About this example
This is a hypothetical scenario. The company, its products and every number below are invented to illustrate the reasoning. They do not describe a real business and are not benchmarks. Real results depend heavily on the industry, products and starting point.
The starting situation
Imagine a small manufacturer of metal enclosures for electrical equipment. It runs a cutting area, a bending area, a welding cell and a paint line, and it ships to a few dozen customers. Management has noticed three recurring problems:
- Orders are often shipped later than promised.
- The warehouse holds a lot of some materials and runs out of others.
- The paint line stops now and then because of missing consumables.
Everyone has an explanation. Sales blames production, production blames purchasing, and purchasing blames suppliers. Nobody has a shared picture of what is actually happening.
Step 1: Map the flow
The first step is to draw the path of one typical product, from the purchase of sheet metal to delivery to the customer, and note where material waits. In this made-up case, the map shows that:
- Sheet metal comes from two suppliers, one of which is often a few days late.
- Finished cut parts sit in front of the bending area because bending is slower than cutting.
- Paint and masking supplies are ordered by whoever notices they are low, with no standing rule.
- Finished goods wait on the dock for a delivery slot, because outbound loading is done in a single batch each afternoon.
Mapping is often the most valuable step. It replaces opinions with a visible sequence and shows that the delays come from several different places, not one.
Step 2: Measure a few things
The team decides to track three measures for a few months:
- On-time delivery to customers.
- How often a material or consumable is out of stock when needed.
- How long cut parts wait before bending.
In this scenario, the records show that most late orders involve the late-delivering sheet metal supplier or the bending queue, and that nearly all paint line stoppages involve a small set of consumables. The measures are simple, but they point attention at the right places.
Step 3: Act on the biggest causes first
The team picks a small number of changes, not a long list.
Supplier reliability. The purchasing manager shares forecasts with the late supplier and agrees on a more realistic lead time. The company also qualifies a second source for the most-used sheet thickness, so a delay at one supplier does not stop production.
Consumables. Paint line supplies are given a defined minimum level and a reorder point. When stock reaches that level, an order is triggered. The few consumables that caused stoppages are treated as critical, and a small safety stock is kept.
Bending capacity. The queue in front of bending suggests the area limits overall output. The team reviews setups and schedules similar jobs together to reduce changeover time before considering new equipment. Identifying supply chain bottlenecks like this is usually cheaper than adding capacity everywhere.
Outbound loading. Instead of one afternoon batch, loading happens in two shorter windows, so finished orders leave sooner.
Step 4: Adjust inventory on purpose
Before the changes, stock levels were set by habit. The team now sorts materials into simple groups:
- Items that are critical and hard to replace, which get a deliberate buffer.
- Items that are cheap and easy to obtain quickly, which are kept lean.
- Slow-moving items, which are reviewed for reduction.
As a purely illustrative figure, suppose an item has a supplier lead time of 10 days and the plant uses about 2 units per day. During the lead time it would use about 20 units, so the reorder point must be at least 20 units, plus a safety margin for variation in delivery time or usage. The margin might be set at, say, 6 units, giving a reorder point of 26. These are invented numbers; a real plant would base them on its own usage and supplier history, and should revisit them as conditions change.
Step 5: Review and keep adjusting
After a few months, the made-up company looks at the same three measures again. In this scenario, late orders become less frequent, consumable stoppages are rare, and the bending queue is shorter. Some problems remain. Perhaps the second supplier has slightly different material tolerances, and the team needs to adjust a bending setup to suit. This is normal: each fix can reveal the next constraint.
What the example illustrates
- Problems often come from several linked places, so mapping the flow comes before fixing anything.
- A few simple measures can direct effort better than a large new system.
- Inventory is a decision, not a leftover. Different items deserve different treatment.
- Supplier relationships, internal scheduling and equipment capacity all affect delivery performance.
- Improvement is repeated: measure, change a little, check, and repeat.
A real business should adapt these ideas to its own situation and avoid assuming it will see the same pattern or the same results. The value of an example like this is the method, not the numbers.