Supply Chain Operations Reference (SCOR) Model

Supply Chain Operations Reference (SCOR) Model

🔥 Initially developed in 1996 by management consulting firm Pitiglio, Rabin, Todd, and McGrath (PRTM), the Supply Chain Operations Reference (SCOR) model gained endorsement from the Supply-Chain Council, part of the Association for Supply Chain Management (ASCM), and underwent evaluations by industry leaders like Intel, IBM, Rockwell Semiconductor, and Procter & Gamble. The latest iteration, SCOR 12.0, was introduced in 2017 by ASCM, covering topics such as omnichannel, metadata, and blockchain.
The SCOR model provides a standardized approach to understanding and improving supply chain processes across industries, and serves as a comprehensive framework for effective analysis, design, and management of supply chain operations.

Key Components of SCOR

Hereunder are the key components of the SCOR model:

CORE PROCESSES: The SCOR model outlines six core processes encompassing all aspects of supply chain management. These processes are further divided into specific activities and metrics to facilitate analysis and improvement.
- Plan: This process involves creating a strategy for the supply chain, including forecasting demand, determining production schedules, and optimizing inventory levels to meet customer requirements efficiently.
- Source: The source process focuses on selecting suppliers, negotiating contracts, and managing relationships to ensure the timely and cost-effective acquisition of goods and services.
- Make: In the make process, raw materials are transformed into finished products through manufacturing and assembly operations. This includes activities such as production scheduling, quality control, and maintenance.
- Deliver: Deliver encompasses the activities involved in delivering products to customers, including order management, transportation, warehousing, and distribution. The goal is to ensure accurate and timely delivery while minimizing costs and maximizing customer satisfaction.
- Return: The return process manages product returns and reverse logistics, including handling defective or unwanted products, processing returns, and managing repairs, refurbishments, or recycling.
- Enable: The enable process includes activities that support and optimize the other core processes, such as supply chain planning, performance measurement, technology integration, and workforce development. Its aim is to enhance the efficiency and effectiveness of supply chain operations overall.
METRICS: The SCOR framework defines more than 250 standardized metrics, classified into five key performance attributes: reliability, responsiveness, agility, cost, and asset management efficiency. These metrics enable businesses to define supply chain requirements by determining which performance attributes to emphasize and where the organization can operate at a standard pace.
Here are some examples of SCOR metrics:
- Reliability: The ability to perform tasks as expected. The reliability of a supply chain is measured by how well it meets the customer’s demand. Typical metrics for the reliability attribute include on-time delivery, fill rate, perfect order fulfillment, and quality, etc.
- Responsiveness: The speed at which tasks are performed. The responsiveness of a supply chain is measured by how fast it provides products to the customer. Examples include cycle-time metrics, such as order fulfillment cycle time, production cycle time, and cash-to-cash cycle time.
- Agility: The ability to adapt to changes in demand or supply. The agility of a supply chain is measured by how well it responds to market opportunities or disruptions. Examples include flexibility metrics, such as upside supply chain flexibility, upside production flexibility, and overall value-at-risk.
- Costs: The expenses associated with operating a supply chain. The costs of a supply chain are measured by how efficiently it uses its resources. Examples include cost metrics, such as cost of goods sold, cost per shipment, cost per warehouse pick, and total supply chain management cost.
- Asset Management Efficiency: The ability to effectively utilize assets. The asset management efficiency of a supply chain is measured by how well it manages its capital and inventory. Examples include asset metrics, such as inventory days of supply, inventory turns, cash-to-cash cycle time, and return on supply chain fixed assets.
BEST PRACTICES: The SCOR model identifies best practices for each process and performance metric based on industry research and benchmarking data. These best practices serve as guidelines for organizations seeking to improve their supply chain performance. All practices have links to one or more processes, one or more metrics and, where available, one or more skills. SCOR Practices are classified by area of interest:
- Business Process Analysis/Improvement
- Customer Support
- Distribution Management
- Information Management
- Inventory Management
- Material Handling
- New Product Introduction
- Order Engineering (ETO)
- Order Management
- People Management (Training)
- Planning and Forecasting
- Production Execution
- Product Lifecycle Management
- Purchasing/Procurement
- Reverse Logistics
- Risk/Security Management
- Sustainable Supply Chain Management
- Transportation Management
- Warehousing
Examples of best practices: Demand Forecasting Accuracy, Supplier Collaboration, Inventory Optimization, Sales and Operations Planning (S&OP), Lean Manufacturing, Cross-Functional Training, Supplier Scorecards, Risk Management Strategies, Total Cost of Ownership (TCO), Root Cause Analysis, etc.
Benefits:
- BENCHMARKING: SCOR provides a framework for benchmarking supply chain performance against industry standards and peers. This allows organizations to identify areas of strength and areas for improvement relative to their competitors.
- Implementation Guidance: The SCOR model offers guidance on how to implement and integrate supply chain processes within an organization. This includes recommendations for organizational structure, technology adoption, and collaboration with supply chain partners.
- Continuous Improvement: SCOR emphasizes the importance of continuous improvement in supply chain operations. Organizations are encouraged to use the model to identify opportunities for optimization and innovation to stay competitive in a dynamic business environment.

Overall, the SCOR model serves as a valuable tool for organizations to optimize their supply chain operations, improve performance, and drive strategic growth initiatives. By providing a standardized framework, metrics, and best practices, SCOR enables organizations to achieve greater efficiency, agility, and customer satisfaction.

Sources:
What is SCOR? A model for improving supply chain management (2024), CIO. (n.d.). Retrieved February 15, 2024.
APICS. (2017). Quick Reference Guide SCOR.