Connecting data, machines and people
Lifecycle Care is our comprehensive and systematic approach to maintenance, supported by world-class digital tools and processes. We deliver Lifecycle Care in Real Time by connecting data, machines and people. We use real-time visibility of comprehensive maintenance and usage data combined with our knowledge and experience to deliver safety and productivity improvements to our customers.
Inspections and preventive maintenance identify risks and improvement opportunities, and support compliance with regulations and standards.
Predictive maintenance utilizes condition monitoring, advanced inspections and data analytics to predict component or equipment failure.
Corrective maintenance and retrofits address safety and productivity issues and capitalize on improvement opportunities.
Consultation services guide decision making and uncover critical issues, using advanced technology and trained specialists when a deeper look at a crane and its components is required.
Modernization services prolong the economic service life of equipment and achieve increased capacity, speed, duty or load control.
New equipment for providing new or replacement equipment such as hoists and light lifting systems.
Highest Lifecycle Value
Lifecycle Care in Real Time is designed to maximize the productivity of uptime and minimize the cost of downtime, thereby achieving the highest lifecycle value for our customers' equipment.
Delivering Lifecycle Care in Real Time
In the field, our mobile-enabled inspectors and technicians enter inspection and maintenance data following the Risk and Recommendation Method, using our proprietary MAINMAN software.
On the back end we have interconnected systems and processes to provide transparent and shared information to support service activities.
The Konecranes STORE provides quick and easy access to parts and manuals to both technicians and customers.
Our customer portal – yourKONECRANES.com – provides visibility to usage data, maintenance data and asset details. Aggregated data can be viewed, analyzed and shared quickly, for a single asset or an entire fleet. Insights can be drawn by observing anomalies, patterns and trends, helping users make informed maintenance decisions.
Anomalies can show up as faults, such as overloads. These events are considered abnormal and should be addressed promptly as they occur. Knowing when an overload occurs is the first step in identifying its cause.
Patterns help reveal relationships between variables. For example, overload or emergency stop alerts or excessive starts may indicate the need for operator training aimed at reducing human-error downtime and the risk of safety incidents. Recurring motor overheats may indicate needed changes in equipment or process.
The study of trends can help prioritize corrective action and investments. Analyzing data behavior over time supports the development of predictive maintenance.
When delivering Lifecycle Care in Real Time, we use a consultative approach to help guide decision making. We share our findings with our customer, provide recommendations, and follow a systematic process to achieve high quality and consistency.
After delivery of service we measure our customers' experience with Voice of Customer. This allows us to react to customer needs and use feedback to improve products and services.