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AKTİN, AYŞE TÜLİN

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AKTİN

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AYŞE TÜLİN

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2007 - 200912010 - 20161
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Subject: Performance

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    The Modified Fuzzy Art and a Two-Stage Clustering Approach to Cell Design
    (ELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA, 2007-12-01) Özdemir, Rifat Gürcan; Gençyılmaz, Güneş; AKTİN, AYŞE TÜLİN; TR141173; TR30141; TR109203
    This study presents a new pattern recognition neural network for clustering problems, and illustrates its use for machine cell design in group technology. The proposed algorithm involves modifications of the learning procedure and resonance test of the Fuzzy ART neural network. These modifications enable the neural network to process integer values rather than binary valued inputs or the values in the interval [0, 1], and improve the clustering performance of the neural network. A two-stage clustering approach is also developed in order to obtain an informative and intelligent decision for the problem of designing a machine cell. At the first stage, we identify the part families with very similar parts (i.e., high similarity exists in their processing requirements), and the resultant part families are input to the second stage, which forms the groups of machines. Experimental studies show that the proposed approach leads to better results in comparison with those produced by the Fuzzy ART and other similar neural network classifiers. (C) 2007 Elsevier Inc. All rights reserved.
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    Mathematical modelling of sustainable procurement strategies: three case studies
    (Journal of Cleaner Production, 2016-02-01) Gergin, Zeynep; AKTİN, AYŞE TÜLİN; 109203; 141772
    Sustainable procurement is the process of meeting the needs of an organisation with the most beneficial monetary value, while mitigating the diverse effects of its operations on society and environment. There are studies which adopt environmental criteria to procurement decisions, whereas, works integrating the three dimensions and discussing the trade-offs between them are scarce. In this paper, the three dimensions of corporate sustainability; environmental economical social, are integrated into supplier selection and demand allocation decisions. With their integrated approach, the proposed mathematical models aim to contribute to the relevant literature by analysing different sustainable procurement strategies. Initially a questionnaire is introduced for measuring the sustainability scores of a company's potential suppliers, and these scores are then used as an input to the models. The developed mixed integer linear programming models distribute demand to the most sustainable firms in the supplier pool of the company, while ensuring minimum procurement cost for the identified strategy. The questionnaire and models are implemented in three companies to interpret the outcomes of different sustainability strategies on the procurement decisions. Selection of the most appropriate strategy is a managerial decision influenced by the varying dynamics of the company and the market conditions. These models demonstrate an easy and practical approach in assisting sustainable procurement. Results are promising in displaying the trade-offs between the sustainability dimensions of different strategies with alternating procurement costs, and can aid the managers to integrate environmental, economical, and social aspects into their supply chain operations. (C) 2015 Elsevier Ltd. All rights reserved.