Researcher:
Anvari, Saeedeh

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PhD Student

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Saeedeh

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Anvari

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Anvari, Saeedeh

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2016 - 20172

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Researcher Of Publications: search.filters.isAuthorOfPublication.6f019f2f-fadf-4a0c-8930-686c9d5655ff

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    Automated box-jenkins forecasting tool with an application for passenger demand in urban rail systems
    (Wiley-Hindawi, 2016) Tuna, Selçuk; Çancı, Metin; N/A; Department of Industrial Engineering; Anvari, Saeedeh; Türkay, Metin; PhD Student; Faculty Member; Department of Industrial Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 24956
    Efficient management of public transportation systems is one of the most important requirements in rapidly urbanizing world. Forecasting the demand for transportation is critical in planning and scheduling efficient operations by transportation systems managers. In this paper, a time series forecasting framework based on Box-Jenkins method is developed for public transportation systems. We present a framework that is comprehensive, automated, accurate, and fast. Moreover, it is applicable to any time series forecasting problem regardless of the application sector. It substitutes the human judgment with a combination of statistical tests, simplifies the time-consuming model selection part with enumeration, and it applies a number of comprehensive tests to select an accurate model. We implemented all steps of the proposed framework in MATLAB as a comprehensive forecasting tool. We tested our model on real passenger traffic data from Istanbul Metro. The numerical tests show the proposed framework is very effective and gives higher accuracy than the other models that have been used in many studies in the literature.
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    The facility location problem from the perspective of triple bottom line accounting of sustainability
    (Taylor & Francis Ltd, 2017) N/A; Department of Industrial Engineering; Anvari, Saeedeh; Türkay, Metin; PhD Student; Faculty Member; Department of Industrial Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 24956
    Design of facilities network, allocation of customers to be served from the facilities and their operations have strong economic, environmental and social impacts. Although the decisions in the facility location problem may have varying effects on these impacts, simultaneous consideration of these effects in the early stages of decision-making for facility location selection and network plan has attracted limited attention in the facility location decision literature. Specifically, the social dimension and mathematical modelling are rarely used. In this paper, we present a decision support framework for the facility location problem that incorporates the triple bottom line accounting of sustainability. The framework is a valuable integration of mathematical modelling embedding the criteria with proper measurement indicators in a multi-objective model, perspectives of the related stakeholders, any thresholds and assumption, model analysis, and the decision-maker strategy to find the best-fit alternative. We demonstrate our methodological approach to establish a supply network for digital products in Turkey using real data. The results indicate that the method can balance the economic, environmental and social pillars, based on limitations of the three pillars and strategic perspective of the decision-maker. The decision-maker can interpret the interactions among the three pillars of sustainability and can make his decision by analysing the balance between them.