Applying the DMAIC Approach for Promoting Quality of Services in Islamic Azad University

Do you know your customers precisely? Do you document the voice of your customers correctly? Is your process capable of meeting your customer requirements? Have your nonconformities been near to the ground? World-class organizations are these questions of their enterprise and implement active programs to drive process capability throughout the organization and share the results internally through higher efficiency and with their customers through higher quality products and services. Achieve the DMAIC approach for your quality improvement programs in educational systems. Through this paper, some fundamental concept on educational quality control system delivered, DMAIC approach described and customized for Islamic Azad (IA) University, Tehran South Branch which could help university managers to provide more problems solving climate in their universities through using a never ending continuous improvement cycle. This approach could be applied to other universities to help devise creative and imaginative solutions to present problems and could help researchers to spot opportunities that might otherwise miss

An approach to give grade for each departments of a university based on their performances

Decide on the most efficient department could help university managers to conduct their decision in a proper manner especially in their resource allocation programs, encouraging decision support systems, quality metrics and so on. Different decision maker may use different information bases, unlike relative weights to their criteria and also different uncertainty levels in their expressions. They could utilize many quantitative or qualitative methods based on their knowledge and experiences. There is no unique and commonly accepted procedure to accomplish such decision properly. This paper tends to advise a systematic approach to handle such management problems. Through this paper readers will be familiar with a simple theory and easy of use method called Analytic Hierarchy Process (AHP), the way to compare different departments in a given university based on their commonly experts expression and a sample hierarchy structure for the such desired cases. This method called Fuzzy AHP and abbreviated FAHP later. In order of more warning to the prescribed efficient method, we avoided to deliver detail arithmetical calculations

How by applying TQM, higher educational programs enriches?

TQM is a philosophy and system for continuously improving the services and/or products offered to customers. It can help a university provide better service to its primary customers--students and professors. The continuous improvement focus of TQM is a fundamental way of fulfilling the accountability requirements common to educational reform. Operating a no-fear TQM system with a focus on continuous growth and improvement offers more excitement and challenge to students and teachers than a "good-enough" learning environment can provide. This paper tends to give an overview about Total Quality Management abbreviated by TQM and its core concept due to implement it in universities in order to enrich the higher educational programs. Every body must know, TQM in Education is a timely tool, which must be clearly understood, adopted and implemented as soon as possible

Profitability of Iranian Stock Market Based on Technical Analysis Trading Rules

In this study, we focused on Tehran stock exchange market analysis based on applying moving average rules. The Tehran stock exchange in the Middle East has evolved into an exciting and growing marketplace where individual and institutional investor trade securities of over 420 companies. In an attempt to examine the ability to earn excess return by exploiting moving average rules, the average annual return on exponential moving average and simple moving average strategies were compared with annual return generated by naive buy and hold strategy. The finding based on the paired t-confidence interval hypothetical test procedures indicates that the moving average rule has more capability in predicting Tehran market and employment of the proposed technique generates excess returns for investors. Based on the findings, it is concluded that the Tehran capital market has great opportunities to apply such technique for yield enhancement and portfolio diversification.</p

Charpy Impact Response of the Cracked Aluminum Plates Repaired with FML Patches using the Response Surface Methodology

Here, the effect of fiber metal laminate (FMLs) patches was studied for repairing of single-sided cracked aluminum plates experimentally to see their response to Charpy impact tests. The main desired parameters were composite patch lay-up, crack length, and crack angle each one in three levels. All experimental attempts generated and followed based on the design of experiments method by using of response surface methodology. The predicted energy absorption values obtained from the model were in good agreement with the experimental results. No matter the specimens were repaired or not, as the crack length was increased the energy absorption of the structure was decreased. The experimental results also showed that for lengthen cracks, increasing of the crack angle had more effect on energy absorption. Also it was observed that the patch lay-up effective on the impact response of the specimens. The more the metal layer was departed from the aluminum plate and the FML patches interfacial surface, the less energy was absorbed in the structure

A Fuzzy Decision-Making Methodology for Risk Response Planning in Large-Scale Projects

Risk response planning is one of the main phases in the project risk management and has major impacts on the success of a large-scale project. Since projects are unique, and risks are dynamic through the life of the projects, it is necessary to formulate responses of the important risks. The conventional approaches tend to be less effective in dealing with the impreciseness of risk response planning. This paper presents a new decision-making methodology in a fuzzy environment to evaluate and select the appropriate responses for project risks. To this end, two fuzzy well-known decision-making techniques, namely, decision tree and TOPSIS (technique for order preference by similarity to ideal solution), are extended based on multiple selected criteria, simplifying parameterized metric distance and fuzzy similarity measure. Finally, a case study in an oil and gas project in Iran is provided to show the suitability of the proposed fuzzy methodology in large-scale practical situations

Industrial Valves Production Line Bottleneck Analysis: A Computer Based Simulation Approach

Abstract: Nowadays, optimization of production processes is considered as one of the main concerns in industry of installations. It is a difficult task with respect to wideness of systems and complexity of behaviors, so it requires consuming a noticeable quantity of time and cost. prediction of system behavior and performance of processes after exertion of the given changes may be either a difficult task that is exposed to uncertainty and or requires taking time and waste of sources in order to characterize the results derived from employing the executed changes. The present essay is mainly intended to present an effective and reliable model by means of stimulation approach toward recognizing of bottleneck in manufacturing aerators (ventilation filters) and industrial valves in order to reduce time period for delivery of orders. The results of current investigation led to predict of reduced time for delivery of orders up to 49%

Schedule-Allocate and Robust Sequencing in Three-Machine Robotic Cell under Breakdowns

The purpose of this paper is to model two problems comprising schedule-allocate (in case of producing identical parts) and sequencing of parts (in case of producing different parts). The first model is used for minimizing the cycle time and operational cost, and the second one for minimizing both the mean and standard deviation of the total production cost as well the cycle time, in an unreliable three-machine robotic cell which confronted with many uncertainty factors. In the current article, mathematical modelling and simulation-based optimization method have been presented to schedule-allocate similar parts and trace the optimal sequence of different parts. Several solution procedures, including epsilon-constraint method and multiobjective particle swarm optimization algorithm, for identical parts case and response surface methodology for different parts case are applied. The results derived from solving numerical examples revealed some advantages in terms of time to attain the optimal solution

Dynamic reliability assessment of a complex recovery system using fault tree, fuzzy inference and discrete event simulation

Any failure on the recovery system will cause a lot of environmental damage as well as energy loss. Hereof two types of alternatives; fast opening valve system (FOVS) and seal drum system (SDS) may be installed. The focus of this article is on the decision stage to choose the most preferred option in terms of reliability assessment. The major challenge in the research problem is on changing the pressure and temperature during operational cycles, which significantly affect the reliability. In addition, the lack of historical data complicates the reliability assessment method. Hence, we proposed a hybrid approach using fault tree analysis (FTA) and the Mamdani fuzzy inference to estimate reliability response as a function of a few frequently operating pressure and temperature. Also, discrete-event simulation helped us to evaluate the system reliability at different operating conditions. The comparisons reveals that the FOVs outperforms on average of 22.4% than the SDS and it is recommended for putting into practice for purchasing