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1

Hybrid use of Borda count and PROMETHEE method for maintenance strategy selection problem

Oufella Sarah

Foundations of Computing and Decision Sciences

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2024

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Vol. 49, No. 2

139--160

EN

For long-term success, organizations and manufacturing companies must exploit the potential strengths of collective decision making in maintenance management. The maintenance strategy selection issue has been studied in a single decision-maker framework for a long time. This research is one of the first attempts at dealing with the enhancement of maintenance management through the participation of stakeholders in the decision making process. In this context, the author introduces a participatory multi criteria decision model that combines Borda count and PROMETHEE methodology to select the most appropriate maintenance strategy; in accordance with the decision makers’ preferences on a set of strategies evaluated according to conflicting criteria. Therefore, the PROMETHEE II method is used to manage the individual decisions of each stakeholder, while the Borda count is in charge of collectively selecting the best maintenance strategy, taking as a starting point stakeholder's preferences being established thanks to PROMETHEE II. In the same context, the proposed model was applied to a real scenario: a textile company, and can be easily replicated in other industries.

2

Selection of Robot for Contour Crafting Using Analytical Hierarchy Process

Senthilraja S., Raja Muthaiah R.C.

Civil and Environmental Engineering Reports

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2023

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Vol. 33, no. 4

123--150

EN

The use of robotic equipment and a new technique called contour crafting allows for the construction of buildings at lower labor and material costs. The selection of the type of robot is an important factor that affects the overall performance of the contour crafting (CC) system. Various robot configurations, such as gantry, cylindrical, and SCARA, may be employed for contour crafting. There are benefits and drawbacks to using different types of robots for various tasks, including cost, work volume, material compatibility, and precision. Identifying a proper robot using the multi-criterion decision-making (MCDM) technique is crucial for successful building automation. This article uses the analytical hierarchy process (AHP) method to rank the best robots according to several characteristics. Cartesian robots, cylindrical robots, and SCARA robots were evaluated based on cost, accuracy, work volume, surface finish, type of profile, and speed. The results showed that the gantry-type robot is the most suitable option, while the cylindrical robot is unsuitable for building construction due to lower accuracy.

3

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.

4

Comparative analysis of multi-criteria decision making methods for the assessment of optimal SVC location

Aydin Faruk, Gümüş Bilal

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2022

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Vol. 70, nr 2

art. no. e140555

EN

The goal of multi-criteria decision making (MCDM) is to select the most appropriate of the alternatives by evaluating many conflicting criteria together. MCDM methods are widely available in the literature and have been used in various energy problems. The key problems studied in electrical power systems in recent years have included voltage instability and voltage collapse. Different flexible alternating current transmission systems (FACTS) equipment has been used for this purpose for decades, increasing voltage stability while enhancing system efficiency, reliability and quality of supply, and offering environmental benefits. Finding the best locations for these devices in terms of voltage stability in actual electrical networks poses a serious problem. Many criteria should be considered when determining the most suitable location for the controller. The aim of this paper is to provide a comparative analysis of MCDM techniques to be used for optimal location of a static VAR compensator (SVC) device in terms of voltage stability. The ideal location can be determined by means of sorting according to priority criteria. The proposed approach was carried out using the Power System Analysis Toolbox (PSAT) in MATLAB in the IEEE 14-bus test system. Using ten different MCDM methods, the most appropriate locations were compared among themselves and a single ranking list was obtained, integrated with the Borda count method, which is a data fusion technique. The application results showed that the methods used are consistent among themselves. It was revealed that the integrated model was an appropriate method that could be used for optimal location selection, providing reliable and satisfactory results to power system planners.

5

Using TOPSIS and AHP Methods in Job Distribution to Subcontractors in Apparel Companies and Comparing the Results

Bulur Öykü Ceren, Kayar Mahmut

Fibres & Textiles in Eastern Europe

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2021

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Vol. 29, no. 4 (148)

24--31

EN

The ready-to-wear sector is one of the areas where outsourcing is used extensively due to reasons such as being a labour-intensive sector, having a wide range of products, and the time pressure caused by the very short shelf life of the product. Therefore, garment companies work with a large number of subcontractors, which raises the problem as to which subcontractor/subcontractors work will be distributed to as well as how much to each subcontractor. Using multi-criteria decision-making methods in solving this complex problem helps decision-makers make the right decisions. From this point of view, multi-criteria decision-making methods are very important decision-making tools in terms of the optimal distribution of work to subcontractors. Within the scope of the study, the TOPSIS and AHP methods were used to distribute orders to subcontractors and compared.

PL

Sektor odzieżowy jest jednym z obszarów, w których szeroko stosowany jest outsourcing, głównie z takich powodów, jak: pracochłonność sektora, szeroka gama produktów oraz presja czasowa spowodowana bardzo krótkim okresem trwałości produktu. Dlatego firmy odzieżowe współpracują z dużą liczbą podwykonawców, co rodzi problem, do jakiego podwykonawcy/podwykonawców zostanie przydzielona praca, a także do jakiej kwoty zostanie przydzielona każdemu z podwykonawców. W podejmowaniu właściwych decyzji w kwestii tego złożonego problemu pomaga decydentom możliwość korzystania z wielokryterialnych metod podejmowania decyzji. Z tego punktu widzenia wielokryterialne metody podejmowania decyzji są bardzo ważnymi narzędziami decyzyjnymi z punktu widzenia optymalnego podziału pracy na podwykonawców. W ramach badania wykorzystano metody TOPSIS i AHP do dystrybucji zamówień do podwykonawców i porównano je.

6

Time period based COPRAS-G method : application on the Logistics Performance Index

Mercangoz Burcu Adiguzel, Yildirim Bahadır F., Yildirim Sultan Kuzu

LogForum

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2020

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Vol. 16, no. 2

239--250

EN

Background: Logistics is vital for the trades of countries. The inputs such as raw materials and energy that is needed for production and also the outputs of these processes are transported and distributed effectively as a result of an efficient logistics process. In order to measure the logistics performance of countries, The World Bank (WB) is publishing an index entitled Logistics Performance for every two years. Methods: The main value of this study is to provide logistics performance scores of the selected countries for a selected time period. Thus, periodic evaluations can be done for a selected time period. The grey numbers are used for determining a new dataset for a time period and implement to Complex Proportional Assessment of Alternatives (COPRAS) method. 28 European Union (EU) member states plus 5 EU Candidate Countries are ranked by using the COPRAS-Grey (COPRAS-G) method according to their logistics performance scores. In order to see if the ranking calculated by COPRAS-G is representing the past index data, the bilateral comparisons of the rankings are investigated by using the Spearman Rank and Kendall’s Tau Correlation methods. Results: The results showed that the dataset obtained by using grey numbers represent the LPI scores of the countries for the selected time period. Although there are slight differences between the Spearman and Kendall correlation coefficients, the ultimate result is the same. The ranking calculated by COPRAS-G has the strongest relationship with all rankings published by WB. Conclusions: By using the grey numbers combined with the COPRAS-G method, the LPI of Countries can be evaluated for a time period.

PL

Wstęp: Logistyka jest istotną częścią handlu wielu krajów. Wkład w postaci surowców oraz energii jest niezbędny w procesie produkcji, wymaga on jednak najczęściej transportu, tak samo jak i wyroby finalne uzyskanie w procesie produkcji, zrealizowanego w efektywny sposób jako element całego procesu logistycznego. W celu pomiaru tego procesu w różnych krajach, Bank Światowy publikuje w okresach dwuletnich dane dotyczące aktywności logistycznych. Metody: Podstawowym celem tej pracy jest dostarczenie oceny działalności logistycznej wybranych krajów w wybranym okresie czasu. Liczby szare są stosowane do określenia danych dla danego okresu oraz zastosowania metody Complex Proportional Assessment of Alternatives (COPRAS). Stworzono ranking sprawności logistycznej obejmujący 28 państw członkowskich UE oraz 5 państw kandydujących do EU. W celu oszacowania poprawności danych wyliczonych przy pomocy metody COPRAS, wykonano podwójne porównanie otrzymanych rankingów przy użyciu metod Spearman Rank oraz korelacji Kendalla Tau. Wyniki: Uzyskane wyniki pokazują, że dane otrzymane poprzez użyciu liczb szarych reprezentują dane LPI badanych krajów w wybranym okresie. Występujące różnice, ujawnione w postaci współczynników korelacji Spearman i Kendall, nie są istotne. Ranking uzyskany w oparciu o metodę COPRAS-G wykazuje silną korelację ze wszystkimi rankingami publikowanymi przez Bank Światowy. Wnioski: Wskaźnik LPI dla wybranych krajów na założony okres został wyliczony poprzez zastosowanie liczb szarych w połączeniu z metodą COPRAS-G.

7

The assessment of the logistics performance index of CEE countries with the new combination of SV and MABAC methods

Isik Ozcan, Aydin Yuksel, Kosaroglu Serife Merve

LogForum

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2020

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Vol. 16, no. 4

549--559

EN

Background: The increase in global trade has caused logistics activities to be an important tool in providing strategic competitive advantage on a global scale. The logistics industry, which helps to facilitate the activities related to the movement of goods in the supply chain, is one of the fastest-growing sectors and has important effects on the economic performance of the countries. Measuring and evaluating the logistics performance of countries can enable them to reach their goals of achieving sustainable competitive advantage by revealing the strengths and weaknesses of logistics services in the entire supply chain. In this regard, the purpose of this study is to analyze and rank logistics performance in terms of selected 11 Central and Eastern European Countries (CEECs). Methods: In this study, the SV (Statistical Variance) and the MABAC (Multi-Attributive Border Approximation area Comparison) methods are used to form a decision-making model in evaluating the logistic performance. In logistics performance evaluation, the SV method is used to weight the selected performance criteria, whereas the MABAC method is employed to evaluate and rank the logistics performance of CEECs. Results: The results obtained from the SV method demonstrates that timeliness and infrastructure are the most and least significant performance criteria, respectively. According to the performance ranking of the countries by the MABAC method, the countries in the top three rankings are the Czech Republic, Poland and Hungary, respectively. Conclusions: The fact that the ranking of the proposed hybrid model is the same as the original logistics performance index (LPI) ranking of the selected countries suggests that the proposed model is consistent.

PL

Wstęp: Wzrost globalnego handlu jest przyczyną wzrostu ważności działalności logistycznej jako narzędzia służącego do uzyskiwania przewagi konkurencyjnej na globalną skalę. Branża logistyczna, która wspomaga wszelkie czynności związane z przepływem towarów w obrębie łańcucha dostaw, jest jednym z najszybciej rosnących sektorów i ma istotny wpływ na ekonomiczne wyniki krajów. Pomiar oraz ocena sprawności logistycznej krajów umożliwia im osiągnięcie postawionych celów w uzyskaniu zrównoważonej przewagi konkurencyjnej poprzez ujawnienie słabych i mocnych stron swoich usług logistycznych w obrębie całego łańcucha dostaw. Celem pracy jest analiza i stworzenie rankingu działalności logistycznej wybranych 11 krajów Europy Środkowo-Wschodniej. Metody: W pracy zastosowano metody SV (Statistical Variance) oraz MABAC (Multi-Attributive Border Approximation area Comparison) dla zbudowania modelu podejmowania decyzji odnośnie oceny działalności logistycznej. Dla oceny działalności logistycznej, metoda SV została zastosowana do wyznaczenia wagi poszczególnych kryteriów oceny, podczas gdy metoda MABAC została używana do oceny i tworzenia rankingu działalności logisty stycznej krajów Europy Środkowo-Wschodniej. Wyniki: Wyniki uzyskane przy użyciu metody SV pokazują, że terminowość oraz infrastruktura jest najważniejszymi kryteriami oceny działalności. Zgodnie ze stworzonym rankingiem przy pomocy metody MABAC, najwyżej ocenionymi krajami były: Czechy, Polska i Węgry. Wnioski: Ranking uzyskany za pomocą opracowanej metody jest taki sam jak przy użyciu oryginalnego współczynnika działalności logistycznej (LPI), co dowodzi poprawności wypracowanego modelu.

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Multicriteria Decision Making (MCDM) for evaluation of different transportation alternatives: A case of Rawalpindi bypass Pakistan

Shakir M. K., Khurshid M. B., Iqbal J., Adeel M.

Journal of Sustainable Development of Transport and Logistics

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2018

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Vol. 3, No. 3

38--54

EN

Safe, efficient and user-friendly transportation of people and goods have been a premier point of concern for all the developed and the developing countries around the globe. National Highway N-5 or GT road is the most important highway link in Pakistan. It carries about 80% of the country freight traffic. When this heavy traffic passes through the twin cities of Rawalpindi and Islamabad, it causes congestion and environmental hazards particularly in business centers of Rawalpindi city. Because of this heavy traffic volume passing through the cities situated along N-5, bypasses to all of them have been provided however, Rawalpindi is the only city along N5 which is still without a bypass. A bypass to Rawalpindi city is, therefore, inevitable. Besides this, the Bypass will also provide a short access to the traffic on the Motorway (M2) destined for the western part of Rawalpindi. For this research work, Rawalpindi Bypass is taken as a hypothetical scenario and is evaluated for its benefits. Besides addition to the networks of highways across Pakistan, this bypass has many other benefits which include a decrease in congestion from Islamabad and Rawalpindi main arteries (ISB Highway and IJP Road) that results in travel time savings, vehicle operating cost savings, safety savings, and reduced air pollution. This research aims to produce an engineering and scientific comparison of various costs and benefits associated with the road agency and users about the construction of an alternative. The Project involves transportation demand estimation on different segments of the National and Arterial roads, Project Costs, travel time savings, safety saving, vehicle operating cost savings, economic efficiency analysis, Air quality impact and multi criterion transportation decision making. The transportation decision making process usually involves the evaluation of effectiveness and efficiency of an alternative decision with respect to a base case DO-NOTHING Scenario. The authors have taken the existing roadway structure with no improvements as DO-NOTHING Scenario, whereas the construction of Rawalpindi Bypass (60 km) with 2 lanes in each direction is taken as Alternative B and Rawalpindi Bypass (51 km) as Alternative C. Multi criteria decision making technique is used for decision because of multiple options with different dimensions, both monetary and non-monetary. Basing of MCDM this study recommends Alternative C (51 km) for Rawalpindi Bypass.