Lean material-handling database + purchased-parts market sizing
A Plan For Every Part (PFEP) is a single controlled table that answers, for every purchased part in the facility: how is it packaged, who supplies it, where is it stored, where is it used, and how fast is it consumed? Most plants have this information scattered across systems and heads — the PFEP puts it in one sortable place.
| Part | Core | Usage & Location | Supplier & Ordering | Market Sizing | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Pieces per container | Usage per Assembly | Usage Location | Storage Location | Order Frequency | City | State | Country | Rating | Buffer (days) | Expedite (hours) | Hourly Usage = daily usage ÷ production hours per day | Containers per Day = daily usage ÷ pieces per container | Shipment Size (days) = days of production per delivery (weekly = 5, daily = 1) | Max Inventory (pcs) = (daily usage × shipment size) + buffer pieces | = max inventory ÷ pieces per container, rounded up | Min Level (containers) = expedite hours × containers used per hour, rounded up | |||||
| 60 | 20 | 1 | 960 | 40 | 20 | ||||||||||||||||
| 60 | 8 | 2.5 | 1,680 | 28 | 8 | ||||||||||||||||
| 60 | 40 | 1 | 960 | 80 | 30 | ||||||||||||||||
| 120 | 1.9 | 5 | 6,720 | 14 | 6 | ||||||||||||||||
| 120 | 0.4 | 10 | 12,480 | 5 | 1 | ||||||||||||||||
| 120 | 3.8 | 2.5 | 4,320 | 18 | 12 | ||||||||||||||||
| 60 | 4.8 | 5 | 2,880 | 29 | 15 | ||||||||||||||||
| 360 | 0.6 | 20 | 66,240 | 14 | 1 | ||||||||||||||||
| 60 | 1.2 | 2.5 | 1,680 | 5 | 2 | ||||||||||||||||
| 60 | 3.2 | 5 | 2,880 | 20 | 4 | ||||||||||||||||
| 60 | 9.6 | 1 | 720 | 15 | 5 | ||||||||||||||||
| 60 | 0.2 | 20 | 12,000 | 6 | 1 | ||||||||||||||||
Hourly usage = daily usage ÷ production hours per day
Containers per day = daily usage ÷ pieces per container
Shipment size (days) = delivery frequency as days of production: daily = 1 · 3x/week = 1.67 · 2x/week = 2.5 · weekly = 5 · 2x/month = 10 · monthly = 20 (5-day week)
Buffer (pieces) = daily usage × buffer days — a deliberate, visible allowance for demand and delivery variation
Max inventory = (daily usage × shipment size) + buffer pieces — the most that should ever sit in the market
Max containers = max inventory ÷ pieces per container, rounded up — this is what sizes racks and floor space
Min level (containers) = expedite hours × containers used per hour, rounded up
The minimum level is an expedite trigger, not a reorder point. A healthy ordering system replenishes well before the minimum; hitting it means something broke — act immediately.
Everything is editable — click any field.
Want an editable copy?
Download the free PFEP template — the full column set with live market-sizing formulas (max inventory, containers to store, expedite triggers) and a worked example plant. Opens in Excel and Google Sheets.
PFEP stands for Plan for Every Part: the single source of truth for every purchased part in your facility — how it’s packaged, who supplies it, where it’s stored, where it’s used, and how fast it’s consumed. It is a controlled database — usually a spreadsheet — with exactly one row per purchased part number, holding everything the plant needs to know about that part: daily usage, point of use, storage address, order frequency, supplier and supplier location, container type, dimensions and weights, pieces per container, carrier, and transit time. Most facilities already have this information, but it lives in a dozen systems and several people’s heads. The PFEP puts it in one sortable place, visible to everyone, and that visibility is what makes a lean material-handling system possible. It is the foundation that a pull system, a purchased-parts market, and standard-work delivery routes are built on: none of them can be designed without accurate part-by-part data.
Two habits separate a useful PFEP from a dead file. First, enter data in the smallest element possible — container length, width, and height as three fields rather than one “24 x 16 x 12” string, and supplier city, state, and country as separate columns — so you can sort by height when designing flow racks, or by region when planning milk runs. Second, give the PFEP one owner: a single person who approves every change, so the data stays trustworthy as containers, suppliers, and volumes evolve.
A purchased-parts market is a single, controlled storage area — ideally near the receiving dock — that holds a defined maximum and minimum quantity of every purchased part. The PFEP is what lets you calculate those levels instead of guessing. For each part, the planned maximum inventory is daily usage multiplied by the shipment size in days (weekly delivery = five production days of parts per shipment, daily delivery = one), plus a deliberate buffer for demand and delivery variation. Divide that maximum by pieces per container and round up, and you have the number of containers to store — which, multiplied by container dimensions, sizes your racks and floor space. The minimum level works differently: it is the expedite time in hours multiplied by containers consumed per hour. Reaching it is not a routine reorder point — it is an alarm that says an emergency shipment must leave now, because production is that many working hours from a stockout.
Run the numbers on the example dataset and one lesson jumps out: the biggest lever on inventory is not safety stock but delivery frequency. Moving a part from weekly to daily delivery cuts its maximum inventory by most of a week’s worth of parts — usually a far larger saving than any buffer trimming, and the reason lean plants push toward frequent, small deliveries and supplier milk runs.
You see twelve sample pump parts already filled in. Click "Start blank" above the sheet to clear it, then add a row per part. Enter each part’s usage, supplier, container, and delivery facts — the column-group toggles let you hide what you aren’t working on, since a full PFEP is wide by nature. The Market Sizing columns compute automatically: containers per day, maximum inventory, containers to store, and the minimum expedite level. Click the calculator icon on any row to see the arithmetic worked out with that part’s numbers. Sort by any key column to find your biggest movers or largest storage consumers, search to filter, then export the full table as CSV, print a landscape summary, or download the editable Excel template with all formulas live.