Browsing by Author "Baysal, M.E."

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An Application for Selecting and Evaluating Organization Based Kpis With Fuzzy Mcdm in a Large-Scale Organization Operating in the It Sector
(Springer Science and Business Media Deutschland GmbH, 2023) Yel, İ.; Baysal, M.E.; Sarucan, A.
In today's world, where many people use the outputs of the Information Technologies (IT) industry, it has become a problem for large-scale organizations to compare their IT departments objectively. The use of fuzzy MCDM methods for such a multidimensional problem is evaluated within the scope of this study. As a first step, twenty KPIs were determined by literature review and expert opinion to evaluate organizational units. Subsequently, KPI selection criteria were defined based on the opinions of ten expert personnel working in Architecht Information Systems for the selection of the most appropriate KPIs. These criteria are weighted by the fuzzy AHP method. Eight of the KPIs over the Neutrosophic Z Number (NZN) sets were selected for comparison by the same experts. Four different organizations were ranked by scoring over eight KPIs. It has been confirmed that the results of objective evaluations, instead of subjective evaluations, are more embraced by employees and managers, according to the outputs of the common sense and the infrastructural suitability of the institution. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Citation - Scopus: 4
An Application of Fuzzy Ahp, Edas and Waspas for the Selection of Process Method in Software Projects
(Springer Science and Business Media Deutschland GmbH, 2022) Yel, İ.; Sarucan, Ahmet; Baysal, M.E.
In software development projects, the complexity of the tasks to be completed and the fact that the resources are real people, unlike in the manufacturing sector, are important factors that pose challenges to project management. In addition, operational reasons such as time-dependent changes in software requirements also complicate the management of projects. During the execution of the projects, in addition to the internal dynamics of the project, the organizational characteristics of the participants and the competencies of the team also influence the success of the project. In this context, various software development process methodologies are used for change management, including “Agile and Waterfall Methods”. The aim is to select projects based on technical and managerial criteria by considering the skills of the development teams that actively participate in the project. In the study, the weights of the criteria are determined using fuzzy AHP. Then, Fuzzy EDAS and WASPAS methods are used for ranking the projects and the information technology teams. The statistical information about the errors after software development was obtained as a result of the process management decision made. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
An Application With Fuzzy Ahp for Making the Assignment Aimed at the Holistic Benefit Over the Person Evaluation as Required by the Requirements and Evaluations of Individuals
(Springer Science and Business Media Deutschland GmbH, 2023) Yel, İ.; Şahin, H.; Baysal, M.E.; Sarucan, A.
It is assumed that the success rates of information technology (IT) projects will increase with the management of development packages called Most Valuable Product (MVP). This is considered to be a real requirement. Based on this assumption, this study identified different criteria based on the requirements or MVPs to be developed in an organization. The criteria are differentiated for analyst and software developer positions. The level of each criterion was defined by the experts for the development of MVPs. The same criteria were used to evaluate both analyst and software developer positions. After evaluating the MVPs and determining the levels of the individuals, the weights of the criteria were determined using fuzzy AHP to determine the desired level and the levels of the individuals. The minimization problem of which person should be assigned to which MVP package over the weights was solved using the Excel solver. The sums were performed. The result is a balanced distribution of multiple MVP packages within a unit; with the goal of assigning MVP packages to the positions that can best improve themselves and increase overall benefit. Evaluation of employee competencies and needs definitions of projects with fuzzy MCDM method constitutes an important contribution of this study. Under the guidance of the evaluations, erroneous assignments that would lead the project to failure were avoided and more competent people were appointed for more critical requirements. Thus, the potentials of competent persons were utilized at the highest level. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Citation - Scopus: 4
Artificial Bee Colony Algorithm for Solving Multi-Objective Distributed Fuzzy Permutation Flow Shop Problem [2]
(IOS Press BV, 2021) Baysal, M.E.; Sarucan, A.; Büyüközkan, K.; Engin, O.
The distributed permutation flow shop scheduling (DPFSS) is a permutation flow shop scheduling problem including the multi-factory environment. The processing times of the jobs in a real life scheduling problem cannot be precisely know because of the human factor. In this study, the process times and due dates of the jobs are considered triangular and trapezoidal fuzzy numbers for DPFSS environment. An artificial bee colony (ABC) algorithm is developed to solve the multi-objective distributed fuzzy permutation flow shop (DFPFS) problem. First, the proposed ABC algorithm is calibrated with the well-known DPFSS instances in the literature. Then, the DPFSS instances are fuzzified and solved with the algorithm. According to the results, the proposed ABC algorithm performs well to solve the DFPFS problems. © 2022 - IOS Press. All rights reserved.
Citation - Scopus: 1
Evaluation of Mechanical Energy Storage Technologies in the Context of a Fuzzy Environment
(Springer Science and Business Media Deutschland GmbH, 2023) Sarucan, A.; Baysal, M.E.; Engin, O.
Clean energy sources are becoming increasingly important as traditional energy sources are rapidly depleted around the world. The energy produced must be stored to make this orientation more meaningful. One of the very different storage technologies used is mechanical energy storage. Mechanical energy makes up a large percentage of the energy storage capacity in the world. Keeping track of current mechanical energy storage technology developments is a key task for policymakers. From this point of view, it is necessary to have an evaluation of different mechanical energy storage techniques under certain criteria and in consideration of the opinions of decision makers. Therefore, a fuzzy multi-criteria decision-making model is proposed. In the case study, 3 different mechanical energy storage techniques, pumped hydro, compressed air, and flywheel energy storage alternatives were evaluated with the fuzzy grey relation analysis for common criteria, power capacity, lifetime, energy density, efficiency, response time of these alternatives. Growing use of energy storage in every aspect of life, from electric vehicles to mobile applications, from smart buildings to cities, makes these studies relevant. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Machine Learning Prediction of Wind Turbine Energy Production
(Springer Science and Business Media Deutschland GmbH, 2023) Erdem, O.E.; Sarucan, A.; Baysal, M.E.
This study used statistical data to create predictive models for effective and efficient use of energy generation systems using machine learning algorithms. Four different models predicted wind energy production and compared with actual production data. Model validity and verification were evaluated using mean square error, mean absolute error, and R-squared values. The model constructed with the random forest method is the most successful model. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Citation - WoS: 6
Citation - Scopus: 9
A New Approach To Developing Software Projects by Assigning Teams To Projects With Interval-Valued Neutrosophic Z Numbers
(Elsevier Ltd, 2023) Yel, İ.; Baysal, M.E.; Sarucan, A.
Software development projects are becoming increasingly important to achieve successful results in the global digitalization trend that has spread throughout the world at the time of the pandemic. The main software development methodologies (SDM) are waterfall and agile. This study investigates the achievement of success methodology through the evaluation of software development projects, personnel under the scope of SDM's. Software projects require strong human resources to be successful in terms of on-time completion and success. For software projects that include the human component, it is important to make project team SDM assignments more meaningful and accurate. The power of linguistic variables and the use of expert ratings in such assignments have been the focus of this paper. The reason for the strong representativeness is the conversion of linguistic variables to mathematical fuzzification, Interval Valued Neutrosophic Z-Numbers (NZN) are used to determine which SDM should be used first in projects. The results of the NZN are then incorporated into the NZN-Area model. This replaces the distance measurement equation used to rank alternatives with an area calculation. The NZN-Area Model is the new proposed form of the model. The NZN-Area model produced 22% better results in terms of defect numbers and 25% better results in terms of defect resolution time compared to the NZN method. Additionally, a sensitivity analysis was performed by comparing the NZN method and NZN-Area method with real data. The proposed NZN-Area method was found to be more consistent under variable conditions. © 2023 Elsevier Ltd