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Manufacturing Analytics Provided Insights to Spot Business Process Improvements Opportunities

[/vc_column_text][vc_column_text css=”.vc_custom_1764767334420{margin-top: 0px !important;margin-bottom: 35px !important;}” el_class=”text-block”]Established in 1997, the client is a world leader in developing and commercializing first-or-best-in-class therapies for rare genetic diseases. Headquartered in California, US, the client has operations spread across 20+ countries and has 2500+ employees worldwide.[/vc_column_text][vc_column_text css=”.vc_custom_1764766829242{margin-top: 0px !important;margin-bottom: 35px !important;}” el_class=”text-block”]

Background

[/vc_column_text][vc_column_text css=”.vc_custom_1764764771312{margin-top: 0px !important;margin-bottom: 20px !important;}” el_class=”text-block”]An american biotechnology company had implemented analytics solutions that provided visibility into actual and historical data on finance, supply chain, and purchasing business processes. However, these solutions did not provide visibility into manufacturing data to enable the manufacturing team to identify bottlenecks and improve processes.[/vc_column_text][vc_column_text css=”.vc_custom_1765784237045{margin-top: 0px !important;margin-bottom: 35px !important;}” el_class=”text-block”]An american biotechnology company had implemented analytics solutions that provided visibility into actual and historical data on finance, supply chain, and purchasing business processes. However, these solutions did not provide visibility into manufacturing data to enable the manufacturing team to identify bottlenecks and improve processes.[/vc_column_text][vc_column_text css=”.vc_custom_1764766864452{margin-top: 0px !important;margin-bottom: 35px !important;border-top-width: 0px !important;padding-top: 0px !important;}” el_class=”text-block”]

DiLytics’ Solution

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DiLytics implemented a solution on Oracle Analytics that involved:

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• Phase I: Oracle Manufacturing Analytics was installed, set up, and configured and out-of-the-box data was loaded from Oracle E-Business Suite (EBS) and Oracle Advanced Supply Chain Planning (ASCP)
• Phase II: Out-of-the-box Discovery and Requirements Gathering – capture business requirements for use of Manufacturing Analytics by the manufacturing team. Detailed design, development, and testing of Oracle Manufacturing Analytics to implement and deploy the product based on users’ business requirements
• Phase III: Subsequent rollouts to address requirements not implemented in Phase II

[/rt_list_style][vc_column_text css=”.vc_custom_1764767204092{margin-top: 0px !important;margin-bottom: 10px !important;}” el_class=”text-block”]The solution enabled the analytical insights in the following areas for the client:[/vc_column_text][rt_list_style list_style=”seven” list_content=”

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• Production Batch Transactions
• Indented BOM (Bill of Material)
• Material Usage Variance
• Material Transactions
• Where Used
• Routing Details
• Material Aging
• Scrap
• Inventory Expiration
• Inventory Adjustments
• Real-Time Inventory
• Zero Stock
• Stock Out

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Business Benefits

[/vc_column_text][vc_column_text css=”.vc_custom_1764765906627{margin-top: 0px !important;margin-bottom: 10px !important;}” el_class=”text-block”]Key business benefits to the client included:[/vc_column_text][rt_list_style list_style=”seven” list_content=”

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• Availability of insights to manufacturing supervisors and executives to spot business process improvements opportunities due to visibility into additional areas not captured currently or correctly
• Visibility into the latest production data on shared dashboards for all stakeholders in the manufacturing process
• Alignment of multiple organization functions along consistent definitions and calculations for metrics and data points
• Enablement of manufacturing supervisors to redirect their efforts efficiently towards optimizing production operations
• Ability to respond to changes in manufacturing operations for executives and supervisors with availability of automatic alerts on conditions and criteria defined
• Savings in manual effort spent by manufacturing supervisors in deriving manufacturing reports

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DiLytics Delivers

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