...Mohammad Shamsuzzaman; Zhang Wu Purpose The exponentially weighted moving average (EWMA) control charts are widely used in industries for monitoring small and moderate process shifts. The purpose of this paper is to develop an algorithm for the optimization design of the EWMA chart (known as MD...

... in conjunction with ISO 9000:2008 to the production line of welded tubes for exhaust systems. The statistical methods used to monitor the process were mainly control charts. Capability index, Cp and Cpk, were used to measure the process attitude to produce compliant outputs. Dimensional data were acquired by non...

...Philippe Castagliola; Giovanni Celano; Antonio Costa; Sergio Fichera Purpose The use of control charts to monitor a product quality characteristic requires the selection of their design parameters. To select feasible design parameters, the constraints related to the inspection resources available...

...Giovanni Celano; Antonio Costa; Sergio Fichera; Enrico Trovato Purpose The search of the optimal economic design of the Bayesian adaptive control charts for finite production runs can be a long and tedious procedure due to the intrinsic structure of the optimization problem, which requires...

.... Many difficulties related to the operation and design of CUSUM and EWMA control charts are greatly reduced by providing a simple and accurate proposed R chart scheme. The performance characteristics (ARLs) of the proposed charts are very comparable to a great degree with FIR CUSUM, simple...

...Tzong‐Ru Tsai; Chen‐Chun Lin Purpose The purpose of this paper is to establish an exponentially weighted moving average (EWMA) control chart for monitoring the mean level of Gompertz lifetimes with type‐I censoring. Design/methodology/approach The proposed control chart is developed based...

... supplementary trend rules have been studied in the past, the extension to zone rules has not been made. This study begins to fill that void and indicates the direction for future efforts in the area. A control chart is used to monitor the impact of influences on a process as revealed in the characteristics...

... a control chart for the sample mean are presented and analysed. They demonstrate the high degree of statistical performance of this sampling procedure, particularly when used in systems with an increasing failure rate distribution. Practical implications This PSI method is important from a quality...

.... Part II: Control charts and process capability. This part is devoted to process control and capability assessments. Chapter 4 deals with basic variable and attribute control charts. This is followed by a discussion of key success factors in implementing control charts. Chapter 5 explains basic...

... model is developed for the economic statistical design of X¯ control chart to control the process mean affected by multiple special causes. The objective is to determine the design parameters of the X¯ control chart, which minimize the total quality control cost. A Markov chain approach is used...

... of Nitems are released to an inspection station for appraisal. The inspection station receives these lots upon an indication of the “no action” signal from the control chart. Lot acceptance is based on inspecting a random sample of size n_s. We denote the probability of acceptance...

...Chan‐Ieong Chan; Alan Ching Biu Tse; Frederick H. K. Yim Control charts have played an important role in monitoring the performance of operation processes, ever since their invention. Traditionally, according to Juran's idea and others, x‐bar charts are more sensitive than individual...

...M. Ben‐Daya; S.O. Duffuaa In this paper we incorporate Taguchi's loss function in the economic design of the control chart. This is done by redefining the in‐control and out‐of‐control costs using Taguchi's loss function. The new model brings Taguchi's off‐line concepts to the classical SPC...

... at the USA QFD symposium, which has been held annually since 1989 (ASI, 1989). © MCB UP Limited 2002 Quality function deployment House of quality Control charts Quality function deployment (QFD) is a new product development process which stresses cross‐functional integration. QFD...

...René Gélinas Discusses the problem of the joint determination of the parameters for X and R control charts. A simple heuristic, called a power approximation, is presented. The power approximation is based on three regression equations which are used to estimate the sample size and the control...

...Rajesh Piplani; Norma Faris Hubele Pattern recognition applied to control charts centers around the development and assessment of automated algorithms for detecting non‐random or unnatural patterns in observations collected from a production process. The work presented here marks the first...

...T.A. Spedding; K.K. Chan One of the major obstacles contributing to the cost, time and efficiency of improving the quality output of manufacturing systems is the propagation of defectives or errors through the system. Conventional individual control chart design does not address the problem...

...Raid W. Amin; Kuiyuan Li When there is a change in a process, the MaxMin exponentially weighted moving average (EWMA) control chart shows which parameters have increased or decreased. The MaxMin EWMA may also be viewed as smoothed tolerance limits. Tolerance limits are limits that include...

... and reliability, statistical process control is feasible for tracking a manufacturing process. However, the clustered defects frequently cause many false alarms when the standard control charts for defects are used. In this study, we present a method for constructing defect control charts in processes that yield...

...René Gélinas; Pierre Lefrançois This paper proposes a simplified procedure to approximate optimal values for the sample size, control limits, and sampling interval of a control chart based quality control station. The procedure considers the specifications in evaluating the control limits, permits...