Servigistics 13.1 Release Notes
Servigistics 13.1 Release Notes
These are the key highlights for the feature functionality introduced in the Servigistics 13.1 line.
Forecasting
◦ Machine Learning Best Fit Integration: The Machine Learning-based forecast algorithms (PAI 5.0) are now fully integrated in Servigistics Best Fit Forecasting.
◦ Reduced Forecast Method Churn In Best Fit Analysis: A new forecast parameter was introduced which reduces churn in Forecast Method changes.
◦ Enhanced SKU Overrides: Greater flexibility for adjusting SKU forecasts to fit various Sales, Inventory and Operations Planning (SIOP) scenarios.
◦ Aggregated Forecast Review: The Forecast Review page now displays aggregated monetary value for better SIOP analysis.
◦ Enhanced Outlier Management: Outliers are automatically cleaned up based on Forecast Parameter settings.
◦ Replacement Rate Forecast Variability: Replacement Rate Forecast was enhanced to derive the child part variability from the parent parts.
◦ Improved Forecast Worksheet Usability: Enhanced visibility for top contributing locations in forecasts.
Inventory Optimization
◦ Enhanced Scenario Budget Reporting: Additional time-phased metrics to support SIOP with better visibility into financial and operational projections. Added support for comparing multiple scenarios.
◦ Expanding Scenario What-If Modeling: General availability of What-If Modeling with new capabilities to simulate forecast, price, and carbon tax changes, in addition to SKU data such as lead times, wash rates, and costs.
◦ Sustainability Modeling and Optimization: Enhanced sustainability modeling and optimization to minimize carbon impact of the service supply chain.
◦ Inventory Optimization Cost: Introduced the ability to choose the cost used in optimization to achieve financial objectives or minimize carbon impact.
◦ Customer Order Size Calculation: Added an AutoPilot process for calculating Customer Order Size used in line fill rate optimization, with configurable demand streams and outlier management.
◦ Enhanced Rotable Pooling Optimization: Added maximum pool wait time targets to guarantee on time part availability.
◦ Improved User Experience: Location Summary and SKU Summary pages have improved approval workflow, filtering, and column setting.
Supply Planning and Planner Workflow
◦ Vendor Capacity and Multi-Vendor Support: Introduces the ability to add a monthly limit that can be procured or repaired from vendors. Multiple vendors can be utilized in priority order.
◦ Plan Intelligence: A new feature on the Interactive Planner Worksheet that provides guidance and suggests best practices and root causes for common planning issues such as resolving shortages, vendor issues, and demand misses.
◦ Order Spreading: Introduces the ability to spread a large order over time before vendor closure to reduce logistical impact.
◦ Backorder Categorization: Added additional subcategories to better identify the causes of backorders, such as vendor delays or under-forecasted demand.
◦ Order Sizing: Improves application of order sizing rules to prevent overstocking.
◦ Calendar Adjustments: Calendar adjustments are simplified and depend on the combination of process time, transportation time, and put away time.
▪ Added Show Total and Show Subtotal options on the Deployments container.
▪ Improved representation of the Child's Ending Inventory Position over time on Inventory Position Summary and Daily Detail IP report.
▪ Schedule Change Suppression Safety Stock and ROP Minimum / Maximum lines were added to the Time Series Graph.
▪ Time Series Grid calculates the Effective Ending On Hand Good more accurately to reflect the need of child locations.
▪ Reduced page load time.
◦ Alternate Transport Mode (13.1.0.1): An Alternate Transport Mode is accurately selected based on backorder prevention when Time-Phased ROP is enabled.
◦ Order Explanation Report (13.1.0.1): Introduced a report to provide explanation of the sequence of decisions made during the Generate Order Plan AutoPilot process for each day.
Pricing
◦ Configurable Price Offsets: Introduction of ‘Custom Offset’ mode allowing new prices generation based on user-defined offsets.
◦ Part Kit Pricing: Upgrades to kit pricing include the use of all price buckets, incorporation of new component part prices, and a review reason to alert users of outdated part kit prices.
◦ Price Feedback Management: Price feedback from dealers can now be captured and managed within the application.
◦ Elasticity Estimation: Price Volume equation was updated to achieve more accurate estimation of elasticity along with other usability improvements.
◦ Pricing Policy Documentation: Improved online help with clearer definitions for the Policy Details — Diagnostic Reporting page.
General Usability
◦ Toolbar Improvements: The main toolbar on many of the pages was enhanced to improve workflow, accessibility, and readability.
◦ Go To Menu Improvements: Context specific linking with external applications, PAI dashboards, and Servigistics pages is now available on the Interactive Planner Worksheet, Forecast Review page, and Pricing Worksheet.
◦ Best Practice Workflows: A section called Best Practice Workflows was added to the online help. This is where you will find step-by-step workflows for the common tasks that a user performs. More workflows will be added to this section in the next release.
◦ FAQs: A section called FAQs was added to the online help. This is where you will find the beginning of a consolidation of frequently asked questions with links to the corresponding workflow. More entries will be added to this section in the next release.
◦ Integration Enhancements: Added new Web Services for importing data.
Performance Analytics and Intelligence
◦ Demand Miss Analysis Dashboard Improvements: Added new subcategories to better identify the causes of backorders, such as vendor delays or under-forecasted demand.
◦ Fill Rate Analysis and Service Group Fill Rate Detail Dashboard: Added Unplanned Missed, Total, Total Line, and Unplanned Line Missed. Additional Improvements done in filtering and usability.
◦ SKU Supply Chain History Dashboard: Several new fields and graph improvements were added to accurately analyze historical daily supply chain inventory balance, shortage, excess situations, and their root causes.
◦ Improved Forecasting Dashboards Workflow: Guided navigation from System or Part level dashboards to SKU level dashboards.
◦ New ML Time Series Forecasting Algorithm: XG-Boost method was added to the machine learning based forecasting ensemble.
◦ ML Based Multivariate Forecasting: Any economic factor or non-demand based attribute can be used in addition to demand for time series forecast. Additional dashboard helps analyze the significant attributes impacting forecast.
◦ Remaining Useful Life (RUL) Prediction: Machine learning based RUL (time to failure) prediction of serialized items based on utilization and/or sensor data is available for evaluation.
◦ Forecast Override Intelligence: Machine learning based recommendation against potentially detrimental forecast overrides.
◦ Regional MTBF Improvement: Easy switch between MTBF and Failure Rate on analytic dashboards.
◦ On-Premises ML Deployment: On-premises customers can utilize Servigistics ML functionality without the Data Science Workbench.
◦ Data Science Workbench: Upgraded to the latest version of Zeppelin to better support secure creation of custom use cases.
◦ Intellicus Self-Serve Analytics: Upgraded to the latest version of Intellicus.
◦ Vendor Prioritization and Performance: Added a new dashboard to assist prioritizing vendors based on a Service Impact score.
◦ Vendor Forecast: Added a new dashboard for vendor collaboration process to share Vendor capacity, Procurement and Repair Orders projection.
Global Settings
These are the global settings that were added, updated, or deprecated in the Servigistics 13.1 line.
New Global Settings
Updated Global Settings
Deprecated Global Settings
◦ IO_CALCULATE_SUSTAINABILITY
◦ PRC_PRICE_ACTION_GATEWAY_APPLY_PRICE_OFFSETS
Previous Releases
Refer to the PTC Reference Documents web site for release notes for all previous releases.
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