Search

In today's competitive landscape, fulfilling customer expectations and achieving a competitive edge are crucial for business success. These objectives can be attained by effective monitoring in both manufacturing and service sectors to enhance quality, reduce variation, and augment productivity. The control chart, a widely used tool for this purpose, has attracted significant attention from researchers for its ability to detect anomalies and manage out‐of‐control situations. The optimization of control charts, a central focus of this review, not only enhances the detection effectiveness but also maintains the desired false alarm rate, thus ensuring efficient process control without additional cost, complexity, or operational challenges for shop floor personnel. The optimization process involves adjusting charting parameters like the sample size, sampling interval, and control limits within a hypothesis testing framework, thereby achieving optimal system performance. Numerous optimization models have been developed to enhance control chart performance. This paper introduces a classification scheme to analyze and categorize the existing research on control chart optimization. By conducting a thorough review of more than 240 articles, the study pinpoints research gaps and offers valuable insights, thereby advancing the future research in this domain. [ABSTRACT FROM AUTHOR]

This paper aims to assess and improve the sustainability performance at a higher educational institute (HEI) in UAE using DMAIC methodology, considering five sustainability aspects (knowledge, behaviour, concern, awareness and attitude). One primary and six secondary research questions were defined in the define phase. In the measure phase, a questionnaire was designed to measure the current sustainability level based on the five sustainability aspects. A questionnaire was distributed among campus populations and statistically analysed in the analysis phase. Participation in UI GreenMetric was used in the control phase to monitor the performance from 2018 to 2020. It was found that the communication college has the lowest sustainability level at 25% marginal error compared with other colleges. Also, students have the lowest sustainability level compared with faculty and staff at a 15% marginal error. The proposed framework can help HEI decision‐makers assess their sustainability levels and suggest plans to enhance sustainability performance. [ABSTRACT FROM AUTHOR]