Monosens Technology
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Monosens helps you to predict when your customers' machines need maintenance or aftermarket services.

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Monosens Use Cases for Service

Monitoring and Diagnostics: Interact with connected products to identify and diagnose product issues remotely to eliminate unnecessary service calls and improve first time fix rate.

Condition-based Predictive Maintenance: Monitor connected product operating characteristics and combine with thresholds, trends, and analytics to move from reactive to proactive maintenance.

Connected Service Parts Planning: Leverage connected product data including configuration, utilization, and location to improve balancing of service level objectives with service parts inventory levels.

Warranty Cost Management: Continually monitor connected product usage to identify and prevent potential warranty compliance issues; automatically notify operator when compliance issues occur to avoid potential product failures and reduce warranty cost.

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#diagnostics
#predictive_maintenance
What Predictive Maintenance Programs Create?

Predictive maintenance programs create the following benefits:

5-10% cost saving in operations and MRO material span
10-20% increased equipment uptime and availability
5-10% reduced overall maintenance costs
20-50% reduced efforts on maintenance planning time

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#monitoring
#predictive_maintenance
How Monosens Help Factories?

Monosens makes it possible for factories to implement a predictive maintenance system cheaper and in large scale not only for high-value assets but also for all machines in the factory, which have an important task. In addition to delivering the predictive maintenance services based on AI, Monosens introduce the best spare parts suppliers and maintenance services to factories in order to reduce unplanned downtime and repairing costs.

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#monosens
#AI
#spare_parts_suppliers
#predictive_maintenance
Benchmarking aftermarket performance

In some industries, the aftermarket lifetime value of the aftermarket is almost equal to the price of the initial product; in other industries, players struggle to capture any aftermarket revenue.
Source: McKinsey


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#aftermarket
#aftermarket_services
#aftermarket_revenue
Six Core Dimensions of Maintenance

1- REACHABILITY
There are more and less convenient times for maintaining an asset.

2- CASCADED DAMAGE
The failure of a single part can cause damage to a wider system.

3- QUALITY
Assets progressing towards failure endanger production quality levels.

4-EQUIPMENT LOGISTICS
Maintenance requires preparation such as ordering of parts or deployment of
tools.

5-INTERDEPENDENCE
Unplanned maintenance can lead to substantial downtimes and jeopardize productivity.

6-SAFETY
Breakdown of an asset may directly or indirectly jeopardize the safety of the
process.

Source: Deloitte

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#monosens
#aftermarket
#aftermarket_services
#aftermarket_revenue
IoT Use Cases for Customers

The owners, operators and solution providers of increasingly complex and connected things are looking for new ways to improve operational performance and employee satisfaction, increase product uptime, and gain a better understanding of their business.

Usage and Performance Dashboard – Enable customer to monitor and track the usage and performance of their products or benchmark with anonymized peers to optimize the value they extract.

Customer Self-Service – Enable customers to quickly diagnose and resolve issues themselves by suggesting actions based on connected product data to maximize product availability.

Product Personalization – Enable personalization capabilities by allowing users to remotely add features or change parameters to enhance their user experience and product performance.

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#monosens
#operationalـperformance
#personalization
#IoT
How Monosens Help Spare Parts Suppliers?


Imagine you are a bearing supplier and every month you distribute many bearings with different sizes and brands to local retailers.
To manage your inventory cost and prevent overstocking or understocking you should know how many bearings will need your customers in the next months.

Monosens tell you how is the condition of machines and their bearings around you, regionally and globally. By having this real-time data, Monosens estimate the remaining lifetime of these machines and their parts and tell you which one and when should be replaced.

This is not the end of what Monosens do for you, but also you will be connected to factories or the owners of these machines for giving them the best price and delivering time of spare parts which need to be replaced.


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#monosens
#IoT
#AI
#Inventory_management
#pedictive_maintenance
Monosens main focus

Monosens focuses on implementing IoT technology in industrial fields in large scale with lower costs. In recent years, most industries have tried to equip only their critical machines with smart sensors because of the high price of sensors and IoT services. Today thanks to the advent of new services such as cloud computing, cheap sensors and other factors, all barriers for digitalizing most industries have been eliminated.

Monosens tiny sensors collect some information such as health information of machines and their parts to use this info for many purposes such as marketing and maintenance services. this is the first time that marketing teams around the world can use such technical data to create a long-term relationship with their customers because by having this information they can know what their customers need in advance. In other words, they can predict the market demands.


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#monosens
#IoT
#digitalizing
#maintenance
Challenges in the aftermarket services

Equipment manufacturers continue to face significant ongoing challenges when transitioning to the aftermarket services space. Monosens has focused on two parts of these challenges including understanding customer needs, and proactive mindset.

For some equipment manufacturers, a significant part of their revenue is coming from aftermarket services and they need to stay competitive in this part of their business.


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#monosens
#aftermarketparts
#manufacturing
#predictive_maintenance
How Monosens can help the clean energy sector?

Wind turbines are one of the clean energy sectors which can be monitored by the Monosens platform to detect early-stage failures related to their mechanical parts. Gears, bearings, and shafts in these giant machines are prone to be failed which causes reducing energy production or in the worst scenario stopping energy production. Thanks to their high altitude of these machines, installing one wireless gateway would be enough for Monosens sensors to collect data in a large wind farm. wireless sensors would be the best option for monitoring these machines as accessing and inspecting the health of them would not be easy

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#monosens
#cleanenergy
#IoT
#predictive_maintenance
#renewables
Maintenance Strategies on an Industrial Scale

Depending on assets, costs and technical sophistication, a broad spectrum of maintenance strategies can be applied.

These strategies range from mere reaction to failures to highly evolved systems optimizing maintenance efforts for groups of assets.

Source: Deloitte

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#monosens
#maintenance
#condition_based_maintenance
#maintenance_strategies
#preventive_maintenance
#proactive_maintenance
#reactive_maintenance
Industrial Inventory Management

Inventory management is one of the main aftermarket challenges for OEMs. Balancing supply and demand to ensure optimum availability of parts is complicated because breakdowns occur randomly. OEMs attempt to resolve this problem by maintaining a high percentage of obsolete inventory, yet they still struggle to ensure parts availability for customers.

A key step in improving parts availability is to shift away from using historical sales performance to gauge demand. Instead, OEMs should find ways to analyze real-time data on customers, their products, and their buying behaviors to improve forecast accuracy.

OEMs can leverage the power of predictive models against real-time data to get the best idea of what parts to stock (and how much) at any given time.

@monosens

#monosens
#Inventory_control
#mentory_management
#management
#manufacturing
#predictive_maintenance
#supply_chain
Monosens will work closely with the DMZ

Throughout the 18-month customized program, Monosens will work closely with the DMZ in it’s house experts and programs team to fast-track our growth.

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#DMZ
#RyersonDMZ