درخت حوزه‌های تخصصی

Textiles as a forerunner in the industrialization of many current developed countries to the post-industrial stage has fundamental role. Due to the occurrence of many problems in the Iranian textile industry, this industry has faced many hardships. The objective of this article is to develop an evaluation model for sustainable technology in the textile industry. The present research method is applied, in terms of (quantitative-qualitative) mix method. The qualitative sector is consists of the statistical population of elite in the textile industry, which semi-structured interviews were carried out with 10 experts in the textile industry. Their ideas were refined in two stages using the Fuzzy Delphi method and according to the library studies and expert ideas, the evaluating components of technology were identified and a researcher-made questionnaire was developed in the Likert spectrum. Its validity was measured using confirmatory factor analysis and reliability with combined method. The quantitative sector is consist of the statistical population includes all engineers, managers and university professors of the textile industry, of which 200 people were randomly selected as the sample size. Based on the results of the qualitative and quantitative sectors, the technology evaluating model has been drawn including 10 dimensions of economic, cultural, environmental, marketing, legal, organizational, political, technical, managerial and marketing. Obstacles and influential factors in evaluating technology are stated here with their consequences.

The purpose of this study is to propose the model of designing a customer experience management model in the field of car relief services. In this study, the researcher used a mixed method. In this research, the researcher has used a combined approach. For this purpose, in the first study, to identify the components of customer experience management components from Grounded Theory approach, and in the second study, the model test was used using quantitative method. Protocol and in-depth interview with twenty senior managers were the first tools for gathering data, and in a quantitative method, required data were collected from 330 customers of Iran Khodro and analyzed by PLS software. The researcher conducted 20 interviews, theoretically saturated, and finally extracted 152 open source codes. Based on the theoretical literature, the researcher conducted axial and selective coding and presented the results in six main dimensions and thirty-three sub dimensions. The researcher includes six main dimensions brand satisfaction, customer experience, brand dependence, strategy, brand trust, customer support of the purchase and thirty-two sub-dimensions. The results also showed that customers' mental conflict in products with high and low involvment conflict leads to trust and loyalty to the brand, because loyalty to the brand is emotional and cognitive in nature

The purpose of this research is to design a model for the development of optimization of gasoline production in the oil refinery. The research method is experimental, which uses nonlinear programming. The statistical population is the set of sections and pressures of steam, benzene, octane in four different time periods for the production of gasoline products in accordance with the standards of the National Petroleum Products Distribution Company. Version 24.1.2 resolved. The results of determining the amount of slices for mixing in two time periods, the amount of steam pressure, octane and benzene to produce the final gasoline product for each of the nine slices in each time period are shown.. An increase in the amount of benzene in the gasoline product than the standard level causes an increase in the amount of air pollution. On the other hand, reducing the octane number will increase the knocking of car engines and will lead to a decrease in engine efficiency. Exceeding the standard gasoline steam pressure reduces the volume of gasoline consumed by customers and as a result creates customer dissatisfaction.