Total quality management and quality engineering
1. Implementation of fuzzy rule-based algorithms in p control chart to improve the performance of statistical process control

Md. F. Rabbi; N. Chakrabarty; J. Shefa

Volume 7, Issue 4 , December 2018, , Pages 441-459

http://dx.doi.org/10.22105/riej.2018.150727.1062

Abstract
  In the statistical process control when the process is very sensitive and control limit shifts are the prime concerns, there fuzzy control charts can be a better solution. In decision making, extra “rather in control” and “rather out of control” decisions facilitate to find out ...  Read More

Case studies in industry and services
2. Assessment of fuzzy failure mode and effect analysis (FMEA) for reach stacker crane (RST): A case study

Md. Fazel Rabbi

Volume 7, Issue 3 , November 2018, , Pages 336-348

http://dx.doi.org/10.22105/riej.2018.140970.1050

Abstract
  FMEA (Failure Mode and Effect Analysis) refers to a proactive quality tool that enables the identification and prevention of the potential failure modes of a product or process. However, in executing traditional FMEA, the difficulties such as vague information, relative importance ratings, decisions ...  Read More