Alev Taskin | Yildiz Technical University (original) (raw)

Papers by Alev Taskin

CRC Press eBooks, Oct 27, 2022

Environmental Science and Pollution Research

Multi-Criteria Decision Analysis

Socio-Economic Planning Sciences

Neural Computing and Applications, Apr 26, 2022

A manufacturing supply chain is a network of suppliers, factories, subcontractors, warehouses, di... more A manufacturing supply chain is a network of suppliers, factories, subcontractors, warehouses, distribution centers and retailers, through which raw materials are acquired, transformed, produced and delivered to the end customers. Many methods have been suggested over the years for supply chain evaluation of any organization. This study discusses the supply chain performance criteria for efficient supply chain performance evaluation in chemical industry on the basis of Balanced Scorecard's (BSC) four perspectives: finance, customer, internal business process, and learning and growth. The balanced scorecard developed in this paper provides a useful guidance in evaluation and measuring of SCM in a balanced way.

As the technology improves and widens, the companies change. Especially to be competitive in the ... more As the technology improves and widens, the companies change. Especially to be competitive in the market, the companies should renew themselves. In past, managers thought that if they had produced something they could sell it in the market, but now this is impossible. There are too many rivals in the market. For this reason, companies should control their inventories and they should arrange their supply chain mangement activities according to their inventories. Also companies should force their suppliers to deliver in time, at the highest quality and in minimum price. In such a competitive market, the customers should be satisfied and inventories should be effectively managed. So, inventory management and optimization is very important in supply chain management. Supply chain inventory management (SCIM) is an integrated approach for planning and control of inventory, throughout the entire network of cooperating organizations from the source of supply to the end user. SCIM is focused ...

Journal of Air Transport Management, 2022

Measuring customer satisfaction in service businesses is very important in terms of both increasi... more Measuring customer satisfaction in service businesses is very important in terms of both increasing service quality and meeting customer expectations. Up-to-date and comprehensive quality of service measurement techniques provide important information to the companies about the way customers perceive the quality and their service quality expectations. It is critical to measure the service quality for airline transportation, which is becoming more popular compared to other types of transportation and therefore increasing competition. In order to compete in the market and improve their service quality, companies should know their customers well and make improvements by analysing their expectations correctly. In this context, the SERVQUAL method is one of the frequently preferred and effective tools in service quality measurement. However, it is not possible to deal with the effects of radical changes such as the development and transformations of technology, events and trends under the influence of the world with the conventional SERVQUAL method. For this purpose, the traditional method consisting of five dimensions has been extended to nine dimensions by adding four more dimensions, namely Environment, Pandemic, Digital Technology and Information Systems. While it is possible to perform a more detailed service quality measurement with the proposed method, companies are provided with an effective and up-to-date tool to determine which dimensions are more important. In this study after structuring main dimensions and its inner levels hierarchically, Modified Delphi method is applied to a group of experts and the main criteria are evaluated with Best Worst Method and sub-criteria are evaluated with Interval-Valued Neutrosophic AHP method. After subjecting the criteria, whose importance are determined, to sensitivity analysis, the results obtained are evaluated in terms of airline transportation and recommendations are presented. In addition to the extended approach it proposes, this study is the most detailed research on airline service quality as far as we know.

Computers in Biology and Medicine, 2021

This study introduces a forecasting model to help design an effective blood supply chain mechanis... more This study introduces a forecasting model to help design an effective blood supply chain mechanism for tackling the COVID-19 pandemic. In doing so, first, the number of people recovered from COVID-19 is forecasted using the Artificial Neural Networks (ANNs) to determine potential donors for convalescent (immune) plasma (CIP) treatment of COVID-19. This is performed explicitly to show the applicability of ANNs in forecasting the daily number of patients recovered from COVID-19. Second, the ANNs-based approach is further applied to the data from Italy to confirm its robustness in other geographical contexts. Finally, to evaluate its forecasting accuracy, the proposed Multi-Layer Perceptron (MLP) approach is compared with other traditional models, including Autoregressive Integrated Moving Average (ARIMA), Long Short-term Memory (LSTM), and Nonlinear Autoregressive Network with Exogenous Inputs (NARX). Compared to the ARIMA, LSTM, and NARX, the MLP-based model is found to perform better in forecasting the number of people recovered from COVID-19. Overall, the findings suggest that the proposed model is robust and can be widely applied in other parts of the world in forecasting the patients recovered from COVID-19.

Expert Systems with Applications, 2021

Abstract Service quality is one of the most important factors that increase the use of public tra... more Abstract Service quality is one of the most important factors that increase the use of public transportation, especially in metropolitan cities such as Istanbul. When evaluating service quality in public transportation systems, one of the most important factors is customer satisfaction. The increase in service quality increases the usage of public transport system utilization and it helps to solve many problems such as traffic congestion, air and noise pollution and energy consumption. For this purpose, the SERVQUAL model is extended with two new criteria related to Industry 4.0 and the pandemic to understand and evaluate the service quality of public transport systems. New criteria added into the SERVQUAL model and a novel P-SERVQUAL 4.0 (Pandemic SERVQUAL 4.0) model is presented. The novel service quality evaluation model is constructed as a three level hierarchical structure to evaluate public transport systems during the pandemic. Then, the evaluation model is modeled as a multi criteria decision making problem and a novel AHP (Analytic Hierarchy Process) integrated WASPAS (Weighted Aggregated Sum Product Assessment) under interval valued intuitionistic fuzzy (IVIF) environment methodology is employed. A real case application to evaluate Istanbul public transport systems is presented in this study. The proposed novel model is applied to evaluate the most used public transportation alternatives such as IETT Bus, Metrobus, Tram, Metro and Marmaray, in Istanbul. By the application of P-SERVQUAL 4.0 model; as a result of this study, Marmaray is determined as the best alternative. The proposed methodology can be used by public or private organizations to improve their strategies and operations to adapt Industry 4.0 and prevent the spread of SARS-CoV-2 (COVID-19). Also, the main limitations and the practical and managerial implications of the study are included in the conclusions.

Doğuş Üniversitesi Dergisi, 2018

Journal of Intelligent and Fuzzy Systems, 2013

There is no defined methodological approach that would rank the quality goals of a process in unc... more There is no defined methodological approach that would rank the quality goals of a process in uncertain environments, which is one of the basic problems in process management. In this paper, the considered problem is stated as a multi-criteria decision problem. The criteria present performances which are defined by the knowledge and experience of the decision makers. The fuzzy rating weights of each pair of the considered criteria and uncertain criteria values for the defined quality goals are described by linguistic expressions which are ...

iticu.edu.tr

... Alev TAŞKIN Yıldız Teknik Üniversitesi Ali Fuat GÜNERİ Yıldız Teknik Üniversitesi Özet ... or... more ... Alev TAŞKIN Yıldız Teknik Üniversitesi Ali Fuat GÜNERİ Yıldız Teknik Üniversitesi Özet ... organizasyonun kendi iç yapısındaki güçlü ve zayıf yönlerin analiz edilmesini sağlarken; aynı zamanda, organizasyonun diğer organizasyonlar karşısındaki durumunu tespit etmeye yarar. ...

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 2021

Neural Computing and Applications

Human Factors and Ergonomics in Manufacturing & Service Industries

Abstract Many governments decided to cancel face‐to‐face teaching and learning activities in scho... more Abstract Many governments decided to cancel face‐to‐face teaching and learning activities in schools and universities. They replaced them with online teaching and distance learning activities to prevent the spread of Coronavirus disease 2019 (COVID‐19). Due to this sudden change, students experienced some anthropometric, environmental, and psychosocial difficulties at home during the distance learning process. This study focuses on determining the importance of anthropometric, environmental, and psychosocial factors in the distance learning process during the COVID‐19 pandemic. This study presents main factors and their subfactors affecting ergonomic conditions of university students during distance learning. A novel distance learning ergonomics checklist is proposed based on the Occupational Safety and Health Administration checklists. The data are collected via a questionnaire filled by 100 university students who attend the Ergonomics course online. Then, the integrated methodology includes Voting Analytic Hierarchy Process integrated Pythagorean Fuzzy Technique for Order Preference by Similarity to An Ideal Solution method is adopted to prioritize the factors determined. Thirty‐nine different subfactors are evaluated under five titles, and the most important factors are determined using the proposed methodology. With the results achieved, it is seen that the suggested checklist and proposed methodology can be used by public and private education organizations as a guide for improving their distance learning strategies.

Environmental Science and Pollution Research

CRC Press eBooks, Oct 27, 2022

Environmental Science and Pollution Research

Multi-Criteria Decision Analysis

Socio-Economic Planning Sciences

Neural Computing and Applications, Apr 26, 2022

A manufacturing supply chain is a network of suppliers, factories, subcontractors, warehouses, di... more A manufacturing supply chain is a network of suppliers, factories, subcontractors, warehouses, distribution centers and retailers, through which raw materials are acquired, transformed, produced and delivered to the end customers. Many methods have been suggested over the years for supply chain evaluation of any organization. This study discusses the supply chain performance criteria for efficient supply chain performance evaluation in chemical industry on the basis of Balanced Scorecard's (BSC) four perspectives: finance, customer, internal business process, and learning and growth. The balanced scorecard developed in this paper provides a useful guidance in evaluation and measuring of SCM in a balanced way.

As the technology improves and widens, the companies change. Especially to be competitive in the ... more As the technology improves and widens, the companies change. Especially to be competitive in the market, the companies should renew themselves. In past, managers thought that if they had produced something they could sell it in the market, but now this is impossible. There are too many rivals in the market. For this reason, companies should control their inventories and they should arrange their supply chain mangement activities according to their inventories. Also companies should force their suppliers to deliver in time, at the highest quality and in minimum price. In such a competitive market, the customers should be satisfied and inventories should be effectively managed. So, inventory management and optimization is very important in supply chain management. Supply chain inventory management (SCIM) is an integrated approach for planning and control of inventory, throughout the entire network of cooperating organizations from the source of supply to the end user. SCIM is focused ...

Journal of Air Transport Management, 2022

Measuring customer satisfaction in service businesses is very important in terms of both increasi... more Measuring customer satisfaction in service businesses is very important in terms of both increasing service quality and meeting customer expectations. Up-to-date and comprehensive quality of service measurement techniques provide important information to the companies about the way customers perceive the quality and their service quality expectations. It is critical to measure the service quality for airline transportation, which is becoming more popular compared to other types of transportation and therefore increasing competition. In order to compete in the market and improve their service quality, companies should know their customers well and make improvements by analysing their expectations correctly. In this context, the SERVQUAL method is one of the frequently preferred and effective tools in service quality measurement. However, it is not possible to deal with the effects of radical changes such as the development and transformations of technology, events and trends under the influence of the world with the conventional SERVQUAL method. For this purpose, the traditional method consisting of five dimensions has been extended to nine dimensions by adding four more dimensions, namely Environment, Pandemic, Digital Technology and Information Systems. While it is possible to perform a more detailed service quality measurement with the proposed method, companies are provided with an effective and up-to-date tool to determine which dimensions are more important. In this study after structuring main dimensions and its inner levels hierarchically, Modified Delphi method is applied to a group of experts and the main criteria are evaluated with Best Worst Method and sub-criteria are evaluated with Interval-Valued Neutrosophic AHP method. After subjecting the criteria, whose importance are determined, to sensitivity analysis, the results obtained are evaluated in terms of airline transportation and recommendations are presented. In addition to the extended approach it proposes, this study is the most detailed research on airline service quality as far as we know.

Computers in Biology and Medicine, 2021

This study introduces a forecasting model to help design an effective blood supply chain mechanis... more This study introduces a forecasting model to help design an effective blood supply chain mechanism for tackling the COVID-19 pandemic. In doing so, first, the number of people recovered from COVID-19 is forecasted using the Artificial Neural Networks (ANNs) to determine potential donors for convalescent (immune) plasma (CIP) treatment of COVID-19. This is performed explicitly to show the applicability of ANNs in forecasting the daily number of patients recovered from COVID-19. Second, the ANNs-based approach is further applied to the data from Italy to confirm its robustness in other geographical contexts. Finally, to evaluate its forecasting accuracy, the proposed Multi-Layer Perceptron (MLP) approach is compared with other traditional models, including Autoregressive Integrated Moving Average (ARIMA), Long Short-term Memory (LSTM), and Nonlinear Autoregressive Network with Exogenous Inputs (NARX). Compared to the ARIMA, LSTM, and NARX, the MLP-based model is found to perform better in forecasting the number of people recovered from COVID-19. Overall, the findings suggest that the proposed model is robust and can be widely applied in other parts of the world in forecasting the patients recovered from COVID-19.

Expert Systems with Applications, 2021

Abstract Service quality is one of the most important factors that increase the use of public tra... more Abstract Service quality is one of the most important factors that increase the use of public transportation, especially in metropolitan cities such as Istanbul. When evaluating service quality in public transportation systems, one of the most important factors is customer satisfaction. The increase in service quality increases the usage of public transport system utilization and it helps to solve many problems such as traffic congestion, air and noise pollution and energy consumption. For this purpose, the SERVQUAL model is extended with two new criteria related to Industry 4.0 and the pandemic to understand and evaluate the service quality of public transport systems. New criteria added into the SERVQUAL model and a novel P-SERVQUAL 4.0 (Pandemic SERVQUAL 4.0) model is presented. The novel service quality evaluation model is constructed as a three level hierarchical structure to evaluate public transport systems during the pandemic. Then, the evaluation model is modeled as a multi criteria decision making problem and a novel AHP (Analytic Hierarchy Process) integrated WASPAS (Weighted Aggregated Sum Product Assessment) under interval valued intuitionistic fuzzy (IVIF) environment methodology is employed. A real case application to evaluate Istanbul public transport systems is presented in this study. The proposed novel model is applied to evaluate the most used public transportation alternatives such as IETT Bus, Metrobus, Tram, Metro and Marmaray, in Istanbul. By the application of P-SERVQUAL 4.0 model; as a result of this study, Marmaray is determined as the best alternative. The proposed methodology can be used by public or private organizations to improve their strategies and operations to adapt Industry 4.0 and prevent the spread of SARS-CoV-2 (COVID-19). Also, the main limitations and the practical and managerial implications of the study are included in the conclusions.

Doğuş Üniversitesi Dergisi, 2018

Journal of Intelligent and Fuzzy Systems, 2013

There is no defined methodological approach that would rank the quality goals of a process in unc... more There is no defined methodological approach that would rank the quality goals of a process in uncertain environments, which is one of the basic problems in process management. In this paper, the considered problem is stated as a multi-criteria decision problem. The criteria present performances which are defined by the knowledge and experience of the decision makers. The fuzzy rating weights of each pair of the considered criteria and uncertain criteria values for the defined quality goals are described by linguistic expressions which are ...

iticu.edu.tr

... Alev TAŞKIN Yıldız Teknik Üniversitesi Ali Fuat GÜNERİ Yıldız Teknik Üniversitesi Özet ... or... more ... Alev TAŞKIN Yıldız Teknik Üniversitesi Ali Fuat GÜNERİ Yıldız Teknik Üniversitesi Özet ... organizasyonun kendi iç yapısındaki güçlü ve zayıf yönlerin analiz edilmesini sağlarken; aynı zamanda, organizasyonun diğer organizasyonlar karşısındaki durumunu tespit etmeye yarar. ...

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 2021

Neural Computing and Applications

Human Factors and Ergonomics in Manufacturing & Service Industries

Abstract Many governments decided to cancel face‐to‐face teaching and learning activities in scho... more Abstract Many governments decided to cancel face‐to‐face teaching and learning activities in schools and universities. They replaced them with online teaching and distance learning activities to prevent the spread of Coronavirus disease 2019 (COVID‐19). Due to this sudden change, students experienced some anthropometric, environmental, and psychosocial difficulties at home during the distance learning process. This study focuses on determining the importance of anthropometric, environmental, and psychosocial factors in the distance learning process during the COVID‐19 pandemic. This study presents main factors and their subfactors affecting ergonomic conditions of university students during distance learning. A novel distance learning ergonomics checklist is proposed based on the Occupational Safety and Health Administration checklists. The data are collected via a questionnaire filled by 100 university students who attend the Ergonomics course online. Then, the integrated methodology includes Voting Analytic Hierarchy Process integrated Pythagorean Fuzzy Technique for Order Preference by Similarity to An Ideal Solution method is adopted to prioritize the factors determined. Thirty‐nine different subfactors are evaluated under five titles, and the most important factors are determined using the proposed methodology. With the results achieved, it is seen that the suggested checklist and proposed methodology can be used by public and private education organizations as a guide for improving their distance learning strategies.

Environmental Science and Pollution Research