Abstract:Currently, the trade volume between China and the European Union is experiencing rapid growth. However, there are many bottlenecks in the operation of the China Railway Express, such as imbalance in inbound and outbound transported containers in the Sino–European direction and a low profit margin. More than fifty-three rail routes in China provide rail transportation to European cities and have small traffic volumes. However, such a dramatic situation affects transportation costs, which are three times higher … Show more
“…Bosnia and Herzegovina-Lithuania-Serbia-Malaysia [6], Lithuania-Bosnia and Herzegovina-Serbia [7], Iran-Lithuania [8], China-Lithuania [9], Malaysia-Lithuania [10], Serbia-South Africa-Lithuania-Bosnia and Herzegovina [11] and Chile-Iran-Lithuania-Australia [12]. Authors from China contributed in total eight papers, four without international collaboration [13][14][15][16] and four more in international cooperation: [9], China-USA [17], China-Pakistan [18] and Russia-China-Serbia [19]. Authors from Poland contributed four papers, but only to a national cooperation [20][21][22][23].…”
Section: Contributionsmentioning
confidence: 99%
“…Authors from Poland contributed four papers, but only to a national cooperation [20][21][22][23]. Researchers from Serbia have published 15 papers: three without international cooperation [24][25][26], four with authors from Bosnia and Herzegovina [27][28][29][30], three with authors from India [31][32][33], mentioned [6,7,11,19], India-Finland-Serbia [34]. Authors from India have published seven papers.…”
The success of any activity and process depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction. That is, the ability to properly define a set of success indicators. The application of the developed new multi-criteria decision-making (MCDM) methods can be eliminated or decreased by decision-makers’ subjectivity, which leads to consistency or symmetry in the weight values of the criteria. In this Special Issue, 40 research papers and one review study co-authored by 137 researchers from 23 different countries explore aspects of multi-criteria modeling and optimization in crisp or uncertain environments. The papers proposing new approaches and elaborate case studies in the following areas of applications: MCDM optimization in sustainable engineering, environmental sustainability in engineering processes, sustainable multi-criteria production and logistics processes planning, integrated approach for modeling processes in engineering, new trends in the multi-criteria evaluation of sustainable processes, multi-criteria decision-making in strategic management based on sustainable criteria.
“…Bosnia and Herzegovina-Lithuania-Serbia-Malaysia [6], Lithuania-Bosnia and Herzegovina-Serbia [7], Iran-Lithuania [8], China-Lithuania [9], Malaysia-Lithuania [10], Serbia-South Africa-Lithuania-Bosnia and Herzegovina [11] and Chile-Iran-Lithuania-Australia [12]. Authors from China contributed in total eight papers, four without international collaboration [13][14][15][16] and four more in international cooperation: [9], China-USA [17], China-Pakistan [18] and Russia-China-Serbia [19]. Authors from Poland contributed four papers, but only to a national cooperation [20][21][22][23].…”
Section: Contributionsmentioning
confidence: 99%
“…Authors from Poland contributed four papers, but only to a national cooperation [20][21][22][23]. Researchers from Serbia have published 15 papers: three without international cooperation [24][25][26], four with authors from Bosnia and Herzegovina [27][28][29][30], three with authors from India [31][32][33], mentioned [6,7,11,19], India-Finland-Serbia [34]. Authors from India have published seven papers.…”
The success of any activity and process depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction. That is, the ability to properly define a set of success indicators. The application of the developed new multi-criteria decision-making (MCDM) methods can be eliminated or decreased by decision-makers’ subjectivity, which leads to consistency or symmetry in the weight values of the criteria. In this Special Issue, 40 research papers and one review study co-authored by 137 researchers from 23 different countries explore aspects of multi-criteria modeling and optimization in crisp or uncertain environments. The papers proposing new approaches and elaborate case studies in the following areas of applications: MCDM optimization in sustainable engineering, environmental sustainability in engineering processes, sustainable multi-criteria production and logistics processes planning, integrated approach for modeling processes in engineering, new trends in the multi-criteria evaluation of sustainable processes, multi-criteria decision-making in strategic management based on sustainable criteria.
“…However, the implications of building infrastructure and operating logistics facilities are far-reaching and often almost imperceptible. The operation of a logistics platform Sustainability 2021, 13, 3891 2 of 37 negatively and positively affects the environment of the zone where it is implemented. On the other hand, there are vertical and horizontal relationships between the interests of the actors associated with the implementation of a logistics platform [6].…”
The purpose of this paper is to help decision-makers choose the location of a logistics platform with sustainability perspectives. This study presents a compensatory and partially compensatory approach to build composite indicators, using mainly fuzzy multi-criteria decision-making methods. In the first instance, the fuzzy full consistency method (F-FUCOM) was used to calculate the weight of the criteria and sub-criteria. In the second instance, two aggregation methods, namely the fuzzy multi-attribute ideal-real comparative analysis (F-MAIRCA) and the fuzzy preference ranking organization method for enrichment evaluation (F-PROMETHEE), were used to rank the location of a logistics platform. The novelty of the work lays in studying the impact of limited sustainability and weak sustainability on the location of a logistics platform. In this respect, the aggregation of various sustainability criterion in fuzzy compensatory and partially compensatory composite indicators is an innovative and interesting approach used to locate a logistics platform. The obtained results show that economic sustainability is the most important criterion for the selection of a logistics platform, followed by the environmental criterion. Obviously, the F-MAIRCA and F-PROMETHEE methods provided the same ranking orders. Finally, sensitivity analyses were performed to validate the robustness of the proposed approach.
“…In optimization, one can identify single and multi-criteria optimizations [6][7][8]. Multi-criteria optimizations exist where optimal decisions must be made in the presence of compromises between conflicting objectives [9,10].…”
Many scientific papers are devoted to solving multi-criteria problems. Researchers solve these problems, usually using methods that find discrete solutions and with the collaboration of domain experts. In both symmetrical and asymmetrical problems, the challenge is when new decision-making variants emerge. Unfortunately, discreet identification of preferences makes it impossible to determine the preferences for new alternatives. In this work, we propose a new approach to identifying a multi-criteria decision model to address this challenge. Our proposal is based on stochastic optimization techniques and the characteristic objects method (COMET). An extensive work comparing the use of hill-climbing, simulated annealing, and particle swarm optimization algorithms are presented in this paper. The paper also contains preliminary studies on initial conditions. Finally, our approach has been demonstrated using a simple numerical example.
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