INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN)
Year:2007 | Volume:17 | Issue:5|Papers Count:11

Variance of EWMA Statistic is needed when control chart is used. In literatures, a relation is used for computation of this variance which is not exact. We show that this variance is less than the exact value. This paper first derives the exact variance of the EWMA statistic for independent observations. Then through the comparison of this new variance and old variance, the effect of exact variance on control limits of EWMA control chart is examined.

Agility is a set of capabilities and competencies that an organization should be have until can be thrive and prosper in a continuously changing, unpredictable business environment. At first, in this paper is presented a model for achieving organizational agility and then suggests a knowledge-based methodology for measuring agility. Therefore every organization for achieving to agility must have numbers of capabilities (e.g. responsiveness and flexibility) and competencies (e.g., rapid prototyping) and every one of capabilities and competencies were broken to some dimensions and every one of dimension to some indices. To measuring agility we use "IF {Fuzzy antecedents} THEN {Fuzzy consequent}" rules. This system uses expert knowledge and consists of implementation of Fuzzy Logic methods and terminology to measure organization agility at Iran Electronic Industry.

In this paper, referring to the processes and operations of the certification bodies for quality product certificate, we introduce customer relationship management and its subsystems, Sales Force Automation (SFA), Enterprise Marketing Automation (EMA) and Customer-support and services (CSS). Also we have an overview on electronic customer relationship management from analytical and collaboration aspects, and offer the steps of the implementation for such a system in the certification bodies.

Recent Studies has shown that for 3 reasons: ineffective cultures, lack of organizational knowledge management and useless controls, risk management has become unsuccessful. The extreme growth of inexpensive and rapid information technologies has created remarkable and significant organizational innovations and as a result of this operational complication, risk management is enforced in order to be competitive and fast response towards market changes. If you want to be a leader in the market, should hunt the new opportunities and it requires fast response. At this stage a question is propounded: if you spend a long time for studying about the investment, the opportunity may not be alive anymore. Therefore, information is some how part of the risk management problem and also part of the solution. But information gathering without concerning to its inner knowledge would be unsafe. Accordingly lots of risk management problems are not due to lack of information, but the more is knowledge failure and its interpretation.

Wave-induced hydrodynamics within the near shore region and the subsequent sediment transport and evolution of beaches under wave attack are important elements governing the stability of coastal zone. Based on surf zone hydrodynamics several efforts have been made to estimate the sediment transport and beach profile evolution during storm conditions. Recently, it has been found that the dominant processes responsible for along-shore and cross-shore sediment transport in coastal zone can be categorized in to two major parts: long shore transport due to wave-induced current resulted from oblique wave breaking and on-offshore transport due to the combination of wave orbital velocity and mean return flow or undertow in the surf zone. One of the main steps in calculating morphological changes of a beach profile is the determination of sediment transport rate due to the main flow pattern in the surf zone. In this paper the effect of geotechnical parameters such as medium grain size of the bed, internal friction angle of sediments, density and void ratio of sediments on sediment transport rate are investigated analytically and through field measurements. Field data have been collected from different locations along Caspian Sea coast (from Astara region on the west toward the eastern coast of guilan province). Different soil mechanics tests have been performed in the laboratory on the samples and the results are plotted compared with those estimated by a numerical model. Using the Advanced Near shore Profile Model (ANPM) developed by Nairn (1990), the sensivity of the transport rate results to different parameters are considered. The results obtained from the present work indicate that the geotechnical parameters have remarkable effect on sediment transport rates in the surf zone. It has been also found that the direction of long-shore sediment transport rate is from the west toward the eastern coast due to the change in the medium grain size of the sediments. Moreover, the major behavior of Caspian Sea coast in terms of cross-shore sediment transport is erosional which results of current research can be implemented in the different coastal projects along the Caspian Sea coast.

Recent Studies has shown that for 3 reasons: ineffective cultures, lack of organizational knowledge management and useless controls, risk management has become unsuccessful. The extreme growth of inexpensive and rapid information technologies has created remarkable and significant organizational innovations and as a result of this operational complication, risk management is enforced in order to be competitive and fast response towards market changes. If you want to be a leader in the market, should hunt the new opportunities and it requires fast response. At this stage a question is propounded: if you spend a long time for studying about the investment, the opportunity may not be alive anymore. Therefore, information is some how part of the risk management problem and also part of the solution. But information gathering without concerning to its inner knowledge would be unsafe. Accordingly lots of risk management problems are not due to lack of information, but the more is knowledge failure and its interpretation.

The first step in pavement design process is evaluation of subgrade soil properties, material properties that are available at the job site and also estimating the probable traffic volume that will use the road. Using this information, several pavement structures are considered as alternatives. Economic comparison as well as constructability of these alternatives will lead to selection of final design. Structural analyses of these alternatives require an accredited soft ware that has capability of modeling pavement cross sections. Otherwise comparison of structural integrity of these alternatives will be cumbersome. At the present time there are several computer programs that are available for structural analyses of pavement cross sections. However, a lot of data input information is needed for adequate use of these programs. Under many circumstances these information are not readily available. Therefore many consulting engineers are reluctant to use these soft wares. For this reason in this paper it is proposed to employ Artificial Neural Networks (ANN) as a substitute for these soft wares. One of the advantages of using (ANN) is that they require less data input information for analysis of pavement structure. With (ANN) it is possible to analyze several pavement structures simultaneously. Another advantage of using ANN is that they are fast and can adapt to changes in data and learn the characteristics of input signals. The neural network proposed in this paper is known as multilayered, feed Back Propagation Neural Network (BPNN) of the type 5-4-4-2 that has the capability of analyzing pavement structure with fewer data input information.

In this study earthquake reconnaissance has identified shear failure of reinforced concrete columns as a primary cause of collapse of older existing reinforced concrete frames. In this research, different factors which affect the shear failure have been studied. The models presented by previous researchers and related organization (i.e. ACI, FEMA) have been evaluated. Then by using the results of 56 cyclic loading tests on rectangular columns, a new model has been presented. This proposed model has the advantage of separating different modes of column failure.