Preventive Maintenance

In this preventive maintenance case study, a laboratory and healthcare furniture leader partnered to deploy configurable checklist assignment, escalation matrix workflows, scheduled preventive maintenance and real-time dashboards, reducing equipment downtime by ~40% and improving AMC compliance and visibility.

Client

Kewaunee

Platform

Web and Mobile

Industry

Manufacturing

Technology

Angular, Node JS, React Native, Azure

60%

Improved Real-time Monitoring

70%

Improved Overall Visibility

75%

Reduced Unplanned Downtime

80%

Improved Reporting Efficiency

About

Our client is a global leader in the design, manufacture, and installation of laboratory, healthcare, and technical furniture products. They manage service for multiple labs under Annual Maintenance Contracts (AMCs) with a leading petrochemical major. This preventive maintenance case study focuses on the operational challenge of keeping critical lab equipment maintained on schedule across many sites and suppliers.

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Business Challenges

Critical equipment downtime risk: Missed preventive maintenance led to unscheduled failures and costly lab disruptions.

Irregular maintenance scheduling: Manual tracking caused inconsistent maintenance frequency and missed checklists.

Lack of accountability & escalation: Tasks and reported issues lacked systematic escalation, so problems lingered unresolved.

Checklist management complexity: Varied equipment types required different checklists, frequencies, and role assignments, making standardization difficult.

Limited visibility & reporting: Management had no real-time view of checklist completion, equipment health, or AMC compliance, hindering forecasting and contractor oversight.

Solution

To address these challenges we delivered a preventive maintenance application with the following capabilities:

Configurable checklist assignment: Define equipment-specific checklists, map them to roles, and link them to AMC requirements so preventive maintenance tasks are repeatable and auditable.
Escalation matrix workflow: Automated escalation rules ensure missed tasks or unresolved issues move up the chain until closed, increasing accountability.
Scheduled preventive maintenance & alerts: Automated schedules with reminders and overdue notifications keep teams on time and aligned with AMC SLAs.
Real-time monitoring dashboard: Management can instantly see checklist status, equipment health trends, and maintenance compliance across labs.
AMC & compliance tracking: Reports show inspection trends, service provider performance, and AMC adherence for stakeholders and auditors.

Our Approach

Discovery & Strategy

Conduct in-depth analysis and identified key inefficiencies.

Tech Implementation

Integrated AI-powered tools to steer development activities.

Deployment & Support

Launched the solution and provided continuous support.

Our Steps

Assess

Conduct a comprehensive asset and AMC assessment to map equipment types, priority assets, existing checklists, and failure modes. This baseline is the first move in the preventive maintenance case study approach so schedules and checklists target the highest-risk items.

Configure

Configure the preventive maintenance application: create equipment-specific checklists, assign personnel, set maintenance frequencies, and define the escalation matrix and AMC rules so the system enforces process and compliance.

Automate

Automate schedules, reminders, alerts, and dashboard reporting. Use real-time monitoring and escalation automation so preventive maintenance tasks are executed reliably and management gains continuous visibility.

Outcome

~40% reduction in equipment downtime through proactive preventive maintenance and timely interventions.
Improved schedule compliance thanks to automated reminders and enforced checklists.
Greater accountability via escalation workflows that reduced unresolved issues.
Faster detection of equipment issues, lowering repair costs and preserving lab productivity.
Better reporting and transparency for management and AMC stakeholders, improving operational forecasting and trust.

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