Garment Puckering: 4 Types, How to Identify Each, and How to Fix Them(A practical guide for sewing supervisors, quality teams, and industrial engineers)

        Puckering is a small defect that causes big headaches. A seam can look perfectly fine at the machine, then show ugly wrinkles after pressing, washing, or finishing. The result is rework, rejected lots, buyer complaints, and higher cost.

The key point is this: not every pucker has the same cause, so not every pucker should be fixed the same way. Before touching any machine setting, find out which type you are dealing with.

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1. Tension Pucker: Is the Thread Pulling Too Hard?

        Over-tight thread tension is among the most common causes. When tension is too high, the thread draws the fabric together along the seam and creates a rippled look.

How to identify it

        Cut all the top and bottom stitches without disturbing the thread loops. If the pucker relaxes or disappears once the stitches are cut, tension is the likely culprit.

How to prevent it

• Sew with the lowest tension that still forms a good stitch.

• Set the feed timing for maximum pull-off.

• Lower the bobbin tension by rewinding the bobbin with minimum tension.

• Choose a thread with good lubrication.

Takeaway: Use only as much tension as the operation needs. A very tight stitch may look neat on the line, but the problem shows up later.

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2. Inherent Pucker: When the Fabric Structure Is the Problem

        Sometimes the machine isn't the issue. The fabric itself can pucker because of structural jamming, where the yarns in the fabric are packed so tightly that the needle and thread have no room to pass without distorting the structure.

How to identify it

        Again, remove the stitching by cutting all top and bottom stitches. If the pucker disappears, structural jamming is the likely cause.

Possible solutions

• Sew slightly on the bias, where the design allows.

• Use a smaller needle.

• Reduce stitch density.

• Switch from lockstitch to chain stitch where appropriate.

• Use a finer thread if possible.

Takeaway: Don't look at the machine alone. Look at how fabric, thread, needle, stitch, and construction interact.

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3. Shrinkage Pucker: The Problem That Appears After Washing

        Have you seen a garment that looked perfect off the sewing line but puckered after washing or another treatment? That is likely shrinkage pucker. It happens when the fabric and the thread (or other components) shrink by different amounts, so the seam becomes unstable.

How to identify it

        Ask one simple question: does the pucker appear only after treatment or washing? If yes, investigate the shrinkage behavior of the fabric and thread.

How to control it

• Use synthetic threads with low wet shrinkage.

• Select compatible garment components.

• Check how fabric, thread, and trims behave through washing and finishing.

        This matters most for garments that go through heavy wash or finishing processes. A garment must not only look good when it leaves the sewing line. It has to stay that way through every process that follows.

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4. Feed Pucker: Is the Fabric Moving Through Evenly?

        Poorly controlled feeding is another frequent cause. The plies must travel through the machine in a balanced way. If one ply moves faster than the other, one layer ends up longer than its partner, and the seam puckers.

How to identify it

1. Make two cuts across the seam, in the area where puckering is worst.

1. Remove all the stitches between the two cuts.

1. Compare the two plies. If one is longer, you have a feeding problem.

If there is a difference, check the feeding mechanism, machine settings, and operator technique.

Possible solutions

• Use the minimum presser-foot pressure needed.

• Check and correct the feed dog.

• Improve the operator's handling technique.

• Match the feed dog and presser foot.

• Check the throat plate and presser-foot hole size.

• Correct top and bottom feed timing.

• Try a low-friction presser foot.

• Use a needle-feed machine where suitable.

Correct feeding is especially important with difficult fabrics and multi-ply seams.

Quick Reference

        Don't Treat Every Pucker the Same Way

A common mistake is to start changing machine settings immediately, before knowing the real cause. A better routine is:

Observe → Test → Identify → Correct

    Watch where and when the pucker occurs. Run a simple test to see whether it relates to thread tension, fabric structure, shrinkage, or feeding. Then make the right correction. This beats random adjustments every time.

Think Beyond Final Inspection

Puckering should not be treated only as a final-inspection defect. By the time it is caught there, time, labor, and material are already sunk into the garment. Check for it at each stage:

Pre-production → First-piece approval → Machine setting → Line production → Washing/finishing

        Early detection lets you correct the process before a large quantity is affected. The goal is simple: don't inspect quality into the garment, build it into the sewing process.

The Bottom Line

        Puckering is not just a "sewing machine problem." It is shaped by thread tension, fabric structure, shrinkage, feeding, needle and thread choice, machine settings, and operator technique.

Identify the type first, find the cause, then apply the right fix. A few minutes spent finding the real cause can save hours of rework.

Pucker type	Key clue	Main direction
Tension	Disappears after cutting stitches	Reduce top/bobbin tension, better thread lubrication
Inherent	Disappears after cutting stitches	Smaller needle/thread, lower stitch density, bias sewing
Shrinkage	Appears after washing/treatment	Low-shrinkage thread, compatible components
Feed	One ply longer after unpicking	Fix feed, presser foot, timing, operator technique

Good sewing quality begins with understanding what is happening between the needle, thread, machine, and fabric.

 

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

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
    Written by: Soumyadeep Saha                                                                                                                  Colected by:Md. Tarikul Islam Jony  Mail:jonytex073@gmail.com
    +8801912885383

  

How to eliminate Fabric Shade Variation in Garments

Shade variation in garments is caused mainly due to fabric problem. Fabrics are dyed in dyeing machine that has a certain capacity of dyeing fabrics at a time. So, where fabrics are dyed in multiple lots, there is chance of having shade variation between different fabric lots if dyeing process is not controlled.

Shade variation in fabric may appear as

• Within same fabric roll there may be shade variation like 'center to selvage' and 'salvage to salvage'
• Within same fabric roll length wise shade variation 
• Shade variation in between fabric rolls

Shade variation in garments (between different components of the same garment) can be controlled if a SOP is set and employees follow that SOP to reduce shade variation in garments. From fabric inspection to garment finishing in each step you have to be pro-active and take action to prevent shade variation in finished garments.



Tips to reduce and control shade variation in garments:

1. Fabric inspection: Whether it is in-house dyeing or dyed fabric from outside processors, all fabric rolls need to inspect for shade variation. Categorize fabric rolls based on fabric shades.  If there is a wide range of shade variation and fabric shade is out of the standard one, you can reject that lot and sent back rejected to your fabric processors for re-processing.

2. Preparing Shade band: Develop shade bands and get approval for all shade bands you have in your bulk fabric. Mark shade band no. to each fabric roll / than. Shade bands help in fabric layering and shorting in cutting room.

3. Communicate with clear information: When you have an order with varied shades of fabrics, information must be shared with cutting department as well as production department. While issuing fabric to cutting, intimate cutting department that fabric has different shades and fabric lots should not be get mixed.

4. Fabric layering: As advised in point#2, you have to categorize rolls according to shade band. While spreading fabrics for cutting, spread fabrics of same shade band no. in a lay. Don't mix fabrics roll of different shades. When you need to spread fabric of another shade on the same lay place separator to identify cutting of different rolls easily at the time of shorting and bundling. 

5. Marker placement: In case fabric has shade variation of 'center to selvage' and 'side to side' place garment pattern on the fabric layer in such a way that shade variation would not be prominent (visible) in garment. Like you can set markers as 'one garment one side' and 'side to side' marker

6. Numbering of layers: Use ply numbering system and number all garment components. Like, all components of a garment should have same sequence number. In case you spread fabrics of multiple lots in a same lay (cut) use separator for each rolls/ lots. Then while you make bundles make separate bundles for each lots/rolls 

7. Bundle movement in sewing: After following above steps strictly, one even have shade variation in garment if bundles are not maintained in sewing lines. Sewing operators need to close bundles after completing sewing of a bundle. Ensure that when operators join two component they should check ply number on sticker and sew component with same ply numbers.

8. Replace defective garment part: Check garment component shade variation at the end of line inspection (at the end of sewing process). Garments found with fabric shade variation (varied shade of different components if that is not a design feature) need to be separated from the good garments. Later defective garments (due to shade variation) can be corrected by replacing parts. For the part changing, be careful to cut parts from the matching lots. 

9. Single piece garment bundling: If you can't stop ply mixing in sewing you can introduce single piece bundle system in production. In this system, there is no way to sew garment components form different fabric plies. I am not suggesting you to change your bundling system but just showing you an option for getting rid off shade variation problem in finished garments. 

Above steps are not difficult to implement in garment production. Try it yourself and share with us how you have improved and handled shade variation issue in your factory.

 Collected By: Md. Tarikul Islam

                         01912885383

                         jonytex073@gmail.com