Add New Dimensions to Equipment Maintenance
Maintenance professionals in today’s highly competitive manufacturing industry face constant pressure to maximize machine availability for uninterrupted and quality production. Unplanned downtime even in one machine for a single day can result in losing customers to competition, adversely affecting the company’s bottom line and reputation. For the same reason, typical manufacturing facilities are now transforming into smart factories, that bank on disruptive technologies for timely and efficient maintenance. Digital document storage, AR-guided training and remote maintenance, and IIoT-powered predictive maintenance and automated spares ordering are leading to new equipment maintenance paradigms. The result is an intelligent and connected ecosystem where downtime is minimal, operational costs are optimized, redundant processes are automated, and operational efficiency is at its peak.
Challenges Faced in Machine Maintenance
Poor document management encompassing inefficient routing and tracking, misplacing and losing critical paper-based documents, inept revision control, and siloed maintenance.
Inadequate local maintenance expertise and widening skill gaps that result in long hours of production downtime before the equipment manufacturers reach the worksite to rectify the issue.
Relying on either run-to-failure strategy to maximize the useful life of parts or early replacement method to ensure uptime. Both strategies lead to catastrophic outcomes, such as downtime and disrupted operations.
Assumptions-based spare parts management resulting in either procurement delays and prolonged downtime, or unnecessary build-up of spares inventory leading to obsolescence.
Difficulties in monitoring the conditions of machine parts in remote locations that are difficult for regular technicians to access without dismantling.
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How IIoT, AR, and Big Data are Giving Rise to Smart Factories
A cutting-edge solution that entails cloud-based document storage, automated spares management, AR-guided remote training, and IIoT-based data collection can beat the pressing issues plaguing equipment maintenance in manufacturing today.
Cloud-Based Document StorageBy scanning machine-specific QR codes through tablets, maintenance personnel can view detailed product descriptions and other crucial details.
AR-Guided Training and Remote MaintenanceMachine maintenance teams can schedule service requests and avail remote assistance from manufacturers through AR-powered video chats.
Automated Spare Parts ManagementThe solution also enables users to analyze the condition of parts, place replacement orders for parts nearing failure, get quotes, create purchase orders, and track shipment status.
Preventive and Predictive Equipment MaintenanceSensor-fetched machine metrics are compared with historical data based on fault detection algorithms to trigger alarms when deviations occur.
- Reduced unplanned downtime by identifying equipment defects in advance.
- Easy access to machine details in a central repository at a button’s click.
- Improved overall equipment effectiveness (OEE) and process efficiency achieved by leveraging intelligent machine data derived from disparate sources.
- Enhanced safety for maintenance professionals.
- Improved quality, reliability and yield.
- Reduced production and operational costs.
- Seamless and clear training to maintenance professionals remotely through live videos and 3D models.
- Timely and precise procurement of spares from suppliers.
How Fingent can help?
Fingent helps you leverage emerging technologies in innovative ways to redefine your business processes. With a dedicated team of engineers who stay abreast of the latest technologies and agile methodology of development, we convert out-of-the-box concepts of our clients into solutions with ease.
CONSISTENT HIGH-QUALITY RESULTS
- Top-notch developers
- Dedicated quality assurance team
- Adherence to QA best practices
- Agile development process
COST-EFFECTIVE SOLUTIONS WITHIN BUDGET
- No surprises
- Efficient operations
- Good coding practices
- Expertise in latest technologies
PREDICTABLE RESULTS ADHERING TO DEADLINES
- Transparent project management
- Warranty-assured deliverables
- Carefully defined project plans
- Staffed to handle unexpected challenges