محمد بامنی مقدم

Today, according to the changing conditions and complexity in the business environment, managers must develop their competencies and qualifications in order to have an acceptable performance. Therefore, the aim of the current research is to provide a model for improving the competencies of key managers in Iran's Marine Engineering and Construction Company. This research is applied in terms of its purpose and is considered as an exploratory mixed research. In the qualitative phase of the research, semi-structured interview method with experts and theme analysis technique were used. For this purpose, interviews were conducted with 22 experts who were selected by purposeful and judgmental sampling and using the snowball technique. In the quantitative stage, in order to validate the created model, managers and experts in the Iran Marine Engineering and Construction Company were asked for their opinions with a questionnaire and the data were analyzed using the structural equation modeling method and smart PLS software. The sample size of 106 people was calculated by Cochran's formula and the statistical sample was selected by simple random method. Based on the results of theme analysis, the competencies of key managers were determined in 6 dimensions and 17 components, which include knowledge competency, attitudinal competency, skill competency, managerial competency, leadership competency, and value competency. Also, four categories of variables including the professional qualification of key managers, antecedents, moderating factors and consequences were identified and based on this, the research model was designed. Based on the results of the quantitative stage, the research model was approved. The competencies of key managers have a multidimensional and complex structure, the development of which can create valuable results inside and outside the organization.

Control charts are one of the most effective tools used in quality control to monitor various quality characteristics in a process with the aim to improve quality of the product. Usually, in Shewhart control charts, the normality assumption met for the data, but sometimes there is lack of information regarding the statistical distribution of the observations. For this reason, non-parametric control charts are used in this situation. In this research, non-parametric sign charts are introduced to deal with the lack of information regarding observations’ statistical distribution. Nonparametric Generalized Weighted Moving Average Sign Control Chart (NS GWMA) designed using statistical design and average run length (ARL) and its statistical performance was studied. But statistical design is not enough to ensure the performance of a control chart, so in the next steps, economic design (ED) and economic-statistical design (ESD) were applied using cost model of Lorenzen and Vance, in order to optimize both statistical and economical characteristics of the control chart.

Development of professional competence to perform key tasks and economic and social development of the organization is of particular importance. Hence, in the present research, the design of the model of professional competence of key managers in Iran's Marine Engineering and Construction Company has been discussed.

This study is an applied research that was conducted qualitatively using the qualitative content analysis method. For this purpose, sixteen documents were studied in order to identify the professional qualifications of key managers, and 14 academic and executive experts of the Oil Industry Research Institute and Marine Facilities Company were interviewed. Semi-structured interviews were conducted by combining purposeful judgmental sampling and snowball methods.

The pattern of professional qualifications of key managers includes four dimensions of capacity-building qualifications (foresight, system attitude, analysis skills, formation of work teams, motivation development, negotiation skills, technological skills, collaborative decision-making), balance competencies (leadership competencies, technical competencies, supervision and control, time management, communication competencies, executive competencies), Individual competencies (self-management, ethical competencies, professional experience, positive personality traits, behavioral competencies, professional knowledge, general knowledge) and development competencies (attracting and employing expert staff, training, and human resource development, organizational growth and development, business intelligence, creativity, and innovation).

Organizational managers need different characteristics to be successful. These characteristics allow a manager to act correctly in the organization and motivate other employees of the organization to move towards organizational goals.

We introduce a method for the statistical design of a depth-based control chart, using the percentile-based approach. The proposed control chart is affine invariant and is asymptotically distribution-free. Generally, the performance of a control chart is evaluated with the average run length metric. The average run length metric has a geometric distribution skewed to the right with a large standard deviation and may not be a proper measure for evaluating the control chart. Therefore, we use the statistical design method of control charts with the PL approach, which is an improvement and development on classical statistical design. By employing constraints on average run length, the length of in-control and out-of-control performances are guaranteed with predetermined probabilities and we can ensure that the in-control run length exceeds the desired value and the out-of-control run length is less than the desired value. Simulation studies show that the proposed control chart is more efficient than the average run length approach.

The aim of this study is extraction of potato protein via incorporation of ultrafiltration with different diafiltration times (90, 285 and 480 min), and evaluation of physicochemical and functional properties of extracted protein. So, in terms of functional characteristics (solubility, water and oil absorption capacity, emulsifying activity and emulsion stability) the concentrated permeate and retentate proteins, have been compared with control sample. In retentate and control samples the solubility increases significantly (P˂0.5) with raising the pH from 3 to 7, inverse it decreased between the 7 to 9. In addition, it was found that the solubility of retentate proteins were significantly (P˂0.5) more than control and permeated proteins. Also, the water absorption capacity of retentate proteins (18.85 g Water/ g protein Retentate 480 min) were more than the other samples (2.54 g Water/ g protein Permeate 90 min). Whereas, oil absorption capacity was significantly (P˂0.5) depended on diafiltration time and process. In a way that, by increasing the time this parameter dropped in all of the samples. It was also found that, the oil absorption of retentate samples (59.09 g oil/ g protein Retentate 90 min) were significantly (P˂0.5) more than the permeate ones (32.13 g oil/ g protein Permeate 90 min). Emulsifying activity and solubility of retentate samples were significantly grew by addition of diafiltration time, while these indexes reduced in permeate samples. The thermal analysis of retentate sample (with 480 diafiltration time) indicated that, it had higher water absorption capacity than control.

One of the most widely used tools in the rapid detection of assignable causes is control charts. Given the importance of economic costs, Duncan proposed the first economic model in the presence of multiple assignable causes in order to reduce the economic costs of the quality cycle. In his model and all the economic designs derived from that, assumed that after the occurrence of an assignable  cause, process is free from the occurrence of other assignable causes. In this paper, after criticizing previous models for incorrect and unrealistic use of this assumption to calculate the average cost per unit of quality cycle time, a realistic economic-statistical design in the presence of multiple assignable causes for economic-statistical design of  X-bar control chart is presented. The numerical results of our model show well that in the previous models; the average cost per unit time of the quality cycle is severely underestimated compared to the actual value and with increasing the Weibull distribution shape parameter, the probability of this assumption is greatly reduced. Therefore, it is suggested that in order to eliminate the shortcomings of the economic design of various types of control charts with multiple assignable causes in future research, they should be redesigned based on our model.

The economic design of control charts depends on the process shock model distribution and due to difficulties from both theoretical and practical aspects. This paper pursues to develop the economic design of X ̅ control chart for monitoring continuous flow processes under Bur XII shock model. The Burr XII distribution is flexible and its hazard rate can take many forms like as fixed, increasing, decreasing, and single mode or even U-shaped. Continuous flow processes are used in batch processes such as those meet to filtering, chemical processing and etc. A sensitivity analysis is executed and numeric examples are given to illustrate the effects of changing the parameters of the shock model distribution on the optimum values of the economic design models as discussed in this paper. In addition, we use uniform and non-uniform sampling schema and comparison between them. This comparison show that for non-constant hazard rate, non-uniform sampling scheme is better.

The aim of this study was to design and explain the agility model of the organization in Tehran Water and Sewerage Company.

The present study was cross-sectional in terms of time. In this study, by examining 10 professors and specialists of Tehran Water and Sewerage Company, effective variables were identified. In this research, Maxqda software was used for qualitative data analysis and theorizing.

The results showed that 201 open source codes were identified from 543 concepts. 20 main categories and 49 sub-categories including organizational authority, continuous improvement, organizational dynamics, organizational consequences, individual consequences, group consequences, organizational change, organizational strategic management strengthening, development and empowerment, organizational climate, organizational management subsystems, efficient organizational information systems Manpower competence, economic conditions of organizational management, socio-cultural environment, global technology environment, policy management and macro planning environment of organizational management, political management environment of organization, agile management of organization, strategic coordination.

According to the obtained results, by emphasizing on the technical abilities and skills of the employees of the organization, we should try to provide up-to-date information and knowledge to the employees. In this regard, appropriate training courses should be considered for the employees and the level of ability of individuals. Increase so that they can identify and record new foreign knowledge in a timely manner.

A proper method of monitoring a stochastic system is to utilize the control charts of statistical process control in which a drift in characteristics of output may be due to one or several assignable causes. In the establishment of $bar{X}$  charts, an assumption is made that there is no correlation within the samples. However, in practice, there are many industrial cases in which the correlation does exist within the samples. It would be more appropriate to assume that each sample is a realization of a multivariate normal random vector. Although some research works have been done on the economic design of control charts with single assignable cause with correlated data, the economic statistical design of $bar{X}$  control chart for correlated data under Weibull shock model with modified Taguchi loss function have not been presented yet. Using modified Taguchi loss function in the concept of quality control charts with economic and economic statistical design leads to better decisions in the industry. Based on the optimization of the average cost per unit of time and different combination values of Weibull distribution parameters, optimal design values of sample size, sampling interval and control limit coefficient were derived and calculated. Then the cost models under non-uniform and uniform sampling scheme were compared. The results revealed that the model under multiple assignable causes with correlated samples with non-uniform sampling has a lower cost than that with uniform sampling.