International Journal of Industrial Engineering & Production Research

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  The study seeks to address the importance of urban stream ecosystems from the perspective of urban ecology, human health and social well-being in the context of urban planning. The case study area is Paveh stream in the City of Paveh. The data from the case study area were gathered from questionnaire, existing scientific and library studies and by conducting interviews with residents and authorities. Once the importance of the biodiversity of the stream had been studied based on the existing ecological data, the social importance of the stream and the linkages between human health, social well-being and the biodiversity of the stream ecosystem were addressed.

  Based on the results of the survey and other sources of information, it was discussed that urban stream ecosystems can be rich in biodiversity and function as ecological movement corridors for species .Urban stream corridors can thus be an important part of the urban green infrastructure .Also we can make the weather fine, extend green space, prepare peaceful environment for residents and bring the countryside effects of nature into cities through improvement of stream landscape.

Finally, regarding the finding of this study some suggestions and implications are mentioned to improve the quality of the stream.

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In recent years, Supplier evaluation and selection, an important element in supply chain management, has been gaining attention in both academic literature and industrial practice. The Mixed integer multi-Objective non-Linear programming model (MIMONLP) presented in this paper aimed to evaluate and select the appropriate set of suppliers considering quantitative and qualitative criteria and in addition to selecting the first layer's suppliers which relate directly to the organization, analyses the characteristics of second-layers suppliers, and design a network to determine the flow rate of products and materials between buyers and best suppliers in both layers. Another important feature of this model is considering holding costs of different products over the planning horizon and quantity discounts for the first layer's suppliers at the same time. Finally, the model is solved by using goal programming approach and numerical examples are presented to test the performance of proposed model.

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Efficiency and effectiveness of the organization is result ofmanagement performance and supply chain structure.Today, several factors in selection the supplier or the best combination of suppliers have been identified that this issue would increase the complexity of suplier selecting.This study investigates the application of Fuzzy Delphi in order to identify the important factors in selecting a supplier in the steel industry and then provide a comprehensive and holistic model of supplier selection to overcome the complexity.In this context, Interpretive Structural Modeling (ISM) unlike other methods, the holistic, dealing with supplier selection to prioritize components-surfacing and identifying key components, so industry leaders will provide comperhensive map to select the best combination based on their.The results of this study indicate that "technically possible", "financial health" and "geography situation" are the basic components to the selection of suppliers.

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Brand loyalty is driven by share, comments, online review, like, and dislike on the social media platform of specific brands. The study empirically assessed with the influence of the dimensions of brand's personality as a moderator on SMBC and brand loyalty among customers’ popular fashion brands. The Aaker Brand Personality Scale used to measure the personality of fashion brands. Online brand personality can exist in the same way as offline brands. This means that social media has brand personalities, and these can influence consumer perceptions in different ways. This research utilized a quantitative approach in which questionnaires was distributed to SMBC users as the research population. The research was performed Structural Equation Modeling using IBM SPSS Statistics 23 software and Smart PLS 3.2.9 to analyze the data. The findings were help brands to make marketing plans to influence any type of unsatisfactory situations.