Pub Date : 2022-07-12DOI: 10.17535/crorr.2022.0003
Navid Kazemitash, H. Fazlollahtabar
Information Systems (IS) have turned into vital means for companies to survive in the contemporary technology-oriented environment. Subsequently, over the last decades, this has brought about the heavy investment of companies in ISs to guarantee high-quality products and services. Similarly, supplier selection (SS) plays an inescapable role in today’s business. In addition, there are several studies published showing the importance of the ISs in the SS problem. However, there has not been any work evaluating the effectiveness of ISs on the SS problem, including a comprehensive and up-to date SS model. Therefore, this study proposed a complete model including six criteria that are almost most important and shared in the literature: sustainability, reliability, resiliency, greenness, risk and cost, and 31 sub-criteria. Then the effectiveness of 10 ISs on the SS problem has been shown through using BWM in two consecutive stages, and then the model conducted in Emdadkhodro automotive company to show its practicality and accuracy.
{"title":"A Multidimensional Decision Making for Supplier Selection in the presence of Information Systems","authors":"Navid Kazemitash, H. Fazlollahtabar","doi":"10.17535/crorr.2022.0003","DOIUrl":"https://doi.org/10.17535/crorr.2022.0003","url":null,"abstract":"Information Systems (IS) have turned into vital means for companies to survive in the contemporary technology-oriented environment. Subsequently, over the last decades, this has brought about the heavy investment of companies in ISs to guarantee high-quality products and services. Similarly, supplier selection (SS) plays an inescapable role in today’s business. In addition, there are several studies published showing the importance of the ISs in the SS problem. However, there has not been any work evaluating the effectiveness of ISs on the SS problem, including a comprehensive and up-to date SS model. Therefore, this study proposed a complete model including six criteria that are almost most important and shared in the literature: sustainability, reliability, resiliency, greenness, risk and cost, and 31 sub-criteria. Then the effectiveness of 10 ISs on the SS problem has been shown through using BWM in two consecutive stages, and then the model conducted in Emdadkhodro automotive company to show its practicality and accuracy.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49617580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-12DOI: 10.17535/crorr.2022.0001
Sema Cebeci, Omer Faruk Baykoc
Substation optimization involves positioning a substation(s) at the most suitable point with minimum cost. In this study, multiple data were collected from the Turkish Electric Distribution Incorporated Company (TEİAŞ) for the substation in the Eryaman region. The substations will be placed at straight points. Using the capacity of the substations, power, voltage drops, and service interruptions were calculated for a 10-year planning period. Each criterion represents one constraint. The established model serves the following objectives: determining the optimal point and size of the substations in the given planning period by minimizing costs and satisfying the demand of the sectors without service interruption. The model is solved in GAMS and optimal results are obtained. Our results demonstrate that by installing the two substations at the given locations the energy demand of the Eryaman region will be satisfied. To test the model’s applicability for larger systems, the number and the capacity of the substations and the transformers are increased. The results show that optimality has been maintained and that the model remains valid.
{"title":"Determining the Optimal Location of Substations for Electric Distribution","authors":"Sema Cebeci, Omer Faruk Baykoc","doi":"10.17535/crorr.2022.0001","DOIUrl":"https://doi.org/10.17535/crorr.2022.0001","url":null,"abstract":"Substation optimization involves positioning a substation(s) at the most suitable point with minimum cost. In this study, multiple data were collected from the Turkish Electric Distribution Incorporated Company (TEİAŞ) for the substation in the Eryaman region. The substations will be placed at straight points. Using the capacity of the substations, power, voltage drops, and service interruptions were calculated for a 10-year planning period. Each criterion represents one constraint. The established model serves the following objectives: determining the optimal point and size of the substations in the given planning period by minimizing costs and satisfying the demand of the sectors without service interruption. The model is solved in GAMS and optimal results are obtained. Our results demonstrate that by installing the two substations at the given locations the energy demand of the Eryaman region will be satisfied. To test the model’s applicability for larger systems, the number and the capacity of the substations and the transformers are increased. The results show that optimality has been maintained and that the model remains valid.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46021616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-12DOI: 10.17535/crorr.2022.0002
Mustapha Kaci, Sonia Radjef
In this paper, a new approach is developed to solve multi-level multi-objective linear programming problems (ML-MOLPP), by providing the set of all the compromises without taking into account the hierarchy of the problem. A simple criterion is developed for testing whether a given feasible solution is a possible compromise or not. We describe a method used to generate the set of all the compromises, based on the P.L. Yu and M. Zeleny’s method. Theoretical results, numerical example and flow diagram are reported.
{"title":"The set of all the possible compromises of a multi-level multi-objective linear programming problem","authors":"Mustapha Kaci, Sonia Radjef","doi":"10.17535/crorr.2022.0002","DOIUrl":"https://doi.org/10.17535/crorr.2022.0002","url":null,"abstract":"In this paper, a new approach is developed to solve multi-level multi-objective linear programming problems (ML-MOLPP), by providing the set of all the compromises without taking into account the hierarchy of the problem. A simple criterion is developed for testing whether a given feasible solution is a possible compromise or not. We describe a method used to generate the set of all the compromises, based on the P.L. Yu and M. Zeleny’s method. Theoretical results, numerical example and flow diagram are reported.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45768881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-12DOI: 10.17535/crorr.2022.0006
K. Kiran
In this paper, it is aimed to computationally conduct a performance benchmarking for the steepest descent and the three well-known conjugate gradient methods (i.e., Fletcher-Reeves, Polak-Ribiere and Hestenes-Stiefel) along with six different step length calculation techniques/conditions, namely Backtracking, Armijo-Backtracking, Goldstein, weakWolfe, strongWolfe, Exact local minimizer in the unconstrained optimization. To this end, a series of computational experiments on a test function set is completed using the combinations of those optimization methods and line search conditions. During these experiments, the number of function evaluations for every iteration are monitored and recorded for all the optimization method-line search condition combinations. The total number of function evaluations are then set a performance measure when the combination in question converges to the functions minimums within the given convergence tolerance. Through those data, the performance and data profiles are created for all the optimization method-line search condition combinations with the purpose of a reliable and an efficient benchmarking. It has been determined that, for this test function set, the steepest descent-Goldstein combination is the fastest one whereas the steepest descent-exact local minimizer is the most robust one with a high convergence accuracy. By making a trade-off between convergence speed and robustness, it has been identified that the steepest descent-weak Wolfe combination is the optimal choice for this test function set.
{"title":"A Benchmark Study on Steepest Descent and Conjugate Gradient Methods-Line Search Conditions Combinations in Unconstrained Optimization","authors":"K. Kiran","doi":"10.17535/crorr.2022.0006","DOIUrl":"https://doi.org/10.17535/crorr.2022.0006","url":null,"abstract":"In this paper, it is aimed to computationally conduct a performance benchmarking for the steepest descent and the three well-known conjugate gradient methods (i.e., Fletcher-Reeves, Polak-Ribiere and Hestenes-Stiefel) along with six different step length calculation techniques/conditions, namely Backtracking, Armijo-Backtracking, Goldstein, weakWolfe, strongWolfe, Exact local minimizer in the unconstrained optimization. To this end, a series of computational experiments on a test function set is completed using the combinations of those optimization methods and line search conditions. During these experiments, the number of function evaluations for every iteration are monitored and recorded for all the optimization method-line search condition combinations. The total number of function evaluations are then set a performance measure when the combination in question converges to the functions minimums within the given convergence tolerance. Through those data, the performance and data profiles are created for all the optimization method-line search condition combinations with the purpose of a reliable and an efficient benchmarking. It has been determined that, for this test function set, the steepest descent-Goldstein combination is the fastest one whereas the steepest descent-exact local minimizer is the most robust one with a high convergence accuracy. By making a trade-off between convergence speed and robustness, it has been identified that the steepest descent-weak Wolfe combination is the optimal choice for this test function set.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45591840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-12DOI: 10.17535/crorr.2022.0007
Adrian Alajkovic, Mario Brčič, Viktorija Ivandic, Luka Bubalo, Mihael Koncic, Mihael Kovac
Goods from warehouses must be scheduled in advance, prepared, routed, and delivered to shops. At least three systems directly interact within such a process: warehouse workforce scheduling, delivery scheduling, and routing system. Ideally, the whole problem with the preceding inventory management (restocking) would be solved in one optimization pass. In order to make the problem simpler, we first decompose the total problem by isolating the delivery scheduling. Then we connect the optimization model to the rest of the system by workload balancing goal that is a surrogate ofcoordination and criterion for the system robustness. This paper presents the practical application of top-down discrete optimization that streamlines operations and enables better reactivity to changes in circumstances. We search for repetitive weekly delivery patterns that balance the daily warehouse and transportation utilization in the absence of capacity constraints. Delivery patterns are optimized for the quality criteria regarding specific store-warehouse pair types, with a special focus on fresh food delivery that aims at reducing inventory write-offs due to aging. The previous setup included semimanual scheduling based on templates, historical prototypes, and domain knowledge. We have found that the system augmented with the new automated delivery scheduling system brings an improvement of 3% in the performance measure as well as speed in adjusting to the changes, such was the case with changes in policies during COVID-19 lockdowns.
{"title":"Delivery pattern planning in retailing with transport and warehouse workload balancing","authors":"Adrian Alajkovic, Mario Brčič, Viktorija Ivandic, Luka Bubalo, Mihael Koncic, Mihael Kovac","doi":"10.17535/crorr.2022.0007","DOIUrl":"https://doi.org/10.17535/crorr.2022.0007","url":null,"abstract":"Goods from warehouses must be scheduled in advance, prepared, routed, and delivered to shops. At least three systems directly interact within such a process: warehouse workforce scheduling, delivery scheduling, and routing system. Ideally, the whole problem with the preceding inventory management (restocking) would be solved in one optimization pass. In order to make the problem simpler, we first decompose the total problem by isolating the delivery scheduling. Then we connect the optimization model to the rest of the system by workload balancing goal that is a surrogate ofcoordination and criterion for the system robustness. This paper presents the practical application of top-down discrete optimization that streamlines operations and enables better reactivity to changes in circumstances. We search for repetitive weekly delivery patterns that balance the daily warehouse and transportation utilization in the absence of capacity constraints. Delivery patterns are optimized for the quality criteria regarding specific store-warehouse pair types, with a special focus on fresh food delivery that aims at reducing inventory write-offs due to aging. The previous setup included semimanual scheduling based on templates, historical prototypes, and domain knowledge. We have found that the system augmented with the new automated delivery scheduling system brings an improvement of 3% in the performance measure as well as speed in adjusting to the changes, such was the case with changes in policies during COVID-19 lockdowns.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41367523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.17535/crorr.2021.0007
Anuja Shaktawat, S. Vadhera
Assessment of hydropower projects with respect to sustainability criteria is a multidimensional and complex issue. It requires considering technical, environmental, and social parameters instead of purely economic ones in decision making for energy planning. The flexibility to consider several criteria and objectives simultaneously leads to the use of multicriteria decision making (MCDM) methods which are well accepted in the field of energy planning. This paper aims at applying MCDM methods in facilitating the decision makers to select the most sustainable hydropower projects in the Indian region by making real and logical choices based on eight important criteria selected from the literature that are compatible with sustainable development. To comprehensively rank hydropower projects three MCDM methods are applied i.e., the technique for order of preference by similarity to ideal solution (TOPSIS), preference ranking organization method for enrichment evaluations (PROMETHEE II), and elimination and choice translating reality (ELECTRE III). Analytic hierarchy process (AHP) is used to calculate the weights of criteria. All three methods are well adapted for sustainability assessment and ranked Sharavathi (A9), Bhakra (A2), and Upper Indravati (A13) to be the most sustainable hydropower projects in India under the selected criteria. The study will be helpful in sustainable energy planning of hydropower projects with similar geographical conditions.
{"title":"Ranking of hydropower projects based on sustainability criteria in India using multicriteria decision making methods","authors":"Anuja Shaktawat, S. Vadhera","doi":"10.17535/crorr.2021.0007","DOIUrl":"https://doi.org/10.17535/crorr.2021.0007","url":null,"abstract":"Assessment of hydropower projects with respect to sustainability criteria is a multidimensional and complex issue. It requires considering technical, environmental, and social parameters instead of purely economic ones in decision making for energy planning. The flexibility to consider several criteria and objectives simultaneously leads to the use of multicriteria decision making (MCDM) methods which are well accepted in the field of energy planning. This paper aims at applying MCDM methods in facilitating the decision makers to select the most sustainable hydropower projects in the Indian region by making real and logical choices based on eight important criteria selected from the literature that are compatible with sustainable development. To comprehensively rank hydropower projects three MCDM methods are applied i.e., the technique for order of preference by similarity to ideal solution (TOPSIS), preference ranking organization method for enrichment evaluations (PROMETHEE II), and elimination and choice translating reality (ELECTRE III). Analytic hierarchy process (AHP) is used to calculate the weights of criteria. All three methods are well adapted for sustainability assessment and ranked Sharavathi (A9), Bhakra (A2), and Upper Indravati (A13) to be the most sustainable hydropower projects in India under the selected criteria. The study will be helpful in sustainable energy planning of hydropower projects with similar geographical conditions.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49327782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-29DOI: 10.17535/crorr.2021.0006
Josip Arnerić
The seasonal and trend decomposition of a univariate time-series based on Loess (STL) has several advantages over traditional methods. It deals with any periodicity length, enables seasonality change over time, allows missing values, and is robust to outliers. However, it does not handle trading day variation by default. This study offers how to deal with this drawback. By applying multiple STL decompositions of 15-minute trading volume observations, three seasonal patterns were discovered: hourly, daily, and monthly. The research objective was not only to discover if multi-seasonality exists in trading volume by employing high-frequency data but also to determine which seasonal component is most time-varying, and which seasonal components are the strongest or weakest when comparing the variation in the magnitude between them. The results indicate that hourly seasonality is the strongest, while daily seasonality changes the most. A better understanding of trading volume multiple patterns can be very helpful in improving the performance of trading algorithms.
{"title":"Multiple STL decomposition in discovering a multi-seasonality of intraday trading volume","authors":"Josip Arnerić","doi":"10.17535/crorr.2021.0006","DOIUrl":"https://doi.org/10.17535/crorr.2021.0006","url":null,"abstract":"The seasonal and trend decomposition of a univariate time-series based on Loess (STL) has several advantages over traditional methods. It deals with any periodicity length, enables seasonality change over time, allows missing values, and is robust to outliers. However, it does not handle trading day variation by default. This study offers how to deal with this drawback. By applying multiple STL decompositions of 15-minute trading volume observations, three seasonal patterns were discovered: hourly, daily, and monthly. The research objective was not only to discover if multi-seasonality exists in trading volume by employing high-frequency data but also to determine which seasonal component is most time-varying, and which seasonal components are the strongest or weakest when comparing the variation in the magnitude between them. The results indicate that hourly seasonality is the strongest, while daily seasonality changes the most. A better understanding of trading volume multiple patterns can be very helpful in improving the performance of trading algorithms.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47468706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-29DOI: 10.17535/crorr.2021.0002
M. Hell, Ante Knežević, Z. Babic
One of the main goals of any higher education system is developing students’ critical thinking. Critical thinking contributes to decision-making and problem-solving skills, whether for professional or personal purposes. Teaching, on the other hand, has been largely influenced by new information technologies which have changed some of the related concepts and tools. The quality of the teaching process is multidimensional which is why no single unit of its measurement has been developed yet, in spite of numerous surveys that have collected massive amounts of information from the existing practice. The aim of this paper is to establish the most appropriate higher education quality measure, which would consist of all relevant indicators from different aspects, including implementation of critical thinking in the teaching process, weighting by two main groups of participants in the process - teachers and students. Multicriteria decision-making has been recognised as a suitable framework for achieving this goal. In fact, the problem of measuring teaching staff performance could be set up as a classical problem of multicriteria decision-making. With this approach the quality of teaching process should be simultaneously estimated by n quality assurance criteria and in accordance with those criteria m alternatives (professors) would be ranked or estimated.
{"title":"Multicriteria analysis of the quality of teaching process in higher education: how to evaluate implementation of critical thinking","authors":"M. Hell, Ante Knežević, Z. Babic","doi":"10.17535/crorr.2021.0002","DOIUrl":"https://doi.org/10.17535/crorr.2021.0002","url":null,"abstract":"One of the main goals of any higher education system is developing students’ critical thinking. Critical thinking contributes to decision-making and problem-solving skills, whether for professional or personal purposes. Teaching, on the other hand, has been largely influenced by new information technologies which have changed some of the related concepts and tools. The quality of the teaching process is multidimensional which is why no single unit of its measurement has been developed yet, in spite of numerous surveys that have collected massive amounts of information from the existing practice. The aim of this paper is to establish the most appropriate higher education quality measure, which would consist of all relevant indicators from different aspects, including implementation of critical thinking in the teaching process, weighting by two main groups of participants in the process - teachers and students. Multicriteria decision-making has been recognised as a suitable framework for achieving this goal. In fact, the problem of measuring teaching staff performance could be set up as a classical problem of multicriteria decision-making. With this approach the quality of teaching process should be simultaneously estimated by n quality assurance criteria and in accordance with those criteria m alternatives (professors) would be ranked or estimated.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45963059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.17535/crorr.2021.0015
Ana Kundid Novokmet
Resolving the puzzle which financial indicators persistently indicate severe disruptions in the business of banking, is of the utmost importance for prudential authorities. Thus, the intent of this paper is to outline microeconomic determinants of bankruptcies within the banking sectors of the EU-15 countries and to clarify the role of bank capital in it. Namely, the bank capital regulation is designed as both, ex-ante (bankruptcy prevention) and ex-post (bankruptcy costs reducer) regulatory instrument. Backward stepwise logistic regression was applied on the Bankscope data sample of around 60 commercial banks in the period that preceded the global financial crisis. Estimations were obtained for the year in which a certain bank bankrupted as well as for each year over the five-year period prior to the bankruptcy. Research findings confirm that a number of financial indicators, such as asset quality and liquidity indicators could serve as early warning signals of bank failures even five years before the bankruptcy. The results for bank capital ratios were non-persistent regarding their sign and significance in the year preceding the bankruptcy and several years prior to bankruptcy. Finally, the most convincing results speak in favor of the too-big-to-fail phenomenon, as bank size explains the most of its survival odds.
{"title":"The role of capital in bank failures across EU-15 countries: backward LR approach","authors":"Ana Kundid Novokmet","doi":"10.17535/crorr.2021.0015","DOIUrl":"https://doi.org/10.17535/crorr.2021.0015","url":null,"abstract":"Resolving the puzzle which financial indicators persistently indicate severe disruptions in the business of banking, is of the utmost importance for prudential authorities. Thus, the intent of this paper is to outline microeconomic determinants of bankruptcies within the banking sectors of the EU-15 countries and to clarify the role of bank capital in it. Namely, the bank capital regulation is designed as both, ex-ante (bankruptcy prevention) and ex-post (bankruptcy costs reducer) regulatory instrument. Backward stepwise logistic regression was applied on the Bankscope data sample of around 60 commercial banks in the period that preceded the global financial crisis. Estimations were obtained for the year in which a certain bank bankrupted as well as for each year over the five-year period prior to the bankruptcy. Research findings confirm that a number of financial indicators, such as asset quality and liquidity indicators could serve as early warning signals of bank failures even five years before the bankruptcy. The results for bank capital ratios were non-persistent regarding their sign and significance in the year preceding the bankruptcy and several years prior to bankruptcy. Finally, the most convincing results speak in favor of the too-big-to-fail phenomenon, as bank size explains the most of its survival odds.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67614146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to cluster Turkish cities based on their local agricultural production and rank them in terms of performance by combining cluster analysis and multi-criteria decision-making (MCDM) methods. In this context, a three-phase methodology is developed. In the first phase, Ward's method is utilized to cluster cities according to agricultural production characteristics. In the second phase, the objective criteria weights are determined using the Criteria Importance Through Intercriteria Correlation technique (CRITIC). In the third phase, to rank the clusters in terms of performance, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is applied. Due to the results, the 81 cities are divided into six clusters in terms of agricultural production features. The cluster with the highest performance is Cluster 6, in which Konya is alone. Cluster 4, which includes Antalya and Mersin, follows this cluster. Cluster 1 with 25 cities and Cluster 2 with 19 cities are the clusters with the lowest results. The results show that only a few cities such as Konya, Antalya, and Mersin are generating more than tens of them in combination. These findings reveal that local governments should reconsider their agricultural programs and develop new strategies under the direction of the central government.
本研究旨在根据当地农业生产对土耳其城市进行聚类，并结合聚类分析和多标准决策(MCDM)方法对其绩效进行排名。在这种情况下，开发了一种三阶段方法。第一阶段，根据农业生产特点，采用Ward的方法对城市进行聚类。在第二阶段，使用标准重要性通过标准间相关技术(critical)确定客观标准权重。在第三阶段，根据性能对聚类进行排序，应用TOPSIS (Order Preference Technique of Similarity to Ideal Solution)方法。根据研究结果，将81个城市按农业生产特征划分为6个集群。性能最高的集群是集群6,Konya独自在其中。包括安塔利亚和梅尔辛在内的第4组紧随其后。25个城市的集群1和19个城市的集群2是结果最低的集群。结果显示，只有科尼亚、安塔利亚和梅尔辛等少数几个城市的温室气体排放量总和超过数十个。这些发现表明，地方政府应重新考虑其农业规划，并在中央政府的指导下制定新的战略。
{"title":"Integrating cluster analysis with MCDM methods for the evaluation of local agricultural production","authors":"Omurbek Nuri, Onur Akcakaya, Ezgi Dilan Urmak Akcakaya","doi":"10.17535/crorr.2021.0009","DOIUrl":"https://doi.org/10.17535/crorr.2021.0009","url":null,"abstract":"This study aims to cluster Turkish cities based on their local agricultural production and rank them in terms of performance by combining cluster analysis and multi-criteria decision-making (MCDM) methods. In this context, a three-phase methodology is developed. In the first phase, Ward's method is utilized to cluster cities according to agricultural production characteristics. In the second phase, the objective criteria weights are determined using the Criteria Importance Through Intercriteria Correlation technique (CRITIC). In the third phase, to rank the clusters in terms of performance, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is applied. Due to the results, the 81 cities are divided into six clusters in terms of agricultural production features. The cluster with the highest performance is Cluster 6, in which Konya is alone. Cluster 4, which includes Antalya and Mersin, follows this cluster. Cluster 1 with 25 cities and Cluster 2 with 19 cities are the clusters with the lowest results. The results show that only a few cities such as Konya, Antalya, and Mersin are generating more than tens of them in combination. These findings reveal that local governments should reconsider their agricultural programs and develop new strategies under the direction of the central government.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67614014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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