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Practical learning articles for supply chain students and professionals.
OEE and bottleneck analysis help factory teams understand where productive time is really being lost. This guide explains OEE, the Theory of Constraints, and practical bottleneck management so operations leaders can improve throughput instead of just making every station busier.
Kanban, SMED, SPC, and Six Sigma are some of the most practical methods used on modern production floors. This guide explains what each method does, what problem it solves, how it connects to lean and agile operations, and how factory teams use them together to improve flow, flexibility, and quality.
Customer reported errors help supply chain and service teams see where customers are experiencing real operational failures. This guide explains how to analyze reported errors by error type, customer type, and cost so teams can prioritize the right corrective action.
Customer care interaction rate helps teams understand how much support demand customers generate, where that demand is concentrated, and what it reveals about product, service, and supply chain performance. This guide explains what the metric means, how to measure it, which patterns matter most, and how to turn interaction data into better staffing and operational decisions.
Purchase price variance, or PPV, helps procurement and supply chain teams measure how actual buying prices differ from standard or expected prices. This guide explains what PPV means, how to calculate it, how to analyze favorable and unfavorable variance, and how businesses can use PPV to improve sourcing discipline and cost performance.
Spend tree analysis helps procurement teams organize raw spend data into categories, identify tail spend, spot off-contract buying, and prioritize sourcing action. This guide explains what a spend tree is, how to build one, what patterns matter most, and how to turn analysis into real category-management decisions.
Cost to serve helps businesses understand the real supply chain cost of serving products, customers, and channels. This article explains what cost to serve means, how to calculate it, why it matters, and how companies can use it to improve profitability without damaging service.
Cycle service level measures the probability of not stocking out during a replenishment cycle. This guide explains what it means, how it differs from fill rate, how to calculate it, when to use it, and how supply chain teams can improve service without blindly adding inventory.
Lead time decomposition helps supply chain teams break total lead time into queue, production, transit, customs, and receipt components. This guide explains how to calculate lead time step by step, how to identify the real bottleneck, and how to improve service and inventory decisions with better lead time visibility.
Fill rate shows how much customer demand is fulfilled immediately from available inventory. This article explains the different types of fill rate, how to calculate them, how fill rate differs from cycle service level, and how companies can improve service without creating unhealthy stock levels.
OTIF, or On Time In Full, is one of the most important supply chain service metrics. This guide explains what OTIF means, how to calculate it from raw delivery data, how it differs from simpler service KPIs, and how to trace OTIF misses back to lateness, short shipments, or damage.
The beer game is one of the best ways for students to understand the bullwhip effect, because it turns delayed information, ordering decisions, and supply chain instability into something you can actually experience round by round.