Consensus and supply handoff
Turn evidence into approved scenarios and an actionable supply bridge.
Keep baseline, approved adjustments, targets, and conditional scenarios distinct.
LESSON 2 · 8-HOUR ACTIVITY PLANHand demand to supply with a complete bridgePublish a versioned forecast, net requirement, constraint gap, and recovery choices.
Watch, listen or read
Turn evidence into approved scenarios and an actionable supply bridge.
6:21 · Original narrated lesson slides. AI-generated narration through Runway; factual diagrams assembled for this course. Video is optional. The complete transcript is directly below.
Read the complete narration transcript
Bring one dated baseline and an adjustment register. Northstar baseline forty-five plus six genuinely incremental new-store units gives fifty-one. An existing order of ten already inside baseline adds zero. A sales target of sixty-five is a goal, not evidence that customers will request sixty-five. Keep the gap visible without forcing the forecast upward. Each adjustment needs an owner, evidence date, affected product and period, incremental quantity, and expiry condition. An adjustment should not persist forever because its origin was forgotten. Preserve baseline and final versions so future review can evaluate whether judgment helped on the same frozen target and lead time. An optional event adds twelve only if it occurs, making event-on demand sixty-three from a base of fifty-one. A downside loss of eight gives forty-three. These cases help prepare responses; they are not calibrated intervals and carry no probability unless evidence supports one. Do not call their average expected demand without probabilities. Avoid stacking adjustments that represent the same cause. More stores and more display exposure may overlap. Explain which assumptions move together and which are separate choices. Timing matters as much as a total: shifting an event between weeks can preserve monthly volume while moving the operational peak beyond available capacity. Consensus is a working assumption with accountable owners, not certainty. Record disagreements and evidence that would resolve them. Sales can verify the store opening, the analyst can preserve the baseline, and a review chair can approve the published version. End with actions, dates, and triggers rather than a vague request to revisit the forecast. When outcomes arrive, compare baseline and adjusted errors and record whether the planned event happened. A reasonable forecast can still be wrong; a lucky forecast can rest on weak evidence. Learning requires keeping the original reasoning and distinguishing changed execution from a poor estimate of the demand effect. State product, location, unit, bucket dates, issue time, horizon, and scenario. Include baseline, approved adjustments, consumed orders, separate old backlog, and quality limitations. The demand owner describes expected customer wants; the supply owner evaluates feasible fulfillment. These are linked decisions with different responsibilities, not interchangeable versions of one number. Fresh demand fifty-one plus backlog six gives fifty-seven obligations. Stock eighteen and on-time receipts ten leave twenty-nine to obtain. Quarantined or reserved stock is not usable. A receipt after the need date cannot offset an earlier requirement without accepting delay. Document timing and eligibility rather than relying on a period-total shortcut. Supplier availability twenty-four, manufacturing thirty-two, and shipping thirty mean twenty-four additional usable units if they are sequential limits on the same flow and period. Do not add capacities. Against requirement twenty-nine, the gap is five. Do not reduce the demand forecast to hide that gap; retain a separate feasible fulfillment view. Recovery may involve earlier supply, approved substitution, increased capacity, or customer rescheduling. Each option needs an owner, lead time, and effect on the gap. Deferring five units does not erase demand. Keep original due dates and revised promises so later service and backlog reports reflect what actually happened. Fresh low divided by base divided by high demand forty-three, fifty-one, sixty-three gives net requirements twenty-one, twenty-nine, forty-one with the same backlog, stock, and receipt. Against twenty-four usable additional units, low has three headroom and base divided by high gaps five, seventeen. These cases let the supply team tie actions to observable demand triggers. A separate production check for twenty-nine good units at expected yield ninety seven percent suggests thirty starts, with expected output twenty nine point one, never a guarantee. Thirty starts at twelve minutes plus one thirty-minute changeover use three hundred ninety of four hundred eighty usable minutes, leaving ninety. This hypothetical calculation does not resolve the supplier constraint; assumptions must stay distinct. At the end of the lab, give the next team a plan they can use. Name the week, the unit, the owner, and the cut off. Show what is new, what is old, what is in stock, and what is due to arrive. Show the gap before you choose a fix. Then name a low case and a high case with a clear cause for each. A plan is not a vow that the world will stay still. It is a way to see what must change when new facts arrive, and who must act on those facts.
Video teaching plan
- Begin with a common baseline
Original flat diagram with separate labeled input and output boxes, using Northstar bottle icons.
- Begin with a common baseline
- Base 51, downside 43, event-on 63; target 65 remains a goal.
- Check units and timing
- Tie scenarios to conditions
Original calculation card with aligned quantities and an arrow showing one change.
- Tie scenarios to conditions
- Base 51, downside 43, event-on 63; target 65 remains a goal.
- Check units and timing
- End with a decision record
Original comparison chart with clearly labeled cases and a small assumption note.
- End with a decision record
- Base 51, downside 43, event-on 63; target 65 remains a goal.
- Keep assumptions visible
- Publish a demand contract
Original flat diagram with separate labeled input and output boxes, using Northstar bottle icons.
- Publish a demand contract
- Publish a versioned forecast, net requirement, constraint gap, and recovery choices.
- Check units and timing
- Expose the limiting capability
Original calculation card with aligned quantities and an arrow showing one change.
- Expose the limiting capability
- Publish a versioned forecast, net requirement, constraint gap, and recovery choices.
- Check units and timing
- Handoff scenarios and checks
Original comparison chart with clearly labeled cases and a small assumption note.
- Handoff scenarios and checks
- Publish a versioned forecast, net requirement, constraint gap, and recovery choices.
- Keep assumptions visible
Module practice & recap
Next-week baseline forty-five plus six incremental new-store units, an included customer order ten, and old backlog six. Usable stock eighteen, on-time receipt ten. Common-flow usable limits supplier24,manufacturing32,shipping30. Event-on adds twelve to fresh demand; downside removes eight. Recovery options: expedite five usable units for cost forty, or defer five obligations with customer consent at cost ten. No probabilities or customer priority rule are supplied.
- Spend 45 minutes constructing base,downside,event-on demand contracts and net requirements.
- Spend 45 minutes calculating constrained fulfillment and remaining gaps before and after the five-unit expedite.
- Spend 45 minutes comparing expedite and deferral while stating which service and consent assumptions remain unresolved.
- Spend 45 minutes delivering a one-page handoff with version,owner,trigger,and next review time.
What to produce
- Reconciled calculation model
- Scenario and assumption comparison
- Decision memo and handoff checklist
Ordinary practice answer checks
- Fresh demand cases 43,51,63; obligations 49,57,69; net requirements 21,29,41.
- Common-flow limit24 gives gaps zero,five,seventeen, with downside headroom three.
- Five additional usable units remove base gap and leave event-on gap twelve; this assumes expedite bypasses the binding supplier limit without another bottleneck.
- Deferral changes promise timing rather than fresh demand; low cost alone cannot establish acceptability without customer consent.
- No unique optimal decision follows without scenario probabilities, service values, and verified feasibility; disclose those gaps.
10 quick questions
Choose an answer, then check it. Retry any question without penalty. The one-hour budget includes checking, revisiting examples, and explaining your choices.
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