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Öğe Unequal Area Facility Layout Planning with Virtual Departments(Springer Nature, 2023) Gülşen, Mehmet; Göksal, Fatma PınarThis study proposes a solution approach to the layout problem in facilities with unequal department areas. To organize the layout, a flexible bay structure (FBS) is used as the basis. The FBS is commonly used in the design of production and retail facilities in which, departments are positioned in horizontal bays. Each bay typically includes multiple departments of varying lengths. The proposed approach starts with a randomly generated initial layout. To create the initial layout, the facility block is first divided into horizontal bays. Then, departments are randomly assigned to those bays. The assignment order determines the position of each department within a bay. By using the initial layout as a reference, alternative layouts are generated by two-way exchanges of departments. Relying solely on department swaps limits the variety in alternative generation (e.g., the number of departments in bays remains constant). To overcome this hurdle, we introduce virtual departments with zero areas. Introducing virtual departments enhances the search process by increasing the number and variety of possible solutions. A performance comparison with the standard two-way exchange algorithm on two test cases shows the superiority of the proposed approach.Öğe Distributed no-wait flow shop with fuzzy environment(Springer Science and Business Media Deutschland GmbH, 2022) Başar, Ramazan; Büyüközkan, Kadir; Engin, OrhanIn the no-wait flow shop scheduling problem, n-job should be proceeded on m-machine with the same order and do not permit the jobs to wait during the scheduling periods. Also, at the distributed no-wait flow shop scheduling problem, there are multi-factory for processing n-job with m-machine for no-wait constraint. In this study, distributed no-wit flow shop scheduling with the fuzzy due date is considered. The due date of the jobs is defined with fuzzy numbers. A parallel kangaroo algorithm is proposed to solve the distributed no-wait flow shop scheduling problem with the fuzzy due date. The proposed algorithm is tested from the literature by the benchmark problems. The results show that the proposed parallel kangaroo algorithm is efficient for distributed no-wit flow shop scheduling problems with fuzzy due date problems.Öğe A no-wait flow shop scheduling problem with setup time in fuzzy environment(Springer Science and Business Media Deutschland GmbH, 2022) Başar, Ramazan; Engin, O.The no-wait scheduling problem is a subclass of the flow shop. In a no-wait flow shop scheduling (NWFSS), jobs are not allowed to wait between consecutive machines. There is a continuous flow in the scheduling environment for jobs. In this research, a no-wait flow shop scheduling problem with setup times is considered in a fuzzy environment. The manufacturer cannot finish all jobs in order time due to the limitation of manufacturing capacity. Thus, the due dates of the jobs are considered as a fuzzy number. An improvement scatter search algorithm is used first to solve the NWFSS problem with a setup time to maximizing the satisfaction index objective. First, the proposed algorithm is tested on the benchmark NWFSS problems in the literature. Then, a benchmark NWFSS with setup times problem is solved by the proposed improvement scatter search algorithm(SSA) for fuzzy due dates. The results show that the proposed improvement scatter search algorithm is an efficient solution method for the NWFSS problem in a fuzzy environment.Öğe Detecting adverse events in an active theater of war using advanced computational intelligence techniques(Sprınger Internatıonal Publıshıng Ag, 2019) Zurada, Jozef; Shi, Donghui; Karwowski, Waldemar; Guan, Jian; Çakıt, Erman; Aliev, RA; Kacprzyk, J; Pedrycz, W; Jamshidi, M; Sadikoglu, FMThis study investigates the effectiveness of advanced computational intelligence techniques in detecting adverse events in Afghanistan. The study first applies feature reduction techniques to identify significant variables. Then it uses five cost-sensitive classification methods. Finally, the study reports the resulting classification accuracy rates and areas under the receiver operating characteristics charts for adverse events for each method for the entire country and its seven regions. It appears that when analysis is performed for the entire country, there is little correlation between adverse events and project types and the number of projects. However, the same type of analysis performed for each of its seven regions shows a connection between adverse events and the infrastructure budget and the number of projects allocated for the specific regions and times. Among the five classifiers, the C4.5 decision tree and k-nearest neighbor seem to be the best in terms of global performance.Öğe Understanding the social and economic factors affecting adverse events in an active theater of war: A neural network approach(Springer, 2018) Çakıt, Erman; Karwowski, Waldemar; Hoffman, MThis study focused on the application of artificial neural networks (ANNs) to model the effect of infrastructure development projects on terrorism security events in Afghanistan. The dataset include adverse events and infrastructure aid activity in Afghanistan from 2001 to 2010. Several ANN models were generated and investigated for Afghanistan and its seven regions. In addition to a soft-computing approach, a multiple linear regression (MLR) analysis was also performed to evaluate whether or not the ANN approach showed superior predictive performance compared to a classical statistical approach. According to the performance comparison, the developed ANN model provided better prediction accuracy with respect to the MLR approach. The results obtained from this analysis demonstrate that ANNs can predict the occurrence of adverse events according to economic infrastructure aid activity data.Öğe Power plant planning in Turkey: An evaluation with integer fuzzy weighted goal programming model(World Scientific Publucation, 2016) Çetin, Nazlı Ceren; Baysal, Mehmet Emin; Zeng, X; Lu, J; Kerre, EE; Martinez, L; Koehl, LThis paper is about rapidly increasing usage of renewable and sustainable energy investment projects in Turkey these days. On account of having both monetary and harmful effects on the environment, the energy produced by fossil fuels needs to be determined how complex its sources, location and type will be. Because sustainability of such investments may reveal some problems when considered it is thought about current technological advances. The usage of integrated multi-objective decision making approaches is much more appropriate to overcome such problems. The seven energy sources in Turkey are considered in accordance with existing statistics and 2023 projections. The deviations from goals has been measured by an integer fuzzy weighted goal programming model.Öğe Energy investment planning in turkey: An evaluation with fuzzy analytical hierarchy process(World Scientific Publishing Co. Pte Ltd, 2016) Baysal, Mehmet Emin; Çetin, Nazlı CerenIn this paper, renewable and sustainable energy investment projects in Turkey have been discussed. Seven types of different energy resources have been evaluated according to experts’ linguistic evaluations. Triangular fuzzy numbers were used to represent these evaluations. Then, ranked positions of each resource were obtained by Fuzzy Analytical Hierarchy Process. © 2016 by World Scientific Publishing Co. Pte. Ltd.Öğe Understanding patterns of infrastructure development in the active war theater of Afghanistan over the period 2002-2010(ELSEVIER SCIENCE BV, 2015) Çakıt, Erman; Karwowski, Waldemar; Ahram, T; Karwowski, W; Schmorrow, DThis study aims to review economic development throughout the war in Afghanistan by representing the total number of economic improvement projects and their respective total budgets within the active war theater of Afghanistan, over the period of 2002-2010. Data used for this study includes eleven infrastructure development projects that took place between 2002 and 2010 in Afghanistan. The total number of economic improvement projects, as well as the total budget of those projects, have been used for understanding patterns of infrastructure development in Afghanistan. The country was divided into seven regions for pattern analysis, where each region consists of various numbers of provinces, districts, and records. Based on the results obtained, it was concluded that the total number of economic improvement projects were at their lowest in 2002 and at their highest in 2007. When the regions were compared, the central region had the highest number of economic improvement projects, whereas the south-western region had the lowest number of economic improvement projects. Project-type analyses revealed that water supply and sanitation projects were most numerous, while agriculture projects were least numerous. Considering the total budget of economic improvement projects, the north-eastern region had the highest total budget ($177.5 million) and the south-eastern region had the lowest total budget ($95.6 million). The combined total budget of transport-type projects had the highest total value ($366.2 million) amongst project types, while agriculture projects had the lowest combined total budget ($2.6 million). Understanding these patterns may provide useful information about strategies and tactics to be employed for similar scenarios in an active war theater in the future. (Öğe Assessing the relationship between hand dimensions and manual dexterity performance for Turkish dental students(Springer Int Publishing Ag, 2016) Çakıt, Erman; Durgun, Behice; Çetik, Oya; Goonetilleke, R; Karwowski, WThe objectives of this study included: (i) a determination of whether there is a difference in manual dexterity as a function of gender and dentistry curriculum and (ii) an assessment of hand anthropometric characteristics on manual dexterity test performance. In total, 155 dental students (86 males and 69 females) in their first, second, third, fourth, and fifth years of a five-year undergraduate program took part in the study that involved a simple manual dexterity test. We used a paired sample t-test to compare differences between males and females and among students of different years. Pearson's correlation coefficients were computed as a measure of association between parameters. The results demonstrate that anthropometric data of both hands have small but significant effects on test performance, and that small hands are associated with better test performance.
