Supply Chain Best Practices
Operational guidance on the most effective practices in supply chain management, with rationale, concrete examples and do/don't guidance for developers and professionals.
Segment the inventory portfolio by criticality and demand behaviour
Apply ABC classification (by value) and XYZ classification (by demand variability) to inventory. AX combination (high value, stable demand) requires rigorous stock optimisation and VMI; CZ combination (low value, volatile demand) can accept simplified policies or elimination. Segmentation enables focusing management effort where the economic impact is greatest.
Do: update the classification at least quarterly, including coverage days and turnover rate by SKU. Don't: apply the same reorder policies to all items regardless of value and demand behaviour.
Design the logistics network based on total cost, not just transport cost
Network design must balance transport costs, warehousing costs, in-transit and safety stock costs, and labour costs. Adding an intermediate DC may reduce transport cost but increase inventory and working capital. Use network optimisation models (MILP) to evaluate alternatives on a TCO basis.
Do: review network configuration every 2-3 years or when there are significant changes in the supplier or customer footprint. Don't: optimise outbound logistics in isolation without considering the impact on inventory at network nodes.
Synchronise S&OP with the financial planning cycle
S&OP delivers full value only when the operational plan is aligned with budget and financial forecast. The S&OP demand plan must translate into a revenue and margin plan; the supply plan must translate into a cash flow and capex plan. Without this alignment, S&OP remains an operational exercise that does not influence key business decisions.
Do: include the CFO or a Finance representative in the S&OP process and use a single demand number shared by Sales, Operations and Finance. Don't: maintain a separate operational S&OP plan and financial forecast that diverge over time.
Use POS data rather than orders as the primary forecasting signal
Orders that partners transmit incorporate distortions (bullwhip effect): panic ordering, lot-sizing policies, promotions. POS (Point of Sale) data reflects actual end-consumer demand. Build the forecast on POS demand and use order visibility as an anomaly signal, not as the primary input.
Do: negotiate POS data-sharing agreements with key customers (CPFR or VMI) specifying update frequency and format. Don't: forecast production solely on orders received from distributors without access to sell-out data.
Geographically diversify the supplier base for critical materials
The 2020 pandemic and the 2021-2022 semiconductor crises demonstrated the risk of single geographic sourcing for critical materials. For each high-risk category (Kraljic matrix: critical or leverage), maintain at least two qualified suppliers in different geographic areas. The additional cost of dual sourcing is significantly lower than the cost of a prolonged disruption.
Do: map tier-2 suppliers (supplier's supplier) for critical categories and include geographic concentration in the supplier risk assessment. Don't: optimise sourcing cost towards a single geographic source without considering concentration risk.
Measure logistics performance with end-result metrics, not activity metrics
Activity metrics (picking lines processed, units shipped) measure operational efficiency but not customer value. End-result metrics (OTIF, perfect order rate, on-shelf availability) measure supply chain output from the customer's perspective. Build the KPI system from the customer's perspective inward.
Do: define the "perfect order" (delivered on-time, in-full, undamaged, with correct documentation) and measure the perfect order rate as the primary KPI. Don't: optimise warehousing cost at the expense of service level without quantifying the customer lifetime value impact.
Implement in-transit visibility for critical shipments
In-transit visibility - knowing where a shipment is at all times - enables anticipating delays and acting before they impact the customer. For critical shipments (high-value products, narrow delivery windows), integrate carrier tracking data (TMS/carrier API) into the internal visibility platform. The integration cost is well repaid by the reduction in reactively managed exceptions.
Do: set up automatic alerts for deviations from the agreed ETA, with automatic escalation to the customer and operations team. Don't: rely solely on manual carrier communications to manage in-transit exceptions.
Automate returns management with clear triage rules
Reverse logistics is often the least structured process in the supply chain. Define clear triage rules: the return is put back into stock (if conforming), sent to refurbishment, scrapping or returned to the supplier. Automate classification with standardised return reason codes and WMS integration. Measure cost per return and recovery value.
Do: define and communicate to customers and internal teams the returns policy with standardised cause codes (defect, excess, specification change, etc.). Don't: handle returns as manual exceptions case by case, without aggregated data to identify systemic defects.
Collaborate with strategic suppliers on long-term capacity plans
Strategic suppliers (critical or leverage in the Kraljic matrix) need visibility of future demand to plan capacity investments. Share 12-24 month forecasts with key suppliers, as part of quarterly or semi-annual Business Review agreements. This visibility reduces emergency lead times and fosters co-innovation.
Do: include forecast sharing and flex capacity clauses (reserved capacity buffer) in contracts with strategic suppliers. Don't: communicate to suppliers only short-term confirmed orders without giving visibility on the medium-to-long-term plan.
Integrate sustainability as a sourcing criterion, not a separate initiative
Supply chain sustainability due diligence (Scope 3 emissions, working conditions, water impact) is becoming a regulatory requirement in Europe (CSRD Directive, CSDDD Regulation). Integrate sustainability criteria into the supplier qualification and evaluation process, with weighted scores in the Supplier Scorecard.
Do: require suppliers to report CO₂ emissions (at least Scope 1 and 2) and establish shared reduction roadmaps for critical suppliers. Don't: separate sustainability initiatives from the strategic sourcing process, treating them as communication activities rather than operational criteria.
Balance transport cost with lead time and flexibility
The choice of transport mode (sea, air, road, rail) must consider the trade-off between cost, lead time and flexibility. For high-value, low-volume products, air transport may be justified by reduced in-transit inventory. For high volumes and acceptable long lead times, sea freight minimises costs. Road transport dominates for flexibility and capillary coverage.
Do: quantify the cost of in-transit inventory (tied-up capital) as part of total transport cost in modal choice decisions. Don't: choose transport mode solely based on cost per kg/km without considering in-transit inventory cost and total lead time.
Monitor the financial health of key suppliers
The insolvency of a critical supplier can disrupt production for weeks. Regularly monitor the financial solidity of key suppliers through credit ratings, financial statement analysis and market signals (delays in paying their own suppliers). For sole-source suppliers in critical categories, monitoring must be continuous.
Do: include financial audit clauses and extraordinary event notification requirements in contracts with critical suppliers. Define contingency plans (qualified alternative suppliers, strategic inventory) for insolvency scenarios. Don't: discover a supplier's financial difficulties only when delivery is already delayed, without sufficient warning to activate contingency measures.