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Öğe A Framework for the Impact of Human Factors on the Effectiveness of Learning Management Systems(IEEE-Inst Electrical Electronics Engineers Inc, 2020) Alomari, Majdi M.; El-Kanj, Hania; Alshdaifat, Nafesah, I; Topal, AyseHigher education institutions (HEI) have realized the advantages of implementing a blended learning environment by using learning management systems (LMSs) to provide effective ways of learning and teaching. However, recent literature has revealed that developing countries' educational institutions fail when they adopt LMS technologies because they ignore the human factors related to these technologies. This study investigated the impact of human factors on the effectiveness of LMS in a blended learning environment at Kuwait's HEIs (KHEIs). In this paper, a pragmatic approach consisting of quantitative and qualitative methods is used. User characteristics traits from the literature review were organized into three main indicators of human impact on the effectiveness of LMS: technological characteristics, psychological characteristics, and student-instructor interaction characteristics. After these indicators were identified, a conceptual model was developed to study the characteristics. A deductive approach was used, and the model was tested for significance through receiving feedback from the universities' students and faculty members. In addition, an inductive approach was implemented through conducting interviews to explore more factors related to the effectiveness of LMS. The inductive approach's results revealed the relevant factors for the usage of the LMS, such as training, needs, expectations, and branding. The human factors that positively affect the success and effectiveness of LMS included attitude, enjoyment, experience, self-efficacy, and promptness, which had the most substantial impacts on user satisfaction. The modified conceptual model that this paper presents includes these impacting factors and provides an acceptable fit to the data. This research has developed an updated framework for demonstrating the effectiveness of LMS as it pertains to human factors, and its findings can be used to enhance user experience in a blended learning environment, thus improving the quality of Kuwaiti education.Öğe A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers(Mdpi, 2023) Ulutas, Alptekin; Kiridena, Senevi; Shukla, Nagesh; Topal, AyseIn light of the rapid rate of change and unforeseen occurrences seen in the realms of technology, market dynamics, and the wider business landscape, there is a growing need for the inclusion of uncertainty and risk factors in the realm of supply chain planning. Supplier evaluation and selection (SES) is a major strategic decision area where the impact of uncertainty and risk can be more proactively dealt with. A review of extant literature reveals that there is a strong need for developing practitioner-oriented and more comprehensive frameworks and models to mitigate both the capability- and performance-related risks, in the context of SES decisions. This paper presents an integrated model to support SES decisions involving quantity discounts and multiple planning periods under stochastic conditions. The proposed model employs the Fuzzy Analytical Hierarchy Process (FAHP), Fuzzy Evaluation Based on Distance from Average Solution EDAS (EDAS-F), and fuzzy stochastic goal programming (FSGP) to effectively address the above requirements. A case study from a garment manufacturing industry is used to demonstrate the efficacy of the proposed model. The findings of the study provide confirmation that the suggested FSIM has the ability to provide substantial advantages in the context of making choices related to quantity discounts in SES. The proposed FSIM model incorporates the use of FAHP and EDAS-F techniques to effectively reduce the number of suppliers to a manageable level, taking into consideration capability-based risks. Additionally, fuzzy stochastic goal programming (FSGP) is employed to mitigate performance-based risks, enabling the selection of suppliers and the allocation of orders among them. The paper contributes to the literature by proposing a comprehensive framework to solve the SES problem, considering certain practical situations faced by organizations.Öğe A new hybrid MCDM method for optimizing natural stone selection for building envelopes(Pontificia Univ Catolica Chile, Escuela Construccion Civil, 2023) Ulutas, Alptekin; Balo, Figen; Topal, AyseMost kinds of natural stones are perfect coating materials. Through utilizing stones with less thermal conduc-tivity coefficients, isolation of constructions improves with energy effective resolution. Modern building technologies prefer either decreasing stone to the weakest plausible extents or utilizing natural stones because natural stones have lower thermal conductivity with lighter weights. For this reason, first, the thermal and physical characteristics of natural stones used as coating material on the exterior walls of the buildings were investigated in this study. Then, in the light of these characteristics, natural stones with the best performance in terms of energy efficiency were determined using multi-criteria decision-making methods including FFSWARA and COBRA. The findings show that compressive strength is the most significant criteria and Isparta andesite stone is the most superior natural stone in terms of performance. This study con-tributes to the literature in three ways. First, the COBRA method used in this study has recently been introduced to the literature. Therefore, it has not been covered much in the literature. Second, this method has not been used in the selection of natural stone selection in the literature to our best knowledge. Third, this method has not been used together with the FFSWARA method before.Öğe A new hybrid model based on rough step-wise weight assessment ratio analysis for third-party logistics selection(Springer, 2022) Ulutas, Alptekin; Topal, AyseIncreasing competition as a result of globalization has forced the businesses to increase efficiency by focusing on the core competencies. This led businesses to outsource logistics. As a result, most of the businesses started to use third-party logistics (3PLs). There are various and conflicting criteria involved in 3PL selection, thus the selection of 3PL is a complex task for businesses. There are several methods in the literature used for 3PL selection, most of them are multi-criteria decision-making methods. A new hybrid model including Rough step-wise weight assessment ratio analysis (SWARA), Rough preference selection Index (RPSI), and Rough improved operational competitiveness rating analysis (IOCRA) has been used to select optimal third-party logistics providers in this study. There are two contributions to this study. First one is the development of a new hybrid rough model for 3PL selection. Second one is addressing the 3PL selection decision problem with newly developed Rough PSI and Rough IOCRA methods. Using this model and conducting a comprehensive analysis, the best option as a 3PL provider may be determined as a partner for logistics. The model effectiveness has been tested in a real case with a textile business and several 3PL providers.Öğe A NEW INTEGRATED GREY MCDM MODEL: CASE OF WAREHOUSE LOCATION SELECTION(Univ Nis, 2021) Ulutas, Alptekin; Balo, Figen; Sua, Lutfu; Demir, Ezgi; Topal, Ayse; Jakovljevic, VladimirWarehouses link suppliers and customers throughout the entire supply chain. The location of the warehouse has a significant impact on the logistics process. Even though all other warehouse activities are successful, if the product dispatched from the warehouse fails to meet the customer needs in time, the company may face with the risk of losing customers. This affects the performance of the whole supply chain therefore the choice of warehouse location is an important decision problem. This problem is a multicriteria decision-making (MCDM) problem since it involves many criteria and alternatives in the selection process. This study proposes an integrated grey MCDM model including grey preference selection index (GPSI) and grey proximity indexed value (GPIV) to determine the most appropriate warehouse location for a supermarket. This study aims to make three contributions to the literature. PSI and PIV methods combined with grey theory will be introduced for the first time in the literature. In addition, GPSI and GPIV methods will be combined and used to select the best warehouse location. In this study, the performances of five warehouse location alternatives were assessed with twelve criteria. Location 4 is found as the best alternative in GPIV. The GPIV results were compared with other grey MCDM methods, and it was found that GPIV method is reliable. It has been determined from the sensitivity analysis that the change in criteria weights causes a change in the ranking of the locations therefore GPIV method was found to be sensitive to the change in criteria weights.Öğe A New Integrated Multi-Criteria Decision-Making Model for Sustainable Supplier Selection Based on a Novel Grey WISP and Grey BWM Methods(Mdpi, 2022) Ulutas, Alptekin; Topal, Ayse; Pamucar, Dragan; Stevic, Zeljko; Karabasevic, Darjan; Popovic, GabrijelaSupplier selection is an important task in supply chain management, as suppliers have a vital role in the success of organisations in a supply chain. Sustainability has emerged as a solution to decreasing resources and increasing environmental and social problems in the past few decades. It has been applied to various industrial operations, one of them is supplier selection, to mitigate unwanted effects in the future. Sustainable supplier selection is a complicated multi-criteria decision making problem, including several criteria from economic, environmental, and social perspectives. To deal with subjective judgements of decision makers, fuzzy and grey methods are widely used in multi-criteria decision making, In the case of small, limited, and incomplete data, the grey theory provides satisfactory results, compared to fuzzy methods. Therefore, this study is an integrated method including grey Best-Worst Method (BWM) and grey Weighted Sum-Product (WISP) for choosing the most sustainable supplier for a textile manufacturer, which includes three main criteria and twelve sub-criteria. According to the result of the proposed model, the supplier with the best performance was determined to be the supplier with the SP2 coded. The results of the developed model were shown to the experts, and the accuracy of the results was confirmed. According to the experts, a higher amount of product can be purchased from the supplier with the SP2 code, and a tighter relationship can be worked with this supplier. The contributions of this study are: (1) Develop a new grey MCDM model called Grey WISP. (2) Create a new integrated MCDM model with grey theory, BWM, and WISP methods that can be applied to assess supplier sustainability using this hybrid model. The proposed model can be used not just for selecting sustainable suppliers, but also for any other decision problems that have multiple criteria and alternatives. The findings suggest that the Grey WISP method achieved accurate results.Öğe A new integrated rough multi-criteria decision-making model for enterprise resource planning software selection(Peerj Inc, 2024) Cao, Bing; Jin, Yongsheng; Uluta, Alptekin; Topal, Ayse; Stevic, Zeljko; Karabasevic, Darjan; Sava, CiprianaEnterprise resource planning (ERP) is widely used to boost the total market power of businesses. The wrong selection is one of the key reasons why ERP installations fail. Due to the complexity of the business environment and the range of ERP systems, choosing an ERP system is a complex and time-consuming procedure. ERP alternatives may be assessed using several criteria, so the ERP selection process may be considered a multicriteria decision-making (MCDM) problem. In this study, the rough best worst method (BWM) was used to determine criteria weights, while the newly developed rough integrated simple weighted sum product (WISP) was used to rank ERP alternatives. Results suggest that the SFT -4 coded software is regarded as the best option, followed by SFT -5, SFT -6, SFT -2, SFT -3, and SFT -1. Results of the newly developed rough WISP method are compared to those of existing rough techniques in the sensitivity analysis. The differences between them have been found to be negligible. The outcomes show how effectively developed rough BWM and WISP integrated method performs in terms of ERP selection with usability, accuracy, ease of use, and consistency. This study will help decision-makers in a context where ERP is implemented choose the best ERP software for different sectors.Öğe A Novel Hybrid Gray MCDM Model for Resilient Supplier Selection Problem(Mdpi, 2024) Ulutas, Alptekin; Krstic, Mladen; Topal, Ayse; Agnusdei, Leonardo; Tadic, Snezana; Miglietta, Pier PaoloThe current business climate has generated considerable uncertainty and disrupted supply chain processes. Suppliers have frequently been identified as the primary source of hazards responsible for supply chain disruptions. Using a strategic approach to supplier selection that prioritizes providers with resilience features, mitigating the risk exposure inherent in supply chains is possible. This study proposes a comprehensive gray multiple-criteria decision making (MCDM) method incorporating resilience attributes to supplier selection. To determine criteria weights, the gray PSI and gray BWM methodologies were used, and to evaluate and prioritize resilient providers, the gray MCRAT and gray COBRA methodologies were applied. According to the results obtained by the suggested methodology, the supplier that demonstrated the greatest degree of resilience was determined to be the provider categorized as SPIR 4. The sequential sequence of the SPIR numbers is as follows: SPIR 5, SPIR 1, SPIR 3, SPIR 2, and SPIR 6. The data demonstrate that the developed approach produced accurate results.Öğe Analysis of energy conservation behavior at the kuwaiti academic buildings(Econjournals, 2021) Alomari, Majdi M.; El-Kanj, Hania; Topal, AyseUnderstanding user’s behavior in buildings is crucial since user behavior significantly contributes to the overall building’s energy consumption. Therefore, this study aims to identify a user’s pro-environmental behavior, in particular, the energy conservation behavior (ECB) of university users in Kuwait. For this reason, this study creates a model whereby two variables, namely, environmental knowledge and awareness of consequences, are introduced and incorporated into the existing theory of planned behavior (TPB). The research data is acquired through questionnaires in keeping with Kuwait’s social norms and culture. The extended TPB model is tested using numerical analysis problems in partial least square structural equation modeling (PLS-SEM) to investigate the following variables: energy conservation behavior, intention, subjective norm, attitude, perceived behavioral control, environmental knowledge, and awareness. Results show the indirect effects of the two above mentioned variables on conservation behavior. The results also reveal that societal pressure and cultures significantly affect the users’ intention to engage in energy conservation behavior. The outcomes of this research suggest that there is a need to encourage energy conservation behavior changes in Kuwaiti academics’ buildings by supporting the antecedents, as well as eliminating barriers to pro-environmental actions. © 2021, Econjournals. All rights reserved.Öğe Assessment of Collaboration-Based and Non-Collaboration-Based Logistics Risks with Plithogenic SWARA Method(Mdpi, 2021) Ulutas, Alptekin; Meidute-Kavaliauskiene, Ieva; Topal, Ayse; Demir, EzgiBackground: Uncertainty is the major source of hazards, and it is present in a wide range of business activities. Due to the high level of unpredictability in logistics operations, the logistics sector has traditionally operated in a high-risk environment. These risks have become considerably more complicated as the corporate environment has changed in recent years, such through globalization, environmental concerns, and changes in demand. As a result, in order for a logistics firm to thrive, it is necessary to evaluate and assess the risks associated with logistics. Methods: The Plithogenic Stepwise Weight Assessment Ratio Analysis (SWARA) has been used in this study to assess the logistics risks. The logistics risk considered in this study are transportation-related risks, purchasing-related risks, inventory-related risks, information-related risks, packaging-related risks, operational-related risks, geographical location-related risks, natural disaster-related risks, and organization-related risks. Results: The most significant logistics risks are found to be Inventory-Related Risks, while the least significant are Geographical Location-Related Risks. When compared to the standard SWARA approach, the Plithogenic SWARA method may be employed in group decision-making issues without losing information. Conclusions: The proposed technique will help logistics professionals make informed decisions and manage and analyze risks more efficiently. This study will also contribute to the literature as it is the first time that logistical risks have been addressed by utilizing the Plithogenic SWARA technique.Öğe Assessment of determinants for households' pro-environmental behaviours and direct emissions(Elsevier Sci Ltd, 2023) Buelbuel, Hasan; Topal, Ayse; Ozoglu, Buket; Buyukkeklik, ArzumThis study aims to analyse the effect of environmental awareness, the mediating effect of environmental willingness and the moderating effects of demographics to better understand how pro-environmental behaviours and carbon emissions are affected and make recommendations on how to improve them. The structural equation modeling and multi-group analysis were employed to analyse the data collected from households in Turkiye. This study's novelty lies in the measuring model designed to consider moderating effects of demographics and mediating effects of environmental willingness on pro-environmental behaviours and carbon emissions in Turkish households. The results show that household demographics have moderating effect. It has also been found that environmental willingness plays a mediating role between environmental sensitivity and pro environmental behaviours. In addition, it is found that nothing affects direct carbon emissions. The main reason may be the use of standard equipment in the residences. Various implications for the public and private sectors have been given in conclusion to increase pro-environmental behaviours and to decrease emissions through considering environmental sensitivity, environmental willingness, and demographics.Öğe Energy conservation behavior of university occupants in Kuwait: A multigroup analysis(Elsevier Ltd, 2022) Alomari, Majdi M.; EL-Kanj, Hania; Topal, Ayse; Alshdaifat, Nafesah I.The continuous increase in energy consumption has led to strategies worldwide to encourage energy conservation behavioral strategies to mitigate high demand and environmental problems. Limited literature focuses on the university occupants' energy conservation behaviors (ECBs). This study examined how three university occupant groups (faculty, students, and staff) performed in the Theory of Planned Behavior (TBP) hypotheses. The current study also aims to examine how the occupants differ in the dimensions of TBP affecting their ECBs. Model testing was done using partial least square structural equation modeling (PLS-SEM) and multigroup analysis (MGA). At the overall model, results showed that all predictors of ECB are significant. All hypotheses were supported except for direct relationships between EK and ECB and AWC and ECB. After applying the MGA, our research revealed that faculty demonstrated a more confident ECB and have a more positive INT than students and staff due to their EK and AWC. However, there is still a significant difference in the EK of occupants. Interestingly, this study found that students display greater trust in SNs than the levels of SNs reported by faculty and staff. This research suggests that universities should consider implementing unique energy education methods and approaches to each occupant. © 2022 Elsevier LtdÖğe Evaluation of third-party logistics service providers for car manufacturing firms using a novel integrated grey LOPCOW-PSI-MACONT model(Pergamon-Elsevier Science Ltd, 2024) Ulutas, Alptekin; Topal, Ayse; Gorcun, Omer Faruk; Ecer, FatihAutomotive businesses often delegate logistical tasks to third-party logistics (3PLs) service providers to acquire a competitive edge in the dynamic market. Nevertheless, selecting the most suitable third-party logistics (3PL) partner is a multifaceted undertaking that needs careful evaluation of several criteria and alternatives. This research aims to introduce an integrated grey Multiple Criteria Decision Making (MCDM) framework for automotive businesses to deal with the multidimensional 3PL selection decision problem. This framework incorporates an enhanced Preference Selection Index (PSI), Logarithmic Percentage Change-driven Objective Weighting (LOPCOW), and Mixed Aggregation by Comprehensive Normalization Technique (MACONT). The LOPCOW-G and grey PSI (PSI-G) methods extract the criterion weights, whereas the MACONT-G method ranks the alternatives. The suggested framework's practicality is shown by conducting a case study about evaluating and selecting a third-party logistics (3PLs) provider. The findings indicate that the parameters of significant importance are skilled workforce (0.0977), financial strength (0.0901), and IT-IS competence (0.0839). Furthermore, TPL4 has been recognized as the most optimum option with a value of 0.4797. The MACONT-G model is as well compared against other grey MCDM techniques to assess the validity of the proposed model. The Pearson correlation coefficient between MACONT-G and the other models based on grey sets is 0.958, suggesting a significant and positive link. Furthermore, it is worth noting that a sensitivity analysis has been conducted to validate the accuracy and reliability of the created framework. In conclusion, this study has identified managerial and policy implications that might assist policymakers and executives in effectively evaluating 3PL providers.Öğe Exploring the impact of the COVID-19 pandemic on energy literacy and conservation behavior in academic buildings of Kuwait(Cell Press, 2023) Alomari, Majdi M.; EL-Kanj, Hania; Topal, Ayse; Alshdaifat, Nafesah I.This study investigates the impact of the COVID-19 pandemic on energy literacy and conservation behavior among occupant groups in academic buildings in Kuwait. It explores influential factors, focusing on the pandemic's effect on attitudes, intentions, and behaviors related to energy conservation. The research adopts a mixed-methods approach, incorporating quantitative and qualitative data collection methods. Participants, including students, faculty, and staff, completed surveys, participated in questionnaires, focus groups, and took part in interviews. Statistical tests are used to validate the survey data, while thematic analysis is applied to the qualitative data. The findings of the research showed that COVID-19 had a significant impact on participants' attitudes, intentions, and behavior regarding energy literacy and conservation. Specifically, the student group experienced a significant increase in the relationship between their intentions and behavior, while the faculty group exhibited a strong correlation between intention and behavior. The study also found that education, awareness, personal motivation, values, religiosity, and culture were all crucial factors in promoting energy literacy and conservation behavior. The study recommends specific educational interventions, fostering a culture of conservation, providing access to information and resources, promoting community engagement, incorporating religiosity, and improving policies and infrastructure to enhance energy literacy in academic buildings. Additionally, the study highlights the importance of tailored educational interventions that consider the specific needs and challenges of different occupant groups and suggests incorporating religious perspectives to align with the cultural and religious context of the Kuwaiti population. The study's findings offer comprehensive insights into the impact of unforeseen events, such as pandemics, on energy literacy and conservation behavior. These insights have practical implications for policymaking and implementation. Future research could explore the effectiveness of various educational interventions and examine the role of social and cultural factors in shaping energy literacy and behavior.Öğe Fermatean fuzzy framework based on preference selection index and combined compromise solution methods for green supplier selection in textile industry(Taylor & Francis Ltd, 2024) Pamucar, Dragan; Ulutas, Alptekin; Topal, Ayse; Karamasa, Caglar; Ecer, FatihThis work aims to enhance the efficiency and dependability of the green supplier selection process by developing a decision support tool. Thereby, a novel fuzzy group multi-criteria decision-making approach based on the Preference Selection Index (PSI) and Combined Compromise Solution (CoCoSo) methods under the Fermatean Fuzzy (FF) environment for green supplier selection is proposed. The primary novelties and contributions are: (i) for the first time, the FF-PSI model is developed to extract the priority weight values of criteria, (ii) an improved FF-CoCoSo methodology is proposed, and (ii) the FF-PSI-CoCoSo framework is offered for resolving challenging real-life problems. To present the framework's practicality, a real-case study evaluating six suppliers concerning nine drives under economics, environmental, and technological aspects in a textile company in Turkey is conducted. The results indicate that green warehousing is the most essential driver for green suppliers, followed by recycling and damaged product ratio. A detailed sensitivity and comparison check is further conducted to display the solidity and effectiveness of the proposed framework. The suggested framework offers a reliable solution for green supplier selection and a precise sustainable rating of suppliers. Moreover, it can be addressed to solve various challenging real-world problems.Öğe Identifying the Most Efficient Natural Fibre for Common Commercial Building Insulation Materials with an Integrated PSI, MEREC, LOPCOW and MCRAT Model(Mdpi, 2023) Ulutas, Alptekin; Balo, Figen; Topal, AyseBuilding insulation is the most respected among the compatible and effective energy conservation technologies available today, as it also reduces yearly energy costs and negative environmental effects. A building envelope is made up of various insulation materials that are important in determining a building's thermal performance. Proper insulation material selection concludes in less energy requisition for operation. The purpose of this research is to supply information about natural fibre insulating materials used in construction insulation to maintain energy efficiency, as well as to recommend the most efficient natural fibre insulation material. As in most decision-making problems, several criteria and alternatives are involved in insulation material selection, too. Therefore, we used a novel integrated multi criteria decision making (MCDM) model including the preference selection index (PSI), method based on the removal effects of criteria (MEREC), logarithmic percentage change-driven objective weighting (LOPCOW), and multiple criteria ranking by alternative trace (MCRAT) methods to deal with the complexity of numerous criteria and alternatives. The contribution of this study is that a new hybrid MCDM method is developed. Additionally, the number of studies using the MCRAT method is very limited in the literature; therefore, this study will provide more insights into and results of this method to the literature.Öğe Improving energy literacy among Kuwaiti university students with a tailored course on sustainable energy practices(World Institute for Engineering and Technology Education, 2024) Alomari, Majdi M.; El-Kanj, Hania; Topal, Ayse; Alshdaifat, Nafesah I.In this article, the authors explore the impact of an energy literacy course tailored exclusively for Kuwaiti students, designed to align with Kuwaiti social norms and culture. The course’s objective is to enrich students’ cognitive comprehension, affective attitudes, and behavioural practices related to energy consumption and conservation. This study used a comprehensive approach that combines quantitative and qualitative survey methods, including focus group discussions and observations to assess the course’s effectiveness. The results showed that the energy literacy course was successful in improving students’ energy-related knowledge, affective attitudes and behaviours. The findings show that students who participated in the course demonstrated greater cognitive gains, particularly on items related to more practical topics, and a more positive attitude towards energy conservation as compared to their levels before the course. Overall, the tailored energy literacy course proved to be an effective intervention, successfully enhancing students’ cognitive understanding, cultivating positive affective attitudes and promoting sustainable energy-related behaviours. © WIETE 2024.Öğe Location selection for logistics center with fuzzy SWARA and CoCoSo methods(Ios Press, 2020) Ulutas, Alptekin; Karakus, Can Bulent; Topal, AyseLogistics centers are home to many and varied facilities, such as storage, transportation of goods, handling, reassembling, clearing, disassembling, quality control, social services and providing accommodation, so on. Providing logistical activities from one location can provide some macro advantages, as well as regional development in developing countries. For the micro level, logistics center selection has an effective role in increasing the operational efficiency and decreasing the costs of the firms. While the wrong location selection for logistics center affects the operations and costs of the companies negatively, the optimal location selection increases the performance, competitiveness, profitability of the firms and reduces the costs of the firms. Since many different qualitative and quantitative criteria are considered in the selection of the logistics center, this selection problem is an MCDM problem. A new integrated MCDM model is proposed to solve this problem for Sivas province in Turkey. This study presents two contributions to the literature. Firstly, the number of studies related to CoCoSo method is limited in the literature, therefore, the CoCoSo method is proposed in this study. Secondly, a new integrated GIS-based MCDM model comprising fuzzy SWARA and CoCoSo is introduced to literature to address the location selection problem for a logistics center. In this study, the results of CoCoSo method and the resulfts of other MCDM methods (COPRAS, VIKOR, ARAS, MOORA, and MABAC) are compared to test the accuracy of results obtained by CoCoSo. Besides, the criteria weights are changed and the possible changes in the results are tracked.Öğe Prioritization of Logistics Risks with Plithogenic PIPRECIA Method(Springer Science and Business Media Deutschland GmbH, 2022) Ulutaş, Alptekin; Topal, Ayse; Karabasevic, Darjan; Stanujkic, Dragisa; Popovic, Gabrijela; Smarandache, FlorentinRapidly changing markets, actors, new legal regulations, information and data intensity have increased uncertainty, and as a result, businesses that want to continue operating in the market need to pay more attention to risk criteria. Risk can be explained as unplanned event which affects a business’s overall performance. Logistics practices that develop and change continuously show a great variety such as weather and road accidents to faults in operations. Logistics risks have important roles in supply chains efficiency as the risks in logistics may adversely affect all parts of the supply chains and lead to decreases in business performances. Multi-criteria decision making methods are commonly used in risk prioritisation. In this study, a newly developed method called Plithogenic PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) Method is used to prioritise logistics risks. For identifying weights, data were collected from three experts in the logistics field. Six logistics risks were considered and according to the results of Plithogenic PIPRECIA Transportation-related risk is determined as the most significant risk. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Öğe Selection of a Forklift for a Cargo Company with Fuzzy BWM and Fuzzy MCRAT Methods(Mdpi, 2023) Ulutas, Alptekin; Topal, Ayse; Karabasevic, Darjan; Balo, FigenMaterial handling is a cost-intensive operation for businesses. There are several alternative types of equipment for material handling, therefore it is important to select the best one among them to decrease the cost. As there are several different alternatives and criteria which are used to assess these alternatives, multi-criteria decision making (MCDM) techniques are useful to determine the optimal material handling equipment (MHE) for businesses. In this study, fuzzy BWM for determining weights of criteria and the fuzzy Multiple Criteria Ranking by Alternative Trace (MCRAT) method have been used for ranking forklift alternatives. This study's significance in the literature will be the creation of a novel fuzzy MCDM technique with the application of fuzzy MCRAT. Furthermore, there are relatively few studies employing the MCRAT approach in the literature; therefore, this study will provide additional data and outcomes from this method to the literature. The findings present that the forklift with the code FLT-3 performed the best, whereas the forklift with the code FLT-2 had the worst performance, according to the fuzzy MCRAT technique. According to the comparison analysis, the fuzzy MCRAT produced the same results as the fuzzy ARAS and had a few subtle differences to fuzzy MARCOS.
