International Journal of Industrial Engineering & Production Research

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Abstract
Background: In this paper healthcare condition of 31 countries that are the members of Organization for Economic and Co-operative Development (OECD) is measured by considering 14 indicators that are relevant to three main pillars of sustainable development.
Method: To estimate the efficiency scores, Principle Component Analysis-Data Envelopment Analysis PCA-DEA additive model in both forms of envelopment and multiplier is used to determine efficiency scores and also to define benchmarks and improvement plan for the inefficient countries. Then Decision Tree Analysis is also used to realize that which factors were the most influential ones to make a county an efficient Decision Making Unit (DMU).
Results: According to the PCA-DEA additive model, among 31 OECD countries, 16 countries have become inefficient, that USA have taken the lowest efficiency score, and among efficient countries Iceland could be considered as a paragon which has the highest frequency between the countries that are defined as the benchmarks. Decision tree analysis also show that exposure to PM2.5 is an influential factor on the efficiency status of countries.
Conclusion: This research gives an insight about the sustainable development and healthcare system and show the impressive effect of environmental and social factors like: exposure to PM2.5 and water quality, population insurance coverage, and AIDS on the healthcare efficiency of OECD countries

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This paper aims to conduct a sociological survey and the results of the formation of theoretical and methodological principles and practical recommendations for improving management decisions in urban passenger transport. We use the analytical economic methodology to analyse the transport industry of Ukraine; to investigate the theoretical and methodological principles of the compensation policy formation in urban public transport. We use expert evaluation methods to check the relevant factors while deciding to use or not use public transport. This study has proved that when making management decisions, it is necessary to take into account both the opinion of users and the opinion of experts; none of these opinions should prevail over the other, and therefore decisions should be made based on a balanced assessment. The authors identified 18 factors that have the most significant influence when deciding on the use of passenger transport; conducted a study twice on the importance of each factor, highlighted the impact of each of them. The authors also proposed theoretical and methodological developments that can be used to improve compensation policy in the field of passenger transportation. With this article, we show that when researching, it is necessary to take into account both the opinion of direct participants and experts in this industry it is this tandem that will allow developing the most relevant recommendations for making managerial decisions

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The problems of efficient use of natural resources capacity in conditions of administrative and territorial reform affect the local level in the first place, in particular due to the fact that most communities do not have information about what resources they possess and how to use them properly for the development of Consolidated Territorial Communities (CTCs). The paper provides the calculations of integral index of CTCs’ natural resources capacity, which includes a certain group of sub-indices, namely the budget efficiency of the use of natural resources capacity; concentration of natural resources; provision of population with resources; rent payment. The analysis of the use of natural resources capacity to fill a CTC’s budget is conducted; concentration of natural resources at a CTC’s territory is determined; provision of a CTC’s population with natural resources is calculated; main aspects of rent payment that provides most revenues to local budgets are researched; the reserves of increase of communities’ natural resources capacity are revealed. The fact that community residents’ participation in control of the use of natural resources at their territory is essential for the community’s development is established.

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The article examines the impact of the dynamics of military expenditures, public debt, arms exports on the economic growth of the six countries (US, China, Russia, Israel, Ukraine, Moldova). The paper empirically tested the hypothesis of the possibility of further maintaining the positive macroeconomic effects in the process of confronting and persistent ‘hybrid’ military conflicts in either ‘hot’ or ‘frozen’ phases. The model characterizes the effects of factors and their change over time as well as features of the aggregate and the specificity of the development of individual objects. This allowed us to construct an object-dynamic regression model to determine the dependence of the development of national economies, namely GDP growth rates, for countries in a state of ‘hybrid’ war. The definition of these dependencies provides the opportunity to make recommendations on the use of adequate models of forecasting military expenditure for the country, which aims to achieve the goals of sustainable development under the increasing military threats.

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The aim of the study is to develop theoretical and methodological foundations, scientific and practical recommendations for improving the management and evaluation of public debt in Ukraine. The methodological foundations of the study are a systematic approach to the analysis of the relationship of financial phenomena and processes, creative reflection on the works of Ukrainian and foreign scientists on public debt, and its role in the context of macro-financial stabilization. Specific scientific theoretical and applied developments by the applicant were obtained using the following methods: graphical financial analysis (for studying the tendencies of debt formation); statistical-economic (to identify the impact of public debt on socio-economic processes); economic-mathematical modeling (to determine the relationship between public debt and macroeconomic indicators). On the basis of the research, it was revealed that the selected macroeconomic indicators have a significant impact on the government debt, and there are difficulties in coordinating international, regional economic integration or creating a broad separation based on stable international competitiveness. In order to test the impact of some macroeconomic indicators on the size of public debt, the World Bank's economic indicators have been taken as the main material for research. The analyzed period of time is 2001-2017 years.
The recommendations provided in this article will contribute to the development of public debt management and the associated increase in the living standards of the country's population. Based on the analysis conducted, there are every reason to assert that effective management of public debt can contribute to the development of the national economy. The scientific novelty of the study is to determine the impact of some macroeconomic indicators on public debt management at the current stage of Ukraine's development.

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In the era of digitization and globalization, national higher education systems face a number of challenges of the exogenous nature. Intensification of the competition in the educational services market necessitates the search for new ways of increasing the level of the competitiveness of universities and higher education systems as a whole. Development of theoretical, methodological and applied foundations of the formation and implementation of the integrated model of the competitive higher education becomes relevant. Application of the interdisciplinary approach to the research allows combining tools and techniques of different sciences. Economic, psycho-pedagogical, legal and managerial blocks are structural components of the proposed model of the competitive higher education. The effective implementation of such a model requires the involvement of a wide range of stakeholders and the impact of changing factors in the exogenous environment. Successful implementation of the model requires the existence of a developed regulatory framework harmonized with the provisions of the EU legislation. Practical implementation of the model concept proposed in this article will increase the competitiveness of the national higher education system in a highly competitive global scientific and educational area.

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Online learning is becoming an increasingly popular request. Many universities are moving fully or partially to this form of study. In the article, the authors considered what is virtual space, what are its criteria, as well as applicability for teaching students and passing research practices. Based on an analysis of existing virtual spaces (platforms), an experiment was conducted. The study showed that in real enterprises social skills develop better, while professional ones are worse; with the complete replacement of actual practice with virtual, social skills (such as teamwork, interpersonal communication, conflict resolution) practically do not develop. When introducing an external curator and uniting students into small groups (2-3 people) for a complex task fulfilment, it allowed strengthening the advantages of virtual practice in terms of developing professional competencies and to level its shortcomings, adding more "reality" The experiment showed that a virtual platform could be an alternative to passing research practice for students. Still, it must be corrected both at the beginning (for certain specialities of student training) and after a particular time. The main reasons that impede the development of the creation of both virtual spaces and the process of "virtualisation" of science as a whole are considered.

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The article examines foreign and domestic experience in organizing financial monitoring systems, systematizes the requirements for its implementation in Ukraine. The basic legal norms, enshrined in the joint directives of the European Parliament and of the Council of the EU, and underlying the national financial monitoring systems of the EU countries and Ukraine have been also analyzed. Taking into account the fact that the risk-based approach is the main basis for the effective implementation of all FATF recommendations, the nature of the risk of money laundering / financing of terrorism and the criteria for their assessment have been investigated. A scheme of improving the process of financial monitoring in a bank has been developed, as well as a number of measures have been proposed to raise the level of adhering to the legislation in the field of anti-money laundering and counter-terrorist financing by the banking sector.

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Data envelopment analysis (DEA) measures the relative efficiency of decision-making units (DMU) with multiple inputs and multiple outputs. In the case of considering a working team as a DMU, it often comprises multiple positions with several employees. However, there is no method to measure the efficiency of employees individually taking account the effect of teammates. This paper presents a model to measure the efficiency of employees in a way that they are fairly evaluated regarding their teammates’ relative performances. Moreover, the learning expectations and the effect of learning lost due to operation breaks are incorporated into the DEA model. This model is thus able to rank the employees working in each position that can then be utilized within award systems. The capabilities of the proposed model are then explored by a case study of 20 wells with 160 distinct operations in the South Pars gas field, which is the first application of DEA in the oil and gas wells drilling performance analysis.
 

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Several industrial products such as moulds, dies, engine block, automotive parts, etc., require machining of a large number of holes. Similarly, applications like boiler plates, food-business processing separator's, printed circuit boards, drum and trammel screens, etc., consist of a matrix of a large number of holes. Many machining operations, such as drilling, enlargement, tapping, or reaming, are needed to achieve the final sizes of individual holes, resulting in a variety of possible sequences to complete the hole-making operations. The major issue involved in hole-making operations is the tool travel time. It is often vital to determine the optimal sequence of operations so that the overall processing cost of hole-making operations can be minimized. In this work, thus an attempt is made to minimize the total tool travel of hole-making operations by using a relatively new optimization algorithm known as modified shuffled frog leaping for the determination of the optimal sequence of operations. Modification is made in the present shuffled frog-leaping algorithm by using three parameters with their positive values in order to widen the search capability of the existing algorithm. This paper considers three case studies of a rectangular matrix of holes to explain the proposed procedure. The outcomes of optimization with a modified shuffled frog-leaping algorithm are compared to those obtained with the genetic algorithm and the ant colony algorithm. Additionally, the higher dimensional problem of 20 x 20 rectangular matrix of holes is considered in this work. 

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This is a systematic literature review that discusses the contribution of fuzzy analytic (FA) and multi-criteria decision-making (MCDM) methods in classroom assessment. Due to lack of knowledge and not being exposed to the importance and benefits of using computational intelligence approaches such as FA and MCDM, not many educators apply such methods. The issue of how it operates is also the cause of educators still adopting conventional assessment methods. Classroom assessment involves the orientation of data in the form of divergent, multiple, fuzzy, and in terms of relation, so a more efficient approach of assessment is through modern mathematical methods and soft computing techniques as suggested by experts. This practical gap needs to be refined by providing a clear picture to educators about FA and MCDM as alternative assessment methods. Therefore, based on the PRISMA model, this systematic literature review is implemented to expose educators to the contribution of FA and MCDM in classroom assessment and conceptualize how to operate the method more easily and simply. Starting with article searches in several databases such as Google Scholar, ScienceDirect, and Elsevier using only specified keywords, 21 articles were selected for discussion after going through the steps of Identification, Screening, Eligibility and Included. Based on the findings, some aspects of assessment are very significant to be implemented using FA and MCDM, appropriate, more practical and show a meaningful contribution to classroom assessment. The conceptual model of the operation of FA and MCDM based on a summary of the workflow of selected studies can also help educators get insights and ideas to implement this alternative assessment method. This paper can prove that the computational intelligence approach greatly contributes to classroom assessment and if there are initiatives and facilitation implemented, surely educators can take advantage to strengthen the management and assessment of the classroom.
 

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One of the problems faced by insurance companies, especially for the business class that has a long tail, is the length of the claim settlement period until the claim is paid off because there are procedures that must be carried out, such as analyzing and justifying the claims submitted. The claims that are still in the process are divided into two, namely claims that reported but have not been settled (RBNS) and claims that incurred but have not been reported (IBNR). One method that is often used in estimating claim reserves is the Chain Ladder Method. However, this method is only able to estimate the IBNR claim reserve. In 2012, Martinez-Miranda, Nielsen, and Verrall developed a method that can generate predictions of claim reserves for IBNR and RBNS separately, namely the Double Chain Ladder method. This study aims to calculate the estimated reserves for claim using Double Chain Ladder (DCL) method. From the calculation results, it is found that the Double Chain Ladder (DCL) method can estimate the IBNR and RBNS claim reserves clearly and separately with a total estimated RBNS claim reserve is 101.492,792 (in million rupiahs) and the estimated IBNR claim reserve is 29.172,880 (in million rupiahs).
 

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Floating markets are not only a unique type of market but also sustainable tourist attractions. The literature focuses on both of floating market Covid-19 preventive measures and tourist’ satisfaction dimensions. The study is using quantitative research by concentrated on the tourist’s satisfaction of an anonymous Floating Market in Nakhon Pathom province. The research concentrated on the floating market Covid-19 preventive measures and the tourists’ satisfaction. The visitors certainly got great enjoyment from the floating market and this resulted in overall good experience for them better than most of them expected. The most important of Covid-19 preventive measures factors for the tourists were the provide clear entry, exit routes and screening point, merchants and customers always wear masks and provide hand washing points. The tourism component clearly overshadowed the destination shopping experience. The close proximity of the market to Bangkok contributes to the success of this market and the perceived satisfaction of the tourists
 

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The problem of family businesses in Saudi Arabia is noteworthy due to the large scope of family enterprises in Arab countries. Most organizations established in the Arab world are either state-owned or family owned. Many of these companies were formed by forefathering merchant families that dealt in vital ports along the Gulf and Red Sea coastlines. The current study's primary aim was to determine the challenges and benefits of family business success in Saudi Arabia. The purpose is to discover relevant literature on this critical issue to understand the barriers to the growing family businesses in Saudi Arabia and the potential advantages of family enterprises to the country's economy. The current study used the PRISMA statement 2020 to include and exclude records from the well-known databases Scopus and Web of Science to include high-quality documents. Additionally, the documents were examined via content analysis to determine the classifications of the study. VOS Viewer software analyzes the published literature' content—data clusters created on the text established to group the related ideas. The results indicate that three main themes were identified during the key term's occurrence research: entrepreneurship, family business, and performance. The findings of the study shows that family businesses are an essential aspect of the Saudi economy, contributing heavily to it. Such firms have lately received attention because of their critical role and contribution to job creation and employment, as well as the promotion and encouragement of entrepreneurship in their operations. Furthermore, results showed that it is commonly accepted that the involvement of a family in the business differentiates the family business. It is recommended that family companies be distinguished by their behaviour, which is based on the firm's objective, vision, and mission.
 

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The COVID-19 pandemic forced Malaysian Higher Education Institutions to pursue online and distance learning. This study aimed to gain insight into the pre-university students’ acceptance and intention to use the Microsoft Teams (MS Teams) application for online learning platforms during the pandemic. This group of students was chosen because they had just finished high school and their transition from the school system to the university system with online learning will pose many difficulties. The theoretical framework for this study was developed using the Technology Acceptance Model (TAM) with additional facilitating conditions and computer self-efficacy as the external elements. The participants were 180 pre-university students from Universiti Kuala Lumpur Malaysian Institute of Information Technology who had experience using MS Teams during their first semester. With SPSS, the predictive factors on the acceptance of students toward online learning have been explained. The findings also indicate that the proposed TAM-based scale successfully explained the factors predicting intention to use MS Teams during the pandemic. The findings assist researchers and practitioners in developing a more comprehensive view of pre-university students’ acceptance and intention to use MS Teams. Finally, several recommendations have been made, including the implications and limitations of the study at the end of this paper to reference future research.
 

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