An increasing number of applications in the chemical industry involve measuring nonconforming items, particularly in high-purity processes or high-yield processes. Dedicated monitoring tools such as the time-between-events (TBE) control charts have been developed for both discrete time (CCC-charts) and continuous time (tr-charts) for detecting any shifts in the process defect rate. However, most common performance metrics used in literature are not always appropriate and may not suffice to describe the efficiency of a monitoring system. The definition of conditional performance measures described in the literature is extended to TBE charts. These metrics are computed for Shewhart-type TBE charts with run rules and used to compare these char...
Statistical quality control is an important tool used widely at service provision fields to monitor ...
This paper proposes three synthetic-type control charts to monitor the mean time-between-events of a...
International audienceExponentially weighted moving average (EWMA) control charts for time-between-e...
An increasing number of applications in the chemical industry involve measuring nonconforming items,...
Quality is an extremely important feature for satisfying customers and winning market shares nowaday...
Manufacturing with optimal quality standards is underpinned to the high reliability of its equipment...
International audienceIn this paper, we study the performance properties of the phase II exponential...
A count of the number of defects is often used to monitor the quality of a production process. When ...
In some production environments the defect rates are considerably low such that measurement of fract...
Because the in-control distribution and parameters are generally unknown, control limits have to be ...
In today's competitive marketplace, companies must continually strive for improved quality and produ...
Shewhart-type attribute charts are known to be inefficient for small changes in monitoring nonconfor...
International audienceIn this paper, we present a number-between-events (NBE) control chart for moni...
Two commonly used statistical quality control charts, the c-chart and u-chart, are unsatisfactory fo...
Monitoring and improving manufacturing processes involves identifying, investigating and eliminating...
Statistical quality control is an important tool used widely at service provision fields to monitor ...
This paper proposes three synthetic-type control charts to monitor the mean time-between-events of a...
International audienceExponentially weighted moving average (EWMA) control charts for time-between-e...
An increasing number of applications in the chemical industry involve measuring nonconforming items,...
Quality is an extremely important feature for satisfying customers and winning market shares nowaday...
Manufacturing with optimal quality standards is underpinned to the high reliability of its equipment...
International audienceIn this paper, we study the performance properties of the phase II exponential...
A count of the number of defects is often used to monitor the quality of a production process. When ...
In some production environments the defect rates are considerably low such that measurement of fract...
Because the in-control distribution and parameters are generally unknown, control limits have to be ...
In today's competitive marketplace, companies must continually strive for improved quality and produ...
Shewhart-type attribute charts are known to be inefficient for small changes in monitoring nonconfor...
International audienceIn this paper, we present a number-between-events (NBE) control chart for moni...
Two commonly used statistical quality control charts, the c-chart and u-chart, are unsatisfactory fo...
Monitoring and improving manufacturing processes involves identifying, investigating and eliminating...
Statistical quality control is an important tool used widely at service provision fields to monitor ...
This paper proposes three synthetic-type control charts to monitor the mean time-between-events of a...
International audienceExponentially weighted moving average (EWMA) control charts for time-between-e...