Estimation and optimization of machine efficiency in the case of multi machine assignments is a difficult issue for some industries such as textile industry, due to the machine interference. Although the problem is not new, the solutions proposed are not full satisfactory. For example, the analytical formulas are not suitable for high number of machines; queuing theory approaches are complex and impractical for mill managers. On the other hand, simulation methodology seems to be a perfect tool to estimate and analyze; however, the simulation package programs are expensive and are not suitable for systematic optimization. In this paper, Duncan's economic control chart design methodology is proposed as an alternative way for one of the oldest...
Includes bibliographical references (pages [55]-56)This research addresses the problem of simplifyin...
This paper presents an economic design of X control charts with variable sample sizes, variable samp...
This paper proposes a two-level model by using a nonlinear integer programming model and queuing the...
[[abstract]]© 2006 Taylor & Francis - Duncan's economic model of Shewhart's original x cha...
Control charts are the primary tools of statistical process control. These charts may be designed by...
In this paper, two different approaches are proposed to determine and analyze the optimum economic i...
This paper presents an economic design of (X) over bar control charts with variable sample sizes, va...
With a view to monitoring and controlling manufacturing processes in industries, control charts are ...
As is in the textile industry, in some industries the selection of the operator servicing system to ...
When the (X) over bar chart is in use, samples are regularly taken from the process, and their means...
233 p.A multi-stage and multi-stream manufacturing system has several process stages, each of which ...
Control charts are widely used in industry for monitoring and controlling manufacturing processes. T...
Includes bibliographical references (pages [75]-78)Over the past forty years, many models have been ...
AbstractControl charts are widely used in industry for monitoring and controlling manufacturing proc...
Purpose – The exponentially weighted moving average (EWMA) control charts are widely used in industr...
Includes bibliographical references (pages [55]-56)This research addresses the problem of simplifyin...
This paper presents an economic design of X control charts with variable sample sizes, variable samp...
This paper proposes a two-level model by using a nonlinear integer programming model and queuing the...
[[abstract]]© 2006 Taylor & Francis - Duncan's economic model of Shewhart's original x cha...
Control charts are the primary tools of statistical process control. These charts may be designed by...
In this paper, two different approaches are proposed to determine and analyze the optimum economic i...
This paper presents an economic design of (X) over bar control charts with variable sample sizes, va...
With a view to monitoring and controlling manufacturing processes in industries, control charts are ...
As is in the textile industry, in some industries the selection of the operator servicing system to ...
When the (X) over bar chart is in use, samples are regularly taken from the process, and their means...
233 p.A multi-stage and multi-stream manufacturing system has several process stages, each of which ...
Control charts are widely used in industry for monitoring and controlling manufacturing processes. T...
Includes bibliographical references (pages [75]-78)Over the past forty years, many models have been ...
AbstractControl charts are widely used in industry for monitoring and controlling manufacturing proc...
Purpose – The exponentially weighted moving average (EWMA) control charts are widely used in industr...
Includes bibliographical references (pages [55]-56)This research addresses the problem of simplifyin...
This paper presents an economic design of X control charts with variable sample sizes, variable samp...
This paper proposes a two-level model by using a nonlinear integer programming model and queuing the...