How are setup times reduced in production?

Changeovers are one of the most underestimated loss categories in the manufacturing industry. They are planned. They appear on the schedule. They are often not counted as a “stoppage”. But a changeover where the machine stands idle for three hours is three hours of unused capacity, regardless of whether the stop was planned or not.

For many factories, changeover time is the single greatest lever for increasing capacity, meeting fluctuating demand, and improving OEE. And it is an area where improvements can often be achieved without major capital expenditure. It comes down to methodology, measurement, and sustained effort.

This guide outlines how to reduce changeover times based on the SMED methodology, what is required to make the change stick, and why measurement is critical from day one. Throughout, our premise is that shortening changeovers is a continuous improvement initiative. A platform that visualises losses ensures that the work can be driven systematically over time, rather than as an isolated project that loses momentum after six months.

Why is changeover time a strategic issue?

Changeover time is strategic because it dictates three critical factors for a factory manager or head of production: capacity from existing machinery, agility in meeting customer demand, and competitiveness in a market with fluctuating volumes.

Capacity from existing machinery. Every hour spent in changeover is an hour not spent producing. Halving changeover times on a machine that changes over five times a week, from four hours to two, yields ten additional production hours per week. Annually, that equals 500 hours, representing a significant portion of a production line's total capacity.

Agility in meeting customer demand. Long changeover times force long production runs. Long runs tie up capital in inventory, make the plant vulnerable to shifting customer requirements, and degrade delivery precision. Shorter changeovers achieve the opposite: you can run smaller batches, deliver more frequently, and maintain lower finished goods inventory.

Competitiveness in a market with fluctuating volumes. When demand shifts rapidly, the factory that can change over quickly wins. While competitors with longer changeover times hesitate, you have already begun producing the new part.

This strategic perspective means changeover reduction should not be treated as a minor shop-floor exercise. It is an executive decision that directly influences how the factory can compete in the market.

What is SMED and how does the methodology work?

SMED stands for Single-Minute Exchange of Die and is a methodology for shortening changeover times in three steps: separate internal and external setup, convert internal tasks to external, and streamline what remains. The concept was introduced by Shigeo Shingo in Japan during the 1950s and 60s, with the original ambition of changing tools in under ten minutes. The methodology has since become a cornerstone of lean and has been successfully applied across all types of manufacturing, from automotive to food production.

SMED is built on three steps.

Step 1: Separate internal and external setup

The first, and often most significant, step involves classifying every element of the changeover.

Internal setup encompasses tasks that can only be performed when the machine is completely stopped. This includes, for example, tool changes, adjustments inside the machine, or other steps requiring a safe stop with lockout/tagout procedures.

External setup is work that can be carried out while the machine is still running in production. Fetching tooling, preparing raw materials, reviewing instructions, and organising the workstation.

In many plants, a large portion of external work is performed while the machine stands idle. Moving these activities to before or after the actual stoppage can, by itself, cut changeover time by 30 to 50%, without requiring any single task to be performed faster.

Step 2: Convert internal to external

The next step is to examine which internal elements can be converted to external setup through minor modifications. Pre-heated dies or moulds can be mounted immediately without waiting. Quick-release couplings mean a connection that previously required manual disassembly can be latched in mere seconds. Standardised fixtures eliminate adjustment steps.

This step often requires modest investments in equipment or workstation ergonomics. These are almost always minor compared to the value of the unlocked capacity.

Step 3: Streamline both internal and external

The third step involves making every remaining step as rapid and repeatable as possible. Parallel processing, where multiple operators execute different tasks simultaneously. Standardise the routine so that any two operators perform the setup identically. Visual aids and checklists ensure nothing is overlooked or performed out of sequence.

This is where fine-tuning occurs. The initial 50% time reduction frequently originates from steps 1 and 2. The remainder results from persistent focus in step 3, often spanning several months.

What is the most common mistake in changeover initiatives?

The most prevalent mistake is assuming changeover times are already known without measuring them rigorously. In many facilities, empirical measurement reveals changeovers take significantly longer than management estimates.

There are several reasons for this. Often, only the duration of the physical machine standstill is recorded, omitting the ramp-up time to full production speed at target quality. Micro-stops and initial adjustments during the first hours following the setup are frequently missed. Furthermore, changeover times often vary drastically by part number, day, shift, and operator, rendering aggregate averages misleading.

Before changeover times can be reduced, true baselines must be established. This requires measurement capturing:

• From the last good part of the preceding item

• To the first good part of the subsequent item

• Including warm-up, calibration, and quality sign-off

• Categorised by product transition, shift, and operator

When this data is visualised, an unexpected pattern emerges. The variance between a fast and a slow changeover of the exact same product transition is often vast. That variation is highly actionable, as it proves substantial improvement potential already exists within the plant, among your own operators. The challenge is simply standardising best practices across the team.

What does operator involvement mean during changeovers?

Operator involvement means operators act as primary drivers of continuous improvement, rather than passive recipients of instructions. Plants that succeed in sustaining changeover reductions share a common trait: frontline teams lead the initiative.

This is critical for two reasons. First, operators observe operational nuances that escape others. Which tools are missing at the cell? Which fine-tuning adjustments are required on one specific line but not another? Which physical obstacles prevent parallel work? This insight is not found in a consultancy's time study; it lives on the shop floor.

Second, changes only stick if operators own them. A standardised routine mandated from the top down tends to erode within months. A standardised operating procedure developed, refined, and tested by the operators themselves endures.

At Bostik in Helsingborg, manufacturing adhesives and sealants across more than 80 SKUs on the same line, this approach was core to their improvement strategy. Through structured DMAIC problem-solving alongside operators, changeover times on packaging machines were reduced by 70%, while OEE improved by 40%. One pivotal operational insight was deceptively simple: two operators collaborating on a single changeover finished faster than two working in parallel on separate machines. Platform tracking demonstrated this efficiency gap objectively, making it standard practice.

What should a software system do to support changeovers?

A system must deliver on four priorities: measure changeovers consistently, expose variation across changeovers, tie measurement to part numbers and downtime reasons, and support frontline teams in daily operations. This turns setup reduction into a systematic operational habit rather than an isolated, short-lived project.

Measure changeovers automatically and consistently. From the last good part to the first good part, by product transition, shift, and operator. Manual log sheets fade out. Automated data collection endures.

Visualise the variation. An average changeover metric reveals little. The spread between fast and slow changeovers on the exact same transition reveals a great deal. This variance should be instantly visible in the platform without requiring external BI analysis.

Link to part numbers and downtime root causes. Some product transitions carry high operational costs; others are trivial. Being able to prioritise the most costly transition, or the one occurring most frequently, differentiates structured continuous improvement from haphazard tinkering.

Support daily operations. Changeover performance must be visible on shop-floor dashboards during morning tier meetings and weekly improvement reviews. Otherwise, it degenerates into a monthly report no one acts on.

This reflects the core purpose of an effective OEE monitoring system. Measurement is the enabler; improvement is the target. The platform serves as the engine for everyday operations, rather than a disconnected administrative reporting tool.

How do you get started with shortening changeover times?

Get started following six distinct steps: select a critical transition, measure for three weeks without altering routines, video record the changeover, classify every element as internal or external, establish standard work and run trials, and only scale once results are verified.

1. Select a critical transition. Neither the simplest nor the most complex. Choose a setup that occurs regularly and where reductions liberate visible, meaningful line capacity. That is where credibility is built.

2. Measure for three weeks without changing anything. Establish an objective baseline. Capture the natural variation between operators and shifts.

3. Video record the changeover. The value of this cannot be overstated. What team members think happens and what actually occurs often diverge considerably. The video becomes the primary foundation for shared analysis.

4. Classify every element as internal or external. Using stopwatches and footage, bring operators together around a table. Analyse every sub-step. Determine what can be shifted outside machine downtime, what requires minor equipment alterations, and what simply requires discipline.

5. Establish standard work and run trials. Document the procedure clearly. Deploy visual management aids. Trial ten changeovers using the updated method. Measure results. Fine-tune.

6. Scale when proven. Not before. Once the initial transition is executed faster and results remain stable across shifts, replicate the standard across adjacent setups and machinery.

Capturing quick wins is relatively rapid. Preventing drift back into legacy habits requires sustained procedural discipline.

How does Good Solutions support changeover reduction?

The Good Solutions platform is designed to drive continuous improvement in daily plant operations, including changeovers. Automated tracking captures the exact window from the last good part to the first good part, per transition and per shift. Variance is visualised clearly on dashboards leveraged by operators, shift supervisors, and continuous improvement teams in regular cadence meetings. Root causes and SKU-level data are cross-referenced so that engineering and operational efforts are prioritised effectively.

The platform is deployed alongside expert guidance from implementation consultants with direct manufacturing backgrounds. Structured training paths for operators and superusers ensure operating practices take root. A dedicated Customer Success Manager works alongside your team long term.

Proven customer outcomes include Bostik, who reduced changeovers on filling lines by 70% and lifted overall OEE by 40%. System 3R, a Swedish manufacturer of tooling and automation solutions, maintains an explicit goal of reducing changeover times to under ten minutes, matching the original SMED target.

Learn more about how other manufacturers have boosted plant productivity

Frequently Asked Questions

How much can changeover times realistically be reduced?
Cross-industry operational evidence shows that a 30 to 50% reduction within the first year is entirely achievable through structured SMED implementation. Facilities sustaining the discipline across 2 to 3 years frequently achieve reductions of 70% or more. The most significant gains occur early on by separating internal and external setup. Subsequent reductions stem from methodical streamlining of every individual task.

Is capital expenditure on new machinery required to reduce changeover times?
Not as a primary step. Most initial gains are derived from procedural standardisation and workstation organisation. Relocating external tasks outside the downtime window typically requires only disciplined routines. Later investments in quick-release hardware, pre-heating stations, or modular fixturing provide incremental improvements, but should only be prioritised after foundational standards are locked in.

Who should lead changeover reduction initiatives?
Continuous improvement engineers, production leadership, and shop-floor operators working collaboratively. Improvement leads govern the methodology and analytical tracking. Production leadership allocates necessary schedule time and resources. Frontline operators drive practical implementation. Without active operator ownership, process gains do not survive.

How do you measure a changeover accurately?
From the last verified good unit of the outgoing run to the first verified good unit of the incoming product, factoring in all thermal stabilisation, mechanical adjustment, and quality verification steps. Measurement should run automatically by transition type, shift, and operator so operational variance is exposed. Manual logging can serve as a crude starting point, but lacks long-term sustainability.

How do you ensure changeover improvements stick?
Through sustained, granular measurement. Changeover durations should sit front and centre on daily management dashboards rather than buried in monthly retrospective reports. If variance between changeovers begins to widen, it serves as an early indicator that standardised routines are drifting. The corrective action is to reinforce standard work on the floor, not to question the integrity of the data.