{"title":"60 years of OR in Slovenia: development from a first conference to a vibrant community.","authors":"Janez Povh, Lidija Zadnik Stirn, Janez Žerovnik","doi":"10.1007/s10100-023-00859-z","DOIUrl":"10.1007/s10100-023-00859-z","url":null,"abstract":"<p><p>The paper provides a short history of the operations research (OR) in Slovenia. Some major events and achievements are mentioned and briefly discussed. The period starts in the year 1964, with the first symposium on OR in Slovenia. In the following decades, there were several important milestones: (1) the start of master's and Ph.D. studies in OR in 1974, (2) the establishment of SSI-SSOR in 1992 (SSI-SSOR stands for the Slovenian Section for Operational Research within the Slovenian Society of Informatics), and (3) the start of a series of symposia in operations research in 1993. All these activities resulted in an extensive list of publications, projects, and monographs and international connections, proving that OR is still a vibrant field, which facilitates knowledge transfer from pure research to business applications.</p>","PeriodicalId":9689,"journal":{"name":"Central European Journal of Operations Research","volume":" ","pages":"1-10"},"PeriodicalIF":1.7,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250842/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9716201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimation of the potential GDP by a new robust filter method.","authors":"Éva Gyurkovics, Tibor Takács","doi":"10.1007/s10100-023-00851-7","DOIUrl":"10.1007/s10100-023-00851-7","url":null,"abstract":"<p><p>The first purpose of this paper is to propose a theoretically new robust filter method to estimate non-observable macroeconomic indicators. The second purpose is to apply the proposed method to estimate the Hungarian potential GDP in 2000-2021. The novelty of the proposed filter method is that - unlike papers published so far - it does not require the stability of the dynamic model, only a partial stability condition must be satisfied. Moreover, such time-dependent uncertainties and nonlinearities can arise in the model that satisfy a general quadratic constraint. An important advantage of the proposed robust filter method over the traditional Kalman filter is that no stochastic assumptions is needed that may not be valid for the problem at hand. The proposed filter method has never been applied to estimate the potential GDP. To estimate the Hungarian potential GDP, the proposed method is applied using uni-, bi- and trivariate models. Estimations up to 2021 has not been published yet for the Hungarian economy. The examined period includes both the financial world crisis and the Covid-19 crisis. The results of the different models are consistent. It turned out that the economic policy was very procyclical after 2012, and the GDP gap was still positive during and also after the Covid-19 crisis.</p>","PeriodicalId":9689,"journal":{"name":"Central European Journal of Operations Research","volume":" ","pages":"1-25"},"PeriodicalIF":1.7,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10044105/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10092434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dmitri Blueschke, Viktoria Blueschke-Nikolaeva, Reinhard Neck
{"title":"Should fiscal policies be centralized in a monetary union? A dynamic game approach.","authors":"Dmitri Blueschke, Viktoria Blueschke-Nikolaeva, Reinhard Neck","doi":"10.1007/s10100-023-00846-4","DOIUrl":"10.1007/s10100-023-00846-4","url":null,"abstract":"<p><p>In this paper we analyze dynamic interactions in a monetary union with three fiscal players (the governments of the countries concerned) and a common central bank in the presence of exogenous shocks. The model is calibrated for the euro area and includes a fiscally more solid core block denoted as country 1 as well as a fiscally less solid periphery block represented by countries 2 and 3. Introducing two periphery countries allows us to capture different attitudes of the periphery countries towards the goal of sustainable fiscal performance. Moreover, different coalition scenarios are modelled in this study including a fiscal union, a coalition of periphery countries and a coalition of fiscal-stability oriented countries. The exogenous shocks are calibrated in such a way as to describe the last major crises in the euro area, namely the financial crisis, the European sovereign debt crisis, the Covid-19 crisis, and the Ukraine war (energy price) crisis. Using the OPTGAME algorithm we calculate a cooperative Pareto and non-cooperative feedback Nash equilibrium solutions for the modelled scenarios. The fully cooperative solution yields the best results. The different non-cooperative scenarios allow insights into the underlying trade-off between economic growth, price stability and fiscal stability.</p>","PeriodicalId":9689,"journal":{"name":"Central European Journal of Operations Research","volume":" ","pages":"1-20"},"PeriodicalIF":1.7,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10010968/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9680220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Éva Orbán-Mihálykó, Csaba Mihálykó, László Gyarmati
{"title":"Evaluating the capacity of paired comparison methods to aggregate rankings of separate groups.","authors":"Éva Orbán-Mihálykó, Csaba Mihálykó, László Gyarmati","doi":"10.1007/s10100-023-00839-3","DOIUrl":"10.1007/s10100-023-00839-3","url":null,"abstract":"<p><p>Ranking and rating methods have outstanding significance in sports, mainly due to their capacity to predict results. In this paper we turn to their capacity to aggregate separate groups' rankings based on a small piece of information. We investigate under which conditions two or more separate groups can be trustworthily interwoven applying Thurstone motivated methods and an AHP based method. A theorem is proved which guarantees adequate unified ranking based on some links between the groups. We also analyse the robustness of the results.</p>","PeriodicalId":9689,"journal":{"name":"Central European Journal of Operations Research","volume":" ","pages":"1-21"},"PeriodicalIF":1.7,"publicationDate":"2023-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9924872/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10766721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Georgi Angelov, Raimund Kovacevic, Nikolaos I Stilianakis, Vladimir M Veliov
{"title":"Optimal vaccination strategies using a distributed model applied to COVID-19.","authors":"Georgi Angelov, Raimund Kovacevic, Nikolaos I Stilianakis, Vladimir M Veliov","doi":"10.1007/s10100-022-00819-z","DOIUrl":"https://doi.org/10.1007/s10100-022-00819-z","url":null,"abstract":"<p><p>Optimal distribution of vaccines to achieve high population immunity levels is a desirable aim in infectious disease epidemiology. A distributed optimal control epidemiological model that accounts for vaccination was developed and applied to the case of the COVID-19 pandemic. The model proposed here is nonstandard and takes into account the heterogeneity of the infected sub-population with respect to the time since infection, which is essential in the case of COVID-19. Based on the epidemiological characteristics of COVID-19 we analyze several vaccination scenarios and an optimal vaccination policy. In particular we consider random vaccination over the whole population and the prioritization of age groups such as the elderly and compare the effects with the optimal solution. Numerical results of the model show that random vaccination is efficient in reducing the overall number of infected individuals. Prioritization of the elderly leads to lower mortality though. The optimal strategy in terms of total deaths is early prioritization of those groups having the highest contact rates.</p>","PeriodicalId":9689,"journal":{"name":"Central European Journal of Operations Research","volume":"31 2","pages":"499-521"},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9461439/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9155908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marcin Suder, Tomasz Wójtowicz, Rafał Kusa, Henryk Gurgul
{"title":"Challenges for ATM management in times of market variability caused by the COVID-19 pandemic crisi.","authors":"Marcin Suder, Tomasz Wójtowicz, Rafał Kusa, Henryk Gurgul","doi":"10.1007/s10100-022-00816-2","DOIUrl":"https://doi.org/10.1007/s10100-022-00816-2","url":null,"abstract":"<p><p>One of the most important issues related to the management of an Automatic Teller Machine (ATM) network is the correct forecasting of the demand for cash. Typically, this demand, expressed as the value or number of ATM withdrawals, has some regularities that can be used to evaluate future values for these variables. However, forecasting becomes a challenge when a crisis occurs that could affect the behavior of ATM users. In this context, it is important to identify how the development of the crisis and the various information concerning it may affect people's attitudes to cash. This study aims to examine the impact of the COVID-19 pandemic on the behavior of ATM customers. On the basis of daily data from 81 ATMs, we analyze the changes in the value and number of withdrawals just before and during the COVID-19 pandemic in Poland. An event study analysis allows us to determine precisely the moments in which changes in user behavior took place. This means that it is also possible to examine the reaction of ATM users to the announcement and implementation of the pandemic restrictions, and to determine the factors that had an impact on the change in people's attitude to cash. Such a study is also important from a sociological point of view, as it enables one to understand people's reactions to the emerging crisis. Hence, its results may be useful not only for managers of ATM networks, but also for various authorities and policy makers.</p>","PeriodicalId":9689,"journal":{"name":"Central European Journal of Operations Research","volume":"31 2","pages":"445-465"},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648898/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9212527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maria Cristina Arcuri, Gino Gandolfi, Fabrizio Laurini
{"title":"Robust portfolio optimization for banking foundations: a CVaR approach for asset allocation with mandatory constraints.","authors":"Maria Cristina Arcuri, Gino Gandolfi, Fabrizio Laurini","doi":"10.1007/s10100-022-00821-5","DOIUrl":"https://doi.org/10.1007/s10100-022-00821-5","url":null,"abstract":"<p><p>This paper focuses on an innovative asset allocation strategy for risk averse investors who operate on very long-time horizons, such as endowments and the Italian foundations of banking origin (FBOs). FBOs play a pivotal role in supporting economic, financial and sustainable growth in the long term. In the search for a model which optimizes FBO portfolio choices in the light of regulatory constraints on their sizeable investable portfolio, we highlight the risk-adjusted performances obtained using a robust conditional VaR (R-CVaR) approach-assuming different risk profiles-which corrects some of the Markowitz approach pitfalls and accounts for tail risk. We compare the two models using a buy and hold strategy: the R-CVaR delivers better returns than a Markowitz portfolio, even when those performances are measured with a mean-variance metric.</p>","PeriodicalId":9689,"journal":{"name":"Central European Journal of Operations Research","volume":"31 2","pages":"557-581"},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614752/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9166131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A goal programming model for two-stage COVID19 test sampling centers location-allocation problem.","authors":"Yusuf Kuvvetli","doi":"10.1007/s10100-022-00797-2","DOIUrl":"https://doi.org/10.1007/s10100-022-00797-2","url":null,"abstract":"<p><p>The COVID19 virus, which first appeared in Wuhan, China, and has become a pandemic in a short time, has threatened the health system in many countries and put it into a bottleneck. Simultaneously, the second wave's expectation spread it necessary to plan the health services correctly. In this study, a location-allocation problem in the two-echelon system, which considers different test sampling alternatives, is examined to obtain test sampling centers' location-allocation. The problem is modeled as a goal programming model to create a network that tests samples at a minimum total distance, establishes a minimum number of test sampling centers, and reaches the distance of PCR test laboratories at minimum total distances. The proposed model is applied as a case study for the two cities located in Turkey, and the obtained locations and inventory levels of each location are presented. Besides, different scenarios are examined to understand the structure of the model. As a result, only testing in hospitals will increase the risk of contamination. Since testing at all points will not be possible administratively, it will be ensured that the most appropriate location-allocation decisions are taken by considering all the proposed model's objectives.</p>","PeriodicalId":9689,"journal":{"name":"Central European Journal of Operations Research","volume":"31 1","pages":"1-20"},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034448/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10569379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A deterministic model for the inventory policy of countries for procurement of vaccines.","authors":"Aysun Pınarbaşı, Béla Vizvári","doi":"10.1007/s10100-022-00831-3","DOIUrl":"10.1007/s10100-022-00831-3","url":null,"abstract":"<p><p>The countries are the units that procure the vaccines during the COVID-19 pandemic. The delivered quantities are huge. The countries must bear the inventory holding cost according to the variation of stock quantities. This cost depends on the speed of the vaccination in the country. This speed is time-dependent. The vaccinated portion of the population can be approximated by the cumulative distribution function of the Cauchy distribution. A model is provided for determining the minimal-cost inventory policy and its optimality conditions are provided. The model is solved for 20 countries for different numbers of procurements. The results reveal the individual behavior of each country.</p>","PeriodicalId":9689,"journal":{"name":"Central European Journal of Operations Research","volume":" ","pages":"1-13"},"PeriodicalIF":1.7,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734365/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10399017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distorted probability operator for dynamic portfolio optimization in times of socio-economic crisis.","authors":"Kerem Uğurlu, Tomasz Brzeczek","doi":"10.1007/s10100-022-00834-0","DOIUrl":"10.1007/s10100-022-00834-0","url":null,"abstract":"<p><p>A robust optimal control of discrete time Markov chains with finite terminal <i>T</i> and bounded costs or wealth using probability distortion is studied. The time inconsistency of these distortion operators and hence its lack of dynamic programming are discussed. Due to that, dynamic versions of these operators are introduced, and its availability for dynamic programming is demonstrated. Based on dynamic programming algorithm, existence of the optimal policy is justified and an application of the theory to portfolio optimization along with a numerical study is also presented.</p>","PeriodicalId":9689,"journal":{"name":"Central European Journal of Operations Research","volume":" ","pages":"1-18"},"PeriodicalIF":1.7,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734642/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10399018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}