Yazar "Mic, Pinar" seçeneğine göre listele

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    Öğe
    A Decision-Making Model Based on TOPSIS, WASPAS, and MULTIMOORA Methods for University Location Selection Problem
    (Sage Publications Inc, 2021) Mic, Pinar; Antmen, Z. Figen
    With the growing population increase and following young population's desire to study at the university, political authorities are supporting university and higher education investments, especially in the last 10 years. This situation has increased the number of universities considerably. Because a university will provide socioeconomic dynamism to both the development of the country and the region, choosing the right university location has become a significant problem nowadays. In line with this, this study is focused on supporting the new university location decision in a wide region in Turkey where currently the number of universities in the region is relatively low despite the high population density in the area. Alternative cities to be utilized in the study are determined particularly taking the demographic structure into consideration and various multicriteria decision-making (MCDM) techniques are applied. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Weighted Aggregated Sum Product Assessment (WASPAS), and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) are applied to a real case study. Related criteria and alternative locations are specified by consulting seven experts. Within the study, both the results of these methods are presented, and also sensitivity analyses are conducted to observe how sensitive the results are to the changes in the criteria weights. The results obtained are purposed to aid decision makers in this field.
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    Öğe
    AN INTEGRATED FUZZY MULTI CRITERIA DECISION MAKING METHOD FOR SUSTAINABLE (GREEN) PACKAGING MATERIALS SELECTION: AN APPLICATION IN TURKEY
    (Parlar Scientific Publications (P S P), 2020) Gulsun, Bahadir; Mic, Pinar
    The packaging protects the products from external factors and often represents the product. To a decision-maker with inadequate knowledge about the structure and properties of a packaging material, it may be difficult to determine the most applicable one for a given product. In some cases, the defect levels can be so high that the choice of packaging material and other related units can make a product difficult to sell. This may leave the material's selector in a problematic situation. Although packages are mandated to protect the goods inside them, they also need to be easy to store and transport, while being attractive for the consumer market. To be sustainable, packaging waste must be kept at a minimum and should not require any additional cost to be destroyed. To mitigate this, recyclable material should also be evaluated during its construction phase. Considering these significant points, a method to select materials for sustainable packaging is proposed in this paper. In this approach, an integrated DELPHI and fuzzy-Preference Ranking Optimization Method for Enrichment Evaluations approach is employed. Numerical examples are specified in the paper to stimulate an improved understanding of the methodology used, and the experimental results are evaluated through a sensitivity analysis.
  • [ X ]
    Öğe
    Comparative solution approach with quadratic and genetic programming to multi-objective healthcare facility location problem
    (Yildiz Technical Univ, 2022) Gulsun, Bahadir; Mic, Pinar; Edali, Mert
    Facility layout planning is an indispensable part of the manufacturing and service operations. In the literature, there are two main different approaches for the solution of facility layout problem: While the first one aims to minimize both total transportation and assignment costs in a quantitative way, the second one aims to maximize the closeness relationship in a more qualitative way. In this study, we use both of these approaches to model a multi-objective facility layout optimization problem depending on a Quadratic Assignment Problem (QAP) formulation. We consider three objective which are minimizing the total walking distance, and the maximization of area satisfaction level and closeness relationships. Since these objectives have different scales, we normalize them to prevent a potential domination effect. Then, we solve the problem using Quadratic Assignment Problem (QAP) formulation and a genetic algorithm approach and compare the results. These approaches provide non-dominated solutions to multi-objective problem being considered. In this way, we assign the departments of a healthcare facility to predetermined areas. In addition, our formulation enables the planners to prevent patient losses and increase the patient satisfaction.