An appropriate supply chain design helps survival in competitive markets. Achieving maximum efficiency may also help decision makers have a better selection for the supply chain network. The purpose of this paper is to design an efficient supply chain model in terms of the distribution channels under uncertain conditions. The proposed study produces multi products using different materials by considering four layers of multiple suppliers, producers, storages and customers. There are two objectives of maximizing efficiency of distributers and minimizing total cost of supply chain management. The proposed model locates producers as well as suppliers and determines the amount of orders from different suppliers. In order to measure the relative efficiency, the study uses the method developed by Klimberg and Ratick (2008) [Klimberg, R. K., & Ratick, S. J. (2008). Modeling data envelopment analysis (DEA) efficient location/allocation decisions. Computers & Operations Research, 35(2), 457-474.]. In addition, to handle the uncertainty, the study uses the robust optimization technique developed by Molvey and Ruszczy?ski (1995) [Mulvey, J. M., & Ruszczy?ski, A. (1995). A new scenario decomposition method for large-scale stochastic optimization. Operations research, 43(3), 477-490.]. The preliminary results indicate that the proposed model is capable of providing efficient solutions under various uncertain conditions.

This article provides a method of acoustic emission (AE) technique to detect leakage in pipeline and locate the position of the leakage. The AE sensor is made of piezoelectric effect transducer to pick up the acoustic emission signal which is generated from the turbulent flow at the leak position. The signal conditioning unit is used to enhanced and eliminate the background noise from the leak location sources. The main acoustic emission processing unit is used to acquire and process the extracted AE characteristic parameters from preprocessing waveform. The leak pipeline is simulated by drilling the hole and plugged with M8 screw at different locations. The results show that the proposed AE method can detect and locate simultaneous leak condition in pipeline with promising results.

Export is the backbone of business development in any industry and it plays essential role on the success of organizations. The objective of this study is to determine factors influencing on food industry for development of export activities. The study designs a questionnaire in Likert scale and distributes it among 247 randomly selected experts who were active in production of foods in city of Tehran, Iran. Using principle component analysis based on varimax rotation, the study detects six factors including social opportunities, international opportunities, customer orientation, business opportunities, new technologies, organizational capabilities, commercialization of ideas on the development of export markets.

This paper presents an empirical investigation to detect major barriers on developing nano technology in Islamic Azad University. The proposed study selects south Tehran branch as a pilot study, designs a questionnaire and distributes it among all 80 employees who work for this university. Cronbach alpha is calculated as 0.93, which is well above the minimum acceptable level. The study has executed the study in five different areas including financial resources, physical equipment, training and empowering human resources, organizational culture and outside organizational factors. The study has determined that physical equipment is number one priority followed by financial resources and training as well as empowering employees.

The real-time scheduling of automatic guided vehicles (AGVs) in flexible manufacturing system (FMS) is observed to be highly critical and complex due to the dynamic variations of production requirements such as an imbalance of AGVs loading, the high travel time of AGVs, variation in jobs, and AGV routes to name a few. The output from FMS considerably depends on the effi-cient scheduling of AGVs in the FMS. The multi-objective scheduling decisions for AGVs by nature inspired algorithms yield a considerable reduction throughput time in the FMS. In this paper, investigations are carried out for the multi-objective scheduling of AGVs to simultaneously balance the workload of AGVs and to minimize the travel time of AGVs in the FMS. The multi-objective scheduling is carried out by the application of nature-inspired grey wolf optimization algorithm (GWO) to yield a balanced workload for AGVs and also to minimize the travel time of AGVs simultaneously in the FMS. The output yield of the GWO algorithm is compared with the results of benchmark problems from the literature. The resulting yield of the proposed algorithm for the multi-objective scheduling of AGVs is observed to outperform the existing algorithms for scheduling of AGVs.

Dividend is the part of profits of a company, which is distributable among its shareholders according to the decision taken and resolution passed in the meeting of Board of Directors. Dividend policy plays an important role for maintaining good image of company in the capital market and in providing source of low cost finance for financing for the profitable future investment proposals. In the present study, an attempt has been made to evaluate the dividend policy adopted by some selected public and private sector banks in India during the period of study March 2006 to March 2015.

The title compound - (Z)-1-bromo-1-nitro-2-phenylethene - was prepared by a three-step reaction. Its structure was con?rmed by spectral analysis as well as X-ray crystallography. It was found, that the compound crystallized in the orthorhombic system, space group Pbca, a=11.5296(6)Å, b=7.5013(5)Å, c=19.7187(12)Å, Å=B=Å=90°, Z=8.

This paper presents a study on the effect of organizational justice on organizational citizenship and organizational commitment in Iran. The proposed study designs a questionnaire and distributes it among some employees of Islamic Azad University and, using structural equation modeling, we investigate the effect of organizational justice on organizational citizenship as well as organizational commitment. The study selects 142 people from 255 regular employees who work for the university and distributes the questionnaire designed in Likert scale. Cronbach alphas have been determined for organizational citizenship, organizational justice and commitment as 0.924, 0.94 and 0.73, which are well above the minimum acceptable level. The results indicate that procedural justice has the most effect on organizational commitment followed by interactive justice and distributive justice. In addition, obedience has the most influential effect followed by loyalty, partnership, innovation and behavior. Finally, the survey shows that organizational citizenship is influenced mostly by loyalty and partnership. In summary, the effect of organizational justice on organizational citizenship and organizational commitment has been confirmed.

This research paper aims to explore the relationship between water pollution and sustainable development. Water pollution is a significant environmental challenge that threatens the sustainability of ecosystems, human health, and economic development. Sustainable development aims to meet the needs of the present generation without compromising the ability of future generations to meet their own needs. The research methodology involves a comprehensive review of relevant literature on water pollution and sustainable development, including empirical studies, theoretical frameworks, and policy documents. The research will explore the impact of water pollution on sustainable development, the drivers of water pollution, and the policy and regulatory frameworks that promote sustainable water management. The findings of this research paper will contribute to a deeper understanding of the complex relationship between water pollution and sustainable development and provide insights into effective strategies and policies that can promote sustainable water management. The research will also highlight the importance of public awareness and education in promoting sustainable practices and behaviors that can help to prevent and mitigate water pollution. This research paper will provide valuable insights into achieving sustainable water management practices that promote environmental sustainability and socio-economic development.

Organizational performance is influenced by several factors including electronic services. In fact, electronic services play essential role on the performance of organizations with significant number of clients. The objective of this study is to determine factors influencing on intention to use electronic services on organizational performance in social service organization in Iran. The study designs a questionnaire in Likert scale and distributes it among 231 randomly selected employees who worked for social security organization in city of Tehran, Iran. Using principle component analysis using varimax rotation, the study determines six factors including culture, communication, customer, employee engagement, learning organization, service management, and usefulness of application, which influence the most on organizational performance.