International Journal of Quality Engineering and Technology (4 papers in press)

Regular Issues

• Statistical Analysis of Factors Associated with Recent Traffic Accidents Dataset: A Practical Study  
  by Emad Imreizeeq, Jamal N. Al-Karaki, Amjad Gawanmeh 
  Abstract: In this paper, we propose a logistic model to fit accidents dataset of 10,000 road crash incidents for the Emirate of Abu Dhabi published in 2020. After cleaning up the dataset, we use descriptive and inferential statistical tools to study the attributes of each variable. Then, we identify the main independent variables that can be incorporated in a general logistic regression model which also includes the interactions between them. Our analysis using the significance level of (alpha = 0.05) found that there is a reduced logistic regression model that can fit the data in which the location of accident can be represented using type of accident and the age of people involved in the accidents. Moreover, the results show that the interaction terms are not significant to be included in the model. Furthermore, the study shows that the odds for accidents by young age group (less than 40 years old) in external streets is 27% higher than the odds for internal streets, and that the odds for sequential type accidents in external streets is 13% higher than the odds for internal streets.
  Keywords: logistic regression; traffic accidents; accident data analysis; chi-square test.
  
  
• Quality Transformation to Improve Customer Satisfaction: Using Product, Process, System, and Behavior Model  
  by Venkatasudhahar Murugesan, Poornachandrika V, Surrya Prakash D, Dilip Raja N 
  Abstract: In recent years automotive manufacturing industries systematically improved their quality parameters principally through strategies within supply chain. However the current performance is not enough, industry dynamics and new technology development require a major quality transformation. Implementation of various quality improvements is the aim of achieving customer delight in many companies. Despite the marked improvements that have come from quality management, quality process, information technology systems, without a transformation within an organizations culture, quality management will continue to suffer. This paper presents a case study on the application of behavior model of a quality blue box with a plan, control, assure concept through Veto right approach, a process model of robust process automation in customer claim handling, system model of a mature audit tool. This work is carried out in a leading automotive commercial vehicle control system manufacturing company. This case study illustrates to get zero defects by applying behavior, process, and system models. After implementation, there is a significant change in the reduction of customer claims.
  Keywords: Veto right; Quality blue box; robust process automation; Quality transformation.
  
  
• A LEAN SIX-SIGMA CASE STUDY TO IMPROVE THE MANUFACTURING PROCESS AFFECTED DURING COVID-19  
  by Rohit Kenge, Zafar Khan 
  Abstract: The key manufacturing industry was badly affected by the COVID-19 in India. In this study, we found that the product demand is dynamic during COVID-19. We selected one of the electrical OEMs in India to execute the value added-Flow analysis and VSM study which showed 96% and 85% of total delivery lead time is contributed by NVA activities at the manufacturing process respectively. We also plotted the spaghetti diagram and analysed that total product movement is 287 metres in the current state with the complex flow. We did total of six main Kaizens after Ishikawa and FMEA. We constructed single-piece flow with saving of the half shop floor space and total product movement was reduced from 287 to 96 metres, while total delivery lead time was reduced from 14.6 to 7.72 days. We concluded that lean Six Sigma deployment in the manufacturing industry solved the problems of demand fluctuations.
  Keywords: lean manufacturing; VSM; FMEA; spaghetti; value-added flow.
  DOI: 10.1504/IJQET.2023.10047087
   
  
• Quality Insight: Application of DEJI Systems Model for Quality Assurance in Industry 4.0  
  by Adedeji Badiru 
  Abstract: Industry 4.0 is now sweeping through business and industry. It is expected that other enterprises, including government, academia, and the military will be adopting and leveraging Industry 4.0 in the coming years. It is, thus, essential that product quality assurance under Industry 4.0 be fully understood. This paper adds to the growing knowledge base of Industry 4.0 tools and techniques. The specific methodology of the paper focuses on using the systems approach of DEJI systems model in coordination with other project implementation techniques to expatiate the efficacy of Industry 4.0 as well as quality 4.0 in diverse enterprises.
  Keywords: DEJI; systems model; quality assurance; Industry 4.0; process improvement; quality standards; quality 4.0; triple C model; quality communication; quality cooperation; quality coordination; systems integration.
  DOI: 10.1504/IJQET.2023.10048108