Package Measurement Rules: The Data Accuracy Imperative

Transcription

1 Packaging Management Council September 12, 2006 Package Measurement Rules: The Data Accuracy Imperative Scott Brown Customer Compliance & GDS Manager Conair Corp Jeanne Iglesias Senior Manager, Supply Chain & Technology

2 GDSN GS1 GDSN (Global Data Synchronization Network) is an automated, standards-based global environment that enables secure and continuous data synchronization, allowing all partners to have consistent item data in their systems at the same time. The Global Data Synchronization Network (GDSN) connects retailers and suppliers, via their selected data pools, to the GS1 Global Registry.

3 GDSN Statistics of Adoption As of 8/11/2006 Registered GLNs 10,038 Registered GTINs 832,620

4 GSMP The Global Standards Management Process (GSMP) is the pre-eminent worldwide collaborative forum where GS1 standards are built and maintained. Since its creation in 2002, GSMP has served as the GS1 System of standards forum. It is an open and transparent process for companies to improve the efficiency of supply chains.

5 The State of Synchronized Data Right now, all of the weight and dimensional data you send me is inaccurate. That s just the nature of physics -- Talvis Hilley, Ahold USA Wegmans audits of 25 Top Suppliers: Total Accuracy Rates: March % August % February % November % July % Current 44% Expanded to all suppliers

6 GS1 US Audits - May 2006 (570 items) All Errors By Type (Progam To Date) Total Error % 50% 45% 40% 35% 30% 25% 20% 15% 10% 5% 0% Transposed Issues Weight Issues Height Issues Width Issues Depth Issues Largest contributor to overall data accuracy is the correction of transposed width and depth at the case level

7 Why is the Data Inaccurate? Inconsistent Measurement Practices Package Measurement Rules Product Changes Not Published GTIN Allocation Rules Improper Measuring Devices Multiple versions of Same Trade Item

8 Why is Accurate Synchronized Data Imperative? Good quality data which is complete, consistent, accurate and standards-based is foundational to collaborative commerce and global data synchronization. Good quality data means that all master data is complete, consistent, accurate, time-stamped and industry standards-based. By improving the quality of data, trading partners reduce costs, improve productivity and accelerate speed to market. Read these downloadable publications: Synchronization: The Next Generation of Business Partnering Data Quality Framework including the Data Quality Protocol An Enterprise Data Quality Framework incorporates: An internal governance process (top down) A data quality management system to help improve the quality of data as published in the network. An assessment procedure to validate the existence and effectiveness of key data management business processes. An inspection procedure to physically validate product attributes.

9 Scott Brown, Customer Compliance & GDS Manager, Conair Corp. Co-Chairman: Data Accuracy Task Force

10 GSMP Data Accuracy Task Force Responding to Nov GSMP Call to Action for Data Accuracy Discovery Pilot Program, the task force set out to develop an acceptable standards-based set of tolerances to be used within the network to ensure a level of data accuracy and to allow business users streamlined processes.

11 Results: Case Dimension Variances Percent Variances 3.00% 2.50% 2.00% Average Variance 1.50% 1.00% 0.50% Average Median Variance 0.00% CRG-CAR CRG-G&C CRG-PAP CRG-PLA Package Types OVR-G&C OVR-PAP OVR-PLA Median Average

12 Results: Case Weight Variances Case Weight Data from Industry Discovery Pilot Percent Variance 4.00% 3.50% 3.00% 2.50% 2.00% Average Variance 1.50% 1.00% 0.50% 0.00% Median Variance CRG-CAR CRG-G&C CRG-PAP CRG-PLA Package Type OVR-G&C OVR-PAP OVR-PLA Median Average

13 Results: Each Dimension Variances Percent Variance Each Dimension Varianes from Industry Pilot Average Variance Median Variance 0 CRG-CAR CRG-G&C CRG-PAP CRG-PLA Package Type OVR-G&C OVR-PAP OVR-PLA Median Average

14 General EAN.UCC Specification Amendment (Effective Date August 31, 2006) Physical products identified by the same GTIN have inherent variability in gross weights and linear dimensions due to manufacturing processes, handling methods, environment and other factors. Tolerances are defined as allowable variations between the STATED (synchronized) and MEASURED (actual) gross weights and linear dimensions of a GTIN. Acceptable tolerances are defined in the tables below (Tolerances for Non Consumer Trade items and Consumer Trade items have been separated into distinct tables): Notes: * Refer to the Best Practice Guidelines for Implementing Tolerances for more information regarding data accuracy guidelines and implementation of tolerances. * Soft paper products in flexible packaging at the consumer and case level are excluded from the above packaging types. * Frozen categories are excluded from the above packaging types. * The proposed Data Accuracy tolerances are not intended to replace parameters within the GTIN Allocation Rules, which identify when a new GTIN must be assigned. * The dimensions and weight tolerances apply only to fixed measure products. Tolerances are not practical for variable measure products (e.g., variable weight products, etc.)

15 Tolerances for Non-Consumer Trade Items (e.g., Case Unit) Outer Package Type Inner Package Type Description Examples Dimensio n Tolerance (+/-) Corrugated Case Cardboard or pressboard box Full enclosed corrugated case containing cartons or boxes Cereal, Games, Puzzles, Mac & Cheese, Facial Tissue, Dog Treats, Length, Width, Height, Gross Weight 4.0% Does not include: Card items Corrugated Case Metal Cans or Glass jars/bottles Full enclosed corrugated case containing cans or glass jars Vegetables, Fruit, Aerosol, Cat & Dog Food, Steak Sauce, and Condiments Length, Width, Height, Gross Weight 4.0% Corrugated Case Rigid Plastic Containers Full enclosed corrugated case containing rigid plastic containers Shampoo, Laundry Detergent, Clam Shells, Baby Wipes, Salad Dressing, Water, Mayo, Ketchup, Beverages, Soups, Beans, Dog Treats, Dish Detergent, Cleaning Products Length, Width, Height, Gross Weight 4.0% Plastic Overwrap Metal Cans or Glass jars/bottles Tray or non-tray product with plastic overwrap containing cans, or glass jars Water, Salad Dressing, Mayo, Ketchup, Beverages, Soups, Beans, Dish Detergent, and Cleaning Products Length, Width, Height, Gross Weight 4.0% Plastic Overwrap Rigid Plastic Containers Tray or non-tray product with plastic overwrap containing rigid plastic containers Vegetables, Fruit, Aerosol, Cat & Dog Food Length, Width, Height, Gross Weight 4.0%

16 Tolerance for Consumer Trade Item (e.g., Shelf Unit) Package Type Description Examples Dimension Tolerance (+/-) Carton Full carton or cardboard box Cereal, Games, Puzzles, Mac & Cheese, Facial Tissue, Dog Treats Depth, Width, Height 0.25 in (7mm) Can or Glass Can or Glass container, completely rigid Vegetables, Fruit, Aerosol, Cat & Dog Food, Steak Sauce, Condiments, Coffee Depth, Width, Height 0.25 in (7mm) Plastic Container Rigid bottle or plastic container, no flexibility Water, Salad Dressing, Mayo, Ketchup, Beverages, Soups, Beans, Detergent, Clam Shells, Baby Wipes, Cleaning Products Depth, Width, Height 0.25 in (7mm)

17 Best Practices Document Provides definition and proper application of standard tolerances Includes detailed procedures for measurement and comparison of data Explains common exceptions that cause data discrepancies Gives recommendations for handling data changes and corrections

18 PMC Involvement Review and comment on Best Practices Document Become Proactive in the Standards Process Participate in validation activities