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How to improve control quality in garment industry? What are the 7 tools of quality control in clothing industry and how to find high quality clothing manufacturers. - Synerg

How to improve control quality in garment industry? 7 tools of quality control in clothing industry.

Improving control quality in the garment industry involves implementing effective processes and strategies to ensure that the garments produced meet the required standards and customer expectations. Here are some steps used by high quality clothing manufacturers that you can take to enhance control quality in the garment industry:

  1. Establish Quality Control (QC) Standards: Define and document clear quality control standards for different stages of garment production, including fabric inspection, cutting, sewing, finishing, and packaging. These standards should cover aspects such as measurements, stitching quality, durability, color consistency, and overall appearance.
  2. Conduct Regular Inspections: Implement a systematic inspection process at various stages of production. This may include incoming material inspections, in-process inspections during production, and final inspections before shipment. Inspections can be carried out by dedicated quality control teams or trained personnel.
  3. Train and Educate Employees: Provide comprehensive training to all employees involved in the production process to ensure they understand the quality standards and techniques to identify and rectify defects. Training should cover areas such as fabric inspection, sewing techniques, equipment handling, and quality assurance procedures.
  4. Implement Standard Operating Procedures (SOPs): Develop and implement SOPs for each task involved in the garment production process. SOPs should clearly outline the steps to be followed, quality checkpoints, and quality control measures to ensure consistency and minimize errors.
  5. Use Quality Assurance Tools and Techniques: Employ various quality assurance tools and techniques such as statistical process control (SPC), Six Sigma, and Lean Manufacturing to monitor and control quality effectively. These tools help identify process variations, defects, and areas for improvement.
  6. Foster Supplier Partnerships: Collaborate closely with suppliers to ensure the quality of raw materials. Establish clear communication channels and quality agreements with suppliers to address any issues promptly and maintain consistent quality inputs.
  7. Implement Corrective and Preventive Actions (CAPA): Develop a robust CAPA system to address any quality issues or non-conformities identified during inspections. When defects are found, investigate their root causes, take corrective actions, and implement preventive measures to prevent recurrence.
  8. Implement Quality Audits: Conduct regular internal audits to evaluate the effectiveness of quality control systems and processes. Audits help identify areas of improvement and ensure adherence to quality standards and procedures.
  9. Embrace Technology: Leverage technology to enhance control quality. Implement automated systems for data collection, analysis, and reporting. Use computer-aided design (CAD) systems for pattern making and cutting, as well as quality control software to track and manage quality-related data.
  10. Customer Feedback and Continuous Improvement: Collect feedback from customers regarding the quality of the garments produced. Use this feedback to identify areas for improvement and take necessary actions to enhance customer satisfaction and product quality.

By following these steps, you can establish a strong quality control system in the clothing industry, leading to improved product quality, reduced defects, and increased customer satisfaction.

In the clothing industry, various tools and techniques are used to ensure quality control and improve the overall production process. Here are 7 tools of quality control in garment industry:-

  1. Checklists: Checklists provide a systematic approach to quality control by listing the critical steps and parameters that need to be evaluated at different stages of the production process. These checklists help ensure that no important aspect is overlooked during inspections, measurements, or assessments.
  2. Control Charts: Control charts are graphical representations used in statistical process control (SPC) to monitor and control the quality of a production process over time. By plotting data points on the control chart, variations and trends can be visually analyzed to identify any out-of-control conditions or deviations from the desired quality standards.
  3. Sampling Plans: Sampling plans are used to determine the number of samples to be inspected from a batch or production lot. They define the sampling size and acceptance criteria based on statistical principles. Sampling plans help ensure that a representative portion of the garments is inspected while keeping the inspection process efficient and practical.
  4. Pareto Analysis: Pareto analysis is a technique used to identify and prioritize quality issues or defects based on their frequency or impact. By organizing and analyzing data on defects, you can identify the most significant issues that contribute to quality problems and focus on addressing them first. This analysis helps allocate resources effectively for improvement efforts.
  5. Root Cause Analysis (RCA): Root cause analysis is a problem-solving technique used to identify the underlying causes of quality issues or defects. By investigating the root causes, you can implement corrective and preventive actions to eliminate or minimize the recurrence of the problems. RCA techniques such as the “5 Whys” help delve into deeper layers of causality.
  6. Fishbone Diagram (Ishikawa Diagram): The fishbone diagram is a visual tool used to identify and analyze the potential causes contributing to a quality problem. It provides a structured approach by categorizing possible causes into major categories (such as people, process, materials, equipment, etc.) and identifying specific factors within each category. This tool helps identify areas for improvement and guides problem-solving efforts.
  7. Failure Mode and Effects Analysis (FMEA): FMEA is a systematic approach used to identify potential failure modes, their causes, and the effects they may have on product quality. By analyzing and rating the severity, occurrence, and detectability of each failure mode, you can prioritize actions to mitigate or eliminate the risks. FMEA is commonly used during the design and development stages to proactively address potential quality issues.

These best practices in garment manufacturing / 7 tools of quality control, when applied effectively, enable the clothing industry to monitor, analyze, and control quality, leading to improved processes, reduced defects, and enhanced customer satisfaction. If you are looking on how to find high quality clothing manufacturers then you must ensure that the selected clothing manufacturers are aware of the above system and applying it to control and improve the quality of the clothing.