What is autonomous maintenance (TPM)?

Autonomous maintenance is one of the 8 Total Productive Maintenance (TPM) pillars, it aims to give both competence and responsibility for routine maintenance, such as cleaning, lubricating, and inspection to operators.

The aims and targeted benefits of autonomous maintenance

The ultimate goal of Total Productive Maintenance is to enhance machines’ effectiveness. TPM is a participative approach, involving all stakeholders and taking into account all aspects of maintenance. In order to achieve this goal, TPM is split in 8 pillars or topics. Autonomous maintenance is one of the 8 and is about simple mundane tasks, but having their importance nevertheless. The expected outcomes are:

  • Operators’ greater “ownership” of their equipment
  • Increased operators’ knowledge of their equipment
  • Ensuring equipment is well-cleaned and lubricated
  • Identification of emergent issues before they become serious failures
  • Freeing maintenance personnel for higher-level tasks

Operators’ ownership

Operator’s ownership of their equipment is meant to close the divide between Production and Maintenance in cases where the first claim “my job is to produce” and the second “my job is to repair”. This is mainly the case when production staff is incentivized on production output and maintenance is jealous about keeping its technical skills and prerogatives.

What happens then is that production operators do not usually care much about the equipment and machines they use and are prone to trespass speed limits, for example.

As they are not supposed to do anything about the machine breaking down, they soon find out that breakdowns are opportunities for an extra break, hence an extra smoke, one more coffee and so on.

As a result, machines stops last longer as they should: waiting for maintenance staff to come, discover the cause of the trouble, fix it, waiting for the operators to come back and resume production.

It can go the other way when production is strongly incentivized on units produced: any stoppage or breakdown jeopardizes the bonus and is immediately resented when maintenance doesn’t fix the problem fast enough.

What TPM is trying to do: give operators a sense of ownership of their equipment in order for them to take care, use it well, help maintenance technicians to find the causes of breakdowns by summarizing what happened before, and so on.

In order to achieve this, training must be delivered to both production and maintenance staff, focusing on the required cooperation for the sake of overall performance improvement. It will be a win-win cooperation: operators enriching their jobs with technical aspects and maintenance technicians being freed of low-qualification tasks for a better use of their real technical expertise. However, this must be done step by step.

Increasing operators’ knowledge of their equipment

Operator will use their equipment and machines correctly if they are trained not only for the use, but also a bit further into technical details. When operators have a basic understanding of how a machine works, they may be able to discover some causes of malfunction by themselves and give precious indication to maintenance team. With this focus, downtime can be reduced as maintenance does not have to go through a full investigation. If operators show interest and abilities, they may be trained further, to a point they can help maintenance with repairs, preventive maintenance tasks, adjustments, etc.

In my years as production manager with Yamaha, we brought teams of ladies to take care of the maintenance of automatic electronic components insertion machines. These ladies started as operators without any technical background, only feeding the machines. Step by step we trained them to take care of simple cleaning tasks, then adjustments, later exchanging more and more complicated mechanisms and finally be involved in major repairs.

Ensuring equipment is well-cleaned and lubricated

Before dreaming of repairing complex equipment, the journey starts with more mundane but important tasks: cleaning and lubrication.

But it’s more than that. Autonomous maintenance is about passing over  to operators the basic cleaning of the machines, lubricating and oiling, tightening of nuts and bolts, etc.

With these new tasks, operators will soon be able to take over daily inspection, diagnosis of potential problems and other actions that increase the productive life of machines or equipment. With appropriate prior training, of course.

Identification of emergent issues before they become serious failures

Cleaning and lubrication by operators is not a trick to reduce manpower costs by pushing tasks to lesser qualified people. On the contrary: TPM considers daily cleaning as an inspection and operators as subject matter experts. Indeed, operators using the machines and equipment daily are the best qualified detectors of early signs of problems. While cleaning they can detect: wear, unusual noises, vibrations, heat, smell, leakage, change of color, etc.

Using the machines frequently, they know best what is “as usual” and what is unusual. Someone hired only to clean and lubricate machines without using them would not be able to notice the forerunning signs of potential big trouble.

This daily inspection is key to reduce breakdowns by keeping the machine in good condition and by warning early – before breakdown – in order to remedy swiftly to unusual forerunning signs.

Freeing maintenance personnel for higher-level tasks

Putting skilled professionals in charge of challenges matching their expertise is certainly more attractive than asking them “to clean up other’s mess”, as maintenance staff frequently complain. Therefore the reluctance to train production operators for simple tasks and hand those over should not be a big deal for maintenance techs.

Production management should also see the opportunity to have better technical support for improvement and repairs, as skilled technicians are made more available. Of course, this comes at the expense of some daily minutes devoted to take care about machines instead of producing parts. In the long run, this should be a good deal, because less breakdowns, less scrap, fewer minor stops and faster changeovers thanks to technical improvements will pay back in productive capacity.

Finally, for production operators, the deal is to enrich their job with more technical content. For those immediately claiming acquisition of new skills deserve a pay raise, they should first consider that taking care of machines and equipment they are in charge is a basic expectation, not an extra requirement. Time will be given to do the daily maintenance routine. For operators it’s a shift of occupation content a few minutes a day.

Now this said, the question of a raise is to be considered in the context.

About the author, Chris HOHMANN

About the author, Chris HOHMANN

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Jim Womack’s hansei on where lean has failed

Lean leading figure Jim Womack posted a sincere and critical reflection (hansei) on where Lean has failed and why not to give up. I was impressed when reading it and it reinforced my respect and admiration for the author.

You can read the August 29th, 2017 post on planet lean (http://planet-lean.com/jim-womack-on-where-lean-has-failed-and-why-not-to-give-up)

>Lisez-moi en français

Jim Womack is someone to take seriously when he expresses himself about Lean, so when he posts an article titled “where lean has failed” it is probably not just a clickbait nor a questionable joke. Indeed, the critical reflection Jim shares is truly about failure from his point of view. And his point of view with regards to Lean is one that really matters.

Where lean has failed

The failure is, in Mr Womack’s opinion, manyfold:

  • It is the failure to get big organizations to transform themselves in a Lean way and have, at least, “another Toyota” emerging.
  • It is the failure to reverse offshoring, despite the rational proof that companies would be better off keeping operations close instead of trading labor costs for logistics and quality costs.
  • It is the failure to see disaffection among the workers and the growing acceptance of things as they are, without attempt to resist or change them in the Lean Community itself.

This hurts.

I am impressed by the courage to analyze and acknowledge that situation of someone who dedicated his life to promote Lean and share the knowledge. After all the enthusiasm, hype, hope and successes, this must be bitter.

Many people in Mr Womack’s position would deny the situation and keep going on, their ego not allowing them to acknowledge failure. Jim Womack not only has the courage to do it, but refuses to give up and want to avoid the “muda of denial about the situation”.

What I see from my narrower and European (mainly in France) perspective is consistent with Mr Womack’s analysis: the number of lean managers and continuous improvement champions soared in the last years but no company advertises or gets attention because of drastic improvement of its performances.

Furthermore, when called for assistance in companies, I am most of the time appalled by the (very) limited competences of the people in charge of Lean or operational excellence, a fact also reported by Karen Martin in a post on the Lean Edge https://www.theleanedge.org/256088-karen-martin-technical-proficiency-and-leadership-acumen-can-you-nail-the-problem-statement-first-time-right/

So yes, “doing Lean” is reduced to running small kaizen workshops here and there without consistency nor link to a strategic intent. It is merely about patching broken processes,solving local problems at best, or opportunistic muda hunting.

This keeps the additional layer of “Lean” bureaucracy busy and living easy with a lot of complacency about local qualitative results. Once a 5S workshop went through the first 3Ss, they’re done and feel “Lean” now. This is how Lean looks like too often.

No wonder the questions about “what’s next” or “is lean dead?” arise.

Considering Lean transformations, like many armchair generals giving strategic advice in hindsight, I would say that Jim Womack and people around him did well  addressing the diagonal of the 2×2 change matrix: promoting the “pot of gold”, metaphor for reward and benefits of the change, as well as warning about the “alligator”, symbol of the danger of the status quo. I remember well Jim recommending to have a burning platform or even create a crisis to get the change done.

This was the rationale promoting the change, the Lean transformation.

What could have been underestimated was the other, emotional diagonal of the matrix. Many of the decision makers are in love with their “mermaid”. By definition, a mermaid cannot leave the sea and therefore the decision makers stay put, close to the object of love and happy with the current situation. A happiness, they believe, they can enjoy ONLY in their current situation.

Maybe the decision makers are risk averse and see nothing else than the frightening perspective of the “crutches”, the metaphor for risks and big efforts. Indeed, many decision makers may jeopardize their actual position if they dare going for a disruptive transformation with unforeseeable results. Leading a Lean transformation requires leadership, courage, confidence and the necessary freedom to act.

Why not to give up

Despite this bleak picture, Jim Womack is not ready to give up nor let “the muda of defeatism” get in his way. If no other Toyota is likely to emerge, other success stories can be reported. Successes may be experienced in and with start-ups for example.

Acknowledging the limits of the actual Lean promotion and Lean methods training ways, mainly through workshops and workbooks, Jim calls for “thinking hard about more effective ways to pass lean knowledge along to the next generation”.

The last paragraph of Jim Womack’s post sounds like a firm resolution “to rethink the (Lean community) tactics, stick to its purpose, and better understand the challenges preventing it from staying on course”.

I encourage everyone to read the original post as well as to have a look on the comments.

Personal conclusion

It is a sad read, but I can only agree. I empathize with Jim Womack and again, I am impressed by his courage and humility.

Even if Lean loses its shine, I still measure what it brought – and still brings – to me. I think that true Lean-understanding people, once “infected”, will not get away from Lean Thinking. I will continue to promote and use everything Lean at personal and professional level, wherever and whenever it’s meaningful, which should be pretty often. Fashionable or not.

My personal belief is that Lean (Thinking) will keep lingering in operations, but the emphasis will probably shift upstreams to Product and Process Development. I also think that the irresistible wave of digitalization and all the news techs around smart factories will reshuffle the cards on how to plan, organize, drive and strive. All new opportunities to reinvent business and the philosophy, methods and tools that must come with.

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Is Lean dead?

Is Lean dead? is the provocative title of a podcast hosted by Mark Graban with guest Karen Martin. The question, the podcast description says, is “easy to discuss, but hard to answer”.

The reason Karen proposed to discuss this question is because of hearing and reading about “what’s next”, “is it time for something new?” and what seems to be a waiting for a “post-Lean” world.

There is an invitation to share thoughts about this, but instead of leaving a comment on Mark’s podcast-related post, I add my two cents here. I hope Mark and Karen won’t mind this piggybacking.

Some takeaways from the podcast

From 4:35 Karen frames the topic and from 6:05 she shares her thoughts, especially two reasons for the “what’s next?” question (rephrased by me):

  1. people don’t get great results from Lean and quit too early with the conclusion Lean doesn’t work
  2. the attention span, especially in business, is (very) short

By 19:45, Karen reminds the listeners that Lean is made of layers of quite “meaty” subjects and is made for constant learners. Yet Lean teaching programs cannot (?) do not go very deep into Lean beyond chosen tools. So it’s up to everyone to go for a never-ending learning journey. At 43:00 listeners get the wrap-up.

My thoughts on this

Ironically, the introduction of new methods and tools was once mocked as “the flavor of the month” with the preconceived belief that it won’t last. Now that Lean has demonstrated a longer lifespan than other management ways, it seems to be precisely too lasting in a time where  fashions come and go very quickly.

The methodologies life cycle

However long Lean is around now, it follows the same life cycle curve than others, made of a slow takeoff as long as long as no organization publicized extraordinary achievements with this approach or no book draw wider attention to it. Once the word spread, the methodology gets hype and many organizations and consultants go for it. After the hype spike, there is a loss of interest and a final plateau. In this later stage the methodology does not totally disappear but does not get the attention it once had.

In that regard, the methodologies life cycles look very much like Gartner’s hype cycle for technologies.

I started my career in the midst of Total Quality Management (TQM) hype, in the mid-1980s. Who aged less than 40 knows about TQM? It is still around in some form, like in the various ISO standards, but it does not get the excitement of the all the problem solving tools deployment TQM once had.

Similarly what happened to Total Productive Maintenance (TPM)? Parts of it is embedded in Lean and some companies keep TPM alive, but I barely hear anything about it anymore.

My friend and mentor Bill Dettmer witnessed the same phenomenon with Theory of Constraints. Not totally gone now, but barely known and not likely to get its fame back again. Six Sigma is said to be dead or is reduced to SIPOCs and DMAIC.

So maybe time has come for Lean to lose attention of the mass and remain a thing for true believers?

Quick wins and newcomers

The impatience about the post-Lean next thing can also come from the younger staff that did not experience the first attempts with Lean, when the organization was so inefficient that almost any structured tool deployment and kaizen events demonstrated significant quick wins. After a while and continuous sustained efforts, the remaining pockets of gains are few and hard/long to address. Newcomers experience Lean from hearsay or don’t notice anything about Lean because they are amidst of a more or less Lean environment. It’s just part of the scenery and nothing to get excited about.

Furthermore, many people have been repeatedly exposed to Lean methods and tools, have been involved in Lean workshops, kaizen events, sketched Value Stream Maps and identified wastes, sorted out, cleaned up and rearranged stuff 5S style. They share the feeling of being Lean, of being done with Lean.

The startup praise of failing fast and pivoting

My last thought about the possible fading of Lean is the growing influence of the startup movement and the praise of failing fast and pivoting. It keeps surprising me that failure can be praised, even so I understand the value of learning from failures. One Undesirable side Effect though may be the spreading of the belief that anything that does not work quickly is a failure – ok, we learned something – and it’s time to move on with something else.

Pivoting is getting away from an original idea that does not prove good fast enough and go for something else that can be 90 or 180 degrees from the original intent. What can make sense in a startup venture, stopping the experiment before the scarce resources are burnt up, may not be the suitable option where long commitment to cultural change and constant learning is required.

With allusion to Kahneman’s work, I think that for business there is a fast way and a slow one, and Lean is definitely a slow one.

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Jargon doesn’t make an expert

In a blog post I read the warning about candidates exaggerating their insight by using lot of jargon. It was about Lean Management. The author stated that when recruiting, mastering enough Lean vocabulary is important in order to catch candidates exaggerating their insight by using jargon. Any talented Lean manager can explain the same concepts without Lean management specific language, the author wrote, but inexperienced or unskillful interviewees may lean (pun intended?) on “concept-dropping.

Even so I agree with everything above, the heavy use of peculiar lingo is not specific to Lean and Lean “experts” are not even the worst.

>Lisez-moi en français

I remember a recent (July 2017) conference in which a speaker delivered a pretty convincing presentation about a somewhat uncommon approach we are familiar of. One of my colleagues, intrigued, went to see the speaker and asked him a question on a specific aspect only a true experienced expert could answer. This very question reminded the speaker of an important call he had to make and he vanished. He was indeed only “concept-dropping”.

Nothing really new. Molière, our most famous (French) playwright and actor (1622 – 1673) used to ridicule the physicians of his time in several of his works. Those experts were depicted as pompous and disputing in fantasy latin about this or that just to impress their audience or others fellow “experts” with fake erudition, while their patients usually were bleeding away.

In French slang, a “faisan” (pheasant) is a crook, a good-looking but stupid pretender. I used to hear fake experts being called “faisans”. Nice feathers, but that’s barely all.

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What is Lean Coffee?

A Lean Coffee is a semi formal* meeting in which participants choose the topics they want to discuss, vote for the topics and then discuss the most voted topics during a limited time period. At the end of the ‘timebox’, the group decides to continue or switch to the next if they feel they got enough.

*by semi formal I mean the meeting is structured, but either agenda-less or very flexible about contents.

Lean coffee start is credited to Jim Benson and Jeremy Lightsmith back in 2009 in Seattle.

Advantages of a Lean coffee

Traditional meetings are moderated in ‘push mode’: the organizer sets up an agenda and invites participants. Those may have different interests in attending the meeting, ranging from very high to almost none. Nevertheless it is often difficult to avoid attending even if interest is low and there is seldom a way to influence the content as an attendee.

In Lean coffees, the moderator ‘pulls’ the topics from the attendees, which gives everyone an opportunity to have his/her point of interest discussed. If a proposed topic does not get many votes, the attendance may not be the suitable one or the topic is indeed of no interest.
Another specific meeting may be organized or the topic left off the list.

Pulling the topics from the attendees is also a way to show respect and fight the eighth muda. Jim Benson states “When we invite people to meetings and give them a strong agenda up front, we are completely robbing ourselves of the wisdom the attendees would bring with.
In other words, Lean coffees trades passive listeners for active resources and knowledge sources. Attendees are not supposed to leave their brains at the door but bring them in and use them.

Lean coffees are time-boxed, which forces to keep focus on the subject. The participants get a feeling of greater intensity and effectiveness compared to traditional meetings.

Here is a selection of videos about Lean coffee.

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Continuous Improvement: Prevent frustrations related to the S curve

When implementing some solutions, like in continuous improvement, project managers better take care about the frustrations related to the S curve.

S curve

S curve

The “S curve” is the shape of the performance curve over time. It describes a latency (t1) before the performance p1 takes off after the improvements have been implemented, then a more or less steep rise before stabilization at the new level of performance p2.

This latency time after the first improvements until improvements become noticeable has several possible causes and can pose different problems.

>Lisez-moi en français

The most trivial reason for a lack of significant effects after a while is that the solutions put in place do not produce the expected effects. It is therefore advised to estimate in advance, at the moment improvements are implemented, when the effects should be noticeable, in order to have an alert when the estimated time is elapsed.

Another trivial reason is a long cycle time. This may be the case with lengthy process of transformation, processing time or latency inherent to the process before the success of the operation can be judged. Typically, these are technical lead times, time required for chemical or biological transformation processes or “responsiveness” from third-party organizations, etc.

The delay may be due to the improvement process itself, which may require several steps such as initial training, implementation of the first improvements, measurement of their effects and time to analyze them.

Another reason, that may be coupled with the previous one, is Little’s law. It states that the lead time through an inventory or queue of work in progress (WIP) is equal to the value of this inventory divided by the average consumption. This means that if the improvement occurs at a point decoupled from the measurement point of its effectiveness by either inventory or WIP, the effect must first propagate through the queue before it can be detected. Everything else being kept equal.

Please note that this delayed improvement phenomenon or “S curve” described here in the context of continuous improvement can be found in the implementation of any project.

This discrepancy can be a problem for Top Management awaiting return on investment and wishing it as quick as possible. This is all the more true if the activity is highly competitive because an improvement can determine the competitiveness and/or profitability of a project, an offer or even of the whole organization.

It is therefore recommended that the project leader reminds the likeness or certainty of the S curve, even to the managers pretending to know it. Under pressure of business they tend to “forget” it.

The second problem with delayed effects concerns those closer to execution who expect some benefits from improvement, such as problem solving, elimination of irritants, better ergonomics, etc.

Assuming that the operational, shopfloor staff have been associated with the improvement, their frustration and their impatience to see changes is even more important. Without promptly demonstrating that “it works”, there is a significant risk of losing their fate, attention and motivation.

In order to prevent this, the project manager must choose intermediate objectives in short intervals in order to be able to communicate frequently on small successes.

The recommendation  is to look for a weekly interval and not exceed the month. The week represents a familiar time frame to operational staff, and the month being, in my opinion, the maximum limit. Beyond the month it usually becomes an abstraction and attention gets lost.

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Future of Lean: is a robotic motion a waste?

Motion and transportation count among the 7 basic muda or wastes, that should be eliminated or at least reduced to their bare minimum in order to be leaner.

Now, with the probable rise of robotics, will robotic motion (and transportation) still be considered a waste?

The Lean definition of waste is any consumption of resources, including time, that does not add value. Motion and transportation do not transform nor modify parts or products to something of greater value for customers.

If the transportation means or resources used to move parts or products change to high-tech solutions, the definition of waste remains valid. They may reduce the related time, the strain on human operators, be autonomous but whatever, moving or transporting something is still a (necessary) waste.

The same applies for robotic motions. Thanks to their multi axis construct, robots may be more efficient in motions than humans, thus reducing time, nevertheless, the motion remains a waste.

What about vacuum cleaning robot,robotic lawn mowers or autonomous vehicles?

These devices deliver a service a customer is ready to pay for: having a clean floor, a cut lawn or being transported somewhere. In the current state of technology, there is no way around a moving device.

I am not aware of self cleaning flooring and clean room solutions may not be affordable for households.

Motion and transportation are in those cases part of the value-adding process. That said, if the vacuum cleaner, lawn mower or autonomous car travels more than necessary for purpose, the excess motion/transportation is… a waste.

Any thoughts to share? Use the comments.

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OEE Rescue: OEE is composite and does not tell much per se

Overall Equipment Effectiveness (OEE) is probably the most widespread and well-known among KPIs in industry, which does not mean that everyone likes it. OEE rescue is a series of posts that aim to balance the love-hate comments about this KPI as well as debunking some myths and misconceptions.

In this post: OEE is composite and does not tell much per se

Yes, OEE is composite. OEE is expressed in a single dimensionless value. It’s a ratio, a multiplication of 3 other ratios (availability, performance and quality).

Not familiar with OEE? Follow this link

What I immediately liked when I discovered OEE is the fact that multiplying 3 fractions leaves the result smaller than the smallest fraction, meaning it is a very aggressive and challenging KPI.

Any worsening of one of the 3 constituent will amplify the worsening of OEE, which in turn should trigger quick countermeasures to stop the KPI to plunge.

I do not agree OEE per se doesn’t tell much. The original intent, I assume, was to provide management with a single value in order to get an instant feeling about how the overall performance stands, as well as a convenient benchmark when comparing machines, lines, workshops or factories. And it does the job well..

This advantage of being synthetic is also a drawback as it is necessary to “disassemble” OEE to its components in order to understand which of the availability, performance or quality is the evildoer.

But again, I see here an interesting “constraint” for management: the head of department will review OEEs and get a broad feeling about how well the various lines or cells of his/her realm are doing. When intrigued or alarmed by a poor OEE, he/she will turn to the supervisor or line leader to get more information.

The latter needs to know more precisely what’s going on as it is his/her responsibility to keep OEE at best. This required dialog is, from my point a view, a good way to have management commit to interact in both directions: top-down and bottom-up.

I suspect that the managers not liking OEE struggle to drive and maintain theirs on the expected level. Instead of looking how to boost their OEEs, they probably prefer criticizing the concept.

It is one thing to display a quality rate of 93%, a machine availability of 90% and a performance rate of 95%, which at first glance look good, and another thing to report a OEE of 79.5% which is exactly the same (0.795=0.93×0.90×0.95), except for the perception.

Yes, OEE is humbling.

By the way, there are other KPIs that are composite like the On-Time-In-Full (OTIF). When OTIF is bad, is it the On-Time or the In-Full part that hurts? You don’t know until you dig deeper into the details. Would you dare replying to your furious customer measuring your performance with OTIF that this KPI is composite and does not tell much per se?

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5 things to remember about 5S

I assume readers are aware about 5S. The 5S are a methodology when beginners discover them through a structured way of teaching. They hopefully turn into an approach for organizing the workplace, and eventually a philosophy for those embracing the 5S principles for guiding their personal behaviors.

Read more about Approach, philosophy or methodology

Here are 5 things to remember about 5S:

1 – 5S look easy but aren’t

5S look disappointingly simple. The traditional learning way takes the beginners through a 5-step implementation program, usually one step at a time.
This tutored and hands-on journey makes the 5S look really simple and that’s a good thing. Yet 5S’ difficulty is nothing technical nor about the principles (“all common sense”), but about getting people to think and behave differently. This is about change management.

2 – 5S are too important to be delegated to interns

If you agree with point number 1 and on the importance of 5S as a necessary foundation to build operational excellence, then you cannot delegate the 5S rollout to someone who is not fully part of the organization and not having the required authority and leadership. Considering 5S as a secondary chore and delegating it to an intern is one common management mistake about 5S.

3 – Forget about Return On Investment

5S are a basic Necessary Condition for providing an efficient and safe workplace, and from then on developing operational excellence. As such, 5S are not rolled out in search for ROI. The gains, hence ROI is pretty difficult to evaluate. How to valuate 20 square meters of warehouse freed from clutter or a better looking, clean and stainless workshop?
If the decision to go for 5S is a matter of ROI, this choice is as meaningful as deciding the ROI of brushing teeth or showering is worth it. By the way, 5S are considered “industrial hygiene”.

4 – You’ll be never done with 5S

Even an organization managed to have a full cycle of the 5S completed, it can’t claim it’s done. 5S are simply never-ending. First because it is so easy to slip back to old behaviors, to take it easy on discipline. Second because the conditions change over time and 5S rules and practices have to be adjusted. Newcomers may join and have to embrace 5S as well. They have to be trained, mentored and maybe they’ll bring in new ideas worth implementing.

5 – 5S is not about housekeeping

This is a common misconception about 5S: it’s not about housekeeping, constantly scrubbing and cleaning. 5S is about avoiding to clean and scrub, about getting smart and avoid spilling dirt and creating mess.Even cleaning and scrubbing might be necessary at the beginning, it is advised to find ways to avoid it quick because nobody likes those chores. So 5S is not about housekeeping, 5S are continuous improvement.

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Standing in the Ohno circle. And then?

Ohno circle is also known as “Taiichi Ohno’s Chalk Circle”, a circle drawn on the shop floor to materialize the observation point from where to learn to observe, see, analyze and understand.

The original method puts (commits?) the “disciple” in such a circle for extended time with instruction to watch and not leave the circle. After the time the master judged sufficient, he (would a lady-master do this to others?) will ask the disciple to tell what he/she have seen, of course expecting to feedback on something the master’s attention got caught.

I would probably never had impressed Ohno that way, nor would I have appreciated this kind of treatment. With such a vague assignment and a “creative brain”, my observation would probably have turned into a virtual mind stroll.

Getting a scolding afterwards for not having experienced an epiphany (e.i. the great revelation) while dreaming in my circle or for having dared stepping out of it would not have pleased me, at all.

As I never was never told to do it and never have done it this way, the reservations and benefits I express in this article are merely assumptions.

My reservations about the chalk circle

Holding a static position for observing and understand when there is no other reasons than the master’s saying so does not make sense.

Observation and understanding is certainly easier and more effective when observers can change point of view and ask questions.

Executing a task without knowing the purpose is not very motivating and just been told to “watch” without moving from the spot is not very respectful.

Hence my question: Couldn’t it be nothing else than a manager-humiliating exercise disguised as a master’s skill?

Being told to watch may lead to have too much to look at, especially when not familiar with the environment. Chalk circle promoters will answer that this is precisely what the exercise is meant for: get and overall impression then gradually become aware of things in foreground/background, what is normal and what is abnormal and eventually focus.

So far so good, but does a manager need such a constraint method and spend several hours to get a fair level of understanding? In the era of high speed and volatility, the understanding-to-time ratio does not make the chalk circle a method with reasonable ROI.

Lean Management has long promoted Gemba Walks, not Gemba Stands, where the motto is go see, ask why and show respect.

This way is probably far more effective than standing hours in a circle.

If it wasn’t the case, Lean gurus and the Lean community would have made it clear, long time ago.

Being convinced to have observations and analyzing skills and voluntarily spend time watching from a static standpoint may lead to erroneous conclusions, a risk easily mitigated when changing the vantage point and interacting with subject matter experts.

To me the chalk circle method looks outdated and rooted in asian master-to-disciple apprenticeship, no more fit for purpose in current times.

Benefits (Devil’s advocate)

Over the years and with more experience and wisdom, I’ve somewhat softened my first impression and could see some benefits about observing while “standing in a circle”.

There are some situations in which walking around freely to observe a situation and asking people questions is simply not possible.

In such cases, having developed ability to watch, analyze and understand is indeed a great asset. Think about my trade as a consultant during diagnostics or a buyer during a supplier’s assessment.

Organized factory tours are other instances with limited possibilities to move freely or get good answers to questions. Here again, the individual ability to observe and understand is a great asset as it will yield more information than the host is willing to share.

In some cases, the knowledge about something isn’t existing and there is noone to ask for explanations. I experienced this in a factory, facing a machine with unstable performances, in a noisy and space-limited location. Spending several hours in several sessions, taking data and observing the machine’s cycles helped me understand the kinematic and some of the malfunctions.

What to look for?

Alright, I have shared my cons and pros, now what can I recommend to look for when observing, in a circle or not?

  • Look for the sequence. In industrial production, in logistics or in services, what you’re looking at may be in some degree a repeatable process. What is the sequence? In what order are things done or do things happen?
  • Look for harmony. Mastered motions are seamless. Controlled processes are operating smoothly.
  • Count. Count the resources involved, the physical units moved, produced or consumed. Count the steps walked, the number of times one person have to stoop, to pick up the phone or turn to someone.
  • Estimate. If counting is not easy or impossible: estimate. Get a sense of duration, of time elapsed between two events.
  • Look for consistency. Do your counts or estimates repeat themselves sequence after sequence or do you see variations?
  • Look for disturbances. What/who is disrupting the flow? How frequent and how long is it?
  • Look for the bottleneck. Is some spot the accumulation point where flow is significantly slowed down? Why? Is it managed?
  • Search for the muri, mura and muda, the 3 evil doers from a Lean point of view. Muri and mura are lesser mentioned, so try to spot them first. Chances are muri and mura, if they exist, will induce some muda.

These are a few hints. The question list could go on endlessly. But if your observation exercise ends up with answers to most of these questions, it may have been worth the time spent.

Feel free to share your comments and experience.

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