Quality Control
Forbes Chiromo; Nomupendulo Nokuthula Msibi
Abstract
This single case study examined how key internal audit planning and implementation determinants impacted a South African automotive company's ISO 9001 Quality Management System objectives. The study used a mixed method approach; qualitative data nesting in quantitative data. The purposive sampling technique ...
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This single case study examined how key internal audit planning and implementation determinants impacted a South African automotive company's ISO 9001 Quality Management System objectives. The study used a mixed method approach; qualitative data nesting in quantitative data. The purposive sampling technique was used to collect primary data from managers, internal quality auditors, and auditees. Professional judgment was used to collect secondary data from the 2017 to 2020 audit reports. Descriptive data analysis was conducted on the data collected. The internal audits were conducted beyond departmental boundaries and organizational structures. The audit determinants were; compliance with the ISO 9001 standards, and maintenance of ISO 9001 QMS certification. The process and system internal quality audits were conducted to correct nonconformities before and after external audits. Audit reports from certification bodies also determined the scope of the subsequent internal audit programs for processes and systems. In addition, the internal auditors relied on their judgments and on the technical experts' advice to sample processes, areas, and material to be audited. Management audit review reports also contributed to determining the scope of audit programs. Despite different stakeholders' contributions, the company's internal quality audit programs did not embrace customer focus and continuous improvement. The audit program was a reaction to internal and external stakeholders' complaints. However, the study is fundamental to improving the company's ISO 9001 quality management system performance. It discusses issues that drive the planning and implementation of audit programs. The findings are likely to stimulate similar research in other sectors and on a bigger scale. There are also opportunities to evaluate the determinants related to monitoring, reviewing, and improving audit programs.
Quality Control
Chimata Murali Krishna; Satyam Sahu; Mayank Kisnya; Gunwant Mishra; Samyak Jain
Abstract
The objectives of this work are to investigate the status of implementation of quality initiatives by manufacturing firms in Madhya Pradesh, India, and to compare large and small-medium scale industries. Very few researchers have attempted to compare large scale and small-medium scale firms in order ...
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The objectives of this work are to investigate the status of implementation of quality initiatives by manufacturing firms in Madhya Pradesh, India, and to compare large and small-medium scale industries. Very few researchers have attempted to compare large scale and small-medium scale firms in order to know the extent of implementation of quality initiatives for a state like Madhya Pradesh. In this study, the survey questionnaire method was used for the collection of data. Nine quality initiatives were selected for the study. The obtained data are grouped into two groups: 1) large scale firms, and 2) small-medium scale firms. Descriptive and inferential statistics are used for analysis and the results are presented. Hypothesis testing was used to investigate for any significant difference between the two groups of firms in implementing each quality initiative. Results from inferential statistics reveal that there is a significant difference in the implementation of quality initiatives in large and small-medium scale industries. The findings of the present work will guide firms to identify areas where improvement is required at each quality initiative level. The study will help small-medium scale firms in the Madhya Pradesh state of India to conduct training programs in the areas of relevant quality initiatives for improving their quality of products.
Quality Control
Duy Duong-Tran; Romina Dastoorian; Lee Wells
Abstract
Exponential Weighted Moving Average (EWMA) control charts have been widely used in Statistical Process Control (SPC) to detect small and persistent process shifts. In theory, EWMA control limits monotonically increase over time to account for the continual growth of the EWMA statistic’s variance. ...
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Exponential Weighted Moving Average (EWMA) control charts have been widely used in Statistical Process Control (SPC) to detect small and persistent process shifts. In theory, EWMA control limits monotonically increase over time to account for the continual growth of the EWMA statistic’s variance. However, these control limits are often assumed constant and are set to their respective asymptotic limits to simplify the process of applying and analyzing EWMA control charts. One-sided EWMA charts are often implemented when it is only desirable to detect shifts in a specific direction. When using one-sided EWMA charts, reflecting boundaries (resets) can be used to prevent the statistic from drifting too far from the chart’s control limit, which can delay shift detection. There have been several research efforts into designing and studying the performance of one-sided EWMA charts with reflecting boundaries. However, these efforts have maintained the constant control limit assumption. When implementing a reflecting boundary, the EWMA statistic’s variance is constantly being reset to zero, which may significantly affect the constant control limit assumption’s validity. The focus of this paper is to understand behavior of the one-sided EWMA control charts with constant and time-varying limit assumption through simulation studies.
Quality Control
Nazila Adabavzeh; Mehrdad Nikbakht
Abstract
The airline industry plays a fundamental role in the economic and social development of societies and it also has an important impact on improving foreign trade. The airline industry is one of the main infrastructures for sustainable development of the country. The quality of the reverse engineering ...
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The airline industry plays a fundamental role in the economic and social development of societies and it also has an important impact on improving foreign trade. The airline industry is one of the main infrastructures for sustainable development of the country. The quality of the reverse engineering service of the airline industry will be effective in increasing the safety and health of structures, reducing the impact of disasters and reducing costs. The airline industry needs its own defined models to measure the quality of service which has the ability to assess the quality of the services of this industry. Purpose of this research is to present a developed SERVQUAL model to assess the quality of services in the air industry. The Developed Reverse Logistic Airline Service Quality (RL AIRQUAL) model was a descriptive and cross-sectional analysis of reverse-customer support services of six organizational units of the air industry company using a 35-item questionnaire with standard 5-point Likert scale and adjusted SERVQUAL in eight dimensions of tangibility, reliability, assurance, empathy, responsiveness, safety and security, customer satisfaction and customer loyalty dimensions. Data were analyzed by paired t-test using SPSS software. Based on the determination of reverse service support quality, the responsiveness had the highest gap and safety and security had the lowest gap. The results can be used to assess the competitive position of the organization and identifying opportunities for improving the airline industry. With the help of the results of the modified model evaluation, applicable and suitable solutions can be developed to improve customer satisfaction.
Quality Control
Hernadewita Hernadewita; Diky Herdiawan; Afriyuddin Afriyuddin; Hermiyetti Hermiyetti
Abstract
As one manufacturing industry which has engaged in the textile industry and produced zippers, the painting process at zipped production has a number of problems, as on zipper sticks to each other, uneven paint, etc. In this discussion, the improvements that will be made are related to the painting process. ...
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As one manufacturing industry which has engaged in the textile industry and produced zippers, the painting process at zipped production has a number of problems, as on zipper sticks to each other, uneven paint, etc. In this discussion, the improvements that will be made are related to the painting process. Quality Control Circle (QCC) method is applied to reflect the support of the continuous improvement program in the company. The painting process is the finishing process of a zipper that serves as a coating to be resistant to corrosion and enhance the zipper appearance. The results of the study, it is found the main problem in the zipper painting process, which are Abbeku or sticking. This is due to the factors, such as machinery, methods, and materials. Of the three factors, there is one of the biggest problem factors, namely the position of non-standard spray gun. The focus of the improvement that will be made is the modification of the spraygun holder so that the fix position does not change. The results after an improvement in the modification of the spray gun holder are Abbeku (sticking) loss on the painting production which is originally 23 lots. As a conclusion, it eliminates the biggest loss factor in the painting process, replaced the position of the spraygun that is not fixed.
Quality Control
Surya Perdana; Dana Santoso Saroso
Abstract
The industry under study is a company in the field of making Speaker, Megaphone and Amplifier. In this study, the Thoshiba IS 350 GS 350 Ton machine has observed. Constraints such as when producing machine Speaker Parts produce high reject products up to 7% of the total monthly production. When operating ...
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The industry under study is a company in the field of making Speaker, Megaphone and Amplifier. In this study, the Thoshiba IS 350 GS 350 Ton machine has observed. Constraints such as when producing machine Speaker Parts produce high reject products up to 7% of the total monthly production. When operating the machine often experiences downtime due to damage to the engine. Damage causes high employee overtime due to having to pursue production targets and the costs to be incurred by the company can reach Rp. 3 billion per month. Evaluation is done by calculating Overall Equipment Effectiveness (OEE) and comparing with OEE before repairs. Furthermore, discussed the factors that influence the effectiveness of the Injection molding machine contained in the six big losses and other problems where the method of analysis with fishbone diagrams. After that, the discussion was conducted using the analysis of Failure Mode and Effect Analysis (FMEA) to identify and analyze potential failures and their consequences. From the results of the observation, the main cause of damage to the Thoshiba IS 350 GS 350 Ton machine is the low Performance Rate with an average value of 63.5% in April 2018, this is caused by the value of Reduced Speed Losses that have the biggest contribution in six big losses with a loss of 86.9 hours which results in the Thoshiba IS 350 GS 350 Ton Machine not working optimally.
Quality Control
Hernadewita Hernadewita; Mahefud Ismail; Mohamad Nurdin; Lien Kusumah
Abstract
Quality control is an important thing that must be done by the company to minimize defective products. The company can analyze product defects by using the Six Sigma method, by formulating Define, Measure, Analyze, Improve, and Control (DMAIC) that occurs. PT. XYZ as a large company that prints magazines ...
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Quality control is an important thing that must be done by the company to minimize defective products. The company can analyze product defects by using the Six Sigma method, by formulating Define, Measure, Analyze, Improve, and Control (DMAIC) that occurs. PT. XYZ as a large company that prints magazines often faces the problem of quality defects in its printouts, resulting in the cost losses due to production defects every year is not small, as a result of not being sold. The Six Sigma method is an approach method to help control the quality of production. This study conducts to determine the level of sigma from the current production process, the types of defects that are a priority to be addressed, and the causes of disability. From the results of the study, the sigma value of current production is 3.6 or DPMO of 15919.63613. The type of defect that occurs is blurred by 59%, does not register at 29% and paper cut by 12%. To achieve Six Sigma it is necessary to take corrective steps using the results of the analysis.
