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EN
Improving product quality while making decisions remains a challenge. The objective of this research was to develop a model that supports the precise enhancement of product quality through comprehensive analysis of possibilities, product incompatibilities, root causes, and recommended improvement actions. The model incorporated various tools and methods such as the SMARTER method, expert team selection, brainstorming, Ishikawa diagram, 5M+E rule, FAHP, and FTOPSIS methods. The study demonstrated that integrating quality management tools and decision-making methods into a unified model enables the accurate prioritization of activities for product quality management. This integrated approach represents the novelty of this research. The model was evaluated using a mechanical seal made of 410 alloy. The research findings can be valuable to enterprises seeking to enhance product quality at any stage of production, particularly for modified or new products.
EN
During the past few years, the number of drones (unmanned aerial vehicles, or UAVs) manufactured and purchased has risen dramatically. It is predicted that it will continue to spread, making its use inevitable in all walks of life. Drone apps are therefore expected to overrun the app stores in the near future. The UAV’s software is not being studied/researched despite several active research and studies being carried out in the UAV’s hardware field. A large‐scale empirical analysis of Google Play Store Platform apps connected to drones is being done in this direction. There are, however, a number of challenges with drone apps because of the lack of formal and specialized app development procedures. In this paper, eleven drone app issues have been identified. Then we applied the DEMATEL (Decision Making Trial and Evaluation Laboratory) method to analyze the drone app issues (DIs) and divide these issues into cause and effect groups. First, multiple experts assess the direct relationships between influential issues in drone apps. The evaluation results are presented in spherical fuzzy numbers (SFN). Secondly, we convert the linguistic terms into SFN. Thirdly, based on DEMATEL, the cause‐effect classifications of issues are obtained. Finally, the issues in the cause category are identified as DI’s in drone apps. The outcome of the research is compared with the other variants of DEMATEL, like rough‐Z‐number‐ based DEMATEL and spherical fuzzy number, and the comparative results suggest that spherical fuzzy DEMA‐ TEL is the most fitting method to analyze the interrela‐ tionship of different issues in drone apps. The findings revealed that highest influenced values feature request (DI9 ) 3.12, Customer support (DI6) 2.91, Connection/Sync ((DI4) 2./72, Cellular Data Usage ((DI3) 2.51, Battery (DI2) 2.31, Advertisements ((DI1) – 0.3, Cost (DI5) – 0.5, Additional cost (D11) – 0.5, Device Compatibility (DI7) – 0.96, and Functional Error (DI10) – 1.2. The outcome of this work definitely assists the software industry in the successful identification of the critical issues where professionals and project managers could really focus.
EN
Successful mine planning is necessary for the sustainability of mining activities. Since this process depends on many criteria, it can be considered a multi-criteria decision making (MCDM) problem. In this study, an integrated MCDM method based on the combination of the analytic hierarchy process (AHP) and the technique for order of preference by similarity to the ideal solution (TOPSIS) is proposed to select the optimum mine planning in open-pit mines. To prove the applicability of the proposed method, a case study was carried out. Firstly, a decision-making group was created, which consists of mining, geology, planning engineers, investors, and operators. As a result of studies performed by this group, four main criteria, thirteen sub-criteria, and nine mine planning alternatives were determined. Then, AHP was applied to determine the relative weights of evaluation criteria, and TOPSIS was performed to rank the mine planning alternatives. Among the alternatives evaluated, the alternative with the highest net present value was selected as the optimum mine planning alternative. It has been determined that the proposed integrated AHP-TOPSIS method can significantly assist decision-makers in the process of deciding which of the few mine planning alternatives should be implemented in open-pit mines.
EN
The current collapsible pot hauler uses a wooden frame, thus making much space in the working area of the fishing boat and also at this time challenging to find the best quality wood at this time. In this study, the wood material would replace by metal; the selection of the proper material is critically needed. A suitable material means the applied material has to deal with environmental conditions. Finding the appropriate material applied to the collapsible pot hauler; can be determined using a Multi-Criteria Decision Making (MCDM) approach. After selecting the proper material, the collapsible pot hauler simulates the material stress using the Finite Element Analysis (FEA) simulation. The material for the new model of collapsible pot hauler was selected using the WSM method. The material with the highest rank (selected) is AISI 304, with a preference value of 3.58. The static strength simulation using the FEA method utilizing Solidworks Software shows that the yield strength value is still below the material properties, which a maximum value is 200. MPa, the material safety factor is the minimum value above one, which is 1.24 on the line spool plate shafts. It means that the material AISI 304 is safe to be applied to the collapsible pot hauler.
EN
Inland waterway transport (IWT) is currently in focus for EU countries due to a shift in policy towards a more sustainable and green economy. The aim of this article is to analyze the possibility of using a grey incidence analysis (GIA) to identify key factors related to the functioning of the IWT system. GIA is classified as a multi-criteria decision-making method and is one of the key applications of grey systems theory (GTS), i.e., systems with incomplete and uncertain information about structure and behavior. GIA identifies the most favorable (or quasi-preferred) system characteristics and the most favorable (or quasi-preferred) system factors. The identification of such characteristics and factors enables a reduction in the inconsistencies in decision making on the functioning of the system. The application of the GIA to the assessment of the IWT system is an original concept.
PL
Celem artykułu jest ocena efektywności ekonomicznej trzech sposobów wykonania robót dociepleniowych ścian zabytkowego budynku wg analizy LCCA (ang. Life Cycle Cost Analysis) oraz metody wielokryterialnej PROMETHEE. Na podstawie uzyskanych wyników określono najkorzystniejsze rozwiązanie, potwierdzając wybór wariantu docieplenia ścian zewnętrznych, który w rzeczywistości został zrealizowany w przypadku zabytkowego budynku dworku w Skrzynkach k. Poznania.
EN
The aim of the article is to assess the economic efficiency of three ways of performing wall insulation works for a historic building based on the LCCA (Life Cycle Cost Analysis) analysis and the PROMETHEE multi-criteria method. On the basis of the obtained results, the most favorable solution was determined, thus confirming the selection of the external wall insulation variant, which was in fact implemented for the historic manor house in Skrzynki near Poznań.
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.
8
Content available remote Zintegrowane podejście do wyboru optymalnej serii zapraw tynkarskich do izolacji
PL
W niniejszym artykule zaproponowano metodę Taguchiego do rozwiązania hierarchicznej analizy problemu decyzyjnego [Analytic Hierarchy Process - AHP] oraz metodę Simple Additive Weighting [SAW] w celu znalezienia optymalnej serii zapraw tynkarskich do izolacji, w oparciu o wiele kryteriów. Najpierw zastosowano metodę Taguchi w celu określenia planu eksperymentu z czynnikami: cementem, wapnem, dolomitem i perlitem na trzech poziomach dozowania, dla każdego z nich z ortogonalnym planem L9. Następnie, zgodnie z projektem, przeprowadzono eksperymenty metodą ultradźwiękową, określono wytrzymałość na ściskanie, przyczepność, nasiąkliwość kapilarną i przewodność cieplną. Wagi ważności kryteriów uzyskano metodą AHP, a punktację poszczególnych serii obliczono metodą SAW. Na podstawie wyników uzyskano optymalne poziomy czynników i otrzymano optymalne składy.
EN
In this study, an integrated approach by Taguchi, Analytic Hierarchy Process [AHP] and Simple Additive Weighting [SAW] method was proposed to find out the optimal insulation plaster mortar series, based on multiple criteria. Firstly, Taguchi method was applied to define the experimental design plan, with the factors of cement, lime, dolomite and perlite in three levels for each with L9 orthogonal design. Then, ultrasonic pulse velocity, compressive strength, bond strength, capillarity water absorption and thermal conductivity experiments, were made according to the design. The importance weights of criteria were obtained by AHP and the scores of the series were calculated by SAW method. The factors’ optimum levels were obtained based on the scores and the optimal series was proposed.
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.
PL
Zastosowanie technik MCDA może stanowić nieocenioną pomoc w poszukiwaniu rozwiązań optymalnych na każdym z etapów procedury analitycznej, a zwłaszcza na etapie przygotowania próbek do analizy, gdzie wariantowaniu może podlegać wybór technik, odczynników chemicznych, w tym rozpuszczalników, a także dobór optymalnych warunków prowadzenia procesów.
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.
EN
The present work proposes several pre-injection patterns to reduce nitrogen oxides in the Wartsila 6L 46 marine engine. A numerical model was carried out to characterise the emissions and consumption of the engine. Several pre-injection quantities, durations, and starting instants were analysed. It was found that oxides of nitrogen can be noticeably reduced but at the expense of increasing consumption as well as other emissions such as carbon monoxide and hydrocarbons. According to this, a multiple-criteria decision-making (MCDM) model was established to select the most appropriate parameters. Besides, an artificial neural network (ANN) was developed to complement the results and analyse a huge quantity of alternatives. This hybrid MCDM-ANN methodology proposed in the present work constitutes a useful tool to design new marine engines.
EN
In this study, TOPSIS and PIV methods were applied for multi-criteria decision making in hard turning process. Experiments have been conducted in accordance with an experimental matrix designed by the Taguchi method with a total of twenty-seven experiments. At each experiment, the values of coolant concentration, nose radius, coolant flow, cutting velocity, feed rate and depth of cut have been changed. Surface roughness, flank wear and roundness error have been selected as output criteria. The weights of criteria have been determined by three methods, inclusive of Equal weight, ROC weight and Entropy weight. The combination of multi-criteria decision-making methods with three weighting methods gives six ranking options of the experiments. The purpose of ranking the experiments is to find the experiment at which the three output parameters are ensured to have the minimum value simultaneously.
EN
In this paper, we apply a computational model for multicriteria decision making in traffic jam problems. First, we propose a system to determine the optimal shortcut road by reading the number of cars in each street using Radio Frequency Identification (RFID). Then, we have processed the data of traffic jam problems using Choquet integral with writing algorithm and computer program as a working procedure.
EN
Countries need to develop sustainable energy policies based on the principles of environmental sensitivity, reliability, efficiency, economy and uninterrupted service and to maintain their energy supply in order to increase their global competitiveness. In addition to this impact of sustainable energy supply on the global world, maintenance processes in power plants require high costs due to allocated time, materials and labor, and generation loss. Thus, the maintenance needs to be managed within a system. This makes analytical and feasible maintenance planning a necessity in power plants. In this context, this study focuses on maintenance strategy optimization which is the first phase of maintenance planning for one of the large-scale hydroelectric power plants with a direct effect on Turkey's energy supply security with its one fifth share in total generation. In this study, a new model is proposed for the maintenance strategy optimization problem considering the multi-objective and multicriteria structure of hydroelectric power plants with hundreds of complex equipment and the direct effect of these equipment on uninterrupted and cost-effective electricity generation. In the model, two multi-criteria decision-making methods, AHP and COPRAS methods, are integrated with integer programming method and optimal maintenance strategies are obtained for 571 equipment.
EN
Human error is recognized as the most common factor that causes maritime accidents. The human error assessment and reduction technique (HEART) is a human reliability assessment (HRA) that has been widely applied in various industries. Furthermore, the HEART – 4M method has been proposed to assess maritime accidents. The HEART – 4M method can clearly define the relationship between man, machine, media, and management factors and the human error. However, the calculation process to determine the weight of every selected error-producing condition (EPC) suffers from the uncertainty of the assessor's estimation in practical applications, which may affect the objectivity of its result. In this study, a modification of the HEART – 4M method with the technique for order preference by similarity to ideal solution (TOPSIS) is proposed. TOPSIS is a multi-criteria decision making (MCDM) tool. This study aims to develop the HEART – 4M method to make it more comprehensive and objective when assessing maritime accidents. First, the parameter of the generic task is determined as in the conventional HEART method. Second, the causal factors are converted to the suitable EPC – 4M, and there are four classification factors for the 38 standard EPCs, which are divided into man, machine, media, and management factors. Third, the TOPSIS is applied to handle the problems of interdependencies and interaction among EPC – 4M and the uncertainty that exists in the assessor´s judgment. The proportion effect of each EPC – 4M is determined through TOPSIS by considering the correlation among EPC – 4M. Finally, thirteen collision data obtained from the National Transportation and Safety Committee of Indonesia are assessed to apply the proposed method.
EN
The diaphragm wall and the open caisson represent two main competitive technologies used in the construction of underground objects. In modern times, diaphragm walls are primarily applied for large-size objects, with open caissons being preferred in the case of small-sized ones. Currently, objects of this type are designed mainly for sewage treatment plants and detention reservoirs. Their construction involves highly labour-intensive processes. During the execution of works unforeseen negative effects are observed to occur. During the underground objects construction the most common phenomena are: deviations from the vertical (tilt), sagging, sinking below the designed level, cracking, scratches or leakage through the wall. The purpose of the paper is to classify undesired risk factors emerging in the process of underground objects construction and selection of the optimal technological and material solution for municipal facilities. The implementation of this task involved the selection of Multi-Criteria Decision Making methods, taking into account the cause-effect rating, as the mathematical apparatus. The Ratio Estimation in Magnitudes or deciBells to Rate Alternatives which are Non-DominaTed (REMBRANDT) method was applied. The research proved that it is possible to analytically assess unforeseen risk factors conducive to emergency situations during the implementation of underground objects, using the REMBRANDT method.
PL
Główne konkurencyjne technologie dla obiektów podziemnych, to ściany szczelinowe i studnie opuszczane. W czasach współczesnych ściany szczelinowe realizowane są głównie dla obiektów wielkogabarytowych, a studnie opuszczane dla małogabarytowych. Obiekty tego typu projektowane są obecnie głównie dla oczyszczalni ścieków i zbiorników retencyjnych. Realizacja ich obejmuje niezwykle pracochłonne procesy. W trakcie wykonawstwa powstają nieprzewidziane oddziaływania negatywne. Podczas procesu budowy obiektów podziemnych najczęściej występują: odchylenia od pionu, zawisania, opuszczanie poniżej projektowanego poziomu, pękania, zarysowania, nieszczelności ścian. Celem pracy jest klasyfikacja niepożądanych oddziaływań negatywnych powstających w procesie realizacji obiektów podziemnych oraz wybór najkorzystniejszego rozwiązania technologiczno-materiałowego dla obiektów komunalnych. W charakterze aparatu matematycznego do zrealizowania tego zadania zostały wybrane metody wielokryterialnego podejmowania decyzji z uwzględnieniem ocen skutkowo- przyczynowych. Zastosowano metodę REMBRANDT (Ratio Estimation in Magnitudes or deciBells to Rate Alternatives which are Non-DominaTed). Badania dowiodły, iż ocena analityczna nieprzewidzianych oddziaływań negatywnych, sprzyjających sytuacjom awaryjnym w trakcie realizacji obiektów podziemnych jest możliwa przy wykorzystaniu metody REMBRANDT.
EN
This article presents the main components of the multi-criteria decision making (MCDM) methodology and their application in the assessment of several public transportation solutions in a specific traffic corridor. The corridor in question is 15 km long and runs through the centre of Wrocław, Poland. The analysis focused on six alternative scenarios. The following elements were taken into consideration in their design: alternative means of land transport; different types of vehicles and priorities for public transportation; location of bus and tram stops. The individual solutions were assessed based on six criteria designed to measure different aspects of the problem with the use of two alternative MCDM methods: Electre III/IV and AHP. Computational experiments established the final ranking of transport solutions in the corridor from best to worst in terms of the analysed criteria.
PL
W artykule przedstawiono elementy metodologii wielokryterialnego wspomagania decyzji (MCDM), a następnie możliwość zastosowania metod MCDM do oceny rozwiązań obsługi pasma zabudowy komunikacją zbiorową. Rozważany korytarz transportowy zlokalizowany jest w centrum miasta Wrocławia (korytarz o długości 15 km). Ocenie poddano 6 wariantów rozwiązań, przy konstruowaniu których uwzględniono następujące elementy: alternatywne środki transportu (środki transportu naziemnego), różne typy pojazdów, priorytety dla transportu publicznego, lokalizację przystanków. Do oceny rozwiązań przyjęto zestaw 6 kryteriów uwzględniających różne aspekty rozważanego problemu. Zbiór wariantów oceniono dwiema metodami wielokryterialnego wspomagania decyzji (MCDM): metodą Electre III/IV oraz AHP. W wyniku przeprowadzonych eksperymentów obliczeniowych uzyskano uszeregowanie końcowe wariantów od najlepszego do najgorszego względem rozważanych kryteriów.
PL
W niniejszym artykule opisano wybrane narzędzia systemów automatyzacji procesów logistycznych (SALP) oraz przedstawiono krótką charakterystykę wielokryterialnej metody podejmowania decyzji PROMETHEE z punktu widzenia zastosowania jej do oceny rezultatów wdrożenia SALP w obszarze logistyki produkcji. W ostatniej części zaproponowano metodykę przygotowania danych wymaganych w procesie oceny wdrożenia SALP na podstawie narzędzi modelowania i symulacji.
EN
In this paper, author described chosen tools of systems of logistic processes automation (SALP) and shortly characterized the multi-criteria decision making method PROMETHEE in terms of using it in assessment of implementing SALP in production logistics. In the last part, a methodology of preparing data required in assessment of SALP implementing process, basing on modelling and simulation tools, was proposed.
PL
Artykuł prezentuje możliwość wykorzystania wielokryterialnego grupowego podejmowania decyzji metodą AHP w podejmowaniu takich decyzji, w których przy dokonaniu właściwego wyboru musimy rozpatrzyć różne warianty, oceniając je według różnych kryteriów. Musimy więc posiadać wiedzę na ich temat, nie zawsze podaną w sposób ilościowy, a ocena powinna być względnie obiektywna, czyli niezależna od preferencji i opinii pojedynczego decydenta. W artykule przedstawiono metodę wykorzystania grupowego AHP w celu sklasyfikowania projektów zgłoszonych do realizacji w ramach budżetu obywatelskiego. Klasyfikacja ta pozwoli określić, które z projektów zdaniem ekspertów będą miały największy wpływ na zrównoważony rozwój miasta, a co za tym idzie – powinny być „wskazane” mieszkańcom jako te lepsze wśród projektów zgłoszonych.
XX
The article presents the possibility of using multi-criteria group decision making using AHP in making such decisions in which in order to make the right choice, we must consider different variants of assessing them according to various criteria. Therefore, we need to possess knowledge about them, which is not always given in a quantitative manner, and the evaluation should be relatively objective that is independent of the preferences and opinions of a single decision-maker. The article presents a method of using group AHP in order to classify the projects submitted for implementation under the civil budget. This classification will determine which of the projects, according to experts, will have the greatest impact on sustainable development of the city, and thus should be “pointed” to the inhabitants as the ones that are better among the projects submitted.
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