Implementasi Metode Fuzzy TOPSIS untuk Seleksi Penerimaan Karyawan

Abstract —An emerging institution would continue to need qualified workers to produce good performances.  Seeing the importance of high quality employees, the candidate selection process became an important part and should be performed promptly.  It is also important to have candidates with desirable criteria fit to the institution. Many proposed methods can be adapted to help employee selection process based on criteria.  This research propose an employee selection system based on Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, because the proposed method capable to deal with multi dimensional problems in employees selection.  The system will produce ranks that can be used to help the hiring decision. This research also compares the results from TOPSIS method and WPM method.  The comparison result shows that both methods produce the same ranks for the chosen candidates.Keywords—  Fuzzy TOPSIS, WPM, Employee Selection

Railway Container Station Reselection Approach and Application: Based on Entropy-Cloud Model

Reasonable railway container freight stations layout means higher transportation efficiency and less transportation cost. To obtain more objective and accurate reselection results, a new entropy-cloud approach is formulated to solve the problem. The approach comprises three phases: Entropy Method is used to obtain the weight of each subcriterion during Phase  1, then cloud model is designed to form the evaluation cloud for each subcriterion during Phase  2, and finally during Phase  3 we use the weight during Phase  1 to multiply the initial evaluation cloud during Phase  2. MATLAB is applied to determine the evaluation figures and help us to make the final alternative decision. To test our approach, the railway container stations in Wuhan Railway Bureau were selected for our case study. The final evaluation result indicates only Xiangyang Station should be renovated and developed as a Special Transaction Station, five other stations should be kept and developed as Ordinary Stations, and the remaining 16 stations should be closed. Furthermore, the results show that, before the site reselection process, the average distance between two railway container stations was only 74.7 km but has improved to 182.6 km after using the approach formulated in this paper

Financial Performance of Air Transport Operators in the Conditions of Digital Transformation Processes

Purpose: The study aims to examine the financial performance of air passenger carriers in the case of a developing country with transition economy like Bulgaria. It also examines both the main trends in the digital transformation processes of the aviation sector and the obstacles that hinder the widespread implementation of information and communication technologies in the sector. Methodology: Through regression modelling, it is identified which financial performance indicators most strongly influence the digital transformation process of air passenger carriers. Results: The results of the study show that Bulgarian aviation operators are not capable to cover their short-term liabilities and are strongly dependent on their creditors, especially in terms of exogenous shocks like COVID-19 pandemics, political crisis, ongoing military conflicts in Ukraine and uncertain business environment. The country ranks on last place according to the values of DESI index in comparison to EU average levels in terms of digital skills of transport workers, e-commerce, and deployment of ICT. Practical implications: The implications of the study could serve as basis for future research in the field of financial performance of other modes of transport or to be used for examining the air transport of countries with similar political and economic characteristics like Bulgaria. Paper type: Research pape

Evaluation of a Performance Index for Municipal Wastewater Treatment Plants using MCDM – TOPSIS

Deciding which are the best performing wastewater treatment plants can be complicated, as their operations comprise different parameters which are either dependent or non-dependent on each other, and are important when deciding the type of treatment. The relative importance of these parameters in terms of weight indicates the priority assigned by decision-makers to the criteria when ranking the alternatives. These weights are calculated by statistical relativity and Saaty’s nine point scale. The sensitivity of both of these approaches is analyzed. The performance of six municipal wastewater treatment plants is evaluated using the Multi-criteria Decision Making (MCDM) Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Efficiency is monitored on the basis of nine wastewater characteristics and compared with the limits established by the Central Pollution Control Board of India. The analysis uses both qualitative and quantitative approaches, which result in differential rankings; accordingly, plants with maximum organic loading removal efficiency were found to be most efficient when weights were applied as per Saaty’s scale. The study proposes a field base approach with regard to the suitability of the weight allocation method for respective utilization of the fuzzy approach in environmental monitoring systems

Intermodal Terminal Handling Equipment Selection Using a Fuzzy Multi-criteria Decision-making Model

Intermodal transport enables energy, costs and time savings, improves the service quality and supports sustainable development. The basic element of the intermodal transport system is an intermodal terminal, whose efficiency largely depends on the subsystems’ technologies. Accordingly, the topic of this paper is the evaluation and the selection of the appropriate handling equipment within the intermodal terminal. As the decision-making on the handling equipment is influenced by different economic, technical, technological and other criteria, the appropriate multi-criteria decision-making (MCDM) methods have to be applied in order to solve the problem. In this paper, a novel hybrid model which combines the fuzzy step-wise weight assessment ratio analysis (FSWARA) and the fuzzy best-worst method (FBWM) is developed. The defined model is applied for solving the case study of selecting adequate handling equipment for the planned intermodal terminal in Belgrade. The reach stacker is selected as the most adequate handling equipment since it suits best the characteristics of the planned terminal in the given conditions and in relation to the defined criteria. Solving the case study demonstrated the justification for using the MCDM methods to solve these kinds of problems as well as the applicability of the proposed MCDM model

Port competitiveness in North East Asia : an integrated fuzzy approach to expert evaluations

Despite the fact that the Northeast Asia (NEA) region, which had four of the top five and 20 of the top 30 container ports in the world in 2003, can be regarded as holding a central position in liner shipping and the handling of container cargo volumes, very little research has been done into the evaluation of its port competitiveness (EPC). For this reason, the EPC in NEA can be regarded as a problematic and urgent issue to be solved, and worthy of academic attention. From this aspect, this research set out to attempt to address the above issue by means of utilizing expert knowledge. However, the EPC contains problems of complex multipleattributes and multiple-hierarchies (CMAMH). In addition, difficulties concerning certain characteristics of evaluation such as complexity, uncertainty and ambiguity are also involved. To deal with such problems, in this research, the employment of integrated fuzzy evaluation (IFE) as a methodology was decided upon. As a result of the adaptation of the methodology, certain indications from this research to the theory and practice for container ports have emerged and are clearly identifiable. With regard to theory, this study has contributed to theoretical development significantly in four ways. First, the factors and taxonomy of port competitiveness for the container ports in NEA have been provided for the first time. Second, this is the first integrated approach for the EPC in NEA, the most competitive area in the world. Third, this research was also the first to attempt extracting critical weak points and/or influential factors affecting current port competitiveness. Finally, the adoption of IFE made it possible for the first time to uncover the interactive relationships between the competing container ports. In terms of practice, this research has also provided certain contributions of utmost importance. First of all, the study has provided a suggestion for the most recent port ranking in respect of port competitiveness. Moreover, changes in competitiveness power, which are dynamically and interactively affected by the relationship between the ports, have been successfully estimated and suggested. Thus, such changes in the competitiveness in NEA can now be easily forecasted by port actors

DEMATEL-ANP risk assessment in oil and gas construction projects

Oil and gas construction projects are complex and risky because of their dynamic environment. Furthermore, rising global energy demand has increased the need for trustworthy risk assessment models for such projects that can provide adequate and precise policy planning. Traditional risk assessments in oil and gas construction projects do not consider the interrelationships of factors in the best-fit models. The Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Processes (ANP), called the DEMATEL-ANP approach, have been applied to other research disciplines to address this shortcoming. This method is able to construct a structural relationship among the different influence factors to visualize complex correlations. Thus, the purpose of this study is to showcase the DEMTAL-ANP risk assessment model to assess the overall risk factors of OGC projects. This study thus identifies the crucial risk criteria of such projects. Data were collected in 2016 through interviews with experts active in OGC projects in Iran. DEMATEL in this situation is used to determine the interdependencies' relative strengths among the risks. The ANP method is applied to assess the relative importance of the risk factors and to determine the best strategy for implementation of a risk management program. The results presented in this study are a novel adaptation of the risk assessment methodology to OGC projects that determines the important risk factors that directly affect the project success, which in turn helps in formulation of policies for ensuring reliable energy supply planning