Warehousing, Asset Maintenance and Oracle IoT Cloud Implementation
Client Background
Our client is one of the leading producers, manufacturers and distributors of fresh dairy, fresh juice and long-life milk and juice products in Saudi Arabia.
Business Requirement
Client spent over a million SAR in one quarter in 2022 on maintenance and facing an annual projected spend of 4 million SAR, encountered significant financial strain. Their expenditure highlighted a major issue: 60% of the budget went into corrective maintenance, with 40% allocated to preventive measures. Moreover, in the Department of Vehicle Maintenance, a reverse trend was noted, with 60% of funds directed toward preventive maintenance. Additionally, a lack of visibility into their critical asset utilization further compounded their challenges, leaving them uncertain about the operational status of their assets.
ITOrizon Proposal
ITOrizon brought in ‘Condition-Based’, ‘Predictive’ and ‘Prescriptive’ maintenance strategies into the operational ecosystem thru’ Oracle IoT on top of the current ‘Corrective’ and ‘Preventive’ maintenance strategies.
Oracle IoT Cloud Asset Monitoring was implemented to monitor the condition of the vehicles & machineries across all key maintenance-based attributes be it mass air flow, vibration of key components indicating problems proactively, oil level for preventive maintenance, oil pressure, coolant level, oil viscosity, brake temperature etc.
Utilized Oracle IoT Predictive Maintenance which use sensor data from connected device to help the client monitor, reduce unplanned downtime cost and understand the usage of equipment.
Automation was introduced to sync Maintenance Cloud with the IoT Asset Monitoring application, creating assets in IoT AM for monitoring purposes. Locations defined in Maintenance Cloud were seamlessly transferred to the IoT AM application.
We connected sensors (IoT devices) with various assets, capturing their motion as attribute values. Rules were defined in the IoT AM application for different assets, triggering anomalies, warnings, or incidents based on sensor data. This information was used to create automated Maintenance Work Orders, ensuring prompt maintenance for faulty or underperforming assets.
Additionally, we synchronized the maintenance process with Oracle Fusion Procurement Cloud. Customized dashboards were created to monitor asset utilization and efficiency, providing the client with comprehensive insights into their operations.
Business Outcome:
Real-time Monitoring: Live sensor data enabled comprehensive asset tracking, health assessment, and utilization analysis.
Automated Fault Detection: Anomaly detection streamlined fault identification, improving diagnostic efficiency.
Predictive Insights: Predictive analytics prevented downtime by forecasting future failures and providing prescriptive solutions.
Cost Efficiency: Operational and maintenance costs were significantly reduced, optimizing resource allocation and budget utilization.
Enhanced Uptime and Productivity: Improved asset management and proactive maintenance increased uptime and overall productivity.
Strategic Procurement: Well-managed assets and planned procurement strategies ensured optimal resource allocation.
Resource Optimization: Excess maintenance resources were reduced, enhancing operational efficiency.
Cost Savings: The implementation led to potential savings of 20-40%, highlighting a substantial return on investment for the client.
ITOrizon Inc., a global end-to-end IT supply chain ecosystem service leader based in Atlanta, with offshore locations in India and Dubai, has been helping clients ensure success for more than 10 years. We maximize the value of existing ecosystem investments while outpacing the competition with a human-first service delivery client experience. Industry analysts such as Gartner, ISG, and ARC Advisory have recognized us for our high-performance services team, built to scale and delivering strategic advisory, implementation/integration, digital transformation, and managed support services.
