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EN
Background: Countries that are efficient in terms of logistics infrastructure have easy access to different markets in terms of production and foreign trade and thus achieve economic prosperity. In order to compare the performance of countries in logistics processes, there are international logistics indexes published by various organizations for different country categories. Each of these indexes is used to follow the performance of the logistics infrastructures of the countries and the logistics operations accordingly. Methods: The aim of this study is calculation and comparison of the integrated logistics performance of 101 countries with the ROC-based WASPAS method and the presence of spatial autocorrelation between the obtained integrated logistics performance values by using four different international logistics indexes (Logistics Performance Index (LPI) (2018), Liner Shipping Connectivity Index (LSCI) (2021), Enabling Trade Index (ETI) (2016), and Availability and Quality of Transport Infrastructures (AQTI) (2016)) data. Results: It has been determined that the top five countries with the highest integrated logistics performance are Singapore, Germany, China, Japan, England, and USA, respectively. On the other hand, Sierra Leone, Congo, Mauritania, Gabon, Liberia, and Madagascar are the weakest countries. Integrated logistics performance of a country is generally significantly affected by the logistics performance of the neighboring country, albeit limited. This is especially prevailing for USA, Canada, and Western Europe. Conclusion: For the global integrated logistics performance analysis, countries with strong production capacity and logistics infrastructure are in first place, and there is a positive spatial autocorrelation in terms of integrated logistics performance among some countries in Western Europe and the Americas.
EN
Background: The fierce competitive advantage in the global market depends largely on the integration of all supply chain networks. This network facilitates the movement of information and materials through the suppliers and end customers with a focus on planning and managing. This integration can result in the meeting demands of customer orders being affected by the performance of the suppliers. As a result of this integration, it can be considered that the performance of the suppliers is important in fulfilling customer orders on time. Evaluating and selecting suppliers is greatly influencing the performance of the supply network. Methods: Selecting the proper supplier is a multi-criteria decision-making problem which includes both quantitative and qualitative criteria. A two-stage decision making method is proposed in the study under sustainability dimension. First, SWARA method is used to determine the relative importance of criteria and than WASPAS method is used to evaluate and rank the given alternatives. Results: A real-life case study is given for the selected approach. Also, sensitivity analysis is given. This selected alternative confirms the preferences of decision makers as it is a company that operates internationally and has a reputation and awareness in sustainability within its own country. Conclusions: Due to the increase in awareness on sustainability and the resulting regulations, the issue of sustainability in supply chains and sustainable supplier selection has become an important issue for companies. It is aimed to examine the supplier selection of a company in an electronics sector on a "sustainable" basis, considering from economic, environmental and social aspects. In this study, which was carried out to fill the literature gap identified in this field and to propose a systematic approach to sustainable supplier selection, a hybrid method which consists of both SWARA and WASPAS method have been used to evaluate the suppliers under the sustainability dimensions. With the help of a hybrid model, decision makers can manage conflict management of individual challenges using an analytical process.
EN
This paper presents a study on the multi-creteria decision making in the external cylindrical grinding process of 65G steel. An aluminum oxide grinding wheel was used in the experimental process. The experimental matrix was designed according to the Taguchi method with twenty-seven experiments. Five parameters were used to design the experimental matrix including workpiece velocity, feed rate, depth of cut, dressing feed rate, and dressing depth of cut. The surface roughness and Material Removal Rate (MRR) were determined for each experiment. This is the first time that the Weighted Aggregates Sum Product ASsessment (WASPAS) and Proximity Indexed Value (PIV) methods were used to make the multi-criteria decision for grinding process. The weighs of ouput criteria (surface roughness and MRR) were determined by Entropy method. Both WASPAS and PIV methods determined an experiment that simultaneously ensured the “minimum value” of surface roughness and “maximum value” of MRR.
EN
Background: Nowadays mining companies, as non-profit organizations like other organizations, face a complex and turbulent environment. The proper guidance of the organizations depends on understanding the internal and external environment and making smart strategic decisions. Therefore, to deal effectively with all the factors that affect the ability of the company in its profitable growth, because organizations need compiling strategic planning to increase their capabilities, long-term growth and survival and to reduce operational risk, organizations have turned to strategic planning in particular. After compiling strategies, determining the priority of strategies is very important. The statistical population of this research has consisted of 50 heads of operational and support affairs units (to determine internal factors) along with 10 managers and deputies (to determine external factors). In this research, strategies were first identified via the Strengths, Weaknesses, Opportunities, and Threats (SWOT) matrix and then ranked by the Weighted Aggregates Sum Product Assessment (WASPAS) method. Materials and methods: In addition to the QSPM approach, multi-indicator decision-making models can also be used to prioritize strategies. Nowadays, as multi-indicator decision-making related topics are intensified and on the other hand, the increasing tendency towards interdisciplinary sciences and the use of theories of various groups and specialties in solving complex problems, the necessity to pay attention to decision-making analysis techniques and exploiting them in solving existing complex problems is of great importance. In these models, selecting one option among the available options is considered. In a general definition, multi-indicator decision making refers to specific (preferential type) decisions, such as evaluating, prioritizing, or selecting among the available options (which sometimes should be done among several contrasting indicators). Some multi-indicator decision-making models are: AHP, ANP, ELECTRE, VICTOR, TOPSIS, SAW, GRA, SIR, PROMETHEE and WASPAS. In this article, the WASPAS method has been used to determine the prioritization of strategies. Results: In this research, strategies were first identified via the Strengths, Weaknesses, Opportunities, and Threats (SWOT) matrix and then ranked by the Weighted Aggregates Sum Product Assessment (WASPAS) method. Ultimately, the strategies of "assigning a part of the sale to individuals or qualified private companies", "creating the Technology Transfer Office (TTO) in order to move towards self-sufficiency", and "comprehensive planning in the field of human resources in order to create an effective and efficient culture" were selected as strategic priorities for the Alpha Mining Company. Conclusions: Various approaches have already been proposed to prioritize strategies; in this research, the criteria have been specified using the ACCEPT approach and finally by the WASPAS method, the strategies have been prioritized. The ACCEPT method unlike the QSPM method, which prioritized strategies by taking into account strengths and weaknesses, opportunities and threats, regardless of environmental conditions and existing organizational status and externally by considering 6 main parameters of strategy evaluation including cost, time, popularity, effective, and so on, helps to prioritize strategies. In this research, it was tried to use one of the techniques of MADM according to relevant and important criteria to enhance the assurance coefficient of managers’ decision making. Multi-criteria decision-making techniques have this advantage that they evaluate various options according to various criteria that do not have equal units. Another important advantage of multi-criteria decision-making techniques is that they are capable of analyzing quantitative and qualitative criteria simultaneously.
PL
Wstęp: W obecnych czasach przedsiębiorstwa wydobywcze, jako organizacje non-profit, podobnie jak inne organizacje, działają w kompleksowych i zmieniającym się środowisku. Prawidłowe zarządzanie organizacją zależy od zrozumienia wewnętrznego jak i zewnętrznego środowiska oraz podejmowania strategicznych decyzji. Aby działać efektywnie, mając do czynienia z wieloma czynnikami wpływającymi na możliwości i ograniczenia wzrostu przedsiębiorstwa, organizacja potrzebuje strategicznego planowania dla rozwoju swoich zdolności, długoterminowego wzrostu jak i ograniczeniu ryzyka operacyjnego. Po etapie opracowania strategii, istotnym krokiem jest ich priorytetyzacja. Statystyczna populacja w tej pracy obejmuje 50 kierowników operacyjnych i wspierających (dla określenia czynników wewnętrznych) oraz 10 menadżerów (dla określenie czynników zewnętrznych). Strategie zostały wpierw poddane analizie SWOT (Strengths, Weaknesses, Opportunities, Threats) a następnie uszeregowane zgodnie z metodą WASPAS (Weighted Aggregates Sum Product Assessment). Materiały i metody: Dodatkowo do podejścia QSPM, modele wieloczynnikowe podejmowania decyzji również mogą być zastosowane w procesie priorytetyzacji strategii. Obecnie wieloczynnikowe podejmowanie decyzji jest bardzo zintensyfikowane, z drugiej strony obserwowana jest tendencja nauk interdyscyplinarnych zastosowania teorii różnych obszarów w rozwiązywaniu kompleksowych problemów, konieczności zwrócenia uwagi na techniki analiz podejmowania decyzji oraz wykorzystywania ich w istniejących złożonych problemach. W tych modelach umożliwione jest wybranie jednej opcji wśród istniejących wielu możliwości. Wieloczynnikowe podejmowanie decyzji odnosi się do specyficznych (preferowanych) decyzji, takich jak szacowanie, priorytetyzacja lub wybór jednej wśród wielu opcji (co czasem musi być dokonane przy wielu przeciwnych czynnikach). Takimi wieloczynnikowymi modelami podejmowania decyzji są: AHP, ANP, ELECTRE, VICTOR, TOPSIS, SAW, GRA, SIR, PROMETHEE oraz WASPAS. W prezentowanej pracy zastosowano metodę WASPA dla określenia priorytetyzacji strategii. Wyniki: Strategie wpierw zostały zidentyfikowane poprzez zastosowanie macierzy SWOT (Strengths, Weaknesses, Opportunities, Threats) a następnie uszeregowane przy zastosowaniu metody WASPAS (Weighted Aggregates Sum Product Assessment). W końcowym etapie strategie „przypisanie części sprzedaży do indywidualnych osób lub wykwalifikowanych prywatnych firm”, „stworzenie TTO (Technology Transfer Office) w celu przesunięciu w stronę samowystarczalności” oraz „wszechstronne planowanie w obszarze zasobów ludzkich w celu wytworzenia efektywnych i wydajnej kultury” zostały wybrane jako strategiczne priorytety dla firmy Alpha Mining Company. Wnioski: Różne metody były proponowane do użycia w celu priorytetyzacji strategii. W tej pracy kryteria zostały wybrane poprzez podejście ACCEPT oraz finalnie poprzez metodę WASPAS. Metoda ACCEPT pomaga w priorytetyzacji strategii w przeciwieństwie do metody QSPM, która priorytetyzuje strategie uwzględniając ich słabe i mocne strony, możliwości i zagrożenie w oderwaniu od warunków środowiskowych i aktualnego stanu organizacji, a uwzględniając 6 głównych parametrów oszacowywania strategii, takich jak koszt, czas, popularność, efektywność, itp. W pracy spróbowano użyć jednej z metod MADM w odniesieniu do istotnych kryteriów w celu zapewnienia współzależności podejmowanych decyzji przez zarządzających. Wieloczynnikowe techniki podejmowania decyzji mają tą przewagę, że umożliwiają ocenę różnych opcji w zależności od różnych kryteriów, które nie mają wspólnej jednostki przeliczeniowej. Inną zaleta wieloczynnikowych technik podejmowania decyzji jest możliwość jednoczesnej analizy czynników jakościowych i ilościowych.
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EN
The majority of present-day dwelling houses were constructed in the previous century, when energy efficiency was not as important as now. Therefore, there is a necessity to assess existing dwelling houses and refurbish them to satisfy energy efficient requirement and humans’ needs. To cover the first part, authors of this paper continue their discussion on optimal leaving place started previously. In this paper based on concepts “passive house” and “active house”, standards of European Union (EU) and Lithuania, the concept “optimal environment” is refined and defined. According to the presented concept of optimal environment, the MADM-opt method, which is based on the concept of optimal alternative, is refined in the paper also. It is applied for the WASPAS method to assess an indoor environment of six apartments in similar brick houses. The results show that MADM-opt can be used for the assessment of alternatives and their evaluation according to the optimal alternative. Moreover, it allows determining deviation of the assessed alternatives from the optimal alternative.
EN
The presented study analyses the development and performance measures of research journals in the field of civil engineering. As the paper was prepared on the occasion of the 20th anniversary since the Journal of Civil Engineering and Management (JCEM) was founded, it presents detailed description of its evolution. This journal is currently ranked in the 12th position worldwide, based on the values of Impact Factors (IF) published by the Thomson Reuter's Institute for Scientific Information (ISI) Web of Knowledge Journal Citation Reports. JCEM entered the first quartile (Q1) of its peer journals based on its worldwide impact in “Engineering, Civil” category of the ISI Web of Science. However, it has been argued that the IF value is not the sole and possibly not the best measure of journal quality. A number of metrics as well as bibliometric indicators have been developed to measure the impact of scholarly journals. The paper proposes an integrated multiple criteria approach for ranking journals. The essence of the approach lies in the ability to rank journals considering several criteria simultaneously and applying Multiple Criteria Decision Making (MCDM) methods to derive the rankings. Journals from the Q1 quartile of the “Engineering, Civil” category of the Web of Science were analyzed based on seven indicators derived from Journal Citation Reports while applying Weighted Aggregated Sum Product Assessment (WASPAS) method. Integrated rankings with the use of this method were then compared with journal rankings based on their ISI Impact Factor values.
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