Measure MAD, MSE, MAPE, Bias, and Tracking Signals; Review Forecast Method Performance

The Subject

Forecasting, Inventory, Supply Chain, and Logistics

Explore the Activities

TSK-000980 · Academic analytical method

Measure MAD, MSE, MAPE, Bias, and Tracking Signals; Review Forecast Method Performance

Evaluate Forecast Accuracy and Bias

Recorded preparation

TSK-000634 · Control requirements

Authoritative Master Data

Manufacturing Scheduling and MOM/MES Evaluation

Define Master Data and Scheduling Rules

Case: Manufacturing Scheduling and MOM/MES EvaluationProject: Manufacturing Scheduling and MOM/MES Evaluation

Application context. How do demand and lead-time uncertainty affect inventory and material movements?

TSK-000036 · Method

Built Filtration Demand Model Using Acetator Logs, Production History, Product Filterability, Filtration Supplier Technical Trials, VCF Trends, and Peak-Demand Scenarios.

Filtration Demand and Capacity Modeling

Analyze Fouling, Cleaning and Membrane PerformanceModel Filtration Demand and Peak CapacityAnalyze Throughput, OEE and Process Performance

Case: Filtration Demand and Capacity ModelingProject: Ceramic Crossflow Filter System + Ion Exchange Trial

Application context. How do demand and lead-time uncertainty affect inventory and material movements?

TSK-000098 · Method

Developed Line Layout, Equipment Specification, Utility Coordination, Warehouse-Flow Model, Labor Plan, Civil/Facility Upgrades, Controls Architecture, and Capital Budget

Lines 1 & 2 Bottling Expansion

Develop Production-Line Layouts and Resource PlansIntegrate Filling, Packaging and Conveyor EquipmentIntegrate Packaging-Line Utilities and SanitationCoordinate Facilities Around Production-Line InstallationCoordinate Warehouse Capacity and Material Flow

Case: Lines 1 & 2 Bottling ExpansionProject: Lines 1 & 2 Bottling and Packaging Lines

Application context. How do demand and lead-time uncertainty affect inventory and material movements?

Related Capabilities

• Develop Forecasts and Scenario AnalysesApplication relationship
  Why these connect

  Evaluate forecast accuracy and bias connects with develop forecasts and scenario analyses. Connect forecasts and service needs to ordering, logistics and supply continuity.

• Build Performance Dashboards and Corrective-Action TriggersApplication relationship
  Why these connect

  Evaluate forecast accuracy and bias connects with build performance dashboards and corrective-action triggers. Connect forecasts and service needs to ordering, logistics and supply continuity.

• Apply Statistical Concepts to Delivery PerformanceApplication relationship
  Why these connect

  Apply statistical concepts to delivery performance connects with evaluate forecast accuracy and bias. Connect structured problem solving, statistical methods and operational governance.

• Track Commitments, Actuals and Completion ForecastsApplication relationship
  Why these connect

  Track commitments, actuals and completion forecasts connects with evaluate forecast accuracy and bias. Connect financial controls to data definitions, forecasts and traceable records without publishing expenditure amounts.

Related Case Studies

• Filtration Demand and Capacity ModelingApplication relevance
• Lines 1 & 2 Bottling ExpansionApplication relevance
• Manufacturing Scheduling and MOM/MES EvaluationApplication relevance

Related Projects

• Ceramic Crossflow Filter System + Ion Exchange TrialApplication relevance
• Lines 1 & 2 Bottling and Packaging LinesApplication relevance
• Manufacturing Scheduling and MOM/MES EvaluationApplication relevance

Related Workstreams

• OT Network and Controls TransformationApplication relevance
• Production and Packaging ModernizationApplication relevance
• Wine Clarification and Vinegar Polishing ModernizationApplication relevance

Related Artifact Types

• Demand Forecasting and Forecast ErrorAnalytical decision brief
• Forecasting, Inventory, Supply Chain, and Logistics — Application ReviewCapability application review

All Portfolio Connections