Industries · High-tech and industrial manufacturing
Rated capacity is not usable capacity.
A plant rated at 1,000 units a day that planning quietly treats as 700. A supplier who confirms half the quantity two weeks late. A customer whose forecast doubled last quarter and turned into half the orders. High-tech and industrial manufacturers plan through all three at once, and single numbers make each one expensive.
Where VYAN started
Two
Start with one important business commitment. Bring commercial, operations and finance into the same evaluation, with a shared baseline and explicit measures of value and service.
One
Enterprise objective across commercial, operations and finance decisions
Many
Of futures each commitment is tested against before it is made
Both directions at once
In this industry, the plan is wrong in both directions at once.
Upturns arrive faster than multi-tier supply can follow, so constrained components are allocated by escalation and premium freight. Downturns arrive faster than purchase commitments can unwind, so high-value inventory ages into write-downs.
Between the two, planning parameters typed in years ago, such as lead times, yields, run rates and minimum order quantities, keep entering the plan as facts.
The decisions that matter
Six decisions move margin, cash and service.
◷
What to buy, and how far ahead
Purchase commitments on long-lead, multi-tier components, sized to how demand and lead times actually behave.
⇢
Where to allocate scarce supply
Which customers, markets and orders get constrained components and capacity, judged on what each order earns.
◇
What to promise customers
Order dates and quantities you can commit, given supplier reliability and the capacity you actually have.
✚
How much protection to hold, and where
Inventory protection and buffers across the network, placed where they protect the most value.
⚙
What to build, and on which line
Production plans and schedules that respect usable capacity, not rated capacity.
∑
When to add capacity
Capital and capacity decisions tested against the cycles you may face, not only the one you expect.
Sense and shape
Sense what you cannot control. Shape what you can.
Customer forecasts, supplier commits, capacity and yield are kept as ranges learned from your own history. Purchases, allocation, promises, schedules and buffers are chosen together against one enterprise objective.
Illustrative.
Different clocks
Purchase commitments close months before the demand they serve is known.
Long-lead components are committed quarters ahead, supplier confirmations arrive weekly, customer orders daily, and capacity investments take years. Each closes on its own date.
Illustrative commitment horizons.
Reality, learned from your own history
Learn how each supplier, customer and line actually behaves.
Transaction history can reveal demand, delivery and operating variation. Review the relevant ranges and parameter recommendations in the scoped evaluation; assumptions without reliable history remain explicit business inputs.
Suppliers and customers respond inside one governed flow rather than by email, and an accepted supplier response becomes an input to the next plan.
✓Supplier response and delivery performance against every commit
✓Customer forecast and commitment performance, customer by customer
✓Planning parameters checked against what actually happened
✓Unusual transactions flagged before they distort the plan
Four reference plans
Judge every plan in the same futures before you commit to one.
A plan built on one forecast looks best until the futures arrive. A plan that protects everything pays for buffer it never uses. The resilient plan buys protection balanced against cost and service.
Illustrative comparison, not measured product results. Perfect information is an optimistic reference; maximum protection can still fail.
Where value leaks today
Where value leaks between the functions.
⇢
Allocation by escalation
Constrained supply goes to whoever escalates loudest, not to the orders that earn the most.
▤
Excess on the way down
Commitments sized for the upturn become write-downs when the cycle turns.
◷
Expedites as routine
Premium freight and overtime absorb what the plan did not anticipate, buried in operating cost.
⚙
Parameters frozen in time
Lead times, yields and run rates typed in years ago still drive the plan.
✚
Buffers everywhere
Inventory protection added item by item rather than placed where it protects the most value.
◇
Late supplier commits
A commit that arrives late or short is absorbed by planners after the plan is out.
What changes with VYAN
From single numbers handed down the chain to one set of enterprise commitments.
From
To
Rated capacity and typed-in lead times
→
Usable capacity and lead times learned from your own history
Sales, supply and finance plans in sequence
→
Commercial, operations and finance decisions against one enterprise objective
A safety stock formula per item
→
Protection placed across the network where it pays
Allocation by negotiation
→
Allocation by what each order earns, within the service floors you set
Supplier and customer changes by email
→
Suppliers and customers respond inside one governed flow
Go further
Read the argument, or test it on your own plan.
Article
Why semiconductor S&OP is underpricing volatility
What it costs to plan a volatile industry as if volatility were the exception.
Service
Plan Stress Test
Find which assumptions in the plan you are about to commit have to be right at the same time.
See the Stress Test ↗
Explore plan stress test →Service
Planning Parameter Reset
Find which lead times, yields and capacities no longer describe your operation.
See the Parameter Reset ↗
Start with one decision
Bring next quarter's allocation decision to a PULSE workshop.
Two to three hours with your leadership team on what you sense, what you can shape and which commitment to test first. No fee.