A cross-functional team gathered around an assembly cell, adjusting benches and material positions during a kaizen event.

What a kaizen event is

A kaizen event (also called a kaizen blitz or rapid improvement event) is an intensive effort, usually 3 to 5 days, in which a cross-functional team analyzes one process, tests changes right at the workplace and leaves the new method running by the end of the week. Unlike daily continuous improvement, it concentrates people, time and decision authority on a single target.

It is one way of applying kaizen, close to what flow kaizen describes. The key point: when the event ends, the change is implemented and measured, not just proposed in a report.

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Kaizen event visual map

The map summarizes the three phases, the five-day schedule and the result of the example in this article.

5-DAY KAIZEN EVENT
Visual map 188: Kaizen Event (Kaizen Blitz): How to Plan and Run One in 5 Days. Click the map to see it full size.Download the map as PNG

Before the event: what must be ready

The event is won or lost in the two weeks before it. Without preparation, day one is spent hunting for data.

  1. Narrow scope: one process, one cell or one product family. "Reduce lead time in assembly cell X" works; "improve the plant" does not.
  2. Measurable target: for example, reduce WIP and lead time without adding people.
  3. Sponsor: a manager who releases the team, approves layout changes and attends the final readout.
  4. Team of 6 to 8: operators from the area, maintenance, quality, process engineering and one person from outside the process who questions what everyone considers normal.
  5. Current-state data: daily volume, cycle times, work in process, scrap, layout and photos or video of the workstation.
  6. Logistics: a room near the area, test material, tape, cardboard, stopwatches and maintenance support to move benches.

Capture it all in a one-page charter: problem, scope, target, constraints (what cannot change) and members. An A3 report works well for this.

The 5-day schedule

DayFocusDeliverables
1Train and understandBasics (waste, takt), trip to the gemba, current-state measurement
2Analyze and generate ideasFlow map, spaghetti diagram, causes via 5 Whys, prioritized idea list
3ImplementLayout change, kits, visual signals, first real trial
4Test and adjustPost-change measurement, fixes, written standard work
5Standardize and presentTraining for all shifts, 30-day plan, management readout

The rule for day 3 is "cardboard before bolts": simulate benches and racks with temporary material, validate with the operators and only then fix things in place.

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Worked example: an assembly cell (fictional case)

A cell serves 120 units per day. Before the event it had 4 operators, 240 units in process and 48 m of walking per cycle because of an island layout. By Little's law, lead time is work in process divided by throughput:

Lead time = WIP ÷ throughput = 240 ÷ 120 = 2.0 days

The team joined the benches into a U-shaped cell, created component kits and capped WIP between stations. Result on Thursday, at the same demand of 120 units per day:

MetricBeforeAfterChange
WIP (units)24060−75%
Lead time (days)2.00.5 (60 ÷ 120)−75%
Walking per cycle (m)4818−62.5%
Operators43−1 person
Units per operator per day120 ÷ 4 = 30120 ÷ 3 = 40+33.3%

The numbers are illustrative. What is worth copying is the method: measure before, measure after, on the same demand base. The freed operator was reassigned, not laid off; agreeing on that before the event prevents resistance. See also how to calculate lead time.

When to use it and when not to

Use whenAvoid when
The problem is clear and local (flow, layout, changeover)The cause is unknown and needs weeks of data
There is a sponsor and the team is releasedPeople can only join "when there is spare time"
The fix relies on quick physical changesThe fix needs a long purchase or an engineering project
The area needs a visible win to build trustThe area is in a staffing or delivery crisis

Good targets: changeover time with SMED, cell layout, line replenishment and information flow. Complex quality problems call for a longer PDCA cycle.

After the event: sustaining the gain

The biggest loss from a kaizen event is sliding back to the old state within 60 days. To prevent it:

Common mistakes

Frequently asked questions

What is a kaizen event?

An intensive effort of a few days, with a cross-functional team, to improve a specific process and leave the change implemented at the end of the event.

How long does a kaizen event last?

Usually 3 to 5 days, plus preparation in the preceding weeks and follow-up at 30 to 90 days.

Who should take part?

Six to eight people: operators from the area, maintenance, quality, engineering and one participant from outside the process, backed by a sponsoring manager.

What is the difference between a kaizen blitz and daily kaizen?

A blitz concentrates team and time on one target to get a large change quickly. Daily kaizen involves everyone in small, constant improvements.

How do you measure the result?

With before and after metrics on the same demand: WIP, lead time, walking distance, output per operator and scrap.

What if the gain is lost afterwards?

Review the standard with the operators, strengthen leader audits and keep the metric visible; usually the routine is missing, not the idea.

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Sources

  1. IMAI, Masaaki. Kaizen: The Key to Japan's Competitive Success. New York: Random House, 1986.
  2. LARAIA, Anthony C.; MOODY, Patricia E.; HALL, Robert W. The Kaizen Blitz: Accelerating Breakthroughs in Productivity and Performance. Wiley, 1999.
  3. ROTHER, Mike; SHOOK, John. Learning to See. Lean Enterprise Institute.
  4. LIKER, Jeffrey K. The Toyota Way. McGraw-Hill, 2004.

Keep studying: trusted sources and links

Save this address: Manufatura Enxuta is your school for lean manufacturing. Come back whenever you need to study, with a complete article, a visual map and trusted sources. Follow one of the learning paths or check the A–Z glossary.

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About the author

Vagner Soares

Lean Manufacturing & Behavioral Management Specialist

Over 20 years in the automotive and metalworking industries (GM and Dana), Lean Manufacturing practitioner since 2006. SENAI instructor and mentor in Brazil’s Brasil Mais Produtivo program, delivering consulting, training and audits for 50+ companies, combining quality, productivity and people development.