers and industry experts will implement a strategy tailored to your business and ensure all team members are trained on the solution to ensure long-term success and business value.

Optimize

Increase asset uptime and lifetime

Use advanced analytics to identify performance anomalies or critical equipment issues faster than through the traditional break-fix approach to extend the lifetime of your assets and plan maintenance better.

Analyze

Get better insights from your data

Aggregate data across assets from multiple facilities and operations to gain a universal, 360-degree “truth” about equipment performance and overall operational efficiency.

Budgeting

Reduce the cost of maintenance activities

Lower maintenance costs by giving technicians the data and tools they need to help equipment perform more efficiently and only schedule maintenance when it is needed.

Benefits of predictive maintenance

Benefits of predictive maintenance

Predictive maintenance can be useful for businesses of all types, from oilfield machinery manufacturers and construction equipment rental to drilling companies and field service organizations. It offers real-time insights and tracks an asset’s full lifecycle from install, to maintenance, upgrades, and repairs. Additionally, it enables faster incident response so you can provide better service to clients or boost your operations.

Questions you can train your predictive maintenance solution to answer to ultimately reduce downtime and increase profitability:

  • What is the probability that a failure will occur within the next 4 hours?
  • What is the remaining useful life of the asset?
  • Is this asset behaving in an unusual way?
  • Which asset requires servicing most urgently?

Case Study

Conquest LLC

Achieve seamless predictive maintenance with Rand Group

Conquest Completion Services, LLC, is an oilfield services company that maintains a large fleet of equipment. The company engaged Rand Group to transform their predictive maintenance operations by implementing Dynamics 365 Field Service. Prior to the implementation, managing preventative maintenance for their fleet was cumbersome and prone to errors. Now, all maintenance is digitally tracked and managers receive notifications on predictive maintenance. With D365 Field Service, all equipment is optimally maintained, saving countless hours and improving client experience.

Case Study - Conquest LLC

Case Study

Conquest LLC

Achieve seamless predictive maintenance with Rand Group

Conquest Completion Services, LLC, is an oilfield services company that maintains a large fleet of equipment. The company engaged Rand Group to transform their predictive maintenance operations by implementing Dynamics 365 Field Service. Prior to the implementation, managing preventative maintenance for their fleet was cumbersome and prone to errors. Now, all maintenance is digitally tracked and managers receive notifications on predictive maintenance. With D365 Field Service, all equipment is optimally maintained, saving countless hours and improving client experience.

Discover other business solutions offered by Rand Group

Rand Group offers numerous solutions across business areas and industry that we tailor to each client to transform your operations. Our team of software engineers will ensure your solution integrates with the rest of your technology stack, including your ERP system, and can accommodate unique processes and facilitate data flows. Explore other solutions below to compliment predictive maintenance.

Equipment Rental

Explore Rand Group’s unified, cloud-based solution for equipment rental that tracks equipment-related costs, reduces scheduling and processing times, optimizes utilization, and improves customer service.

Asset Tracking

Manage your assets from acquisition through retirement with a solution that integrates directly with your ERP system for maintenance and repair management, contract and order creation, depreciation calculation, and more.

Let’s talk about how we can transform your business

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