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.
@monosens
#monosens
#monitoring
#diagnostics
#predictive_maintenance
✅ 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.
@monosens
#monosens
#monitoring
#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
@monosens
#monosens
#monitoring
#predictive_maintenance
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
@monosens
#monosens
#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.
@monosens
#monosens
#AI
#spare_parts_suppliers
#predictive_maintenance
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.
@monosens
#monosens
#AI
#spare_parts_suppliers
#predictive_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.
@monosens
#monosens
#aftermarketparts
#manufacturing
#predictive_maintenance
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.
@monosens
#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
@monosens
#monosens
#cleanenergy
#IoT
#predictive_maintenance
#renewables
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
@monosens
#monosens
#cleanenergy
#IoT
#predictive_maintenance
#renewables
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
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