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1

The Analysis of Support Systems of Underground Stormwater Basin Using a Multi-Criteria Analysis and Modeling

Mariame Bouchaqour, Ouadif Latifa, Bahi Lahcen

Ecological Engineering & Environmental Technology

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2024

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Vol. 25, iss. 1

101--114

EN

This paper illustrates the importance of integrating buried stormwater ponds into underground development plans using a multi-criteria analysis and modeling for the selection of support in urban underground constructions, applied to the case study of buried stormwater ponds. This study underlines the importance of careful planning and the use of the technique for order of preference by similarity to ideal solution (TOPSIS) in the selection of support for underground stormwater basins in urban environments. The TOPSIS method led to the selection of diaphragm walls as the optimum solution, illustrating its effectiveness in evaluating alternatives based on a variety of criteria. diaphragm wall modeling using robot structural analysis (RSA) software validated this choice and accurately predicted the structure’s behavior, underlining the importance of numerical tools in engineering decision-making. The analysis of wall displacements, carried out using these tools, confirmed their compliance with standards, validating the choice of cast walls and highlighting the need for continuous monitoring to guarantee the stability of the structures.

2

An approach to technological equipment selection for measuring railway track geometry

Bureika Gintautas

Transport Problems

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2023

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T. 18, z. 3

127--136

EN

The most-used railway track geometry measurement systems are considered in this study. The advantages and disadvantages of considered systems and the necessity and application of these technologies in European railways were examined. The decisive factors of the operation of measurement equipment were considered. Real-time railway track condition monitoring systems were evaluated by 14 experts according to a scale of 13 criteria. Questionnaire data were processed using Kendall’s rank correlation method, and the mean ranks were normalized using the average rank transformation into weight method. The most relevant evaluation criteria describing the principles of operation and quality of the most promising technologies were defined. The most important criteria for assessing the suitability of technologies were determined by applying the technique for order of preference by similarity to ideal solution. Finally, basic conclusions and recommendations were formulated.

3

Scenario planning as a new application area for TOPSIS

Gaspars-Wieloch Helena

Operations Research and Decisions

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2023

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Vol. 33, No. 2

23--34

EN

TOPSIS is a well-known approach applied to multi-criteria decision-making under certainty (M-DMC). However, recently, some analogies between this domain and scenario-based one-criterion decision-making under uncertainty (1-DMU) have been revealed in the literature. Thus, the similarities aforementioned give the possibility to adjust TOPSIS to another area. The goal of the paper is to create a new method for problems with non-deterministic parameters on the basis of TOPSIS ideas. In the suggested approach criteria weights (declared within TOPSIS) are replaced by subjective chances of occurrence which are estimated for each scenario. The novel method has an advantage over existing classical decision rules designed for 1-criterion decision-making under uncertainty since within this procedure each payoff connected with a given option is compared with the positive and negative-ideal solutions.

4

Relationship marketing orientation in healthcare organisations with the AHP method. Internal and external customer perspective

Ersoy Yusuf, Tehci Ali

Operations Research and Decisions

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2023

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Vol. 33, No. 1

35--45

EN

Adopting the relationship marketing approach in health institutions and evaluating the weights of its dimensions will benefit the effectiveness of marketing strategies. This study aimed to determine the critical levels of relationship marketing orientation components in private health institutions using the analytical hierarchy process (AHP). In the study, relationship marketing orientation was evaluated according to six criteria in line with the opinions of five experts for employees and 20 people who previously benefited from health services for their customers. As a result, the criterion with the highest priority value was communication with 0.259, and the best health company A. Furthermore, the AHP method results were compared with TOPSIS, EDAS, and CODAS methods. In addition, the Spearman Correlation method was used to determine the correlation between the results.

5

Integrating queue theory and multi-criteria decision-making tools for selecting roll-over car washing machine

Ozcalici Mehmet

Operations Research and Decisions

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2023

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Vol. 33, No. 2

99--119

EN

The study aims to develop a decision-making framework by integrating queuing theory and multi-criteria decision-making (MCDM) tools, namely TOPSIS, EDAS, CoCoSo, and TODIM to select a roll-over car washing machine for an oil station. The queue, technical and financial characteristics of the alternatives are added to the decision-making process. The decision matrix includes five criteria and five alternatives. One million weight sets are created randomly, and MCDM techniques are applied to interpret the results statistically. Results indicate that Alternative 3 is statistically superior to the others. The proposed procedure can help decision makers to make decisions when expert knowledge isn’t available, and it can be applied for other purposes by making small changes.

6

Multi-criteria decision support methods for the selection of the optimum contractor: A case study of a passenger transfer centre

Łopatka Paweł, Tłuczak Agnieszka, Jadach Robert

Journal of Sustainable Development of Transport and Logistics

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2023

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Vol. 8, No. 2

219--228

EN

Purpose: The main purpose of the paper is to apply the TOPSIS method for selecting the optimal contractor for a passenger transfer center. Methodology: The methodology is based on the use of TOPSIS, which determines the distance of decision alternatives from the ideal and anti-ideal solutions using evaluation criteria. Results: Two different contractor rankings were obtained depending on the weights of the criteria. With equal weights, the best contractor is number 5, while with weights determined by formula (8), the best is number 4. Theoretical Contribution: The paper contributes to the field of investment project management by demonstrating how the TOPSIS method can aid in decision-making for optimal contractor selection, thereby reducing the risk of erroneous decisions. Practical Implications: The practical implications of this research are significant for investment projects, as the demonstrated methodology can be directly applied to the contractor selection process, potentially leading to more successful project outcomes.

7

Application of MCDM/MCDA methods in city rankings - review and comparative analysis

Ogrodnik Karolina

Economics and Environment

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2023

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No. 3

132--151

EN

The priority objective of this study is to identify the most popular MCDM/MCDA methods typically used to create city rankings and to conduct a comparative analysis of the selected methods. In the first part, a literature review was prepared, on the basis of which it was established that the fol-lowing methods were most commonly used to assess cities: TOPSIS, AHP and PROMETHEE. In addi-tion, the above city rankings usually pertained to the subject of sustainable development and the concept of smart city. In the subsequent empirical part, a ranking of Polish cities was created using PROMETHEE and TOPSIS methods, which enabled a comparative analysis of these methods; espe-cially in terms of the algorithm, data selection, as well as the possibility of integration with other methods.

PL

Priorytetowym celem badania jest identyfikacja najpopularniejszych metod MCDM/MCDA stosowanych do tworzenia rankingów miast, jak również analiza porównawcza wybranych metod. W pierwszej części opracowano przegląd literatury, na podstawie którego, wykazano, że dotychczas do oceny miast najczęściej stosowano metody: TOPSIS, AHP oraz PROMETHEE. Ponadto, tworzone rankingi miast dotyczyły zazwyczaj tematyki zrównoważonego rozwoju oraz koncepcji smart city. Następnie, w części empirycznej, opracowano ranking polskich miast przy użyciu PROME-THEE oraz TOPSIS, co umożliwiło dokonanie analizy porównawczej tych metod, szczególnie w zakresie algorytmu, doboru danych, jak również możliwości integracji z innymi metodami.

8

European integration and development of the EU-10 countries in view of selected social phenomena

Smolińska Kinga, Józefowicz Karolina, Bednárová Lucia

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2022

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z. 157

509--522

EN

Purpose: The aim of this paper is to determine the level of development in the EU-10 countrie in view of social phenomena. Design/methodology/approach: the TOPSIS method was applied to rank countries in terms of social phenomena – the list comprised countries, which in 2004 accessed the EU. The paper focused on social phenomena, i.e. health, the labour market, housing, demography and education. Findings: It refers to the basic assumptions and the importance of integration in the international context as well as the related theories. Moreover, it presents the relationship between integration and the level of development in countries in terms of the social aspects. At the same time it discusses the process of social changes which have taken place in the Central and Eastern European countries (CEESs) since their accession to the European Union. Research limitations/implications: The text discusses problems related to the European integration and social development in the EU countries. Practical implications: The manuscript concerns social development in the EU-10 countries and European integration. It may be of interest for the broadly understood governmental sector. Social consequences: Conducted studies will constitute the basis for the development of European and national development strategies in terms of improvement of welfare for the populations, while also indicating the direction of changes and ensuring comparability of the results concerning transformations in the countries, which accessed the EU in 2004. Originality/value: The originality of the study will stem from the application of the TOPSIS method, required to classify the countries and to determine the standard of their development in terms of social phenomena.

9

Conceptual approach to valuation of climate change in EU countries through the prism of economic activities

Stankevičienė Jelena, Borisova Jelena

Rynek Energii

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2022

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Nr 5

80--88

EN

In our days' countries pursue not just to have higher or maintain economic growth, but society faces another challenge – to combat climate change: to slower increase of global temperature by decreasing amount of green gas emission. Globalization processes have increased green gas emission. The problem of climate change becomes an overall problem of all countries, as green gas emissions produced by any country has an overall impact on environment of the earth. Public administration and public policies face the problem how to combat climate change not constraining the economy too much. The purpose of the paper is to evaluate the extent to which EU countries are affected to climate change according economic and social factors of countries that can be seen as drivers of green gas emissions. The study relates green gas emission intensity to the extent to which the country is possible to be exploded to climate change according to its data on industry, energy, waste, and agriculture of EU countries. TOPSIS method is used to rank EU countries in combating climate change. The conceptual approach to ranking climate change through the prism of countries economic activities is developed. There are some research limitations – statistical data on the industry, energy, waste, agriculture is limited in order to fulfil the tasks of the research.

10

Effect of novel grain refiner and Ni alloying additions on microstructure and mechanical properties of Al-Si9.8-Cu3.4 HPDC castings – optimization using Multi Criteria Decision making approach

Apparao K. Ch., Bannaravuri Praveen Kumar, Pulisheru Kumar Swamy, Francis E. D., Sunny Kalakanda Alfred, Babu Rao Gadudasu, Daniel P. Freedon, Kumar Birru Anil

Materials Science Poland

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2022

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Vol. 40, No. 1

9--24

EN

Studies dealing with process improvement of aluminum alloys and their grain structure refinement are the current area of interest in casting companies and foundries, the aim being to enhance the properties of the base metal. In this study, the microstructural and mechanical properties of commercial Al-Si9.8-Cu3.4 alloy die castings influenced by different additions of Al-3.5FeNb-1.5C master alloy (viz. 0 wt.%, 0.1 wt.%, and 1.0 wt.%) as a new grain refiner and Al-6Ni master alloy (viz. 0 wt.%, 0.5 wt.%, and 5.0 wt.%) as an alloying element have been investigated. A multi-criteria decision-making approach for the improvement of the die casting process was performed using grey relational analysis (GRA) and TOPSIS analytical techniques. It was observed that the primary aluminum α-grains were significantly refined, particularly at the lower addition level 0.1 wt.% of Al-3.5FeNb-1.5C, and conversely, poor grain refining efficiency was observed at a higher addition level 1.0 wt.% of Al-3.5FeNb-1.5C. Due to the refinement by Al-3.5FeNb-1.5C grain refiner and the effect of Ni alloying element additions, the ultimate tensile strength (UTS) and hardness (Brinell and micro) of the Al-Si9.8-Cu3.4alloy are improved, particularly at 0.1 wt.% of Al-3.5FeNb-1.5C and 0.5 wt.% of Al-6Ni master alloys. Quantitatively, UTS, Brinell hardness, and microhardness values have been increased by 12.3%, 7.0%, and 20%, respectively.

11

Customer knowledge management in enterprise software development companies: organizational, human and technological perspective

Khosravi Arash, Rajabzadeh Morteza, Zaloga Viliam, Dyadyura Irina

Management Systems in Production Engineering

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2022

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nr 4 (30)

291--297

EN

In this study, Knowledge-Based View (KBV) and Theory of Technology in a Generic Customer Knowledge Management (CKM) Framework were assimilated to demonstrate the Organizational, Human and Technological antecedent factors that enable CKM processes to improve software product quality. A Theoretical CKM Framework was developed by extracting Human, Organizational and Technological factors from the literature, then, the “Technique for Order of Preference by Similarity to Ideal Solution” (TOPSIS) Multi-Criteria Decision Making (MCDM) method was applied to find the importance level of factors to CKM development in software companies. The weight and priority of factors were determined by 31 experts in enterprise software development companies. The results show that, from an expert viewpoint, CKM antecedent factors are categorized into high priority and low priority groups. Organizational factors such as “Customer Involvement”, “Customer-Centric Culture” and “CKM Strategy Development” are high priority.

12

Multi-objective decision making for Z Coordinator and overcut in μ - EDM process using tungsten carbide electrode for machining of titanium alloy

Nguyen Phan-Huu

Journal of Machine Engineering

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2022

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Vol. 22, No. 1

138--149

EN

Research on optimization of technological parameters in micro-EDM is very important, and especially results in multi-objective optimization problem. It led to improve machining performance like machining accuracy, reduced electrode wear and improved surface quality. Recent studies mainly refer to the quality indicators of machining productivity and electrode wear, besides that machining accuracy and surface quality are also very important indicators but published results about them is very limited. In this study, Z Co-Ordinate (Z) and overcut (OC) in micro-EDM using tungsten carbide (WC) electrode for Ti-6Al-4V were decided simultaneously by TOPSIS. Technological parameters which include Voltage (V), Capacitance (C) and Response surface methodology (RSM) were investigated in the presented research work. The results showed that the quality parameters Z and OC at optimal conditions were significantly improved. The surface quality behind the micro-EDM is also analyzed and evaluated, and it is good.

13

SWOT Framework Based on Fuzzy Logic, AHP, and Fuzzy TOPSIS for Sustainable Retail Second-hand Clothing in Liberia

Sumo Peter Davis, Ji Xiaofen, Cai Liling

Fibres & Textiles in Eastern Europe

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2022

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Vol. 30, no. 6

27--44

EN

The fast-fashion business model is marred by high resource consumption and enormous emission of greenhouse gases. It is based on inaccurate forecasts, resulting in excess supply than demand. Globally, 85% of two-week-old garments end up as unfashionable or worn-out items that must be discarded as waste, disposed of for recycling, or donated to charities. With this colossal increase in textile waste, resource efficiency is one of the biggest challenges facing the fashion industry, which now calls for a swift implementation of a new sustainable business and consumption model to extend product life cycles. This demand for sustainable consumption encourages consumers to reuse, recycle and resell. The resell campaign known as second-hand clothing is a growing market worldwide. Current global forecasts predict a 185% increase over the next ten years, compared to FF, which will expand by just 20%. Africa is a top destination, with more than 80% of its population wearing SHCs. We contribute to this literature by assessing the significance of SHC trade in Liberia. We extend this assessment by developing a hybrid MCDM tool incorporating AHP, fuzzy logic, Ensemble, and TOPSIS to build a SWOT framework to identify criteria and sub-criteria for prioritizing SHC retailing in Liberia and Africa. Data for this study were gathered from a survey involving 100 SHC retailers from the Red-Light, Waterside, Duala, and Omega markets in Monrovia, Liberia. We identified several important factors in implementing sustainable SHC and recommended strategic directions towards their successful implementation.

14

Performance Evaluation of Hydro Power Projects in India Using Multi Criteria Decision Making Methods

Manoj Vasupalli, Rathnala Prasanthi, Sura Srinivasa Rao, Sai Sake Namruth, Murthy Metta Venkata Ramana

Ecological Engineering & Environmental Technology

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2022

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Vol. 23, iss. 5

205--217

EN

In the contemporary period of the green economy, energy planning has grown more complicated due to the inclusion of numerous standards, including technical, social, economic, and environmental. This, in turn, restricts the ability of decision-makers to make the most efficient use of energy resources. In addition, the difficulty of energy planning is exacerbated by topographical restrictions on renewable energy systems, the majority of which are found in nature. Based on factors such as total installed capacity, total reservoir capacity, total surface capacity, the height, length, number of units, and the cost of the dam were used to determine the finest hydro power project in India, according to this study. For performance evaluation, multi criteria decision making (MCDM) techniques like analytic hierarchy process (AHP) and TOPSIS (technique for order reference by similarity to ideal solution) are used in conjunction with VIKOR (vlekriterijumsko kompromisno rangiranje) for performance evaluation. AHP is used to calculate the weights of each criteria. The TOPSIS and VIKOR methods will utilise these weights to choose the optimal option. For the purpose of demonstrating the approaches’ applicability, an in-depth case study of various hydropower facilities in India was carried out.

15

Approach to Performance Rating of Retroreflective Textile Material Considering Production Technology and Reflector Size

Glombikova Viera, Komarkova Petra, Vik Michal, Adamcova Jaroslava, Nemcokova Renata, Vikova Martina, Havelka Antonin

Autex Research Journal

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2022

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Vol. 22, no. 4

446--457

EN

The study investigates retroreflective fabrics’ efficiency from the point of view of the interaction of their visibility, thermo-physiological comfort properties, and durability (represented by physical-mechanical performance). The effect of the combination of two production technologies (reflective transfer films and screen printing method) and two reflector covering sizes (25% and 85%) was examined. Technique for order of preference by similarity to ideal solution (TOPSIS) method was used to determine the best solution considering the abovementioned tested categories of properties. Retroreflective performance was in congruence with the used design coverage factor of the tested pattern. It was found that retroreflection of the tested pattern produced using screen printing technology was significantly lower than retroreflection of an identical pattern made by a transfer film. On the contrary, in terms of thermo-physiological comfort and physical-mechanical performance of the tested samples, screen printing technology shows significantly better results in almost all tested properties, especially in water vapor permeability, moisture management, and physical-mechanical performance. The solution for the abovementioned contradictory results can be achieved by using a combination of the advantages associated with each of these technology methods. Screen printing can be applied to specific regions of clothing that are exposed to extreme loading or sweating, and the transfer of film elements ensures high visibility with respect to the standards and biomotion principles that are deployed as prevalent benchmarks in the industry.

16

Modeling the designs in terms of logistics service center placement: a case study

Stopka Ondrej, Droździel Paweł, L'upták Vladimir

Archives of Transport

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2022

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Vol. 64, iss. 4

59--71

EN

Suggesting the proper location for logistics facility can be considered as a decision making problem, wherein the final solution/decision is affected by multiple external or even internal circumstances. In order to address the decision making issues, various multi-criteria decision making (MCDM) techniques may be implemented; and hence, they can be applied even when making a decision about an adequate logistics service center (LSC) placement in an examined territory (i.e., national logistics network of the selected territory), which is an aim of this manuscript. Following the statements above, as for the individual instruments of MCDM to be implemented in terms of the crucial objective of this research, the definite decision making process will be carried out by applying the Analytic Hierarchy Process (AHP) followed by the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS), on the basis of criteria weights defined by the Saaty pairwise comparison method. The methods used appear to be ideal instruments towards decision making on the most suit-able location which is represented by the region in our case. Subsequently, these will be ordered from the most preferred to least one by using a preference ranking. As a result of the application of AHP and TOPSIS approaches, based on the conducted calculations in regard to decision making on identifying the proper LSC location out of eight selected regions, one specific region will be defined as the most suitable (so-called compromise) scenario. Individual tools allow for reducing the number of assigned criteria that are taken into account in searching process for individual solutions. In order to objectify the entire decision making procedure, ten topic-involved experts having practical experience with a subject of logistics object allocation will be asked to participate in the process. Preferences differ from one decision maker (expert) to another; hence, the outcome depends on who is making decisions and what their goals and preferences are.

17

Multi-Criteria Decision Making of Abrasive Water Jet Machining Process for 2024-T3 Alloy Using Hybrid Approach

Khudhir Waqass S., Abbood Mohanad Qusay, Shukur Jalil J.

Advances in Science and Technology. Research Journal

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2022

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Vol. 16, no 5

155--162

EN

Abrasive Water Jet Machining (AWJM) is one of the most environmentally friendly non-conventional machining processes, which can be employed to cut hard and thin materials without any thermal effects. In this study, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) has been combined with the Entropy method and employed to find out the multi-criteria decision-making of process parameters. Experimental investigations have been conducted to evaluate the performance of the AWJM process in terms of surface roughness (Ra) and kerf angle (Ka). The selected process parameters are a stand-off distance (SOD), traverse speed (TS), and abrasive flow rate (AFL), whereas the AL-alloy 2024-T3 was selected as the work piece material. The image process technique has been utilized to measure the values of the Ka. The results demonstrate that the optimal solutions of the AWJM process, which give the smallest value of Ra and minimizes Ka, are 2mm, 20mm/min, and 100 g/min, for SOD, TS, and AFL respectively.

18

Decision-Making Process Development for Industry 4.0 Transformation

Sajjad Ahmad, Ahmad Wasim, Hussain Sulman

Advances in Science and Technology. Research Journal

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2022

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Vol. 16, no 3

1--11

EN

Development of design characteristics based dynamic decision support framework is presented in the current study, to facilitate the decision makers in the transformation of system in the industry 4.0 paradigm. The model development is designed for a robust decision-making approach to integrating human and machine knowledge to adopt smart technologies and system design. The system is based on prioritization of the industry 4.0 design principles and characteristics including flexibility, self-adaptability, self-reconfigurability, context awareness, decision autonomy, and real-time capabilities. It has been revealed from an industrial field study, the companies facing difficulty to transform the system, and systematics approach needed to overcome the challenge. A decision support process has been developed as an integrated approach to embedding human knowledge. The developed process has been validated using Technique for Order of Preference by Similarity to Ideal Solution, the results depict the operational flexibility, has been most crucial transformation characteristics prioritized using the Analytical Hierarchical Process. The developed process has the capability to help the system development and estimate the factors involved in the transformation.

19

Equipment selection for an e-commerce company using Entropy-based TOPSIS, EDAS and CODAS methods during the COVID-19

Ersoy Yusuf

LogForum

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2021

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Vol. 17, no. 3

341--358

EN

Background: The importance and market share of e-commerce has been increasing with the COVID-19 pandemic in recent days. Employees sometimes cannot go to the workplace due to epidemics such as COVID-19 that is spreading rapidly around the world, natural disasters and accidents. Companies can continue to serve their customers with the internet infrastructure and computer technologies they will provide to their employees. Thus, e-commerce companies can provide a sustainable competitive advantage in the sector. Working with the right suppliers is one of the important decisions that will improve the service quality of the firms and affect the sustainability of the enterprise. Methods: This study aims to select the best laptop for a company in the online trade industry using Entropy-based EDAS, CODAS and TOPSIS methods. In the study, 6 alternative laptops have been evaluated according to hard disk capacity, ram, battery power, processor speed, weight, price criteria. The Entropy method has been used to identify the weights of the criteria in the study. These criteria weights have been used in EDAS, CODAS and TOPSIS methods. TOPSIS, EDAS and CODAS methods have been used to determine the best alternative. Also, the correlation between the results of the TOPSIS, EDAS and CODAS methods has been examined with the Spearman Correlation approach. Results: As a result of the Entropy method, it has been determined that the most important criterion is the hard disk capacity criterion. TOPSIS, EDAS and CODAS method results have been compared and the most suitable alternative has been selected. According to the results of the study, the best alternative has been selected as A5. Spearman Correlation analysis results show that there was a strong positive relationship between the methods used and the results obtained. Conclusions: The study differs from existing studies in the literature in that it is the first study in which laptop selection was made using TOPSIS, EDAS and CODAS methods together. The results of this study can be compared with the results of future studies that will be carried out using different MCDM methods and different data.

20

Selection mining methods via multiple criteria decision analysis using TOPSIS and modification of the UBC method

Ali Mahrous A.M., Kim Jong-Gwan

Journal of Sustainable Mining

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2021

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Vol. 20, iss. 2

49--55

EN

Mine designers often face difficulties in selecting an appropriate mining method; however, such a method should be selected based on ore and rock characteristics. The selection of mining methods can be considered a type of multi-criteria decision making, and this depends on many factors used in the selection process. The general method used in this field is the University of British Columbia (UBC) method, which determines the criteria of the properties that are compared to determine the best and worst of several mining methods. In this paper we used as new technique which defines as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The criteria considered in the UBC method include general shape, ore thickness, ore plunge, and grade distribution, beside the rock quality designation (RQD), and the rock substance strength (RSS). This paper presents an improved TOPSIS method based on experimental design. Additionally, this paper will introduce a modified version of the UBC method that can be employed based on Excel sheet. The best mining methods is cut and fill stoping and top slicing with the same rank equal 0.72, and the second-best mining method is square set stoping with rank equal 0.65.