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Copyright of Rudarsko-Geolosko-Naftni Zbornik is the property of Faculty of Mining, Geology & Petroleum Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Multicriteria methods have gained traction in academia and industry practices for effective decision-making. This systematic review investigates and presents an overview of multi-criteria approaches research conducted over forty-four years. The Web of Science (WoS) and Scopus databases were searched for papers on multi-criteria methods with titles, abstracts, keywords, and articles from January 1977 to 29 April 2022. Using the R Bibliometrix tool, the bibliographic data was evaluated. According to this bibliometric analysis, in 131 countries over the past forty-four years, 33,201 authors have written 23,494 documents on multi-criteria methods. This area's scientific output increases by 14.18 percent every year. China has the highest percentage of publications at 18.50 percent, followed by India at 10.62 percent and Iran at 7.75 percent. Islamic Azad University has the most publications with 504, followed by Vilnius Gediminas Technical University with 456 and the National Institute of Technology with 336. Expert Systems with Applications, Sustainability, and the Journal of Cleaner Production are the top journals, accounting for over 4.67 percent of all indexed works. In addition, E. Zavadskas and J. Wang have the most papers in the multi-criteria approaches sector. AHP, followed by TOPSIS, VIKOR, PROMETHEE, and ANP, is the most popular multi-criteria decision-making method among the ten nations with the most publications in this field. The bibliometric literature review method enables researchers to investigate the multi-criteria research area in greater depth than the conventional literature review method. It allows a vast dataset of bibliographic records to be statistically and systematically evaluated, producing insightful insights. This bibliometric study is helpful because it provides an overview of the issue of multi-criteria techniques from the past forty-four years, allowing other academics to use this research as a starting point for their studies. [ABSTRACT FROM AUTHOR]

Since December 2019, a new virus, called the Corona Virus Disease-2019 (COVID-19), triggers pneumonia outbreak from Wuhan across China, which now poses major health threats to public health. According to the World Health Organization, the death rate of this virus has been 3.4%. Hospitals are the most important element of the health care system during an outbreak like COVID 19. The main goal of hospitals is to provide high quality care to patients and meet their needs and expectations during an outbreak like COVID 19. The hospital must provide high quality services to meet patients' needs. Expectations are therefore one of the most important determinants of patients' or their families' evaluation of service quality, and accurate understanding of customer expectations is the most important step in defining and delivering high quality services. In this study, using the FAHP-PROMETHEE hybrid approach, we will rate hospitals in Sari city of Iran in terms of patient satisfaction during the outbreak of COVID 19. Therefore, first, patient satisfaction factors are identified under normal conditions and then patient satisfaction factors are identified during the outbreak of COVID 19 and hospitals are ranked under normal conditions and during the outbreak of COVID 19 using FAHP-PROMETHEE approach. [ABSTRACT FROM AUTHOR]

Urban security is of great importance, especially in public spaces like parks, which are considered a place for relaxation, comfort, and recreation. Various crimes occur in such places due to problems such as lack of supervision, large numbers of people, and reduced lighting, which increase the number of defenseless and private places. To analyze the security status of public parks, this study employed geographic information systems (GIS)‐based spatial analysis of crimes in the Tehran metropolis, the capital of Iran. The study includes twenty-four crimes occurring in forty-one parks in Tehran in 2015. Required information was collected by contacting the police department and the weight of each index was determined using an analytical network process. To rank the parks, the PROMETHEE model was applied and graphical statistical methods were used in a GIS environment to detect and display the spatial pattern of crimes. The results of the analysis show that crime is low in central, northern, and southern parts of the city, whereas it is high in the western and eastern parts of Tehran. In addition, there is a significant positive relationship between two variables such as area and park ranks in terms of security. It is essential to detect the place conditions resulting in crime opportunities or simplify it by relying on geographic science principles. Results of this research are of great importance for several organizations in Tehran, such as the Municipality of Tehran, police department, justice system, and other relevant organizations to increase safety in parks and for the development of GIScience in the context of crime analysis. [ABSTRACT FROM AUTHOR]

Copyright of Rudarsko-Geolosko-Naftni Zbornik is the property of Faculty of Mining, Geology & Petroleum Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Nowadays, in the coal mining industry, achieve to goals such as high production rates and efficiency with increasing safety and reducing production costs needs to using mechanized mining methods and advanced equipment. As case studies, Takht coal mine and Tazareh coal mine in north-eastern of Iran and Tabas coal mine in mid-Eastern Iran were selected. In total, 17 coal seams with the potential for mechanization from three mentioned mines were studied. In this present study in order to evaluating these coal mines potential of mechanization, important and influential factors such as seam inclination, seam thickness, roof strength, seam uniformity condition, seam extension, bearing capacity and water at the working face were investigated. In this study, it was tried to select the best seams between studied seams with potential for mechanization based on the mentioned factors, by using Preference Ranking Organization Method for Enrich Evaluation method. Finally, Tabas and K11 seam from Takht mine were selected as the top options for mechanization. [ABSTRACT FROM AUTHOR]

Copyright of Rudarsko-Geolosko-Naftni Zbornik is the property of Faculty of Mining, Geology & Petroleum Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: This paper aims to select and rank the solutions of knowledge management and apply them to the supply chain for boosting its performance. Therefore, organizations can focus on the high-priority solutions and assign the resources to the strategies related to these solutions. Design/methodology/approach: A decision making trial and evaluation laboratory-based analytic network process method is first used to rank the barriers of implementing the knowledge solutions and preference ranking organization method for enrichment evaluations technique is then used to rank the knowledge-based solutions which improve the overall performance of the supply chain. Then, a mathematical model is proposed to select the best solutions where the effectiveness and fairness are maximized while the cost and risk are minimized. The proposed model is implemented over a dairy supply chain in Iran. The solutions are obtained using the literature and the experts' panel of the supply chain. Findings: Lack of trust and commitment of supply chain members, besides different interests, values and cultures of the supply chain members, is the most challenging barrier to knowledge management solution. Strengthening the cooperation culture in the chain, setting up a transparent workflow or open-door policy, setting up enough incentives and reward and punishment and setting up positive leadership toward knowledge management are the most important strategies for removing the existing barriers or decreasing their impact on the supply chain. Originality/value: Solutions with the highest priority are not necessarily the best solutions for implementation; the requirements of organizations must also be considered. Mathematical model in this study helped to select solutions based on their cost and risk, as well as their priority level. [ABSTRACT FROM AUTHOR]

Public transportation is one of the most important systems in transportation, especially in big and crowded cities. As a result, evaluation of public transportation systems is a strategic decision-making problem for both private and public sections. In this paper, the problem of public transportation passengers in Tehran is addressed and their satisfaction levels are assessed by using passenger satisfaction survey. An integrated MCDM approach is proposed for evaluation of public transportation systems based on Delphi method, group analytic hierarchy process (GAHP) and preference ranking organization method for enrichment of evaluations (PROMETHEE). The proposed model provides more reliable and realistic results and introduces directions for future improvements of public transportation service quality. A sensitivity analysis is applied to investigate the influence of criteria weights on the decision making problem. As a conclusion, the most important public transportation systems in Tehran orderly are: metro, taxi, BRT, bus and van. Therefore, Tehran Municipality and policy makers should encourage and support the previously mentioned systems. [ABSTRACT FROM AUTHOR]

This paper develops a multi-objective conflict resolution simulation-optimization model based on a leader-follower game to resolve conflicts between different water users while optimizing water quality in the river through selective depth water withdrawal from the reservoir. Iran Water Resources Management Company (IWRMC), given the nature of the power distribution in this region, is selected as leader, and agricultural, domestic, and industrial water users are selected as followers. Nash-Harsanyi bargaining theory is used as a nested model in this general framework to model competition between followers. The proposed selective withdrawal approach considers four reservoir outlets, located at 120, 145, 163, and 181 m above sea level. Water withdrawal from multiple outlets addresses reservoir thermal stratification and water quality. Temperature and water quality are simulated based on different possible scenarios of reservoir inflow and release using a calibrated CE-QUAL-W2 model. Five artificial neural network (ANN) surrogate/meta models are then trained and validated based on CE-QUAL-W2 model results for each water quality variable. Subsequently, these validated surrogate models are coupled with the NSGA-II optimization model, which along with the utility functions of different stakeholders, constitute the building blocks of our conflict resolution multi-objective optimization model. Finally, three decision-making methods, namely AHP, PROMETHEE, and TOPSIS, are utilized to choose the superior compromise solution. Our results show that water withdrawal from multiple reservoir outlets ensures optimal water allocation to different stakeholders while satisfying the desired water quality criteria. In this study, the top outlet (181 m) has desirable quality, and the IRWQI SC water quality criterion at the top and deepest outlets are highest and lowest, respectively.