Your resource for the latest planning strategies, industry insights, thought leadership, and supply chain news.
A plant stuck at 60% OTIF has usually tried the generic advice already. OTIF moves when you attribute it: decompose the miss into its five sources, measure which one is leaking points over a full quarter, and fix that one first. Includes the two sources most decomposition guides skip.
Most mid-market planning does not run on one spreadsheet but on hundreds. Here is what Excel genuinely does well, the hidden costs backed by spreadsheet error research, a fair comparison across nine dimensions, and the six signals that mark the switch threshold.
Integrated business planning aligns demand, supply, product, and financial plans into one plan the executive team owns. Here is what IBP actually is, the three differences from S&OP that go beyond cosmetic, how each review hands off to the next, and the maturity path most companies actually follow.
A schedule is executable only if the APS engine respects the constraints the floor actually lives under. The seven that decide whether a plan runs or gets quietly abandoned: finite capacity at the bottleneck, material availability, sequence-dependent changeovers, tooling, shift calendars, capable-to-promise, and fast recovery.
Most teams do not lack forecasting methods; they lack a rule for choosing between them. Here is how to pick by data volume, demand pattern, and horizon, what the M4 and M5 competitions settled about models vs judgment, and why forecast combination is the quiet winner.
The same SKU can be overstocked in one depot and out of stock in another in the same week. Here is why per-node reorder points cause it, how DRP and network-level positioning compare, and when to transfer stock between nodes instead of reordering.
Demand sensing uses recent signals like open orders and POS data to sharpen the forecast for the next few weeks, on top of the statistical baseline rather than replacing it. Here is how it differs from forecasting, why real-time is a myth, and which products it actually helps.
Implementations rarely fail on software selection. They fail on records nobody owned. Here is how master data defects break forecasting, MRP, and replenishment, the data-quality tests to run this week, and the cleanup sequence (location, item, supplier, BOM, parameters, demand history) that survives go-live.
Multi-echelon inventory optimization (MEIO) sets inventory across every node in a network at once, so an upstream buffer protects the depots it feeds. Here is how it differs from single-echelon safety stock, the two modeling schools (guaranteed-service vs stochastic-service), and a five-point test for whether a network is actually ready for it.
Move beyond fragmented planning, manual cycles, and decisions made on incomplete information. Oritiq operates as the structured layer your supply chain planning has been missing.
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