To comprehend the rise in demand for services & solutions for predictive maintenance to manufacturing organizations, we provided our client precise market insights so they could make wise investment choices.
1
Our client's company operates in more than 100 countries and provides IT services, and other things. The company offers a wide variety of products for a variety of industries, including those in the automotive, manufacturing, retail, financial services, transportation, public sector, and energy and utilities.
2
The goal of the company's strategy is to meet customer needs by offering them bettOur strategy included to provide all the necessary market insight to our client before taking investing decisions.
3
Research Nester made sure that risks are kept to a minimum and the need of the client is met.
Predictive maintenance boosts manufacturing and industrial plants' output, product quality, and overall efficiency. It also offers a reduction in downtime and the amount of pointless stops, as well as a reduction in repair expenses. Work done as part of predictive maintenance, such as installing sensors, retrieving information, maintaining models, and doing maintenance, assists in lowering maintenance costs. However in the case of our client’s business Some of the main causes of declining business profits were excessive maintenance costs, downtime, poor performance, and effects on product quality. Perhaps more importantly, poor maintenance management seriously impaired the capacity to produce high-quality goods that can compete on the global market. Our Client employs AI-based IoT solutions to improve customer service and do preventative maintenance. The price of maintenance increases as the number of systems increases. As a result, the company found it difficult to upgrade and manage AI-based IoT systems while continuing to supply solutions. Furthermore, there was a need to keep an eye on fleet performance to improve utilization analysis
Our four steps ANDECON Model for taking sound investment decisions:
1. Analyze the current state of the market.
2. Determine the risk profile and set an investing goal.
3. Decide on the best investment niche.
4. Conduct risk assessments and keep an eye on investments.
1
By increasing the investment in predictive maintenance solutions, demand was met upto 15%.
2
The uptime was increased by a factor of 8 %, and expenditures were lowered by 10% by applying predictive manufacturing in maintenance. Additionally, by extending the lifespan of ageing assets by 18%, the hazards to safety, the environment, quality, and human health are reduced by about 12%.
3
By taking into account market insights, our client improved the quality of services it offers, which further resulted in a 5-7% rise in profitability.
4
Furthermore, 5,000 pieces of equipment were monitored using a large-scale application of AI for predictive maintenance. Additionally, from more than 2 million sensors, around 10,000 algorithms capture 10 billion rows of data each week. Every day, 12 million forecasts are produced using this data and algorithmic capability.
Copyright © 2024 Research Nester. All Rights Reserved.
