Increasing of train traffic on railway infrastructure implies the use of enlarged railway network capacity and the corresponding increase in intelligence - i.e. “intelligentization” - of railway industries. As the Train Control Information System (TCIS) results as one of the most important railway systems with a significant impact on overall railway performance is very important to be able to evaluate its efficiency and influence on railway infrastructure capacity (RIC). In this paper, the model for evaluation of the influence of TCIS on capacity utilization, based on the TOPSIS method is proposed as an alternative to DEA based models. Indeed, the main drawback of DEA based models is that DEA evaluates the alternatives from only one point of view and classifies them as efficient or inefficient, while TOPSIS allows the benchmarking of the alternatives by detecting the best practices based on the ranking of alternatives. For the purposes of this paper, the TOPSIS based evaluation where years represent alternatives were tested through case studies of Serbian and Austrian railways for the period from 2006 to 2015. Based on the obtained results it can be pointed out that TOPSIS method can be applied for the evaluation and comparison of the influence of different TCIS on RC utilization.
{"title":"Evaluation of the TCIS Influence on the capacity utilization using the TOPSIS method: Case studies of Serbian and Austrian railways","authors":"Evelin Krmac, B. Djordjević","doi":"10.31181/ORESTA1901030K","DOIUrl":"https://doi.org/10.31181/ORESTA1901030K","url":null,"abstract":"Increasing of train traffic on railway infrastructure implies the use of enlarged railway network capacity and the corresponding increase in intelligence - i.e. “intelligentization” - of railway industries. As the Train Control Information System (TCIS) results as one of the most important railway systems with a significant impact on overall railway performance is very important to be able to evaluate its efficiency and influence on railway infrastructure capacity (RIC). In this paper, the model for evaluation of the influence of TCIS on capacity utilization, based on the TOPSIS method is proposed as an alternative to DEA based models. Indeed, the main drawback of DEA based models is that DEA evaluates the alternatives from only one point of view and classifies them as efficient or inefficient, while TOPSIS allows the benchmarking of the alternatives by detecting the best practices based on the ranking of alternatives. For the purposes of this paper, the TOPSIS based evaluation where years represent alternatives were tested through case studies of Serbian and Austrian railways for the period from 2006 to 2015. Based on the obtained results it can be pointed out that TOPSIS method can be applied for the evaluation and comparison of the influence of different TCIS on RC utilization.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47465339","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}
Tatjana Savković, Milica Milicic, P. Pitka, Ivana Milenković, Dejan Koleška
This paper presents the evaluation of the impact of Eco-driving program (classroom with on-road instruction) on truck drivers’ operation parameters. A total of 8 professional truck drivers were tested in real driving conditions. Evaluation of the impact of training on driving behavior was done in 3 periods: intervention period (P1), one month after training (P2) and four months after training (P3). Data was collected with the assistance of Scania Fleet Management SystemTM. Fuel economy and CO2 emission, idling time and coasting were significantly improved in the periods P2 and P3 compared to period P1, while the speeding significantly increased. Statistically, use of the brake did not significantly change in the first and fourth month after completed training in comparison to intervention period. This study shows that the use of eco-driving techniques has got a potential for the significant short-term reduction of fuel consumption and CO2 emission in road transport, and so in the future the researches will deal with the effects of training and potential downtrend in the long term (> 6 months).
{"title":"Evaluation of the eco-driving training of professional truck drivers","authors":"Tatjana Savković, Milica Milicic, P. Pitka, Ivana Milenković, Dejan Koleška","doi":"10.31181/ORESTA1901001S","DOIUrl":"https://doi.org/10.31181/ORESTA1901001S","url":null,"abstract":"This paper presents the evaluation of the impact of Eco-driving program (classroom with on-road instruction) on truck drivers’ operation parameters. A total of 8 professional truck drivers were tested in real driving conditions. Evaluation of the impact of training on driving behavior was done in 3 periods: intervention period (P1), one month after training (P2) and four months after training (P3). Data was collected with the assistance of Scania Fleet Management SystemTM. Fuel economy and CO2 emission, idling time and coasting were significantly improved in the periods P2 and P3 compared to period P1, while the speeding significantly increased. Statistically, use of the brake did not significantly change in the first and fourth month after completed training in comparison to intervention period. This study shows that the use of eco-driving techniques has got a potential for the significant short-term reduction of fuel consumption and CO2 emission in road transport, and so in the future the researches will deal with the effects of training and potential downtrend in the long term (> 6 months).","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45395050","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}
Performance measurement and evaluation of the airlines are a key point for improving their performance. This evaluation can help achieving the airline targets. The aim of this paper is to evaluate and compare the performance of four Libyan airlines by considering five main areas of performance; the airline reliability, employees, management, customer's satisfaction and tangibles. In this work, a hybrid method which combined the Full Consistency Method (FUCOM) and Analytical Hierarchy Process (AHP) in one system has been used to assess the four Libyan airlines. In the AHP method, the number of the required pairwise comparisons are increases dramatically with the number of the elements to be compared. The more the comparisons are the higher is the likelihood that the decision maker will introduce erroneous data. In this regard, the problem has been solved by means of using integer, decimal values from the predefined scale for the pairwise comparison of the criteria. The results show that the reliability is the most important performance area followed by satisfaction. Among the four investigated airlines, Libyan Wings were ranked first with a total 0.392 score.
{"title":"Ranking the Libyan airlines by using Full Consistency Method (FUCOM) and Analytical Hierarchy Process (AHP)","authors":"I. Badi, Ali M. Abdulshahed","doi":"10.31181/ORESTA1901001B","DOIUrl":"https://doi.org/10.31181/ORESTA1901001B","url":null,"abstract":"Performance measurement and evaluation of the airlines are a key point for improving their performance. This evaluation can help achieving the airline targets. The aim of this paper is to evaluate and compare the performance of four Libyan airlines by considering five main areas of performance; the airline reliability, employees, management, customer's satisfaction and tangibles. In this work, a hybrid method which combined the Full Consistency Method (FUCOM) and Analytical Hierarchy Process (AHP) in one system has been used to assess the four Libyan airlines. In the AHP method, the number of the required pairwise comparisons are increases dramatically with the number of the elements to be compared. The more the comparisons are the higher is the likelihood that the decision maker will introduce erroneous data. In this regard, the problem has been solved by means of using integer, decimal values from the predefined scale for the pairwise comparison of the criteria. The results show that the reliability is the most important performance area followed by satisfaction. Among the four investigated airlines, Libyan Wings were ranked first with a total 0.392 score.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48032535","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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