This study proposes a procedure for an on-line process control system to monitor the average number of defects using a Shewhart-like chart with two sets of limits (viz., control and warning limits). After the production of m units, the mth item is inspected. If the number of defects exceeds the upper control limit or if, in a sequence of the last h inspections, all inspected items exhibit a number of defects between the warning and control limits, then the process is stopped for adjustment; otherwise, production continues. The properties of an ergodic Markov chain are used to obtain an expression for the average cost per item produced. The inspection interval (m), warning and control limits (W and C, respectively), and the sequence size (h)...
Statistical quality control techniques are useful in monitoring the process behaviour. Attribute co...
This paper presents an economic design of X control charts with variable sample sizes, variable samp...
This paper presents the expected long-run cost per unit time for a system monitored by an adaptive c...
This study proposes a procedure for an on-line process control system to monitor the average number ...
In this paper, a procedure for the on-line process control of variables is proposed. This procedure ...
The aim of this paper is to present an economical design of an X chart for a short-run production. T...
Control charts are a popular tool in statistical quality control and are used to maintain current co...
A model is developed consisting of all the costs incurred when fraction-defective control charts are...
A count of the number of defects is often used to monitor the quality of a production process. When ...
Generally, production systems that use automatic control as automatic welding process, production of...
This paper presents a new Statistical Process Control model for the economic optimization of a varia...
The procedure of on-line process control by attributes, known as Taguchi`s on-line process control, ...
CCC-r control chart is a monitoring technique for high yield processes. It is based on the analysis ...
In this paper, a two stage control chart for monitoring the defective rate of high-yield processes i...
Process inspection schemes using control charts with warning lines are considered and the properties...
Statistical quality control techniques are useful in monitoring the process behaviour. Attribute co...
This paper presents an economic design of X control charts with variable sample sizes, variable samp...
This paper presents the expected long-run cost per unit time for a system monitored by an adaptive c...
This study proposes a procedure for an on-line process control system to monitor the average number ...
In this paper, a procedure for the on-line process control of variables is proposed. This procedure ...
The aim of this paper is to present an economical design of an X chart for a short-run production. T...
Control charts are a popular tool in statistical quality control and are used to maintain current co...
A model is developed consisting of all the costs incurred when fraction-defective control charts are...
A count of the number of defects is often used to monitor the quality of a production process. When ...
Generally, production systems that use automatic control as automatic welding process, production of...
This paper presents a new Statistical Process Control model for the economic optimization of a varia...
The procedure of on-line process control by attributes, known as Taguchi`s on-line process control, ...
CCC-r control chart is a monitoring technique for high yield processes. It is based on the analysis ...
In this paper, a two stage control chart for monitoring the defective rate of high-yield processes i...
Process inspection schemes using control charts with warning lines are considered and the properties...
Statistical quality control techniques are useful in monitoring the process behaviour. Attribute co...
This paper presents an economic design of X control charts with variable sample sizes, variable samp...
This paper presents the expected long-run cost per unit time for a system monitored by an adaptive c...