This paper presents a numerical solution for vibration analysis of cantilevered non-uniform trapezoidal thick plates. Based on the first shear deformation theory, kinetic and strain energies of the plate are derived and using Hamilton's principle, governing equations and boundary conditions are derived. A transformation of coordinates is used to convert the equations and boundary conditions from the original coordinates into a new computational coordinates. Using Differential quadrature method (DQM), natural frequencies and corresponding modes are derived numerically. Convergence and accuracy of the proposed solution are confirmed using results presented by other authors and also results obtained based on the finite element method using ANSYS software. Finally, as the case studies, two cases for variation of thickness are considered and the effects of angles, aspect ratio and thickness of the plate on the natural frequencies are studied. It is concluded that two angles of the trapezoid have opposite effect on the natural frequencies. Also, it is shown that all frequencies rise as value of thickness increases or value of the aspect ratio of the plate decreases. The most advantage of the proposed solution is its applicability for plates with variable thickness.

This paper presents an empirical investigation to study the role of quality in supply chain management in development of brand equity. The study uses two questionnaires, one for measuring quality in supply chain adopted from Fynes et al. (2014) [Fynes, B., De Burca, S., & Marshall, D. (2004). Environmental uncertainty, supply chain relationship quality and performance. Journal of Purchasing and Supply Management, 10(4), 179-190.] and the other for measuring the brand equity, which was adopted from Buil et al. (2013) [Buil, I., De Chernatony, L., & Martínez, E. (2013). Examining the role of advertising and sales promotions in brand equity creation. Journal of Business Research, 66(1), 115-122.]. The survey has accomplished among auto part producers in Iran. The study selects 385 randomly selected people who were active in this industry. Using Spearman correlation ratio as well as Stepwise regression techniques, the study has concluded that there were positive and meaningful relationships between three supply chain factors, namely relationship, commitment and compatibility, and brand equity.

Inventory management is considered as major concerns of every organization. In inventory holding, many steps are taken by managers that result a cost involved in this row. This cost may not be constant in nature during time horizon in which perishable stock is held. To investigate on such a case, this study proposes an optimization of inventory model where items deteriorate in stock conditions. To generalize the decaying conditions based on location of warehouse and conditions of storing, the rate of deterioration follows the Weibull distribution function. The demand of fresh item is declining with time exponentially (because no item can always sustain top place in the list of consumers’ choice practically e.g. FMCG). Shortages are allowed and backlogged, partially. Conditions for global optimality and uniqueness of the solutions are derived, separately. The results of some numerical instances are analyzed under various conditions.

This paper aims to examine the effects of technology adoption and quality of websites on customer satisfaction as well as customer loyalty in banking industry. It also investigates the effect of electronic customer satisfaction on customer loyalty and the effect of electronic customer satisfaction on customer loyalty on e-CRM. The study is accomplished among managers of bank Sepah in city of Qom, Iran. Using structural equation modeling, the study has confirmed that there was a positive and meaningful relationship between the effects of technology adoption and quality of web services on electronic customer satisfaction and customer loyalty. The results also confirm the positive effect of customer satisfaction on customer loyalty, electronic customer satisfaction as well as electronic customer loyalty on e-CRM.

This research aims at examining effective factors on improvement of human forces & apos; productivity and determining degree of influence and importance of each group among factors including workshop equipment and arrangement in organization, system of control and supervision on employees, degree of employees training, occupational value of employees and at last, administrating meritocracy system on improvement of human forces & apos; productivity. Statistical population is composed of bureau of naval operations & apos; employees in oil terminals & apos; company in Khark, Iran. Statistical population has been 230, among which 135 people were determined as statistical sample size using Cochran formula. Survey instrument in this research has been questionnaire, according to which employees & apos; ideas about effective factors on employees & apos; productivity were evaluated. These questionnaires completed by people among statistical sample contain 16 close questions which were set up according to Likert 5-grade scale and were distributed as 135 numbers that after returning questionnaire, statistical analysis and data processing were accomplished. Analysis was performed in 2 descriptive and inferential statistics levels. Results of data analysis show that: A) 5-fold factors under review “workshop equipment and arrangement of organization, system of control and supervision on employees, degree of employees training, occupational value of employees and administrating meritocracy related to human resources by management” have had effects on improvement of employees & apos; productivity as average. B) degree of employees training and then occupational value of employees and administrating meritocracy system have had the most influence, and workshop equipment and arrangement of organization and system of control and supervision on employees have had the least influence.

In the recent years, issues like high competitive pressure, globalization, business difficulties, resources limits, technological complications and activities specialization, fast changes in environment, etc. have caused organizations to reconsider their management methods. As a result, they are looking forward to branding new strategies in order to achieve competitive advantages. Focusing on main competences and outsourcing most of the activities are some of these strategies. Assessment management and selecting the appropriate contractor who holds adequate efficiency is of critical importance for having a project accomplished in time and with foreseen resources. Various qualitative and quantitative factors of different importance are involved in contractors’ assessment and should be taken into account before decision making. In this paper, once the factors are identified using fuzzy screening method, they are prioritized according to their importance by means of fuzzy hierarchical analysis.

This study aims to investigate the effects of demographic characteristics, including gender, marital status, level of education and age on adherence to religious values among young people in city of Shahin Dezh and Takab, located in province of West Azerbaijan, Iran in 2014. The study has accomplished between two groups of Turk and Kurd with the population of 85,000 and 89,000, respectively. The study uses a sample of 20 and 30 people from Turkish and Kurdish tribes, respectively, and uses t-student test as well as regression analysis to examine different hypotheses of the survey. The results show that there was a meaningful difference among various variables of gender, marital status, education level and age in adherence to religious values among the youth who live in this city.

There is a growing need for the integration of environmental management into Human Resource Management (HRM) practices; such effort is known as Green HRM initiatives. The aim of this study is to identify barriers of green human resource management in Iran & apos; s oil industry. For this purpose, mixed method has been used. In the article, existing literature was examined and questions were designed and 12 experts of international oil industry were interviewed. The aim of these interviews was to design questionnaire and collects the necessary information. To examine the reliability of the questionnaires, Cronbach alpha coefficient was equal to 0.732, which validated the reliability of the questionnaire. Finally, the questionnaires were shared among 31 members of oil & apos; s experts and HR managers. The results of the study have shown that the lack of comprehensive plan to implement green HRM and ambiguous of green values were in the highest level and they were considered as the most important barriers. Furthermore, staff resistance had the lowest importance.

Enterprise architecture, with detailed descriptions of the functions of information technology in the organization, tries to reduce the complexity of technology applications resulting in tools with greater efficiency in achieving the objectives of the organization. Enterprise architecture consists of a set of models describing this technology in different components performance as well as various aspects of the applications in any organization. Therefore, information technology development and maintenance management can perform well within organizations. This study aims to suggest a method to identify different types of services in service-oriented architecture analysis step that applies some previous approaches in an integrated form and, based on the principles of software engineering, to provide a simpler and more transparent approach through the expression of analysis details. Advantages and disadvantages of proposals should be evaluated before the implementation and costs allocation. Evaluation methods can better identify strengths and weaknesses of the current situation apart from selecting appropriate model out of several suggestions, and clarify this technology development solution for organizations in the future. We will be able to simulate data and processes flow within the organization by converting the output of the model to colored Petri nets and evaluate and test it by examining various inputs to enterprise architecture before implemented in terms of reliability and response time. A model of application has been studied for the proposed model and the results can describe and design architecture for data.

This research aims to offer a fuzzy approach for calculating Tehran & apos; s air pollution index. The method is based on fuzzy analysis model, and uses the information about air quality index (AQI), included on the website of Tehran’s Air Quality Monitoring And Supervision Bureau. The contrived fuzzy logic is considered a powerful tool for demonstrating the information associated with uncertainty. In the end, several graphs visualize this inferential system in various levels of pollution.