Improvement in a jobbing shop: what repeats when the products do not
What this answers
If no two of our jobs are the same, what exactly are we supposed to standardise?
Improvement methods developed in repetitive assembly plants are routinely dismissed by jobbing shops and engineering-to-order businesses on the grounds that nothing they make repeats. The parts do not repeat; the process steps do. Quoting, programming, setting, first-off inspection, deburring, documentation and despatch happen on every job, and the losses inside those activities are large, consistent and almost never measured by anybody.
Written for: jobbing shop owners, engineering managers, supervisors in low-volume plants.
The repeating unit is the operation, not the product
A machine shop making several hundred different parts a month performs the same small set of activities on all of them. Setting a machine, proving a program, checking a first-off, changing tooling, cleaning and deburring, and preparing paperwork are common to every job, and each has an established best method currently carried in the heads of individuals. Documenting and improving those applies across the whole order book without needing any product to repeat. This is where standard work has meaning in a low-volume environment, and in most such shops it is entirely absent.
Standard work for setting, not for cycles
The repetitive-plant version, with a fixed sequence, a fixed cycle time and a fixed quantity of work in process, does not transfer. What does transfer is a defined method for each recurring activity: how a first-off is presented and checked, where tooling is staged before a setup begins, what the setter does while the machine is running, how a job is handed to the next operation, and what the operator records. Those are the activities that consume the shift in a low-volume shop, and standardising them is felt immediately by everybody working there.
Which methods travel and which do not
Pull signals tied to a part number are meaningless for one-off components, and levelling has nothing to level. Setup reduction, mistake-proofing, workplace organisation, visible job status, problem-solving discipline and flow through the office all transfer directly and frequently pay better than in volume plants, because the starting point is worse. Card-based replenishment does apply to the consumables and standard materials every job draws on, such as fasteners, bar stock, abrasives and gases, and that is usually the least contentious place to begin, since nobody argues that stores should run out.
Queue discipline replaces the pull signal
With unique parts, the control question becomes how much work is on the shop floor at once and in what order it is worked. Releasing every order as soon as it is entered fills the shop with jobs that then wait, obscuring priority and inviting expediting. Limiting released work to what the shop can start, and enforcing a visible sequencing rule supervisors do not quietly override, achieves most of what a pull system achieves in repetitive production. The hard part is political, because the released backlog is where informal favours to customers currently live.
The biggest losses sit before any metal is cut
In engineered and one-off work the elapsed time is dominated by quoting, drawing interpretation, technical queries, material procurement and waiting for a decision. A job can sit for weeks awaiting an answer that takes minutes to give. Shops measuring only machine utilisation never see this, because the machines were busy on other work throughout. Following a sample of jobs from enquiry to despatch, and recording where each one waited, redirects improvement effort towards the office, which is uncomfortable since that is where the owners and engineers usually sit.
Frequently asked questions
- Can card-based replenishment work when every part number is used once?
- Not for the parts themselves. It works well for standard materials and consumables that every job draws on, and for tooling and inserts, where a simple two-bin arrangement removes stockouts and the constant small interruptions they cause. For the jobs, the equivalent control is limiting how much work is released to the floor and sequencing it visibly, which delivers the same effect of stopping the shop from being flooded with work it cannot start.
- Is standard work realistic when every job is different?
- Yes, at the level of the operation rather than the product. Write down how a setup is prepared, how a first-off is verified, how tooling is staged and how a job is handed over, and you have standardised most of what actually consumes time. The test is whether two setters approach the same machine the same way. Where they do not, that difference is unmanaged variation and it costs time on every job regardless of what the drawing shows.
- Where should a small high-variety shop start?
- With setup reduction on the busiest machines and with the flow of information through the office, in that order or together. Both produce visible results without capital, both apply to every job, and both are unarguably wasteful in their current state. Workplace organisation is a reasonable third, provided it is aimed at finding tooling and materials quickly rather than at appearance. Avoid launching a plant-wide programme, since small shops have no spare management attention to run one.
Data limitations
- Manufacturing figures are operator-supplied inputs, not market data. GeoBusinessIQ holds no factory costs, production volumes, yields, cycle times, tooling prices or capacity data and does not estimate them — every result reflects only the figures you enter.
Explore the graph
Related manufacturing topics
- Improvement in process plants: the material already flows, so where is the waste?
- Improvement kata: a practice routine for reaching a condition you cannot yet see
- Improving flow: finding where work stops and deciding what to attack first
- Kaizen events: the concentrated week and the preparation it depends on
- Kaizen: small improvements, and the management response time they depend on
- Lead-time reduction: shortening the clock the customer actually experiences
Across the manufacturing graph
- Downtime management: recording stoppages in a way that leads to action
- Jigs and fixtures: controlling the devices that hold accuracy in place
- Continuous production: a plant that is only economic while it is running
- Horizontal integration: more of the same stage under one management
- Visual inspection: what a person looking at a part can and cannot decide
- Control plans: the standing agreement on what is checked and what happens on a fail
Sources
- NIST Manufacturing Extension Partnership — NIST MEP (accessed )Covers: A public programme supporting small and medium manufacturers with operational, quality and technology adoption practice.Does not cover: Results attributable to any specific manufacturer, or improvement figures transferable to another plant.Why it matters: Cited for the operational practice it publishes for smaller manufacturers, not for benchmarks or outcome claims.Review cadence: annual
- United Nations Industrial Development Organization — UNIDO (accessed )Covers: Industrial development analysis, industrial statistics methodology, and manufacturing capability programmes across member states.Does not cover: Company-level data, factory costs, supplier information, or real-time production statistics.Why it matters: The United Nations agency for industrial development; used for structural framing of how manufacturing sectors develop, never for point figures.Review cadence: annual
Educational and operational information only — not legal, engineering, safety, customs, tax, or financial advice. Requirements vary by jurisdiction, product, process, and contract; confirm with the relevant authority or a qualified professional before acting.
Last updated: