Manageify

Identifying defects and finding the proper resolutions in manufacturing environments are the key aspects of defect management. Analyzing defects as data allows continuous quality improvement by using Defect Management Analytics. In order to direct effort toward process improvement, defect management seeks to classify defects into categories and identify possible causes.

Additionally, it provides machine defect information month by month, which facilitates continuous quality improvement. Get ahead of the game with our forward-looking risk predictors and real-time risk monitoring that enables risk professionals to address evolving threats proactively and improve visibility.

The way it works

• Utilizing Defect management analytics analyze the percentage of current year’s defects compared to previous year’s defects.Provides real-time in-transit visibility with risk monitoring, analyzes network risks, and provides predictive analytics at the shipment level for logistics.
• Our predictive analytics help our clients increase on-time delivery.We assess and monitor strategic and operational risks to their extended supply networks.
• Receive prescriptive risk insights at the node and shipment level, so you can optimize strategic inventory planning while reducing your carrying costs. assess and monitor network, location, and lane-specific risks, using one of the industry’s most comprehensive real-time risk intelligence networks.

How will your organization benefit from Manageify?

• Monitoring and assessment of network risks. We assess and monitor the strategic and operational risks to their extended supply networks.
• A comprehensive real-time intelligence network for managing risk. A pair of data sources provides us with the ability to monitor physical and network risk at the network, location, and lane levels as well as providing us with the most robust real-time risk intelligence network in the industry.
• Rejected finished Product in Defect Management Analytics serves the management as a data which helps identify the root cause for defects.

Defect management Analytics helps in analyzing the number of the Defect occurrences. It also helps in keep tracking plant wise machine defects which helps in Optimizing business decisions involving inventory and maintenance budgeting.

Analyse the average of machine wise current year’s defects and previous year’s defects using Defect management Analytics. It also provides monthy wise machine defects which helps in continuous quality improvement.

Overall Defect management Analytics provides the Rejected – Finished Product as a data which helps the management to identify the root cause for defects.

Analyze the Lot Quantity based on the various usage decisions which helps the management to understand the various contributions of lot quantity.

Analyze the year-on-year Hold Cases. Defect management Analytics compares Current year vs Previous Year Hold cases which helps managmenet to make right decisions.

Analyze the various material type and material wise defects using Defect management Analytics.

Helps improvise relationship with customers in the digital Age. Keep your customers updated with order notifications, shipping alerts, product demonstration videos