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Obviously, one of the objectives in governmental organizations is increasing the productivity to an acceptable level in a dynamic environment; based on this as per upstream strategy of Iranian vision in 2020; the total productivity share in GDP in Iran must be reached to 31.3% (at least). So the first step is measuring the current situation of our organization and defining the attributes and the KPIs...
Excellence of operations can support all selected strategies. Process excellence is fundamental for companies to be able to implement a chosen strategy. Small and medium size enterprises (SMEs) in the manufacturing industry are no exception to this rule, but the framework to review their processes' maturity has not been widely examined. This study presents a maturity model developed especially for...
Sometimes, quality of a process can be described by a functional relationship between response variables and explanatory variables which called profile. In some situations, there is an autocorrelation structure within a profile. Most of the times in real practice there is no enough data to estimate the process parameters. In this case, we can use a self-starting control chart which does not need preliminary...
In manufacturing processes, a vector of multiple responses is often monitored to assess if the process is in-control. A multivariate Shewhart control chart is one method of monitoring the mean vector. If the chi-square statistic exceeds an upper control limit (UCL), then an out-of-control signal occurs. The average run length (ARL) is used to determine the UCL value. ARLs have been estimated under...
In statistical process control, Gamma control charts are often designed for time-between-events (TBEs) monitoring. For Gamma distribution, the traditional equal-tail probability limits lead to the problem that some out-of-control events may occur in higher probability than in-control events. To overcome this problem, Gamma control limits with known parameters are proposed based on the narrowest confidence...
It is quite common that the quality is measured by a categorical factor, which is classified into several ordinal levels. Usually, a specific multinomial distribution is utilized to characterize the counts corresponding to each level. However, it neglects the order among the factor levels and a control chart based on it may fail to achieve ideal performance. In this work, the ordinal information is...
This case study arises from the need to make more robust and effective quality assurance procedures of the products by automating the final inspection process. The case study explains how the automation of the inspection process was performed in a company from the automotive sector. Knowledge, involvement and commitment of operators and respective managers should not be neglected because their reaction...
QFD is a well-known tool that forms a cross-functional planning process to transform customers' needs into detailed requirements. However, it is not that famous in the field of smart applications since technical people usually rely on customer relationship management people to identify their customers' needs and work accordingly. This article describes how public sector entities can use QFD to identify...
The identification of change points is often considered as a model selection problem and the most commonly used methods are the Akaike information criterion (AIC), Bayesian information criterion (BIC) and their modified versions. These methods rely on the parametric distribution of the characteristic of interest, and any deviation from the specified parametric model may lead to incorrect conclusions...
In the light of the rapidly changing and benefits brought by cloud computing, the study is to find the critical factors that may hinder the benefits of cloud adoption, with respective measures proposed. It was found that control self-assessment (CSA) can enhance the IS security and improve business value delivery. A research model between CSA, cloud security (CS) and cloud-related business performance...
Loss functions have been well studied for decades. Some researchers use loss function to design control charts economically, but few have used loss function to construct control charts directly. We propose a new class of control charts based on the concept of quality loss function. Our charts can be used for both univariate and multivariate processes, and they are more sensitive than Shewhart control...
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