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\title{Implementation of Six Sigma to Minimize Defects in Sewing Section of Apparel Industry in Bangladesh}
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             \author[1]{Jaglul Hoque  Mridha}

             \author[2]{Shah Md. Maruf  Hasan}

             \author[3]{Md.  Shahjalal}

             \author[4]{Forhad  Ahmed}

             \affil[1]{  Northern University Bangladesh}

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\date{\small \em Received: 15 December 2018 Accepted: 2 January 2019 Published: 15 January 2019}

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\begin{abstract}
        


The garments industries which are traditionally operated are facing lots of problems such as low productivity, poor line balancing, high rejection, high defects, unable to achieve lead time. So defects minimization is the first condition of reducing cost and increasing productivity. The work aims to minimize the defect percentage by using DMAIC approach of Six Sigma methodology. The study is carried out in Ananta Apparels Ltd. by using DMAIC methodology of six sigma to minimize the defect rate in sewing section. Five phases of the DMAIC methodology named Define, Measure, Analyze, Improve and Control which indicates some critical defects such as stain, skip stitch, broken stitch, and slip out in the sewing section of Ananta  Apparels Ltd. We applied various types of six sigma tools in different phases. The outcome of this study is very significant to implement in the sewing section of the apparel industry. 

\end{abstract}


\keywords{DMAIC, gross domestic product, lean, toyota production system, jit, sipoc.}

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\let\tabcellsep& 	 	 		 
\section[{Introduction}]{Introduction}\par
he ready-made garment (RMG) is one of the most essential sectors in Bangladesh in terms of foreign export earnings, economic advancement, employment, and its contribution to Gross Domestic Product (GDP). It is one of the leading exporting industries in Bangladesh. To achieve the overall objective in minimizing defects and rejection of finished products, it is required to set up a document and maintain a system able to ensure that products are conformance to the standards specifications. Considering the reasons above, that means this study attempts to explore the use of DMAIC (define, measure, analyze, improve and control) methodology of six sigma in a selected garment factory to minimize the defect percentage.\par
DMAIC methodology of six sigma is a problemsolving method where six sigma tools are used to analyze the process data, and finally, the root causes behind the defects produce in the product are identified.\par
Six Sigma is a quality improvement process of the final product by reducing the defects, minimizing the variation and improving capability in the manufacturing process. Six Sigma initiated from the terms associated with statistical modeling of manufacturing processes. 
\section[{a) Objectives}]{a) Objectives}\par
Quality Management is an operational strategy oriented towards achieving the shortest possible cycle time by eliminating wastes. The term Quality Management is coined to represent half the human effort in the company, half the manufacturing space, half the investment in tools and half the engineering hours to develop a new product in half the time. Any industry can achieve these benefits if they religiously follow this concept in their organization. In simple terms, lean manufacturing is without waste. Thus the objective of this study is to find out how we can use Quality Management to achieve the following: 1. To meet customer demand on time by eliminating nonvalue added work from the process. 2. To minimize the work in process inventory. 3. To create the flexibility of style changeover. 4. To reduce rework percentage. 5. To create a pool of multi-skilled operators who can respond quickly for changing the style. 
\section[{II.}]{II.} 
\section[{Literature Review a) Quality management}]{Literature Review a) Quality management}\par
It is the act of overseeing all activities and tasks needed to maintain a desired level of excellence. Quality management includes the determination of a quality policy, creating and implementing quality planning and assurance, and quality control and quality improvement. Quality management ensures that an organization, product or service is consistent. It has four main components: quality planning, quality assurance, quality control and quality improvement. Quality management is focused not only on product, and service but also on the means to achieve it. 
\section[{b) Lean}]{b) Lean}\par
Lean is a systematic approach to identifying and eliminating waste through continuous improvement of the product at the demand of the customer. Taiichi Ohno once said that "Lean Manufacturing is all about looking at the time line from the moment the customer gives us an order to the point when we collect the cash. And we are reducing that time line by removing the non -value added wastes" \hyperref[b5]{(Ohno, 1988)} Identify all the steps along the process chain -This means identifying the value stream. It can be used to identify activities where the value adds to the product and those do not.\par
Make those processes flow -The value-added product must flow continuously from start to finish without interruptions, detours, backflows, waiting, scrap and stoppages.\par
Make what is pulled by the customer -The customer should pull the product from the source as needed rather than process pushing the products onto the customer.\par
Strive for perfection -After implementing the above steps, the team should continuously remove wastes as they are in uncover condition and pursue perfection through continuous improvement. Lean uses practically proven tools and techniques to systematically eliminate the wastes. If these are correctly applied, it will bring improvements to quality, cost, and delivery of the final product. Those tools help in implementing, monitoring, and evaluating Lean efforts and their results. Without proper understanding of lean approaches, it can spoil Lean efforts in one's organization garment, component or style. 
\section[{d) Toyota Production System}]{d) Toyota Production System}\par
It is a manufacturing system developed by Toyota in Japan after World War II, which aims to increase production efficiency by the elimination of waste. The Toyota production system was invented and made to work, by Taiichi Ohno. While analyzing the problems inside the manufacturing environment; Ohno came to conclude that different kinds of wastes (nonvalue added works) are the main cause of inefficiency and low productivity. Ohno identified waste in several forms, including overproduction, waiting time, transportation problems, inefficient processing, inventory, and defective products. 
\section[{Pareto Diagram:}]{Pareto Diagram:}\par
The Pareto diagram is a graphical overview of the process problems, in ranking order from the most frequent, down to the least frequent, in descending order from left to right. Thus, the Pareto diagram illustrates the frequency of fault types. Using a Pareto, one can decide which fault is the most serious or most frequent offender. 
\section[{Fishbone Diagram:}]{Fishbone Diagram:}\par
A framework used to identify potential root causes leading to poor quality.\par
Histogram: A graph of variable data providing a view of the distribution of data around the desired target value.\par
Scatter Diagram: A graph used to display the effect of changes in one input variable on the output of an operation. 
\section[{e) Just in Time}]{e) Just in Time}\par
Just-in-time manufacturing is a Japanese management philosophy applied in manufacturing. It involves having the right items with the right quality and quantity in the right place at the right time. In general, Just in Time (JIT) helps to optimize company resources like capital, equipment, and labor. The goal of JIT is the total elimination of waste in the manufacturing process. Although the JIT system is applied mostly to the manufacturing environment, the concepts are not limited to this area of business only. The philosophy of JIT is a continuous improvement that emphasizes on prevention rather than correction and demands a companywide focus on quality.  
\section[{III.}]{III.} 
\section[{Method and Materials}]{Method and Materials} 
\section[{J}]{J}\par
The methodology adopted for this study is a case study and brain storming. The case study conducted on a garment factory named Ananta Apparels Ltd. Located at Narayanganj. At first preliminary investigation was carried out at cutting, sewing, washing, finishing and packing section to identify the area where most of the defects occur. It finds that, the sewing section is highly suffered from defect and rework problems. For this reason, the sewing line is identified to conduct research work. The work 
\section[{a) Data Collection}]{a) Data Collection}\par
Data sheets collected for garment item such as polo shirt for three months. The data collected by the end line quality inspectors from two production lines of sewing section. We checked 3500 polo shirts, and 470 pieces were found defective. 
\section[{b) Application of Six Sigma DMAIC Methodology}]{b) Application of Six Sigma DMAIC Methodology}\par
Define Phase: Define is the first phase of the DMAIC methodology of Six Sigma. The purpose of this phase is to define the problem, the goal of the project and the process that needs to be improved to get a higher sigma level. There are different six sigma tools are available for define phase. Here SIPOC tool was applied.\par
Problem Statement: The garments manufacturer experience high volume of rejections of their products owing to defects.\par
Goal Statement: To decrease the percentage of the defect to the lowest level and thereby to reduce production cost and increase quality and productivity.\par
SIPOC: This is a process map that includes Suppliers, Inputs, Process, Outputs and Customers. Quality is judged based on the output of a process. Table \hyperref[tab_2]{1} shows the SIPOC flow of the selected factory.  
\section[{J}]{J}\par
aims to minimize the defect percentage by using the DMAIC approach of Six Sigma methodology. Secondary data of the sewing section collected from the management of the factory. The data collected for polo shirts only. According to our observation and using the end line quality data provided by the management, then we identified some repetitive defects that occur in the sewing section. The information and data collected were arranged so that further study and analysis could perform. The suggestions were made based on the brain storming session which was arranged by the management of the factory. Experts of the factory from different areas were present in that session. Due to time constraint, management could not be able to implement all of the suggestions together. But they implemented some of the suggestions in short time-frame on their pilot line and found some improvement. 
\section[{Table 3: Frequency of Defects of the Inspected Polo Shirts}]{Table 3: Frequency of Defects of the Inspected Polo Shirts}\par
Analyze phase: Two problem solving six sigma tools used at analyzing phase and these were: Brainstorming and cause and effect diagram.\par
Brainstorming: Brainstorming is one of an essential problem-solving tools. The goal of this tool is to identify the issues, solutions and opportunities. To find out the potential causes of the defects and their respective solutions, we arranged a brainstorming session where they applied the Round Robin method with the presence of the following members that are shown in table \hyperref[tab_4]{4}. Through brainstorming with sewing operators, line supervisors, end line quality inspectors, engineers, and floor manager, we recognized various probable causes. Then we identified the potential causes by online inspections and root cause analysis. Improve Phase: The purpose of the DMAIC Improve phase is to discover a solution to the problem that the task aims to address. This improve phase involves brainstorming potential solutions, selection of solutions to test and evaluating the results of the implemented solutions. Often a pilot implementation is conducted before a full-scale rollout of improvements. 
\section[{Cause and effect diagram:}]{Cause and effect diagram:}\par
Suggested Solutions: This study tried to suggest some potential solutions to minimize the causes of defects through Brainstorming, direct observation and literature review. Table-5 gives necessary solutions with their corresponding causes.  
\section[{Method}]{Method}\par
Incorrect size of the needle and thread for operation Ensure that the correct thread type and size rightly feeds both the needle and bottom (looper) positions.\par
Comparatively long stitch for the type of fabric in work.\par
Shorten the stitch length using the stitch regulator, especially when sewing fine fabrics Year 2019 J c) Implementation of the Solutions Based on the solutions provided by this study, we took some corrective actions mentioned in table-6.\par
We implemented it into one of their pilot sewing line. The pilot line had a total of 105 sewing machines. 
\section[{Table 6: Corrective Actions and Its Amount}]{Table 6: Corrective Actions and Its Amount}\par
Control Phase: After the implementation of the solutions, we shared the progressive outcomes with the management. The main defects were recognized and partially reduced in amount. Now the challenge is to withstand the progress and to refine the system continuously. For this purpose, a control plan is prepared. 
\section[{Control Plan:}]{Control Plan:}\par
The management needs to take the initiative on the following obligatory activities to withstand the progress after Six Sigma implementation: i. Arrange training continuously for the garments operators on the issue of quality. ii. Always use quality threads, needles, and other garment accessories.\par
iii. A sound incentive scheme should take for highquality performance. iv. Preventing defects will be given more priority than correcting defects. v. Enforce strict quality control in the line. vi. The organization should develop a proper Quality Management System.\par
IV. 
\section[{Results and Discussions}]{Results and Discussions}\par
We implemented all the suggested solutions into one of their pilot sewing lines. After the implementation of solutions percentage of defectives, then we calculated DPMO and Sigma Level by using the previous sigma level formula and reported on table 7.  
\section[{Conclusion}]{Conclusion}\par
Minimizing defect is very important for ensuring the quality of products. Manufacturing the quality product is mandatory to sustain in this global competitive market. This study follows the DMAIC methodology of Six Sigma to find out the major defects, their root causes and then suggests logical solutions to minimize those defects. This study identified some defects (broken stitch, skip stitch, raw edge, uneven stitch, down stitch, process missing, puckering and joint stitch) those were responsible for more than 80\% of total defects occurring in the sewing section of the garment factory for the item of a polo shirt. After finding the major defects, brainstorming tool was used to identify the probable causes and then we identified potential root causes by online inspections and root cause analysis. A significant improvement of the Sigma level found in the industry. So this method is very operative to the minimization of defects. If many garment factories in Bangladesh follow the six sigma concept, then they can minimize most of the defects in the sewing section. \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.85\textwidth}}
Year 2019\\
2\\
( ) Volume XIx X Issue III Version I\\
Journal of Researches in Engineering\\
Global\\
© 2019 Global Journals\end{longtable} \par
 
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 \begin{figure}[htbp]
\noindent\textbf{1} \par 
\begin{longtable}{P{0.1915983606557377\textwidth}P{0.027868852459016394\textwidth}P{0.2368852459016393\textwidth}P{0.06618852459016393\textwidth}P{0.3274590163934426\textwidth}}
\multicolumn{4}{l}{Measure Phase: At this phase, the percentage of}\tabcellsep Opportunities) and calculation of the Sigma Level of the\\
defects,\tabcellsep existing\tabcellsep DPMO\tabcellsep (Defect per Million\tabcellsep selected factory indicated in table 2.\\
\tabcellsep \tabcellsep \multicolumn{3}{l}{Now, Table-2 shows the DPMO and Sigma level of Existing process-}\end{longtable} \par
 
\caption{\label{tab_2}Table 1 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{2} \par 
\begin{longtable}{P{0.10854978354978355\textwidth}P{0.333008658008658\textwidth}P{0.07359307359307359\textwidth}P{0.0791125541125541\textwidth}P{0.09199134199134198\textwidth}P{0.16374458874458875\textwidth}}
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep Year 2019\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep 3\\
Suppliers -Acotex Bangladesh Ltd. -Fabian Group\tabcellsep Inputs Unstitched cloth Machinery Thread Needles\tabcellsep Processes Cutting Sewing Washing Ironing\tabcellsep Outputs T-shirt Polo shirt Pant\tabcellsep Customers -H\&M -Tesco -ZARA\tabcellsep ( ) Volume XIx X Issue III Version I\\
-D.H Fashion\tabcellsep \multicolumn{3}{l}{Button Zipper Label Total Checked pieces Finishing Packaging 3500 No. of Defectives \% Defectives 13.42 0.1342 DPO 470}\tabcellsep \tabcellsep Global Journal of Researches in Engineering\\
\tabcellsep DPMO\tabcellsep \tabcellsep 134285\tabcellsep \tabcellsep \\
\tabcellsep Sigma level\tabcellsep \tabcellsep 2.6063\tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep © 2019 Global Journals\tabcellsep \end{longtable} \par
  {\small\itshape [Note: Calculation of the Sigma level by using the following formula in Ms. Excel: .5; Where, Defects-470, Total Opportunities -3500, Sigma shift= 1.5.Sigma Level-Normisnv (1-Defects/Total opportunities) +1]} 
\caption{\label{tab_3}Table 2 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{4} \par 
\begin{longtable}{P{0.49716981132075466\textwidth}P{0.15859538784067087\textwidth}P{0.19423480083857442\textwidth}}
Defects\tabcellsep Real Occurrence\tabcellsep Percentage (\%) of Occurrence\\
Skip Stitch\tabcellsep 45\tabcellsep 9.57\\
Down Stitch\tabcellsep 37\tabcellsep 7.87\\
Broken Stitch\tabcellsep 134\tabcellsep 28.51\\
Raw Edge\tabcellsep 42\tabcellsep 8.94\\
Joint Stitch\tabcellsep 35\tabcellsep 7.45\\
Uneven Stitch\tabcellsep 38\tabcellsep 8.09\\
Spot/Oil stain\tabcellsep 25\tabcellsep 5.32\\
Hole/Damage\tabcellsep 15\tabcellsep 3.19\\
Puckering\tabcellsep 39\tabcellsep 8.30\\
Reject\tabcellsep 7\tabcellsep 1.49\\
Slanted\tabcellsep 5\tabcellsep 1.06\\
Uncut Thread\tabcellsep 2\tabcellsep 0.43\\
Reverse\tabcellsep 19\tabcellsep 4.04\\
Size Mistake\tabcellsep 4\tabcellsep 0.85\\
Process Missing\tabcellsep 23\tabcellsep 4.89\\
Total\tabcellsep 470\tabcellsep 100.00\\
\tabcellsep Attendants\tabcellsep Numbers\\
\multicolumn{2}{l}{Sewing Floor Manager}\tabcellsep 1\\
\tabcellsep Industrial Engineer\tabcellsep 2\\
\multicolumn{2}{l}{GPQ (Growth, Production, and Quality)}\tabcellsep 2\\
\multicolumn{2}{l}{End Line Quality Inspector}\tabcellsep 3\\
\tabcellsep Line Supervisor\tabcellsep 3\\
\multicolumn{2}{l}{Sewing Machine Operator}\tabcellsep 5\end{longtable} \par
 
\caption{\label{tab_4}Table 4 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{5} \par 
\begin{longtable}{P{0.39817961165048543\textwidth}P{0.1908373786407767\textwidth}P{0.26098300970873783\textwidth}}
Man\tabcellsep Machine\tabcellsep \\
\tabcellsep \multicolumn{2}{l}{Excessive pressure on the pressure foot}\\
Carelessness\tabcellsep \tabcellsep \\
\tabcellsep \multicolumn{2}{l}{Dull or bent sewing machine needle and knife}\\
Inadequate training and\tabcellsep \multicolumn{2}{l}{The machine is threaded incorrectly or}\\
operator inefficiency\tabcellsep \multicolumn{2}{l}{excessive thread tension}\\
\tabcellsep \tabcellsep All Defects\\
\multicolumn{2}{l}{The stitch is too long for the type of fabric in}\tabcellsep \\
work\tabcellsep \tabcellsep Poor quality needle\\
\multicolumn{2}{l}{Wrong needle size and thread size}\tabcellsep \\
\tabcellsep \multicolumn{2}{l}{Poor quality thread}\\
Incorrectly inserted needle\tabcellsep \tabcellsep \\
\tabcellsep Material\tabcellsep \\
Method\tabcellsep \tabcellsep \\
Areas\tabcellsep Causes\tabcellsep Suggested Solutions\\
\multicolumn{2}{l}{Inadequate training and operator inefficiency}\tabcellsep Trained and motivated operators sufficiently\\
Man\tabcellsep \tabcellsep \\
\multicolumn{2}{l}{Negligence}\tabcellsep Improved supervision.\\
\multicolumn{2}{l}{Machine The machine is threaded incorrectly or excessive}\tabcellsep Rethread machine and maintain proper thread tensions.\\
\multicolumn{2}{l}{thread tension}\tabcellsep \\
\multicolumn{2}{l}{Excessive pressure on the presser foot.}\tabcellsep Minimize the pressure on the presser foot.\\
\multicolumn{2}{l}{Bent sewing machine needle and knife.}\tabcellsep Replace the needle and knife with a new one.\end{longtable} \par
 
\caption{\label{tab_5}Table 5 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{7} \par 
\begin{longtable}{P{0.013307240704500978\textwidth}P{0.44080234833659493\textwidth}P{0.22455968688845399\textwidth}P{0.17133072407045008\textwidth}}
\tabcellsep Incorrectly inserted needle\tabcellsep \multicolumn{2}{l}{Check that the bobbin wounds correctly and no loose threads or loops sticking out.}\\
Material\tabcellsep Poor quality thread\tabcellsep \tabcellsep Using core spun yarn .\\
\tabcellsep Poor quality needle\tabcellsep \multicolumn{2}{l}{The needle should have high heat resistance capacity.}\\
\tabcellsep Corrective Actions\tabcellsep \tabcellsep Amount\\
\tabcellsep \multicolumn{2}{l}{Replacement of dull or bent sewing machine needles}\tabcellsep 16 needles\\
\tabcellsep Replacement of dull knives\tabcellsep \tabcellsep 9 knives\\
\tabcellsep Number of machines rethreaded\tabcellsep \tabcellsep 17 machines\\
\tabcellsep Correction of needle insertions\tabcellsep \tabcellsep 15 machines\\
\tabcellsep Replacement of faulty bobbins\tabcellsep \tabcellsep 3 machines\\
\tabcellsep Training provided\tabcellsep \tabcellsep machines 2 hours each day\end{longtable} \par
  {\small\itshape [Note: V.]} 
\caption{\label{tab_6}Table 7 :}\end{figure}
 		 		\backmatter  			  				\begin{bibitemlist}{1}
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\end{document}
