An Extension Of Rahim And Banerjee'S Model For A Process With Upper And Lower Specification Limits

In this paper, we consider the model of Rahim and Banerjee (1988) for a process with random linear drift. We present an extension of their model for a process having both upper and lower specification limits. The model finds the optimal initial setting of the process mean and the optimal cycle length. We use Hooke and Jeeves search algorithm to optimize the model, and provide a numerical example

Determination Of The Optimal Process Means And Production Cycles For Multistage Production Systems Subject To Process Deterioration

In this paper, a multistage manufacturing system is considered. Each stage consists of a process which is subject to random deterioration with time. A mathematical model is developed for this problem to minimize the cost of maintenance (process adjustments), quality, and penalties for unfulfilled demand for items. The model rinds optimal initial settings of the process means and optimal cycle lengths. A Hook and Jeeves search algorithm is used to optimize the model, and a numerical example is provided. Sensitivity analysis of the given model is presented. Finally, some suggestions for improving performance of the process are presented

Determination Of The Optimal Process Means And Production Cycles For Multistage Production Systems Subject To Process Deterioration

In this paper, a multistage manufacturing system is considered. Each stage consists of a process which is subject to random deterioration with time. A mathematical model is developed for this problem to minimize the cost of maintenance (process adjustments), quality, and penalties for unfulfilled demand for items. The model rinds optimal initial settings of the process means and optimal cycle lengths. A Hook and Jeeves search algorithm is used to optimize the model, and a numerical example is provided. Sensitivity analysis of the given model is presented. Finally, some suggestions for improving performance of the process are presented

An Extension Of Rahim And Banerjee'S Model For A Process With Upper And Lower Specification Limits

In this paper, we consider the model of Rahim and Banerjee (1988) for a process with random linear drift. We present an extension of their model for a process having both upper and lower specification limits. The model finds the optimal initial setting of the process mean and the optimal cycle length. We use Hooke and Jeeves search algorithm to optimize the model, and provide a numerical example

Assessing Service Quality in a Saudi Bank

Service quality is defined as the degree of alignment between customers’ expectations and their perceptions of the service received. In this paper, we have used SERVQUAL as a technique to measure service quality in a Saudi hank (SB), a typical service provider in Saudi Arabia The aim is to explore the most important strength and weaknesses of SB. The analysis of this study showed that there are service quality gaps between customers’ expectations and their perceptions in six dimensions. Hence, SB has to take improvement actions in these dimensions. Keywords: Service quality, Banking service industry, Saudi Arabia, Customer satisfactio

Simultaneous determination of the optimal process mean and cutting speed for a manufacturing process

The relationship between machining speed and the process mean for a manufacturing process has received little attention. This paper presents an analytical model and its solution procedure to simultaneously determine the optimal machining speed and process mean when the objective is to minimize the total cost per part. The total cost of the model includes replacement (resetting), production and quality costs. A global optimization algorithm is used to solve the proposed unconstrained model. Numerical examples to demonstrate the effectiveness of the proposed model are given and an extensive sensitivity analysis of the proposed model parameters is also provided. It has been concluded that machining speed and process mean are highly related. Therefore, the machining conditions should be taken into account when solving process mean targeting problems.King Saud University, Riyadh, Saudi Arabi