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Prioritisation and Analysis of Faults in Shirt Production by the A3 Technique Cover

Prioritisation and Analysis of Faults in Shirt Production by the A3 Technique

By: Mehmet Küçük  
Open Access
|Jun 2022

Full Article

1
Introduction

The A3 problem-solving technique, which is the core of the lean management system, provides a guide to find answers to the questions of “who, what, when?” for dealing with the current situation, finding the root causes of the issues, and finding various solutions to these root causes as a process and a mindset. While in the traditional management approach, simple solutions are brought to problems encountered to save the day. Within the A3 technique, permanent solutions are obtained through more profound insight into the problem or systems created to prevent problems by taking pre-measures and precautions. This thinking approach ensures that everyone in the organisation proceeds in the same direction by gaining the support and understanding of the individuals in the organisation. It is widely known that today’s product life curves have been shortened, and product diversity has increased. Lean thinking has become even more critical to cope with today’s competitive environment. In order to ensure the permanence of the practices, this philosophy must become a part of corporate culture in the managerial sense.

This study aims to solve the problems that occur in apparel production with the aid of Pareto charts and A3 reporting philosophy, as mentioned above, and to organise the process in the best way. The following studies can be given as examples of comparative studies carried out until today.

In a study conducted by Şeker in 2019, the advantageous and disadvantageous aspects of the A3 reporting technique compared to the Obeya and SMED techniques were discussed within a theoretical-based approach [1]. In a book review conducted by Morgan and Liker (2006), the importance of the A3 reporting technique in the Toyota production system was mentioned. According to the study, the essential features were cited as follows: the A3 technique gets to the bottom of identified faults and eliminates problems completely [2]. Akay, Tiryaki, and Çelebi discussed lubrication and packaging processes in the metal industry. In this study, the faults encountered in lubrication and packaging processes were handled and evaluated through the A3 technique [3]. In a study conducted by Kara in 2018, the problems encountered in an aircraft assembly area were discussed. Pareto analysis was used to prioritise the problems identified [4]. In a master’s thesis undertaken by Gülsün in 2006, the ERP-enterprise resource planning installation in companies operating at the international level was examined, and problems encountered in the installation of this system were analysed statistically [5]. In a study conducted by Çakırkaya and Acar in 2016, the significance of the faults encountered in a production line was determined by Pareto charts, which is one of the statistical process control techniques [6]. In a study by Ala and İkiz in 2014, Pareto charts was used again in determining the prioritisation of fabric defects that occurred during the weaving production process [7].

In this study, the production lines of a clothing company were studied, and faults encountered during the production were determined. Analyses were conducted with the help of Pareto charts considering the frequencies of these faults and the faults that needed prior consideration were identified. The root causes of the most common fault were determined within the A3 technique. Based on these analyses, a manufacturing apparatus was developed to make it easier to eliminate the fault mentioned in the processes. The effects of these apparatuses on the manufacturing processes were examined in terms of time, quality and cost. Moreover, necessary investigations were conducted accordingly.

2
Material-Method
2.1
Material

The material of this study consisted of the shirt production line of an apparel company that is engaged in export-oriented production activities. 6 different shirt sewing lines were observed to collect data during one month (22 working days). All the faults and their effects encountered during this monitoring were recorded.

2.2
Method

The types of faults occurring during the investigations were prioritised through Pareto analysis, which is one of the statistical process control techniques. Afterward, the most important one was addressed through the A3 problem-solving technique, and improvements were generated to handle and solve the problem accordingly.

2.2.1
Pareto Analysis

Pareto analysis was revealed by Vilfredo Pareto (1848–1923) in the 19th century, claiming that 20% of the population in the country where he lived possessed 80% of all income, where the remaining 20% of the income was shared by 80% of the population [4]. Today, this method is used to classify alternatives according to their importance and to make decisions in this direction. In other words, it is a method that enumerates alternatives from the most common to the rarest one.

Therefore, the method provides the possibility of statistical analysis of data and presents relevant data in turn; it is widely used today by planning engineers and managers. In this study, Pareto analysis was used to draw attention to the most crucial alternative in a batch of multiple alternatives.

2.2.2
A3 Technique

After determining the most common fault type, the A3 technique was used for the minimisation or elimination of it. As stated above, this is a problem-solving technique that results from the lean manufacturing process. A3 thinking deals with the root of the problem by providing deeper insight into the current situation, and determining the root cause of the problem. Accordingly, this method prepares an implementation plan meticulously and then repeats this cycle.

The report developed within the aforementioned method’s scope describes the current and also improved situation in the enterprise, resulting from the measures taken for the improvements. In general, An A3 report should follow from the top left to the bottom right to tell a story that anyone will understand. Reports do not simply specify a target or define a problem in a static or isolated manner. Like any story, an A3 shares the whole story. There is a beginning, development, and end where the specific elements are sequentially linked. Therefore, a completed A3 follows a path from the general situation and definition to a solution, leading to a conclusion [8]. An A3 report includes the following elements.

  • Title: Defines the name of the problem, theme, or topic.

  • Owner/Date: Determines the “owner of the problem or subject and the date of the last revision.

  • Current Status: Explains what the person already knows about the problem or topic.

  • Current Status Map: Describes the process of the operation.

  • Definition of the Problem: The problem is defined.

  • Analysis: Analyses the situation and the underlying causes that make up the difference between the current state and the desired output.

  • Aims / Objectives: Defines the desired output.

  • Suggested Countermeasures: Suggests corrective actions or countermeasures to solve the problem, close the gap, or achieve the goal.

  • Plan: Indicates an action plan on who, what, and when to achieve the goal.

  • Monitoring: Creates a review/learning follow-up process and anticipates remaining issues.

These A3 elements follow each other in a natural and logical sequence. The connections within the problem, the root causes of the problem, the purpose, the activities proposed to achieve the goal, and the means for assessing success should be clear and easy to understand [8].

3
Findings

Faults detected resulting from the examinations, the explanation of them, and their effects are shown in the following Table 1.

Table 1

The faults and effects

FAULTEXPLANATIONEFFECT
1.Size differenceA difference in the size of the piecesRepetition of the spreading-cutting processes
2.BarcodeThe attached barcode does not belong to the product.The delivery of the product to a different warehouse
3.Fabric FaultDefects on the fabric affect the quality of the productDisassemble process, repetition of the spreading-cutting processes
4.ButtonBroken, incorrect, unsewn or improper positioning of the buttonsDisassemble process or re-sewing, productivity loss
5.LabelIncorrect, defected or incorrect positioningDisassemble process and re-sewing, productivity loss
6.NeedleUnsuitable needle for the fabric or the yarnDamage to the product, re-cutting and re-sewing processes, fabric waste, cost increase
7.Button holeUnsuitable position, number or typeDamage to the product, re-cutting and re-sewing processes, fabric waste, cost increase
8.YarnYarn knitting, knotting or fringingLoss of productivity and quality
9.Seam FaultSeam faults, such as skipping or disassemblingRe-sewing, loss of productivity and time
10.StainColour changes occurred on the product due to various reasonsLoss of productivity and time
11.Cuff formPosition, sewing, ironing or size-related defectsLabour, time and productivity loss
12.PositionNot settling the product pieces at specified lines or levelsLabour, time and productivity loss
13.Colour differenceColour mismatch between product partsProductivity loss, re-cutting and re-sewing processes, fabric waste, cost increase
14.DisassemblyStitch defect between parts, button, buttonhole and hemlineLabour, time and productivity loss
15.Fibre fliesAdhesion of fly fibers on the productsProductivity loss
16.Interlining resin traces on fabric surfaceNon-sticking or -tracing the interlining resin on the fabric surfaceLabour, time and productivity loss
17.Collar tip formWrong positioning of the collar and visible seam allowanceProductivity loss

The faults encountered are handled on a line basis. These faults are sorted within the machine and human factors, shown in the following figure in terms of daily checked quantity, number of working days, the total number of controls, total number of faults encountered, and common fault types.

While determining the faults to be examined, the above data were taken into consideration, and detailed analysis of the lines were conducted accordingly. These analyses and the fault rates are explained in detail between figures 1–6 with related data. 6 different production lines were examined for 22 days, and, as a result, the faults and fault frequencies indicated in Table 2 were obtained.

Fig. 1

Faults of line-1

    → Data obtained from Line-1
  • -

    Daily average checked quantity: 504

  • -

    Number of working days: 22

  • -

    Total number of controls during the working time: 11.088

  • -

    Total number of faults encountered: 640

  • -

    Fault type and frequency

    • o

      Stain à 224

    • o

      Collar Tip Form à 151

    • o

      Cuff Form à 122

    • o

      Button hole à113

    • o

      Other à 30

Fig. 2

Faults of line-2

    → Data obtained from Line-2
  • -

    Daily average checked quantity: 1000

  • -

    Number of working days: 22

  • -

    Total number of controls during the working time: 22.000

  • -

    Total number of faults encountered: 1536

  • -

    Fault type and frequency

    • o

      Stain à 547

    • o

      Collar Tip Form à 430

    • o

      Button à 354

    • o

      Cuff Form à 185

    • o

      Other à20

Fig. 3

Faults of line-3

    → Data obtained from Line-3
  • -

    Daily average checked quantity: 1200

  • -

    Number of working days: 22

  • -

    Total number of controls during the working time: 26.400

  • -

    Total number of faults encountered: 2115

  • -

    Fault type and frequency

    • o

      Collar Tip Form à 570

    • o

      Stitch fault à 468

    • o

      Button à 348

    • o

      Cuff Form à 274

    • o

      Position à 204

    • o

      Other à 251

Fig. 4

Faults of line-4

    → Data obtained from Line-4
  • -

    Daily average checked quantity: 950

  • -

    Number of working days: 22

  • -

    Total number of controls during the working time: 20.900

  • -

    Total number of faults encountered: 1210

  • -

    Fault type and frequency

    • o

      Stain à 374

    • o

      Collar Tip Form à 371

    • o

      Cuff Form à 258

    • o

      Interlining Resin à 177

    • o

      Other à 30

Fig. 5

Faults of line-5

    → Data obtained from Line-5
  • -

    Daily average checked quantity: 1000

  • -

    Number of working days: 22

  • -

    Total number of controls during the working time: 22.000

  • -

    Total number of faults encountered: 1974

  • -

    Fault type and frequency

    • o

      Collar Tip Form à 681

    • o

      Stain à 678

    • o

      Cuff Form à 289

    • o

      Button à138

    • o

      Fiber Flies à 101

    • o

      Other à 87

Fig. 6

Faults of line-6

    → Data obtained from Line-6
  • -

    Daily average checked quantity: 1150

  • -

    Number of working days: 22

  • -

    Total number of controls during the working time: 25.300

  • -

    Total number of faults encountered: 1210

  • -

    Fault type and frequency

    • o

      Stain à 355

    • o

      Collar Tip Form à 247

    • o

      Colour Difference à 231

    • o

      Needle à 188

    • o

      Other à 189

Table 2

Faults and their frequency

FaultFault quantityFault percentage (%)Cumulative percentage (%)
1.Collar Tip form245028,2128,21
2.Stain217825,0853,29
3.Cuff Form112812,9966,28
4.Button87010,0276,30
5.Seam Fault4685,3981,69
6.Needle2482,8684,55
7.Color Difference2312,6687,21
8.Position2062,3789,58
9.Interlining Resin1772,0491,62
10.Fiber Flies1521,7593,37
11.Button Hole1131,3094,67
12.Yarn1031,1995,86
13.Size Difference1001,1597,01
14.Fabric Fault891,0298,03
15.Label871,0099,03
16.Barcode450,5299,55
17.Disassembly400,46100

As can be seen from the Pareto analysis (Figure 7), the collar tip form (28,21%), stain (25,08), cuff form (12,99%) and button (10,02) faults have a 76,3% fault ratio among 17 fault classes. As a result of the investigations on shirt production, it was found that if 4 of the 17 faults were prevented only, 76,3% of the total faults could have been reduced.

Fig. 7

Pareto diagram of the faults

In this study, the collar tip form fault, which is the most common and most important one, is discussed. The collar tip form fault, which constitutes 28,21% of the total faults, means that the collar is not symmetrical, the tips not sharpened properly, or the shadings that have occurred in the inside seam allowance are not cut properly. If the collar, which is the first point of attention of a shirt, is not produced symmetrically and adequately, it means a great loss in terms of quality. Figure 8 highlights an example of some poor quality related to the collar part.

Fig. 8

Samples of 2nd quality collars

The A3 reporting technique was used to prevent this fault. In this context, the A3 report was obtained from the application of the technique to the collar tip fault, shown in ANNEX-1.

Based on the analyses stated above, to eliminate the collar tip fault by the A3 technique, a collar cutting and everting apparatus was developed to obtain more standardised and symmetrical collars. By utilising this apparatus, the seam allowances of the collar tips could be cut more uniformly and symmetrically to prepare the collar in a shorter time. Details of this apparatus are shown in ANNEX-1. Examples of the collar tips formed by cutting and everting with the apparatus developed are shown in Figure 9 below.

Fig. 9

Collars manufactured with the apparatus

3.1
Application of A3 Technique to the Problem

Resulting from the investigations carried out in a shirt manufacturing company, the faults and their frequencies were recorded. The Pareto analysis revealed that the most common fault among them was the “collar tip form”. Accordingly, the A3 technique was used to eliminate it. Data obtained from this technique are as follows.

Roadmap of Current Status

In this technique, firstly, the collar preparation and everting process applied within the current system is defined. A map of the current process was prepared. The following steps were performed within the current system for collar preparation and everting.

  • Preparation of collar patterns

  • Placing the pattern on the spreading plan (CAD)

  • Drawing and cutting the pattern

  • Arrival of the cut pieces to the production line

  • Marking the collar pieces and interlining process

  • Assembling the pieces

  • Cutting the seam allowance surpluses

  • Everting the collar and sharpening the collar ends with a sharp tool such as a pencil, cloth scissors, etc.

  • Symmetry control of the collar and giving it the final form

Process Times of the Current Situation

The calculated standard times for collar preparation and everting process are stated as follows through the examinations of these steps.

Based on the time studies conducted, 14 seconds was spent on even cutting of the seam allowance parts, while the collar form and turning took 29.1 seconds. The standard time of the collar preparation and turning was calculated as 65.2 seconds in total.

Table 3

Records obtained by manual processes

Collar Forming Records
Manually
Taking a piece - putting under the needleSewingCutting (the seam allowance)Turn inside out - Forming the edges (manually) (2 Edges)Putting the piece away - taking another one
SecRSecRSecRSecRSecR
Sample-13,810010,21001310530,4951100
Sample-24,2951195159031901100
Sample-359510,610014,510029,4100290
Sample-43,6610010,810013,4100291002,590
Sample-53105129013,910030100290
Sample-63,710010,71001410030,795290
Sample-72,9110111001410029,81001100
Sample-83,51001110013,610530951100
Sample-93,710010,2100159032901100
Sample-103,1100109514,810529,11001100
Averages3,7100,510,898,014130,196,51,596,0
Basic Time= Avg Time × Avg Rating 1003,710,514,029,11,4
Total Basic Time58,7
Relaxation Allowance (%4)2,35
Unavoidable Delays (%7)4,11
STANDARD TIME (sec)65,2
Definition of the Problem

Activities that cause poor quality in the current process are listed as follows:

  • Asymmetry of the collar ends

  • Collar end forms not being at the desired sharpness

  • Everting process and preparing the collar end forms evenly should be accelerated depending on the workflow.

  • Since the seam allowance of the collar parts are not cut properly, this may cause shading or seam problems.

Analyses

Root-cause analyses, shown in the following diagram, were carried out in order to eliminate the processes that lead to poor quality.

Fig. 10

Root cause analysis

Goals

Based on the root cause analyses and the A3 technique, the desired developments, in other words, the goals, are as stated below:

  • Standardisation of the operation

  • Eliminating the problem of shading in the collar edges

  • Smoothing the sharpness in the collar tips

  • Increasing productivity

  • Developing an apparatus suitable for the process that can be used by operators

  • Using the workforce more effectively

Precautions (Improvements)

Precautions (improvements) recommended to the company are as follows;

  • First of all, the operator should be checking the cut collar parts in terms of the cut quality.

  • After sewing the collar parts, the operator should cut the remaining seam excess with the developed apparatus (Figure 9).

  • The operator should perform the reversal of the collar with the “collar cutting and everting apparatus” developed within this study.

  • The operator should check the symmetry of the collar tips in a quicker way.

Collar Cutting and Everting Apparatus

The apparatus developed consists of two different parts: the first enables to cut the seam allowances clearly (Figure 11), and the second helps operators to evert the collars evenly (Figure 12). This apparatus can be placed on different parts of the machine table in accordance with the hand side of the operator most used. The apparatus developed is shown below in Figure 11.

Fig. 11

Cutting apparatus

Fig. 12

Everting apparatus

Improved Time Plan

Time study data of the process steps belonging to the collar everting and giving the desired form with the apparatus developed are shown in Table 4.

Table 4

Records obtained by processes with the apparatus

Collar Forming Records
With the Apparatus
Taking a piece - putting under the needleSewingCutting (the seam allowance)Turn inside out - Forming the edges (with the apparatus) (2 Edges)Putting the piece away - taking another one
SecRSecRSecRSecRSecR
Sample-13,695111008,110518,41001,2100
Sample-23,210011,21107,5105181001100
Sample-33,510010,8105910017,51001,595
Sample-43,69510,91057,310017,7951100
Sample-53,49511,51008,79018,21001,595
Sample-63,410011100990181001,495
Sample-72,611510,7100910017,9951,3100
Sample-84,29010,81008,79017951,2100
Sample-93,710011,5958,810017,8951,495
Sample-103,910010110910019901100
Averages3,599,010,9102,58518,097,01,398,0
Basic Time= Avg Time × Avg Rating 1003,511,28,317,41,2
Total Basic Time41,7
Relaxation Allowance (%4)1,67
Unavoidable Delays (%7)2,92
STANDARD TIME (sec)46,2

According to the calculations, while cutting the seam allowances of the collar tips took 8.3 seconds, the standard time for collar everting and sharpening of the tips took 17.4 seconds with the apparatus developed. The total standard time of this process was calculated as 46.2 sec.

3.2
Evaluations

As can be understood from the visuals of the collars prepared with the improved collar apparatus, it is now possible to obtain collars in a more uniform form with standard quality. Thanks to the apparatus developed, the following advantages could be gained:

  • -

    The shirt collar tip form can be adequately prepared, and it is thought that the quality level can be standardised.

  • -

    The asymmetry problem between the two ends of the collar forms was eliminated due to the advantage of the new apparatus. The sharpening and shadowing problem of the collar tips was prevented.

  • -

    The collar everting process was realised faster and more smoothly thanks to the improved collar apparatus.

Thanks to the time studies carried out, the time spent on cutting the seam allowances after collar circumference sewing and that spent on the process of everting the collar and obtaining the sharp form at the tips of the collar were compared. Accordingly, while cutting the seam allowances at both ends of the collar took 14 seconds manually, it was completed in 8.3 seconds with the cutting apparatus developed. This apparatus shows that the process is completed in 40.7% less time. Similarly, the reversal of the collar and the sharpening of the two collar ends lasted 29.1 seconds when performed manually, and this process was completed in 17.4 seconds thanks to the collar everting apparatus developed. Owing to this apparatus, a time saving of approximately 40.2% was achieved.

Collar automats (Figure 13), which are preferred by a specific section of companies, operate only on shirts on the market, and provide superiority in terms of speed and quality in all operations performed on the collar. An image of a collar automat is shown in Figure 13.

Fig. 13

Collar automat [9]

In studies and investigations carried out in companies using this automat, it was seen that while the cutting of the seam allowance of a collar and giving the desired tip form by turning takes 7.9 seconds, the standard time of collar preparation and the turning process is determined as 24.6 seconds. Another critical point is the sales price of the system, which is $2050 as the market price (25.04.2020).

4
Conclusion

In this study, firstly, faults encountered in a shirt manufacturing company and their frequencies were determined. Afterwards, these faults were listed according to their percentages and frequencies by means of Pareto Analysis. Based on the examinations carried out using A3 diagrams on the most common faults, the reasons for the poor quality of the shirt collar were determined. Accordingly, developed apparatuses were used to eliminate these reasons.

Although there is an existing collar automat currently in use in the market, investment decisions that need to be made for an automat should be well considered in today’s difficult economic conditions. A price-time comparison of the operations performed on a collar manually, with the apparatus developed and by automats available on the market, is listed as follows.

As a result of the examinations, data belonging to the three different methods were calculated, shown above (Table 5). Based on the data, the time spent on cutting the collar seam allowance was determined as the highest when the activity was performed manually. The duration of the activity performed with the apparatus developed and with the automat were close. When the collar preparation activity durations were examined in total, it can be seen that while the total time spent for the process with the automat was 24.6 seconds, this time is 87% faster than for the developed apparatus - 46.2 seconds, and 165% faster than the activity performed manually - 65.2 seconds.

Table 5

Comparison of the techniques

Std time-cutting process (sec)Total std time (sec)Price ($)
Manually14,065,2-
Developed Apparatus8,346,284
Automat7,924,62050

In today’s demanding economic conditions, which require deep analysis of investment decisions, it is possible to achieve similar quality with the apparatus developed in this study with a cost of only $ 84, instead of investing $ 2050 only for a collar operation. Nowadays, companies are designing their production lines to produce various products instead of specialising in a single product type to keep up with the different product demands of their customers. Therefore, they may be hesitant to invest in an automat that can only be used for collar production. This study demonstrates the importance of this decision by emphasising the advantages of the apparatus developed over its rivals.

Another advantage of the apparatus developed is the possibility of adding it to the working area of each operator working with collars, given its lower costs. However, since automats are comparatively expensive, there are only 1 or 2 plants in factories.

Regarding this study’s method, A3 reporting is one of the essential methods used to address and solve the problems encountered in companies. At this point, the A3 reporting method is becoming quite useful in solving issues because it has a simple and effective nature. Since the problem-solving process needs to be continuously handled, different statistical process control techniques supporting this method will provide more concrete benefits to companies, which will be dealt with in future studies.

DOI: https://doi.org/10.2478/ftee-2022-0005 | Journal eISSN: 2300-7354 | Journal ISSN: 1230-3666
Language: English
Page range: 35 - 46
Published on: Jun 8, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2022 Mehmet Küçük, published by Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.