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Food Production – Kaizen

 

We are a $25 billion food business company and our plant that produces dried product for industrial and food service applications.

 

Throughput on machine #3 has slowly reduced from 13,500 lbs. / hr. to 12,000 lbs. / hr. over a period of 3 yrs. This increased the number of days the machine must be in operation to complete the annual workload that lasts approx. 5 months. This resulted in $140,000 of additional operating costs. Several ad hoc changes to the machine have been made over the past 3 years with no measurable impact on throughput.

 

Using a Kaizen process, my team (Practitioner Certified) facilitated a team of Operators, Mechanics, Engineers and Supervisors to utilize problem-solving tools and techniques to restore machine #3 throughput back to 13,500 lbs./hr.  The start of the next pack season was only 3 months away, so corrective actions needed to be implemented immediately.

 

The Team members used the Kaizen approach with documented Kaizen sheet. The appropriate root cause analysis tools were used to attack this problem

A detailed execution plan was finalized with sign off by the Management Team.   

 

The Team took a GEMBA walk to fully understand and validate the function and current condition of the equipment. We then created and grouped the info into 4M Fishbone diagram. The top 5 issues in frequency were run through the 5Why analysis to identify root causes. A complete list of key issues/counter measures(using the countermeasure ladder) was generated and an action plan to close was agreed upon by the team and presented to plant management for buy in.

 

After completion of the action plans, machine #3 throughput reached 13,500 lb./hr. throughput. All changes were documented, visual controls were added to the equipment, a maintenance plan developed, and key operators were trained on proper set up and operation of the machine.

 

 

AskLDI Case Studies – food production kaizen

The Energy industry is getting more and more price competitive. Our competitors are under cutting prices to win the business. We have defined a key KPI in the market that enables us to keep prices on a somewhat higher level, if this KPI is at an outstanding level. The KPI is Lead time from order to delivery. A major part of that lead time is design and release to manufacturing

The Lead time for Design request to delivery of product is too long averaging 38 days. We have lost business as a result.

My Team was set with the task of a reduction of lead time from incoming design request, to product release for manufacturing.

The target was set to a Lead Time of 10 days

We used a universal cross functioning team of internal stakeholders from Sales, Customer Service, Design, Quality and Production.

We used the PDCA approach with an internal Practitioner Certified led facilitator, to ensure sustainability and expanded the process on an international level.

We created a Process map to understand the current state and identified the losses. The Team was trained in flow and design to deliver methodologies. We developed a future state map and identified 8 projects that would take us to our target. All projects were successfully executed using Practitioner Certified support, with all project KPIs met.

 

The results were Lead time reduced from 38 days to 3 days

We secured mew business as a direct consequence with annual revenue of $850,000

AskLDI Case Studies – Energy Industry

We are a $40 million hydraulic component business company and our plant that produces cylinders to mobile equipment.

 

We had done a flow analyzes and found that a CNC machine was limiting our ability to produce the number of variants we needed. The set-up time was too long and the variation between operators around 100%.

 

Using a SMED process, our team (they are now Practitioner Certified) worked with the team of operators and followed parts of the SMED process. We chose to concentrate on two things.

  1. Training of operators
  2. Moving internal work to external work

 

We used an A3 sheet and worked for one week. We followed the PDCA approach to the focused areas and had Management visiting every morning to get support and to allow them to be informed. A detailed execution plan of the training for all shifts and replacement operators was finalized with sign off by the Management Team.   

 

We video filmed the set-up we chose to focus on and chose the most experienced operator to learn as a team, he also learned since some team members had a really good way of dealing with some tasks. We watched the video together and discussed the content and mad e the detailed plan together before developing One Point Lessons and started to train everyone.

 

After completion of the action plans, the machine set-up for the chosen set-up type was reduced with 53% and the variation was +/- 5%. We kept the follow up on our daily meeting board to. Make sure we hold the gains.

 

AskLDI Case Studies – Component Production SMED

We are a $90 million Automotive product business. We make components for cars.

In one of our production cells we found that our OEE (Overall Equipment Effectiveness) was just over 50% and we struggled to deliver. The OEE was varying a great deal and we found it stressful to try to meet the demands.

We started to collect data for short stops (minor/small stops) because we didn’t have that many breakdowns. Our data showed that we had operator missing for 38% of the time. We added a spaghetti chart for some operators to understand movements.

Using a Kaizen approach and PDCA thinking, we gathered the data and found that operators where asked to do several activities away from the machines, such as first piece inspection, moving material, data logging, SPC, etc. We locked at the countermeasure ladder and as a team we developed an idea to add a water spider. The reasoning we had was that the activities outside of the machine has to happen, so we have to find a way to do that without losing production time. A cost and benefit calculation showed that if we could add one person, we could eradicate close to 100% of the short stops.

The presented the findings and the calculation to the management who realized that we were correct.

We added 1-person per shift and followed the short stops for 2 months.

We found that we still had shorts tops and the team met again. It became clear that we needed a signaling system to alert the water-spider. We added Andon lights to support that and kept following the data. Loss eradicated.

We increased the sales and output and the cost was deducted from the calculation. (I’m not allowed to share the USD for that)

We made sure we had SOPs for all activities and trained all persons.

AskLDI Case Studies – Automotive production kaizen

In the past, I struggled to speak in front of people. It was a real struggle and I was very fortunate to break that mindset.

I meet people who feel that speaking in front of people might kill them. For them the fear is real and I totally understand that.

Here’s my story. I hope it inspires you.

I used to struggle terribly to speak in from of others. What about you. Here’s my story.

When customers ask me how I create visions I ket them know how I practice…they are always surprised.

How do you Practise dreaming? I use a surprising technique…what’s yours?

OFE is a Performance Indicator that is meant to put the focus of improvement activities on flow of material. With flow of material, we mean flow of products from incoming raw material to shipment of billable products. Focus on flow will lead to an improvement of business targets like:

  •      Improved On Time Delivery
  •      Decreased inventory days of supply
  •      Return on Sales/EBITDA
  •      Return on Net Assets, RONA

These business KPI’s are the result of the processes and can only be reached by reduction of losses.

Background

Historically businesses have focused on Overall Equipment Effectiveness (OEE and more about OEE later) as a Performance indicator that has a big impact on the business. In part that is correct, however, it has led to an unhealthy focus to improve OEE. It’s unhealthy in the way that companies have targeted set up time as one big and easy to attack loss, that has led to bigger batches. Bigger batches of products that sit in the house too long and in some cases, are finally obsolete and causes a cost when scrapped.

Running a business where machines are working in a flow to deliver the products means synchronization of the products must take precedence and the OEE focus disrupts that thought process. The disruption comes from the fact that running a machine with OEE focus makes you chose products that shouldn’t run now and batch size bigger than the customer need. Running a bigger batch, putting several customer orders together or adding a safety stock to the batch, is reducing the number of setups which gives you more time to produce and your OEE will increase. Doing that also means that you are producing products you can’t sell right now and that will lead to high inventory, low On-Time Delivery, and a lower financial result.

Definition of Overall Equipment Effectiveness

OEE=Produced parts of correct quality/Theoretical number possible.

A simple way to say this is; If you plan to run for 10 hours and your technical run rate (as fast as the machine can run) is 100 pcs/hour you should have 1000 pcs. If you, for example, have 650 pcs of the correct quality you have OEE=650/1000 =65%. There are many reasons why you lost 350 pcs during that time. The reasons are called losses. A loss is basically the difference between the perfect ideal state and reality. Examples of losses are; Set-up time, shortstop, breakdown, defects, speed loss etc. If you reduce a loss you will gain time in the machine and produce more parts or the time can be used for other things like setting up to a new order line. This is driven by the actual business need. Do you need more volume or do you need to run more exact to customer demand? All business wants both however at a certain point one is more important than the other.

What will an OFE focus lead to

A focus on OFE leads to a combination of OEE and planning for the customer need.

Definition of OFE

OFE=OEE*GPF

Good Production Factor is defined as the products you produce that can be sold within a defined time frame. The time frame is set by a good business standard for the respective industry you are in. GPF can be and should be, changed over time to create a base for continuous improvement.

Good Production Factor – GPF

For example, if your industry standard says that product should be sold within 30 days of completed operation, you can evaluate the percentage number of products that were sold within the time frame.

Example calculation

For a given machine the OEE is 65% and 50% of the products produced are sold within the time frame. OFE calculation gives OFE=OEE*GPF OFE=0.65*0.50 OFE=0,325 =32.5%

If we would reduce the batch size and do an additional set-up we will lose in OEE, however, we might sell a higher amount of product produced. In this example increased set up reduces OEE with 5% units but gives you a chance to run another order line and increases GPF with 20% units. This is just an example and reality is different.

OFE=0.60*0.7=0.42 OFE=42%

This means that we carry less inventory, deliver more order lines. It costs in OEE but if we still can deliver the volume and don’t have to hire more people to do that, there’s no real cost to it.

A higher OEE can lead to a better OFE as well if the GPF is constant.

If set-up time is reduced by actual improvements to the standard and the time saved is used for more setups to allow more orderliness through it will potentially keep OEE at the same level while improving the GPF. If you reduce other losses like shortstops, breakdowns etc. and OEE goes up a higher volume can be produced and the OFE will be better as well.

If the focus on OFE can be done over the whole production line the real output improvements can be tracked.

 

Johan Majlov

CEO, Lean Dimensions International. 2010-01-05

johan@askldi.com

 

Overall Flow Effectiveness – OFE

Hi everyone! Today, I wanted to focus on talking a little bit about resistance to change. Inspired by watching television, seeing the protests going on, as well as things happening in other countries, one thought struck me: I can’t help but think that the less you are a part of the change, the less you’re a part of what’s going on. The decisions are happening, but because you’re not apart of the decision-making process, you’re more prone to resist the change.

To find out how to better manage your reactions to change, check out the video .

2 min Drill Inclusive Leadership

Hey everyone! Today, I’ve been thinking about learning and how much I enjoy learning new things. In fact, I think that’s one of the main reasons I’m a consultant.I like to learn new things, how things are made etc., But sometimes, it can be hard to find the time to learn. How well do you find the time to learn new things, on an everyday basis?

To find out my tips on how I continuously learn, check out the video .

2 Min Drill Continuous Learning

Hello everyone, my name is Joe Majlov and today I’m putting this video together to talk a little bit on the culture of 5s. 5s is a very famous method based on the idea of world-class manufacturing or Lean Thinking. During this video, I’m going to tell a little story, an idea about what I think is important around the culture of 5s, and why it works in some areas and why it doesn’t in others.

To find out more on the culture of 5S, watch the video .

The culture for 5S video