Sunday, 20 June 2021

Lean Manufacturing tools series 19 (Six Sigma)

 Six sigma is the strategy concerned with reducing the amount of variation concerned with completing a process on a repeated basis, so that the overall product can function at a level that is acceptable to the customer. It is also the practice of constant improvement by identifying defects that can be brought under control in order to improve the functionality of the end product. While it may seem like six sigma is a highly technical skill, in reality it is used in many different sectors. It is not uncommon to see six sigma practices implemented into marketing, sales, and customer support organizations as well.

 Initially created and implemented by Motorola, most companies have implemented some sort of version of a six sigma program in most of their departments. There are some companies that even require all personnel to be trained in six sigma implementations and policies. It uses statistical methods integrated with quality and lean processes to measure the possible and recognized improvement in the process. If implemented properly, entire teams and sub organizational structures (i.e. black belts, green belts, etc) are implemented to guide personnel in the proper conduct of the six sigma process and bringing the culture to the workplace successfully. 

The idea behind six sigma is revealed in the name of the process… through identification of sources of variation and cost, teams are formed to find what the sources are, and then the variation is measured and plotted. It is then analyzed to see if there are other, uncontrollable aspects of the data that may be effecting the way that the parameter is measured.

 All of these are taken into consideration, and then the corrective action that is supposed to bring the process to within six sigma of the target value is implemented, or in other words, the process is improved. Over time, the process is conducted with the corrective action in place, and the parameter, once again, is measured. 

This measurement is plotted, just as it was prior to the corrective action implementation, and the corrective action is analyzed for its effectiveness. The team then discusses what actions can be implemented to ensure the quality improvements are maintained and the progress is not lost by a lack of control over the corrective action. 

The beauty of six sigma is that it can be used in any application, in any business, at any time. As stated before, there are plenty of documented case studies that show how six sigma can be effectively used inside of everything from sales and marketing to very complex manufacturing procedures. With the proper training and teams in place, the sky is the limit with regards to the amount of improvement an organization can realize by implementing the six sigma infrastructure.

 

                          Figure 1

As can be seen in Figure (1), there are five basic steps to completing a six sigma project. The first is “Define”, in which the parameter in that will be the focus of the project is identified. Additionally, the impact to the bottom line of the business is discussed and the potential savings is measured. It is at this point in which the company will decide whether or not to pursue further action in the improvement of the parameter, and whether the time and funding spent toward the improvement will pay off in the end. 

Next, the parameter is measured in the “Measure” phase. Statistic relevance is taken into consideration as well as other sources of variation such as gage error. It is determined how well the actual parameter can be brought under control by measuring it with respect to the sigma value of a normally distributed curve. 

Take, for example, a process that has 1000 opportunities for a defect. Of these opportunities, 2 defects emerge. This obviously means the process has .002 DPO, or defects per opportunity. From that, we can figure out what our DPMO, or defects per million opportunities. To do this, we simply multiply the DPO x 1 million. Our process has a level of 2,000 DPMO. This means that for every million pieces of this product we produce, 2,000 of them will be defective.

From the DPMO and our DPMO/σ table, we find that our σ value is 4.37. By looking at Figure (2), you can interpret this to mean that you will have a 99.73% chance of having between 1,987 (-3σ) and 2,014 (+3 σ) defects for every 1,000,000 parts produced.

 

 

                                           Figure (2)

Once this is completed, the team comes together and analyzes the data in the “Analyze” phase. If the previous two phases were correctly conducted, it will show where the greatest room for improvement exists, and the corrective actions are identified with the estimated improvement calculated.

Improvement is measured after the corrective action is implemented in the “Improve” phase. This phase is almost identical to the “Measure” phase, but more strong influence is placed on the corrective action‟s impact on the final parameter variations.

Finally, the last stage is “Control”, in which the corrective action is either modified or changed such that a long term realization of improvement is shown. Many times the corrective action is temporary in nature and must be modified to be able to sustain the improvement.

While anyone can be taught to brainstorm and start six sigma projects, it should be noted that without a focused and well trained team, there is a very large possibility for failure inside of the six sigma project. It is recommended that a dedicated team be placed in charge of every project and assist the champion in making the project run smoothly.

Six sigma has been proven to set companies apart from each other with its effectiveness. It is practiced in almost every major corporation and almost always results in a better, leaner, and more proficient company.

Prepared by:Md. Tarikul Islam Jony
Mail:jonytex073@gmail.com
+8801912885383


Wednesday, 24 February 2021

7 Basic Tools of Quality Control used in Improving Garment Manufacturing Process and Product

 These are a fixed set of graphical techniques that are used to identify all the issues related to quality and assist in solving those issues. The following are all the seven tools of quality control with examples. 

1. Flow chart

It is one of the basic process evaluation tools that is used to analyse the workflow or the process. It is represented through a diagram that pictures all the steps in the process along with the conditions related to any step. These steps can then be followed to go through the task for successful completion of the objective.

The flow chart maps out the steps as boxes of different types according to their processing order and these are connected with arrows. These arrows are in the direction of completing the process but depending on conditions can take on a different course. This diagrammatic representation thus illustrates a solution to any given model and are also used in analysing, planning, documenting or managing a process/program in various fields.    

Figure- Example of a Flow Chart

2. Histogram

It is a representation of the frequency (count) distribution of data among different groups of a sample or population. It consists of vertical bars of different heights and each bar represents a different group of the data. The height of the bar is determined by the frequency (count) of the group. The key characteristic of the histogram is that it represents categorization of continuous data with each group being of similar characteristics. It looks similar to that of a bar chart but unlike that, there are no gaps in-between bars and area of each bar is proportional to the frequency that it represents

It helps in summarizing the data that has been collected and represents graphical data frequency distribution in bar form to highlight areas of needed attention.
Figure- Histogram


3. Checklist

The checklist is used to collect quantitative or qualitative data in a form (document) in real-time at the location where the data is generated. When the data is in a quantitative form the check sheet is also called a tally sheet. Its simple data recording and representation can be used as a preliminary data collection tool for creating bar graphs, histograms and other quality tools. It can also be used to control quality by quantifying defect by type, location, cause (machine, worker), keeping track of completed steps etc. You can make garment checking reports using a checklist template

The data recorded in the check sheet is recorded with marking marks “check” on it. These checks are ticked in the sheet at different locations in a matrix and each has its different significance. These checks are read by observing the location and number of marks on the matrix. For better understanding the background information of the data it also consists of the five w’s which are
  • Who filled out the check sheet
  • What was collected (what each check represents, an identifying batch or lot number)
  • Where the collection took place (facility, room, apparatus)
  • When the collection took place (hour, shift, day of the week)
  • Why the data were collected.
    Figure- A Check List

    4. Cause and effect diagram (Fishbone or Ishikawa diagram)

    Cause and effect diagram was created by Kaoru Ishikawa for the identification of potential cause (factors) leading to an effect (problem). It is mostly used to map out the potential factors for the quality defect which is leading to an overall effect. Each cause or reason for imperfection is a source of variation. Causes are usually grouped into major categories to identify and classify these sources of variation.

    The first part of the tool requires identification of the problem and the factors leading to that problem. Also, sub-factors are determined if need be by making the factors as a group of subfactors. Then the diagram is drawn with the problem in the centre and the factors affecting it as its root branching out. This creates a highly effective visualization to see all the causes simultaneously and work on them in accordance with their importance.

    There are many chronic problems found in garment manufacturing. You can reduce the occurrence of such chronic quality issues by finding the root causes of the problem. And the root cause can be found through the fishbone diagram.

  • Figure - Cause and Effect Diagram


    5. Pareto Chart

    It a type of chart that consists of both bars as well as a line graph. The bars represent the individual value in descending order while the cumulative total is represented with the line graph. The left vertical axis represents the frequency of occurrence, costs, or other important units of measurement. The right vertical axis represents the cumulative percentage of the total number of occurrences, total cost, or the total of the particular unit of measure.

    It is used to highlight the most important among a large set of factors. In quality control, it can be used to represent the most common source of defects, the highest occurrences of type of defects, frequent reasons for customer complaints etc. These charts can be generated by any spreadsheet programs, specialized statistical tool, online charts generator etc.
    Figure - Pareto Chart

  • 6. Scatter diagram

    A scatter diagram (or scatter plot, scatter graph, scatter chart, scattergram) is a type of plot or mathematical diagram using Cartesian coordinates to display pairs of numerical data with one variable on each axis and look for a relation between them. If the variables are correlated, the points will fall along a line or curve. The better the correlation, the tighter the points will hug the line.

    This is used in different scenarios such as to determine whether the two variables are related, or when there is paired numerical data or when the dependent value has multiple values for each value of the independent variable.


  • Figure - Scatter Chart


    7. Control Chart

    Control charts are a statistical process control tool used to determine whether the manufacturing, quality or other aspects are in a state of control. There is always a presence of variations in a process which cannot be nullified as no process can run in an ideal condition for multiple time. This chart helps in control and identification of such variables. This always has a centre line for the average, an upper line for the upper limit and a line for the lower control limit. The control limits are set for a +-3 standard deviation from the centre line. The points recorded in the Cartesian have to be in between these control lines and any variation crossing the lines are an indication of an anomaly that needs to be checked or corrected.
  • Figure - Control Chart

  

Monday, 20 April 2020

What is on standard efficiency & how to calculate.

  • What is On-standard efficiency and overall efficiency?
  • How to calculate on-standard efficiency and overall efficiency?
  • What are the differences between these two efficiency terms?
Workers performance and production line performance is measured in efficiency. 

Efficiency Calculation formula 
 Efficiency (%) = (Total minutes produced / Total minutes attended at work)*100 

In a normal workday, operators spend their total attended time following categories
  1. doing standard work
  2. doing off-standard work (doing a task which is not familiar to the operator / other than a regular job)
  3. doing nothing (lost-time like power failure, machine breakdown, no feeding/no work)
When an operator works on a bundle (garment pieces) they produce standard minutes whether she works on-standard operation or an off-standard operation. But when an operator does nothing but sitting idle due to some reasons is lost time.

If an operator does not get work, that is not her fault. In such cases, if you measure her performance considering all the attended hours, that will reflect a wrong performance. For this reason, on-standard efficiency is measured where only on-standard work hours are considered for calculating efficiency.

Measuring on-standard efficiency is good for operator skill analysis but when it comes for production at the end of the day, or line efficiency, and incentive calculation for the line and individual operator, overall efficiency is used for eligibility level.

How to calculate on-standard efficiency, off-standard efficiency and overall Efficiency

To measure on-standard efficiency, off-standard efficiency and overall Efficiency we need to collect the following data

(A) Total hours worked on the standard work
(B) Standard minutes produced while working on standard work
(C) Total hours worked on off-standard work
(D) Standard minutes produced while working on the off-standard work
(E) Total lost time in hours
(F) During lost-time, practically, no garment will be produced, so no produced minute for lost time hours.

The standard produced minute is calculated as operation SAM x Number of pieces stitched.

On-standard Efficiency (%) = (Total on-standard minute produced *100)/(Total on-standard hours worked * 60) = (B*100)/60*A)

Off-standard Efficiency (%)= (Total  off-standard minute produced *100)/(Total off-standard hours worked * 60) = (D*100)/60*C) 

Overall Efficiency (%) = (B+D)*100/(60*(A+C+E))

If there is no lost time and no off-standard work hours employee's on-standard efficiency and overall efficiency will be the same.

If there is lost time, overall efficiency will be less than the on-standard efficiency.

Wednesday, 29 January 2020

Lean manufacturing tool series -18 (5 Why)

5 Why? Simple but effective lean tool:

Just like any good mechanic, a good lean expert should have many tools to help them do their job. While a mechanic may be fixing something under the hood of a car, a lean expert will be fixing something under the hood of a business. Unlike a mechanic‟s troubleshooting, sometimes the real reason why something is not functioning inside a business isn‟t readily apparent, and there isn‟t a manual to troubleshoot it. Additionally, it may be masked by other problems that appear to be the real reason, or “root cause”, when in truth, it is only a diversion.
Avoiding this is a very important job of all people who work in a company, primarily a lean expert, or someone who works on the quality team. There are many ways in which the quality team can approach the problem, and the 5 why technique is one of them. It is designed to help get to the real root cause of a problem, so the cause can be addressed through a short term or long term corrective action. The corrective action, then, can be tracked for its effectiveness.
The 5 why system is one in which the simple question “why?” is asked at 5 different levels of a problem to get to the bottom of the situation. It was first used in the early 1970‟s by the Toyota Company, who is often credited with being the pioneer of modern quality.
If used correctly, it can provide a way to help identify the true root cause of the problem by using a feedback system. An added benefit is that it can be used both on an individual basis as well as a part of a group attack. It can, and should, also be integrated into the Kaizen, lean, and Six Sigma methods.
It can also be used in conjunction with other tools, such as root cause analysis software and fishbone diagrams to help aid in the discovery of the true root cause and identifying the cause and effect associated with it. While some other root cause analysis tools are complex and require experts to run them, even a two year old knows how to ask the question “why”, so the much more simplified approach is easy to adopt to the level of each individual worker.
Of course, it may seem like the five why method is too good to be true: a simple, effective way to approach complex technical issues that anyone can apply? This is the exact argument that most “five why” critics have used against the system: it is not as effective as thought.
The biggest argument is that, while it is purported to get to the foundation of the problem, in reality, most people stop at the surface level symptomatic issues that appear to be plaguing them on a daily basis. By asking the question “why?”, most will simply come up with another symptom instead of working their way back to the root cause. They will then fix the additional symptom, proclaiming to have found and corrected the root cause, when in fact the problem they were trying to solve never actually is fixed.
Another pitfall that the critics of this system claim detracts from its effectiveness is the tendency for personnel to stop at their level of knowledge or comfort, instead of digging deeper and thoroughly investigating the limits of their technical knowledge. It is too easy for the “five why” method to reward and promote the “quick fix” answer of simply satisfying the question “why”, instead of more thoroughly finding a technical answer.
Lastly, while simplicity is one of the merits of the system, it is also purported to be one of the downfalls. Because anybody can conduct the five why method, they actually do, and do not seek professional assistance in determining whether the “why” they submit is a true, actual “why” and not a surface level quick fix.

Figure (1) illustrates the typical conduct of solving the answer “why does the pump leak”. As can be seen, it addresses the fact that the seal inside of the pump bell housing is leaking fluid. While many companies and employees would stop there, instead, this technique requires the champion to go much further and address the reason why the seal leaks.
Of course, there can be more than one “why” to every reason, as demonstrated by Figure (1). The seal could leak because of improper installation of the seal, or possibly an inadequate seal design. Each one of those has their own “why” branches, which address the more subsurface issue causing the “why” before it.
As stated earlier, anyone can use this method. However, care and consideration should be taken to at least fully train the personnel who will be in charge of leading the five why inquisition, as it is very easy to scratch the surface of the challenge and never actually dig to the subsurface root causes.
The 5 why technique is a great tool when used in conjunction with other tools as an aide in finding the root cause of a problem. Like any other tool, it should be wielded by someone who understands how to thoroughly investigate problems and conduct a solid root cause analysis.



Prepared by:Md. Tarikul Islam Jony
Mail:jonytex073@gmail.com
+8801912885383

Tuesday, 3 December 2019