درخت حوزه‌های تخصصی

The rapid development of communication technologies and information and online computers and their usage in processes of the industrial production have facilitated simultaneous monitoring of multiple variables (characteristics) in a process. In this work, we applied boosted decision tree and Monte Carlo simulation to propose an efficient method for detecting in-control and out-of-control states in multivariate control processes.In this work, four classifiers (methods) - , , , – are used for detecting the process control states. Then, with converting detection results these four classifiers, the boosted decision tree is made and provides the ultimate result as the in-control or the out-of-control states. To show how the proposed model works and the superiority of this method over , , , and methods, we run it on a standardized trivariate normal process. To compare and evaluate the performance of classifiers, we used ARL functions and the evaluation measures including Accuracy (ACC), Sensitivity (TPR), Specificity (SPC), and Precision (PPV). The findings not only showed the superiority of the proposed method over the tradition Chi-square but also confirmed former results on the efficiency of decision tree for rapid detecting of mean shifts in multivariate processes in which data are gathered automatically.

The present study is conducted to identify the components of the establishment of an ethical marketing system based on the Islamic-Iranian approach with emphasis on the food industry.In terms of its purpose it is a descriptive analytic type, and collects statistical data using a library methodology for research literature and Delphi method based on an expert opinion survey. In order to achieve the purpose, through an applied approach and through a survey method, a researcher-made questionnaire. Then, through the Delphi technique, which is a reliance on thought and use of expert knowledge and views and after three stages, the agreement and consensus of the Delphi group have reported on the components for the establishment of the ethical marketing system based on Islamic-Iranian approach. In order to consider the scientific and technical aspects, 30 experts in marketing system (marketing professors and experts in food industry marketing) were determined. Data analysis has been done with a mixed approach based on deep and structured studies and through content analysis. The results showed that social norms, organizational norms, green norms, individual norms, 4 ps norms and religious norms are among the requirements of establishing an ethical marketing system based on the Islamic-Iranian approach with emphasis on food industry. Standards and ethics in marketing approach is one of the most pressing issues for the review of the development and prosperity of Islamic countries. Adherence to such ethical practices can help to elevate the standards of behavior and thus of living, of traders and consumers alike. Selected key marketing issues are examined from an Islamic perspective which, it is argued, if adhered to, can help to create a value-loaded global ethical marketing framework for MNCs in general, and establish harmony and meaningful cooperation between international marketers and Muslim target markets in particular.

Optimal working capital management can positively effect on the Firm performance, but this relationship can be affected by major characteristics of the firm, making an important subject for research. This research investigates the moderating role of firm characteristics on the relation between working capital management and financial performance of the firms listed in TSE during 2008 – 2017 period. Based on existing researches, three characters are considered as moderating variables in this research include firm size, debt ratio, and Governmental ownership. Financial performance and working capital management are measured using return on assets (ROA) and cash conversion cycle (CCC), respectively. We use from multivariate regression model with panel data for test of research hypotheses. The Results of this study show that, firm size affects the Relation between CCC (as a measure of working capital management) and ROA (as a measure of firm performance). However, debt ratio and Governmental ownership don’t any significant effect on the relationship between working capital management and financial performance of firms