Decision handoff and trigger control

Understand the constraint

A decision record should separate known facts, assumptions, choices, and triggers. For Northstar the requirement is twenty nine good bottles. The current supplier ceiling is twenty four. A proposed five-unit recovery is not confirmed until procurement verifies availability and arrival before the production release gate. Manufacturing has a ceiling of thirty two and transport thirty in this simplified good-unit model. Record the version and time of each confirmation. A later change in a hard constraint should reopen the decision rather than silently replace a cell.

Use concrete checkpoints. Procurement must confirm the five extra equivalents by Monday at ten. If confirmation fails, the planner reduces the firm new-flow promise to twenty four and records five unfilled units. If confirmation succeeds but the carrier later confirms only twenty seven slots, transport activates a pre-reserved three-slot backup by Tuesday noon. These actions are fictional operating rules for this case. They require named roles, stated deadlines, and authority; a vague instruction to expedite does not tell a colleague what to do.

Interpret the result

The final handoff contains the quantities to start, quantities expected good, quantities approved to ship, and the checks that connect them. Do not mix the good-unit capacity example with a separate yield-based start calculation without translating the units. In a physical run with a ninety seven percent expected yield, thirty starts support an expectation of twenty nine point one good bottles, not a firm guarantee of twenty nine. Inspection should release actual good stock, and customer service should update the promise if the released amount misses the committed quantity.

Create one row for each resource or stock position and one column for each time bucket. Put the unit in the row label and keep inputs separate from calculated results. Begin with the smallest case you can verify by hand, then extend the same equations across periods. Give every receipt a usable date and every requirement a due date. Preserve the baseline before changing an assumption so the effect of an action is visible.

Validate and explain

Use a second check that follows the physical story. Count what enters, what is used, what waits, and what leaves. A plan that balances in total can still fail at an earlier cutoff. Mark any unavailable input as an assumption rather than filling it with a convenient zero. A zero means a known absence; an unknown value means the promise remains conditional. This difference belongs in both the model and the decision note.

A calculation becomes useful when it changes a choice. Compare the baseline with at least two scenarios, identify the first limiting condition in each, and explain what additional resource would actually change delivered output. Keep a service measure alongside any cost or value measure. State whether the choice maximizes value, protects a commitment, or reduces the worst shortfall. A different goal can produce a different sensible answer from the same facts. Finish by testing one deliberately wrong proposal, such as a receipt used before arrival or a quantity above a resource ceiling. Your table should make that error visible. Save the rejected proposal with a short explanation, because it teaches a reviewer how the checks work. The eight hours include rebuilding, scenario work, writing, and teach-back; they are self-paced estimates rather than measured completion times. Faster readers should deepen the checks instead of merely rereading the text.

Build, test and explain a plan

Create a three-checkpoint decision log for Monday10:00, Tuesday10:00, and Tuesday12:00. Test three paths: supply confirmed and carrier30; supply confirmed and carrier27 with available backup; supply not confirmed and carrier30. Initial ceilings are 24/32/30 and need29. Backup adds3 slots, only when activated by Tuesday noon. Add a late message arriving Tuesday13:00 and explain what can no longer be assumed. Write one release note per path. The eight-hour estimate covers an original workbook or paper model, scenario calculations, checks, and communication; it is not experimentally validated.

Use paper or a spreadsheet. The estimates below include the study and worked example already on this page.

Your deliverables

• A reproducible planning table with inputs, formulas, units, and checks.
• A scenario comparison with service and resource consequences.
• A decision memo and short teach-back outline.

Keep these three ideas

• Turn a conditional model into an executable promise with owners.
• Keep quantities, resource units, and due times explicit.
• Recheck all constraints after a change, and report remaining uncertainty.

Common mistakes

• Treating capacity in a later time bucket as available before the due gate.
• Calling an expected or conditional quantity a guaranteed shipment.