SCOR Framework for Logistics Performance Management Training Course

Course overview

Logistics teams are often measured through disconnected indicators: on-time delivery, freight cost, warehouse productivity, inventory availability and customer complaints. Without a common process model, managers struggle to distinguish symptoms from root causes, compare site performance fairly, or explain how a local improvement affects end-to-end service. The SCOR framework provides a disciplined way to connect logistics processes, performance attributes, metrics, benchmarks and improvement initiatives across the supply chain.

This course teaches participants to apply the SCOR Digital Standard to logistics and distribution performance management. Participants map Plan, Source, Deliver, Return and Enable activities; define Level 1, Level 2 and Level 3 metrics; build metric hierarchies; set targets; identify performance gaps; and link operational measures to reliability, responsiveness, agility, cost and asset management efficiency. The programme addresses practical measures including perfect order fulfilment, order fulfilment cycle time, cost to serve, inventory days of supply, transportation cost, warehouse throughput and return cycle time.

Instructor-led briefings are combined with worked calculations, logistics case studies, process-mapping workshops and performance-review simulations. Participants use Excel and Power BI examples to turn operational data into SCOR-aligned scorecards and dashboards. By the end of the week, each participant leaves with a completed SCOR logistics performance-management pack: a process map, metric dictionary, KPI hierarchy, baseline-versus-target analysis, dashboard design and 90-day implementation plan suitable for adaptation in their own operation.

The course is designed for logistics, distribution, warehouse, transport and supply chain professionals who need a consistent method for measuring and improving service, cost and flow performance. It is equally useful to managers approving improvement programmes because it equips attendees to make traceable, evidence-based recommendations rather than propose isolated KPI changes.

Course objectives

By the end of this course, participants will be able to:

• Map logistics and distribution processes using SCOR Plan, Source, Deliver, Return and Enable process categories
• Construct a SCOR-aligned KPI hierarchy linking strategic performance attributes to operational measures
• Calculate perfect order fulfilment, order fulfilment cycle time, cost to serve and inventory days of supply
• Develop a metric dictionary defining formulas, data sources, owners, frequency and control limits
• Diagnose performance gaps using SCOR metric relationships, variance analysis and root-cause logic
• Design a logistics scorecard that balances reliability, responsiveness, agility, cost and asset efficiency
• Build a Power BI dashboard prototype from logistics performance data and SCOR metric definitions
• Produce a 90-day SCOR performance-improvement plan with initiatives, owners, milestones and benefits measures

Benefits of attending

Target competencies

Who should attend

• Logistics Managers — who need to connect warehouse, transport and customer-service measures to end-to-end performance
• Distribution Centre Managers — who must improve fulfilment reliability, throughput and operating cost without creating downstream disruption
• Supply Chain Analysts — who build KPI reports and need a recognised framework for interpreting performance gaps
• Transport Managers — who need to manage freight cost, delivery reliability and carrier performance through consistent measures
• Warehouse Managers — who require a structured method to link labour, inventory and order-processing metrics to service outcomes
• Continuous Improvement Leaders — who need a SCOR-based baseline and metric structure for logistics transformation projects

Requirements and prerequisites

Participants should be comfortable with common logistics concepts such as order fulfilment, warehouse operations, inventory, transport planning, supplier delivery and customer service measures. Experience reading operational reports or working with spreadsheet data is helpful, as exercises use basic Excel calculations and KPI tables. Attendees should bring a laptop with Microsoft Excel available; Power BI familiarity is useful but not essential because dashboard exercises use guided examples. This is a foundation-to-intermediate course: prior SCOR certification, statistical modelling, programming, ERP configuration or advanced business-intelligence skills are not required. Complete beginners should expect to spend time learning core logistics process and metric terminology.

Training methodology

The programme uses short instructor-led SCOR briefings followed by applied logistics workshops. Participants map a distribution operation, calculate metrics from order, inventory, warehouse and transport data, and test how metric changes affect performance attributes. A running case study follows a company experiencing late deliveries, high expedites and rising fulfilment cost. Small groups conduct root-cause reviews, define scorecards and present improvement priorities in a simulated monthly performance meeting. The final session converts course outputs into an individual 90-day implementation plan for the participant's workplace.

Course outline

Day 1: SCOR foundations for logistics performance

• SCOR Digital Standard structure and performance-management purpose
• Plan, Source, Deliver, Return and Enable process categories
• SCOR Level 1, Level 2 and Level 3 process decomposition
• Supply chain performance attributes and strategic trade-offs
• Reliability, responsiveness, agility, cost and asset efficiency
• Logistics process boundaries from customer order to proof of delivery
• Current-state process mapping conventions and SIPOC interfaces

Workshop: Participants create a current-state SCOR process map for a multi-site distribution operation and identify its principal hand-offs and performance risks.

Day 2: SCOR metrics and logistics KPI architecture

• Level 1 strategic metrics and benchmark interpretation
• Perfect order fulfilment calculation and component measures
• Order fulfilment cycle time and delivery-response measures
• Cost to serve, transportation cost and warehouse cost metrics
• Inventory days of supply and cash-to-cash asset measures
• Metric trees linking executive KPIs to operational drivers
• Metric dictionary design for formula, source, owner and cadence

Workshop: Participants calculate a SCOR metric set from a logistics data pack and produce a KPI hierarchy with documented definitions.

Day 3: Diagnosing logistics performance gaps

• Baseline, target, benchmark and control-limit setting
• Pareto analysis for service failures and fulfilment defects
• Variance analysis for freight, warehouse and inventory performance
• Root-cause analysis using five whys and cause-and-effect diagrams
• Order segmentation and cost-to-serve analysis
• Carrier, warehouse and supplier performance drill-downs
• Metric correlation traps and leading-versus-lagging indicators

Workshop: Teams investigate a case of declining perfect order fulfilment and produce a root-cause tree supported by metric evidence.

Day 4: Scorecards, dashboards and performance governance

• Balanced SCOR scorecard design for logistics operations
• Executive, tactical and operational dashboard requirements
• Microsoft Excel KPI calculation models and exception flags
• Power BI visuals for trend, variance and drill-down analysis
• Data-quality checks for timestamps, units, master data and missing values
• KPI ownership, review cadence and escalation thresholds
• Monthly performance-review agenda and corrective-action tracking

Workshop: Participants build a SCOR-aligned dashboard prototype and run a simulated logistics performance review using its exception signals.

Day 5: SCOR-led improvement planning and implementation

• Translating performance gaps into SCOR process improvement opportunities
• Prioritisation using impact-effort and benefit-risk matrices
• Improvement options for transport, warehousing, inventory and returns
• Initiative charters with scope, owners, milestones and measures
• Benefits tracking and KPI baselining for improvement projects
• Change-management requirements for metric and process adoption
• Ninety-day SCOR performance-management implementation roadmap

Workshop: Participants complete and present a 90-day SCOR logistics performance-management plan containing priority initiatives, KPI owners, milestones and expected benefits.

Tools & standards covered

ASCM SCOR Digital Standard, Microsoft Excel, Microsoft Power BI, APQC Process Classification Framework

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions