Sürdürülebilir Kalkınma Amaçları
Yazarlar
Yayınlar
- MakaleAçık Erişim2020Evaluation of waste management using clustering algorithm in megacity Istanbul
Guleryuz, Didem
Industrialization and urbanization are increasing with the effect of globalization worldwide. The waste management problems are rising with the rising population rate, industrialization, and economic developments in the cities, which turned into environmental problems that directly affect human health. This study aims to examine waste management performance in the districts located in the city of Istanbul. To ensure that the districts are clustered in terms of the similarities and differences base on waste management. On this occasion, the authorized unit managers of the districts in the same cluster will be able to establish similar management policies and make joint decisions regarding waste management. In addition, the division of districts into clusters according to the determining indicators can provide information about the locations of waste storage centers. Also, these clusters will form the basis for the optimization constraints required to design appropriate logistics networks. Waste management performance of 39 districts in Istanbul in 2019 was compared by taking into consideration domestic waste, medical waste, population, municipal budget, and mechanical sweeping area. The data were obtained from The Istanbul Metropolitan Municipality (IMM) and Turkey Statistical Institute (TURKSTAT). One of the non-hierarchical clustering methods, the K-means clustering method, was applied using IBM SPSS Modeler data mining software to determine the relations between 39 districts. As a result, the waste management performance of the districts was evaluated according to the statistical data, similarities and differences were revealed by using the determined indicators.
AtıfScopus12OpenAlex11TR Dizin1
İncele - MakaleAçık Erişim2015Scopus SJRQ1Analysis of patent documents with weighted association rules
Altuntas, Serkan; Dereli, Turkay; Kusiak, Andrew
Analysis of relationship among various technologies may result in technology maximizing profits. Weighted association rules are proposed to determine dependencies across technologies. The proposed approach recognizes uneven importance of patents and technology class in terms of their technological impact and commercial significance. The proposed analysis approach is illustrated with a case study.
AtıfScopus46WoS39OpenAlex49
İncele - BildiriAçık Erişim2013Scopus SJRQ2Fuzzy weighted association rule based solution approaches to facility layout problem in cellular manufacturing system
Altuntas, S.; Dereli, T.; Selim, H.
This study aims to propose new solution approaches based on fuzzy weighted association rules for facility layout problem in a cellular manufacturing system. The facility layout problem under concern has two important aspects, namely; fuzzy product route and fuzzy machine weight. Number of machine types as well as the number of machines in each type is determined in order to define a fuzzy product route. A fuzzy set is then assigned for each machine type to match them with appropriate products. Alternative routes for each product and machine weights are defined by fuzzy functions. Market demand is also used to assign weights to the machines. Three solution approaches, namely fuzzy weighted association rule mining (FWARM), Gyenesei's weighted quantitative association rules (WQAR) and normalised weighted association rule mining (NWARM) based approaches, are proposed in this study. To the authors' best knowledge, this is the first attempt which considers fuzzy weighted association rule-based data mining approaches to the facility layout problem. An illustrative example is presented to demonstrate the usefulness of the proposed approaches.
AtıfScopus24OpenAlex16İncele - MakaleAçık Erişim2012Scopus SJRQ1Facility layout using weighted association rule-based data mining algorithms: Evaluation with simulation
Altuntas, Serkan; Selim, Hasan
Facility layout has considerable effects on the operational productivity and efficiency of a facility because of its direct effect on material handling costs. The objective of this study is to propose new weighted association rule-based data mining approaches for facility layout problem. Classic association rule-based approaches assume that each item has the same level of significance. On the other hand, in weighted association rule-based approaches, each item is assigned a weight according to its significance with respect to some user defined criteria. In this study, different weighted association rule-based data mining approaches, namely MINWAL(O), MINWAL(W), WARM and BWARM, are applied to facility layout problem. To confirm the viability of the proposed approaches, two case studies are presented. The approaches are compared in terms of general performance criteria for the facility layout problems using simulation. This is the first study that applies weighted association rule-based data mining approaches to facility layout problem. To address the needs in practice, "demand", "part handling factor" and "efficiency of material handling equipment" are used as the weighting criteria. Then, this study differs from the previous works in that it considers the three key location factors together.
AtıfScopus45WoS28OpenAlex43İncele