Pub Date : 2020-12-15DOI: 10.31181/oresta20303085k
Sandra Kasalica, M. Obradović, A. Blagojevic, D. Jeremić, M. Vuković
Analysis of high-risk locations, accident frequency and severity for railway crossing is necessary in order to improve the safety and consequently diminish the number of accidents and their severity. In order to extract the necessary parameters that quantify the risk associated with railway crossings in Serbia, we have carefully analyzed available statistical models commonly used in this kind of studies. A zeroinflated Poisson model and a multinomial logistic model were used for the assessment of accident frequency and accident severity respectively. In order to quantitatively evaluate the risk, a well known measure – total risk was modified and a new measure for risk – empirical risk was introduced. The road sign warning device (p = 2.76 ∙ 10), exposure to traffic (p = 4.3 ∙ 10), and maximum train speed at a given crossing (p = 1.36 ∙ 10) were significantly associated with probability of accident frequency and significantly influenced the expected total number of fatalities or injuries caused by traffic accidents.
{"title":"Models for ranking railway crossings for safety improvement","authors":"Sandra Kasalica, M. Obradović, A. Blagojevic, D. Jeremić, M. Vuković","doi":"10.31181/oresta20303085k","DOIUrl":"https://doi.org/10.31181/oresta20303085k","url":null,"abstract":"Analysis of high-risk locations, accident frequency and severity for railway crossing is necessary in order to improve the safety and consequently diminish the number of accidents and their severity. In order to extract the necessary parameters that quantify the risk associated with railway crossings in Serbia, we have carefully analyzed available statistical models commonly used in this kind of studies. A zeroinflated Poisson model and a multinomial logistic model were used for the assessment of accident frequency and accident severity respectively. In order to quantitatively evaluate the risk, a well known measure – total risk was modified and a new measure for risk – empirical risk was introduced. The road sign warning device (p = 2.76 ∙ 10), exposure to traffic (p = 4.3 ∙ 10), and maximum train speed at a given crossing (p = 1.36 ∙ 10) were significantly associated with probability of accident frequency and significantly influenced the expected total number of fatalities or injuries caused by traffic accidents.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43428991","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 : 2020-12-15DOI: 10.31181/oresta20303048k
R. Kishore, Seyed Ali Mousavi Dehmourdi, M. Naik, Malek Hassanpour
The difficulties discovered in selecting subcontractors via a simple method of bid price as the main factor along with an initial screening of subcontractor properties impressed us to look at a little beyond the existing trend and offer a coherent procedure for this purpose. Despite this, we know that the main factor in outsourcing a project is a bid price and this is in full agreement with the existing circumstances of subcontractor selection in Iran, but the objective of this research was integrating all criteria with the same importance for selecting a subcontractor. The questionnaire was used for collecting initial data of research to pass through the Analytic Hierarchy Process (AHP) and Multi-Criteria Decision-Making (MCDM) model of Simple Additive Weighting (SAW). The findings showed the priority in subcontractors' selection as Hejrat Manesh Izeh (1), Khesht Sazan Karoun (2), Yeganeh saze omid (3), Sakht karan Moongasht (4), Darya Sanat Khavarmianeh (5), Omran mehragane Yosef (6) respectively. The present study offered a coherent procedure to select the subcontractor regardless of the bid price importance and integrating all interfering criteria in the same importance.
{"title":"Designing a framework for Subcontractor’s selection in construction projects using AN MCDM model","authors":"R. Kishore, Seyed Ali Mousavi Dehmourdi, M. Naik, Malek Hassanpour","doi":"10.31181/oresta20303048k","DOIUrl":"https://doi.org/10.31181/oresta20303048k","url":null,"abstract":"The difficulties discovered in selecting subcontractors via a simple method of bid price as the main factor along with an initial screening of subcontractor properties impressed us to look at a little beyond the existing trend and offer a coherent procedure for this purpose. Despite this, we know that the main factor in outsourcing a project is a bid price and this is in full agreement with the existing circumstances of subcontractor selection in Iran, but the objective of this research was integrating all criteria with the same importance for selecting a subcontractor. The questionnaire was used for collecting initial data of research to pass through the Analytic Hierarchy Process (AHP) and Multi-Criteria Decision-Making (MCDM) model of Simple Additive Weighting (SAW). The findings showed the priority in subcontractors' selection as Hejrat Manesh Izeh (1), Khesht Sazan Karoun (2), Yeganeh saze omid (3), Sakht karan Moongasht (4), Darya Sanat Khavarmianeh (5), Omran mehragane Yosef (6) respectively. The present study offered a coherent procedure to select the subcontractor regardless of the bid price importance and integrating all interfering criteria in the same importance.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44941725","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 : 2020-12-15DOI: 10.31181/oresta20303013s
A. Stankovic, G. Petrovic, Ž. Ćojbašić, D. Markovic
The Flexible Job Shop Planning (FJSP) problem is another planning and scheduling problem. It is a continuation of the classic problem of scheduling jobs, where each operation can be performed on different machines, while the processing time depends on the machine being used. FJSP is a difficult NP problem that consists of two sub-problems, scheduling problems and scheduling operations. The paper presents a model for solving FJSP based on meta-heuristic algorithms: Genetic algorithm (GA), Tabu search (TS) and Ant colony optimization (ACO). The efficiency of the approach in solving the aforementioned problem is reflected in the flexible search of space and the choice of dominant solutions. The results of the computation are graphically represented on the Gantt chart.
{"title":"AN APPLICATION OF METAHEURISTIC OPTIMIZATION ALGORITHMS FOR SOLVING THE FLEXIBLE JOB-SHOP SCHEDULING PROBLEM","authors":"A. Stankovic, G. Petrovic, Ž. Ćojbašić, D. Markovic","doi":"10.31181/oresta20303013s","DOIUrl":"https://doi.org/10.31181/oresta20303013s","url":null,"abstract":"The Flexible Job Shop Planning (FJSP) problem is another planning and scheduling problem. It is a continuation of the classic problem of scheduling jobs, where each operation can be performed on different machines, while the processing time depends on the machine being used. FJSP is a difficult NP problem that consists of two sub-problems, scheduling problems and scheduling operations. The paper presents a model for solving FJSP based on meta-heuristic algorithms: Genetic algorithm (GA), Tabu search (TS) and Ant colony optimization (ACO). The efficiency of the approach in solving the aforementioned problem is reflected in the flexible search of space and the choice of dominant solutions. The results of the computation are graphically represented on the Gantt chart.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48116714","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 : 2020-12-06DOI: 10.31181/oresta20303101k
Sema Kayapinar Kaya
The extent of the outbreak of coronavirus disease (COVID-19) had a major impact on health, social life, economic and environmental activities in almost every country over the world. It has disrupted the sustainable development of countries and brought many uncertainties for their future capabilities. In this study, the effects of the COVID-19 on OECD countries' sustainable development were investigated, and the sustainable development performance of the countries was evaluated by the MultiAttributive Ideal-Real Comparative Analysis (MAIRCA) method. Data for the second quarter of 2020 and the same quarter of the previous year is considered. Then, the results obtained by the MAIRCA method were compared with two different multi-criteria decision-making (MCDM) methods called MABAC (Multi‐Attributive Border Approximation Area Comparison) and WASPAS (Weighted Aggregated Sum Product Assessment). The effectiveness and validity of the results obtained from these methods were tested with Spearman's correlation coefficient. Finally, to examine the effect of COVID-19 on the indicators of sustainable development, a non-parametric Wilcoxon signed-rank test was applied. As a result, it was concluded that COVID-19 negatively affected the sustainable development of countries. However, sustainable development performances of developed countries have been observed to be better than developing countries.
{"title":"Evaluation of the Effect of COVID-19 on Countries’ Sustainable Development Level: A comparative MCDM framework","authors":"Sema Kayapinar Kaya","doi":"10.31181/oresta20303101k","DOIUrl":"https://doi.org/10.31181/oresta20303101k","url":null,"abstract":"The extent of the outbreak of coronavirus disease (COVID-19) had a major impact on health, social life, economic and environmental activities in almost every country over the world. It has disrupted the sustainable development of countries and brought many uncertainties for their future capabilities. In this study, the effects of the COVID-19 on OECD countries' sustainable development were investigated, and the sustainable development performance of the countries was evaluated by the MultiAttributive Ideal-Real Comparative Analysis (MAIRCA) method. Data for the second quarter of 2020 and the same quarter of the previous year is considered. Then, the results obtained by the MAIRCA method were compared with two different multi-criteria decision-making (MCDM) methods called MABAC (Multi‐Attributive Border Approximation Area Comparison) and WASPAS (Weighted Aggregated Sum Product Assessment). The effectiveness and validity of the results obtained from these methods were tested with Spearman's correlation coefficient. Finally, to examine the effect of COVID-19 on the indicators of sustainable development, a non-parametric Wilcoxon signed-rank test was applied. As a result, it was concluded that COVID-19 negatively affected the sustainable development of countries. However, sustainable development performances of developed countries have been observed to be better than developing countries.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43577882","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 : 2020-11-12DOI: 10.31181/oresta20303065w
Sugiri Widjajanto, H. Purba, C. Jaqin
Understanding quality in manufacturing starts with learning why errors happen and this could be improved by analysis with root causes related to human errors. Human reliability influenced by equipment design or working environment will come to concept of poka-yoke (mistake proofing), and various means to reduce mistakes that have been greatly improved recently with latest sophisticated technology. This article will discuss poka-yoke technology related to the Industry 4.0 (I4.0) or Smart Manufacturing concept. The method is to review research articles published within 2015-2020 with a keyword poka-yoke or mistake-proof or fault-proof and verify further whether their poka-yoke tools have implemented the I4.0 concept. The results obtained 50 selected articles, with 13 of them that already applied information technology, cloud computing, and augmented reality, which are considered as I4.0 tools. However, its application is not always satisfying concerning its suitability function, requirement of industries, culture, local regulation, and internal business concern, especially in terms of efficiency and cost.
{"title":"Novel poka-yoke approaching toward Industry-4.0","authors":"Sugiri Widjajanto, H. Purba, C. Jaqin","doi":"10.31181/oresta20303065w","DOIUrl":"https://doi.org/10.31181/oresta20303065w","url":null,"abstract":"Understanding quality in manufacturing starts with learning why errors happen and this could be improved by analysis with root causes related to human errors. Human reliability influenced by equipment design or working environment will come to concept of poka-yoke (mistake proofing), and various means to reduce mistakes that have been greatly improved recently with latest sophisticated technology. This article will discuss poka-yoke technology related to the Industry 4.0 (I4.0) or Smart Manufacturing concept. The method is to review research articles published within 2015-2020 with a keyword poka-yoke or mistake-proof or fault-proof and verify further whether their poka-yoke tools have implemented the I4.0 concept. The results obtained 50 selected articles, with 13 of them that already applied information technology, cloud computing, and augmented reality, which are considered as I4.0 tools. However, its application is not always satisfying concerning its suitability function, requirement of industries, culture, local regulation, and internal business concern, especially in terms of efficiency and cost.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43847015","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}
The coronavirus (COVID-19) pandemic is having a clear impact on the supply chains of virtually all manufacturers. Whether frozen foods and grocery items or emergency item, or even the services the supply chain has been facing multiple obstacles. For manufacturing industries with complex supply chains, it is indeed critical to identify strategies to deal with such a crisis. With demand high and supply unavailable some products became more desirable causing price hikes and price extorting because the manufacturing sectors are facing some barriers during lockdown. This research has identified the five essential barriers of supply chain such as lack of man power, local laws enforcement, lack of transportation, scarcity of raw materials and deficiency in cash flow for Indian manufacturing sectors during lockdown. This paper proposed a methodology based on fuzzy analytical hierarchy process (Fuzzy-AHP) with use of triangular fuzzy numbers for the pairwise comparison matrices. It has been seen that lack of man power is higher weight barrier than others. Moreover, the managerial implication about the results is also provided, which will be useful for manufacturing sectors to take suitable decisions to overcome these obstacles.
{"title":"Selection of the barriers of supply chain management in Indian manufacturing sectors due to Covid-19 impacts","authors":"Tapas K Biswas, Manik Chandra Das","doi":"10.31181/oresta2030301b","DOIUrl":"https://doi.org/10.31181/oresta2030301b","url":null,"abstract":"The coronavirus (COVID-19) pandemic is having a clear impact on the supply chains of virtually all manufacturers. Whether frozen foods and grocery items or emergency item, or even the services the supply chain has been facing multiple obstacles. For manufacturing industries with complex supply chains, it is indeed critical to identify strategies to deal with such a crisis. With demand high and supply unavailable some products became more desirable causing price hikes and price extorting because the manufacturing sectors are facing some barriers during lockdown. This research has identified the five essential barriers of supply chain such as lack of man power, local laws enforcement, lack of transportation, scarcity of raw materials and deficiency in cash flow for Indian manufacturing sectors during lockdown. This paper proposed a methodology based on fuzzy analytical hierarchy process (Fuzzy-AHP) with use of triangular fuzzy numbers for the pairwise comparison matrices. It has been seen that lack of man power is higher weight barrier than others. Moreover, the managerial implication about the results is also provided, which will be useful for manufacturing sectors to take suitable decisions to overcome these obstacles.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42940259","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}
The purpose of this study is to determine and rank the road transportation risk factors that are crucial for effective and economic supply chain management. Road transportation risk factors can be defined as equipment related risks, risk to be lost and disappearance, risks related to delivery and packaging, inadequacy of qualified personnel and technical equipment, risks caused from incompatibility to logistic information system/technology, security risk, compulsory reasons, risks originated from regulations and arrangements, risks related to waiting at customs gate and transport infrastructure based risks. Accordingly, fuzzy PIPRECIA as a multi-criteria ranking method was used to prioritize the risk factors. According to the results, while the transport infrastructure based risks criterion was found as the most important, the risk to be lost and disappearance factor was obtained as the least important one.
{"title":"PRIORITIZATION of ROAD TRANSPORTATION RISKS: AN APPLICATION in GİRESUN PROVINCE","authors":"Saliha Memiş, Ezgi Demir, Çağlar Karamaşa, Selçuk Korucuk","doi":"10.31181/oresta2003111m","DOIUrl":"https://doi.org/10.31181/oresta2003111m","url":null,"abstract":"The purpose of this study is to determine and rank the road transportation risk factors that are crucial for effective and economic supply chain management. Road transportation risk factors can be defined as equipment related risks, risk to be lost and disappearance, risks related to delivery and packaging, inadequacy of qualified personnel and technical equipment, risks caused from incompatibility to logistic information system/technology, security risk, compulsory reasons, risks originated from regulations and arrangements, risks related to waiting at customs gate and transport infrastructure based risks. Accordingly, fuzzy PIPRECIA as a multi-criteria ranking method was used to prioritize the risk factors. According to the results, while the transport infrastructure based risks criterion was found as the most important, the risk to be lost and disappearance factor was obtained as the least important one.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41871159","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}
Medical waste is a problem which haunts environmental officials, considering the many environmental and health risks it causes, as well economic losses. Perhaps the single most important resolve that top management should consider as regards medical waste management is to select an appropriate technology to address it. Such a decision is so complex because there are many criteria that decision-makers should take into consideration. The objective of this paper is to develop a grey based decision-making model for evaluating health-care waste treatment alternatives in Libya. This was based on investigating the reality of medical waste management in Libya by collecting data from the most important and largest public hospitals in the major Libyan cities. These data were compiled through direct contact with these hospitals and from the Libyan Medical Waste Organization website. This paper makes trade-offs between four technologies used in waste treatment, according to five criteria. The results show that microwave is the best technology, followed by steam sterilization, while landfilling comes as the last option.
{"title":"A grey-based assessment model to evaluate health-care waste treatment alternatives in Libya","authors":"I. Badi, Ali Shetwan, Ali Hemeda","doi":"10.31181/oresta1903092b","DOIUrl":"https://doi.org/10.31181/oresta1903092b","url":null,"abstract":"Medical waste is a problem which haunts environmental officials, considering the many environmental and health risks it causes, as well economic losses. Perhaps the single most important resolve that top management should consider as regards medical waste management is to select an appropriate technology to address it. Such a decision is so complex because there are many criteria that decision-makers should take into consideration. The objective of this paper is to develop a grey based decision-making model for evaluating health-care waste treatment alternatives in Libya. This was based on investigating the reality of medical waste management in Libya by collecting data from the most important and largest public hospitals in the major Libyan cities. These data were compiled through direct contact with these hospitals and from the Libyan Medical Waste Organization website. This paper makes trade-offs between four technologies used in waste treatment, according to five criteria. The results show that microwave is the best technology, followed by steam sterilization, while landfilling comes as the last option.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43435121","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}
Business process defining and structuring influences the evolution of organizations’ business activities. It represents the starting point on the path to establishing of an process mature organization. A number of elements is needed to be met to get the organization out of a state of complete unstructuredness. Micro, small and medium enterprises are interesting for considering the adoption of the concept of business process management (BPM), not only because of their size but also because of managerial role of the owner, the way of managing and decision making, as well as assigning multiple roles and responsibilities to one employee. This paper analyzes the defining and structuring of BPM within groups of micro, small and medium sized enterprise. The TOPSIS method was applied for the purpose of ranking enterprise groups in accordance with the establishment of defining and structuring elements.
{"title":"Analysis of business process management defining and structuing activities in micro, small and medium-sized enterprises","authors":"Andrea Dobrosavljević, S. Urošević","doi":"10.31181/oresta1903040d","DOIUrl":"https://doi.org/10.31181/oresta1903040d","url":null,"abstract":"Business process defining and structuring influences the evolution of organizations’ business activities. It represents the starting point on the path to establishing of an process mature organization. A number of elements is needed to be met to get the organization out of a state of complete unstructuredness. Micro, small and medium enterprises are interesting for considering the adoption of the concept of business process management (BPM), not only because of their size but also because of managerial role of the owner, the way of managing and decision making, as well as assigning multiple roles and responsibilities to one employee. This paper analyzes the defining and structuring of BPM within groups of micro, small and medium sized enterprise. The TOPSIS method was applied for the purpose of ranking enterprise groups in accordance with the establishment of defining and structuring elements.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48257070","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}
Formed FAM4QS (Fuzzy Aggregation Method for Quality Service (software), FAM4QS), has been created with modification of LSP (Logical scoring of preferences) methods and SSSI (Six-Step Service Improvement method used LSP (Logical scoring of preferences) algorithms. This had imposed a need for the support of the appropriate software Given that FAM4QS is a new and unique approach to this issue, the proposed software provides unique computer support for this method. With the support of FAM4QS, it is possible for the decision-maker to better demonstrate its own subjective preferences in multi-criteria decision-making. An overview of a large number of results allows numerous analyzes of the application of this decision-making method, as well as an increase in the efficiency of the decision-making process itself. This makes it easier to analyze and consider their solutions, while at the same time it provides managers to use this method in deciding in easy way.
{"title":"Application solution to the stage of aggregation method for assessing the quality of service provided","authors":"M. Tomasevic","doi":"10.31181/ORESTA190289T","DOIUrl":"https://doi.org/10.31181/ORESTA190289T","url":null,"abstract":"Formed FAM4QS (Fuzzy Aggregation Method for Quality Service (software), FAM4QS), has been created with modification of LSP (Logical scoring of preferences) methods and SSSI (Six-Step Service Improvement method used LSP (Logical scoring of preferences) algorithms. This had imposed a need for the support of the appropriate software Given that FAM4QS is a new and unique approach to this issue, the proposed software provides unique computer support for this method. With the support of FAM4QS, it is possible for the decision-maker to better demonstrate its own subjective preferences in multi-criteria decision-making. An overview of a large number of results allows numerous analyzes of the application of this decision-making method, as well as an increase in the efficiency of the decision-making process itself. This makes it easier to analyze and consider their solutions, while at the same time it provides managers to use this method in deciding in easy way.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45310516","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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