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In the healthcare sector, undisrupted service is essential for hospitals. Therefore, shift work plays a vital role in satisfying constraints such as coverage requirements and government regulations. Due to its complexity and scale, the doctor rostering problem is classified as an NP-hard problem. In addition to the fairness of assignments, including hospital management policies and government regulations, many related factors must be considered during the scheduling process for this scheduling problem. This study aims to generate a rostering system that can satisfy the requirements of the hospital, ensure fairness amongst the doctors, and take preferences into account. A genetic algorithm based on a weighted goal programming model was proposed to solve the doctor rostering problem. The proposed model was applied to the Internal Diseases Department and the Lateral Branches Department of a training and research hospital in Turkey. Fifteen different scenarios were constructed, considering different problem scales and different preference patterns of the doctors that may occur in the future. It is approved that the proposed algorithm can be applied to different problem scales and conditions. The parameters of the proposed algorithm were calibrated using an experimental design method. In this study, two main contributions were presented. A model with new constraints was introduced for researchers. In addition, a genetic algorithm based on weighted goal programming was proposed to solve the problem and applied to a real-world case study. [ABSTRACT FROM AUTHOR]

Software development projects are difficult to manage, as they involve complex business stages and the resources used are made up of real people. Along with the specifications of the projects, organizational variables and the competencies of the team members are among the factors that will directly affect the success of the project. It is thought that the success of software development projects will increase with the use of these three factors in the solution of the software development process method selection problem. In the management of software projects, different process methods are used, including "Agile and Waterfall (Traditional) Methods". It is important to assign development teams to projects according to their abilities and to rank the projects among themselves. As a first step in this study, the weights of the criteria were determined using the fuzzy AHP. Then fuzzy WASPAS, fuzzy EDAS and Interval Neutrosophic Z Numbers (NZN) methods were used to rank projects and employees. According to the results of this research with sensitivity analysis, it has been determined that if the software development method decision is implemented, the number of defects and their solutions can be improved by 4.2%-6%, 5.8%-7.3% and 6.8%-9.7% when compared to the actual values of person-day values. [ABSTRACT FROM AUTHOR]

Housing production has increased rapidly, with the rapid increase of the world population and industrialization. Designing houses, which are produced in large numbers and intensively, by ignoring the characteristics of the climatic region is effective in the increase of energy and environmental problems. The climatic design, which is made by considering the climatic characteristics of the inhabited region, aims to design the buildings climate responsive and energy efficient. The parameters that are effective in climatic design are mainly; climatic conditions related to the external environment and parameters related to the built environment such as location, orientation, building form, space organization, building envelope (facade), natural ventilation, natural lighting, solar control. Considering that design parameters related to the built environment may have limiting effects on climatic design, the design process becomes an iterative process in which many criteria are observed. In order to choose between these criteria, support systems are needed to identify alternatives and analyze them simultaneously. Most of the energy consumed in houses is through the façades, which is an important design parameter as it separates the interior and exterior environment from each other. In this study, it is aimed to carry out the sensitivity analysis stage in order to create a decision support system model that can produce optimum facade design solutions in order to reduce energy consumption. [ABSTRACT FROM AUTHOR]

Web sites constitute the interface where e-businesses interact with their customers. Therefore, the quality of company web sites is instrumental for customer satisfaction. This paper proposes a solution to the problem of quality performance evaluation for web sites in the logistics industry. There exists no standard, widely accepted structure for analyzing the quality and performance of corporate web pages. On the other hand, a standardized evaluation method can help quickly compare and identify successfull web sites. For this purpose, an integrated approach based on Multi Criteria Decision Making (MCDM) and fuzzy logic is introduced in this paper, which aims to more effectively assess the quality of logictics firms' web sites. In the first part, web site evaluation criteria and their hierarchy are determined based on a detailed literature review and expert opinions. In the second part, the weights of the evaluation criteria are calculated with the fuzzy logic application of Analytical Hierarchy Process (AHP), an MCDM technique. In the final part, the web sites of the top 15 logictics companies in Turkey are ranked in decreasing quality, using fuzzy TOPSIS method. Furthermore, in order to assess how far the criteria weights have an impact on the ranking of the web sites, a sensitivity analysis is carried out. This study can be useful to researchers to better understand web site evaluation problemtheoretically, as well as to organizations in designing better satisfying web sites. [ABSTRACT FROM AUTHOR]