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EN
The construction industry is a vital sector that contributes to the economy’s development. On the other hand, it also contributes to the natural environment through emissions and waste. Moreover, the construction industry is under pressure to develop and adopt new technologies, tools and practices. A proper tool for selecting innovation is needed. This paper presents MCDA tool for construction companies, namely the Bellinger method. The proposed tool facilitates decision-making because it helps to choose between alternatives.
EN
The main objective of this paper is to present an example of the IT system implementation with advanced mathematical optimisation for job scheduling. The proposed genetic procedure leads to the Pareto front, and the application of the multiple criteria decision aiding (MCDA) approach allows extraction of the final solution. Definition of the key performance indicator (KPI), reflecting relevant features of the solutions, and the efficiency of the genetic procedure provide the Pareto front comprising the representative set of feasible solutions. The application of chosen MCDA, namely elimination et choix traduisant la réalité (ELECTRE) method, allows for the elicitation of the decision maker (DM) preferences and subsequently leads to the final solution. This solution fulfils all of the DM expectations and constitutes the best trade-off between considered KPIs. The proposed method is an efficient combination of genetic optimisation and the MCDA method.
EN
Deliberations on transport development indicate that planning is its most significant aspect. One of the key issues in planning is selecting infrastructure projects for completion that will contribute to achieving the development objectives. The important functions of planning, as well as its complexity, indicate the need to use solutions in the decision-making support field. In Poland, in the area of strategic planning of infrastructure development, methods of supporting decision-making aimed at selecting infrastructure projects, taking into account their degree of compliance with strategic goals, are currently not applied comprehensively. The paper aims to address this gap with MCDA solution basing on review of literature combined with the authors’ experience in transport planning. Therefore, authors presented a proposed tool for supporting decision-making in planning transport development on a strategic level. The presented method allows for assessing infrastructure development projects in road and rail transport. Such assessments take into account a number of criteria corresponding to the main development directions, i.e. sustainable development and quality of life. Due to the method of formulating development objectives, it has been decided that it will be advantageous to apply fuzzy logic, which enables using natural language in decision-making support systems. To allow practical application of fuzzy logic, the Fuzzy Logic Toolbox package available in the MATLAB environment has been employed. The developed model contains a structure along with defined linguistic variables reflecting the decision-making criteria; also, it includes membership functions, inference rules as well as assessment results. The paper also defines the algorithm of decision-making support procedure. For verification purposes, the decision support model was applied in several real-life project evaluation cases, including a variety of projects in construction, development, and renovation of rail and road infrastructure. The deliberations de scribed in this paper indicate the usefulness of fuzzy logic for supporting decision-making in planning transport development. It’s beneficial that the defined criteria can be applied in the case of projects in early preparation phase, enabling their practical application. Implementation of the solution in the MATLAB Fuzzy Logic Toolbox enables achieving fast results of the assessment of decision-maker preference level.
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.
PL
Integracja systemów informacji geograficznej (GIS) i wielokryterialnej analizy decyzji (MCDA) umożliwia przetwarzanie i analizowanie zarówno danych przestrzennych (geograficznych), jak i danych o preferencjach uczestników (decydentów) w celu uzyskania informacji wspierających planowanie przestrzenne i procesydecyzyjne. W MCDA preferencje decydenta wyrażone w kategoriach wag kryteriów, które są ocenami względnego znaczenia kryteriów, odgrywają kluczową rolę w wynikach analizy. Jest to subiektywny element MCDA, który wpływa na wyniki i dlatego jest przedmiotem krytyki. Aby rozwiązać ten problem, można zastosować złożone systemy wspomagania decyzji SDSS, które zawierają dodatkowe informacje do specyfikacji wag, umożliwiają wymianę informacji i prowadzą do współpracy między decydentami. W badaniu przedstawiono alternatywne podejście, które w jak największym stopniu upraszcza proces określania wag. Opracowano metodę uproszczonego głosowania nad rankingiem kryteriów, w której respondenci wskazują jedynie kolejność k pierwszych najważniejszych kryteriów, o nazwie FCPR (First Criteria Partial Ranking). Metoda pozwala określić preferencje grupowe na podstawie częściowych informacji, jest to "mądrość tłumów". Uzyskane wyniki potwierdziły skuteczność proponowanego podejścia uproszczonego. Uzyskane w ten sposób wagi nie różnią się znacząco od tych określanych bardziej skomplikowanymi metodami. Zastosowanie opracowanej metody może ułatwić masowy udział w procesie podejmowania decyzji przestrzennych.
EN
The Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) integration allow both spatial (geographical) data and data about participants' (decision makers') preferences to be processed and analyzed to obtain information supporting spatial planning and decision-making processes. In the MCDA, the decision-maker's preferences expressed in terms of criteria weights, which are the assessments of criteria' relative importance, play a key role in the analysis results. It is a subjective element of the MCDA that influences the results and is, therefore, the subject of criticism. To solve this problem, complex decision support systems SDSS can be used that involve additional information for the specification of weightings, enable information exchange, and lead to collaboration between decision-makers. The study presents an alternative approach that simplifies the process of determining weightings as much as possible. The method of a simplified vote on the ranking of criteria has been developed, in which respondents indicate only the order of the k first most important criteria, named FCPR (First Criteria Partial Ranking). The method allows determining group preferences based on partial information, this is “the wisdom of the crowds”. The results obtained confirmed the effectiveness of the proposed simplified approach. The weights obtained in this way do not differ significantly from those determined by more complicated methods. The application of the developed method may facilitate mass participation in the process of spatial decisions making.
6
Content available Review of PROMETHEE method in transportation
EN
In recent decades, decision support system has been constantly growing in the field of transportation planning. PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation) method is an efficient decision-making support deployed in case of a finite number of criteria. It provides a partial ranking through PROMETHEE I and a complete ranking with PROMETHEE II. This outranking methodology is characterized by the elimination of scale effects between criteria and managing incomparability with the comprehensive ranking. However, PROMETHEE does not provide guidance to assign weights to criteria and assumes that decision makers are able to allocate weights. This review presents an overview of PROMETHEE models applied in transportation and points out the found gaps in literature.
EN
In a negotiation process, knowing the preferences of the decision-maker and building a negotiation offer scoring system are very challenging tasks. There are many different methods that can be used to develop such a negotiation support tool, including, but not limited to, techniques based on the multiattribute utility theory (MAUT) or the outranking relation, for instance SAW, AHP or PROMETHEE II. In this paper we present the procedure of evaluating the negotiation template using an unconventional and inventive method called SIPRES, which combines the key elements of the revised Simos’ procedure and the ZAPROS method to elicit the negotiator’s preferences over some reference solutions. This transparent and easy to implement technique – thanks to the ZAPROS-like approach applied within it – allows the decision-makers to define their preferences in a simple manner, providing an effective method for analysing the trade-offs between the alternatives using selected reference alternatives only. Simultaneously, the revised Simos’ procedure, applied in the method, allows for determining the cardinal scores of the alternatives. Thus, sophisticated negotiation analyses can be carried out. As an illustrative example the problem of basketball contract negotiations is discussed.
EN
This paper deals with an issue of technical facilities location in a public transport system. The decision problem is formulated as a selection of the most advantageous alternative, i.e. the location of a new tram depot among the already existing facilities of this type. The selection is preceded by the evaluation of the alternatives. The assessment is not a trivial task, because there are many groups of interest with usually contradictory points of view. Therefore, the evaluation of the new tram depot locations should represent different aspects, e.g., economical, technical, environmental, and organizational. To handle such a complex decision problem the authors propose a methodology, which is a composition of the optimisation and multiple criteria evaluation techniques. The developed methodology is experimentally applied to the selection of one out of five tram depot locations in the public transport system of the city of Poznan, Poland. All the computational experiments are performed by means of optimization and multiple criteria decision aiding (MCDA) methods and tools, i.e. a linear optimization engine Solver Premium Platform and AHP method with its application AHORNsimple. The calculations are the basis for recommending the location of a new depot in the central part of the transport system network, which is a reasonable solution taking into account, e.g. the proximity of the main railway line, the possibility of triple distribution of the transport means from depot. The proposed methodology of the decision problem solution gives also an opportunity to create the hierarchy of considered tram depot locations as well as to compare the position in the ranking of the best solution with the existing one. Since the proposed methodology assumes the selection of the most suitable MCDA method to the problem under consideration and the decision maker’s preferences, it guarantees that the result of analysis becomes reliable and the decision aiding process is credible.
EN
The article presents the issues covering the modern methods of securing data in both manufacturing processes and companies within the concept of Industry 4.0. In this approach, research problems arose how to implement the right method of secure data sending in sales, manufacturing and distribution processes. It is a very important issue for manufacturing companies as well as how the process of sending electronic data should be safely conducted. While current researches concentrated on the method of blockchain secured electronic documents, there is almost no research concentrating on blockchain integrator selection criteria. The main purpose of this paper is to provide a decision assistance model based on multiple criteria decision analysis technique. Also, mutual relationships between parameters for the assessment of integrators are established. In the article, a Multi-Criteria Decision Analysis (MCDA) was used to assess these characteristics. The Decision Making Trial and Evaluation Laboratory (DEMATEL) technique was chosen for this assessment.
PL
Przedmiotem artykułu jest problem wyboru maszyn do wykonania robót montażowych. Wybór ten realizowany jest metodami MCDA, do których stosowania wykorzystuje się oceny rozwiązań przez pryzmat istotnych kryteriów z określeniem ich wag. W pracy przedstawiono wyniki badań ankietowych i ich analizę ustalające istotność i wagi kryteriów. Przeprowadzono badania wśród kierowników robót oraz planistów w polskich przedsiębiorstwach zajmujących się prowadzeniem robót montażowych, ustalając istotność 14 kryteriów - 9 technologicznych i 5 związanych z preferencjami wykonawców lub czynnikami ekonomiczno-rynkowymi. Celem badań ankietowych było ustalenie miar istotności kryteriów decydujących o wyborze rodzaju żurawi budowlanych, oraz ocena żurawi względem tych kryteriów.
EN
Crane selection is an important issue in assembly works planning. Tower and telescopic, stationary and mobile cranes used in construction have essentially different properties. Assembly planning begins in analyzing the possibilities of assembly with a given crane. This is called technical aspect of crane selection. Cranes that meet the technical criteria are then analyzed in terms of other criteria related to the effectiveness of their use on the construction site. The article presents the assessment of the selection criteria and the method of crane selection itself. Surveys conducted among construction managers and planners in Polish companies dealing with assembly works allowed to determine the significance of the selection criteria. For this purpose, an example using SAW (Simple Additive Weighting) and FSAW (Fuzzy Simple Additive Weighting) methods was presented. They also allowed to propose a technique for determining preferences in the use of selected construction cranes. The aim of the research was to increase the usability of computer applications supporting assembly planning by acquiring expert knowledge for the initial selection of organizational solutions.
EN
The article presents the issues covering the modern ERP cloud systems for manufacturing companies within the currently developed concept Industry 4.0. In this approach, research problems arose as to which parameters and characteristics of ERP cloud systems are the most important from the point of view of manufacturing companies as well as how the process of choosing an ERP system should be conducted. In addition, mutual relationships between these parameters were established. In the article, a multi-criteria decision analysis (MCDA) was used to assess these characteristics. The Decision making trial and evaluation laboratory (DEMATEL) technique was chosen for this assessment. The article can be useful to people interested in modern IT solutions in the production industries.
12
Content available Selection of floor heating by MCDA method
EN
Using Multiple-criteria Decision Analysis (MCDA), the most favorable floor heating system of a detached house has been selected. The analysis also includes an assessment of the performance of this type of heating on small surfaces (up to 20m2). The choice was made among eight heating variants, adopting various systems available on the construction market powered by water or electricity, including traditional with "wet" screeds, "dry" screeds and lightweight floor heating systems without Screeds. From the set of 14 evaluation criteria, the eight most important ones were identified. Using the summed corrected indicator of mathematical analysis, it was assessed that the best variant is a lightweight floor water heating system on a reactive adhesive without screeds with aluminum foil.
EN
Analogies between the life cycle assessment (LCA) and multicriteria decision analysis (MCDA) methodologies have been discussed as well as LCA as an MCDA problem for resolving the trade-offs between multiple environmental objectives. The objective of this study is to compare a variety of specialised multicriteria methods and knowledge-based methods used to aggregate the results from LCA. The studies were conducted using examples of LCA on private passenger vehicles. The research used two classical methods for multicriteria decision making (AHP and TOPSIS), the method of conventional (crisp) reasoning and Mamdani’s method of fuzzy inference. The results demonstrate that among the methods analysed, only crisp reasoning does not provide satisfactory results.
EN
Site selection is one of the basic vital decisions in the start-up process, expansion or relocation of businesses of all kinds. Construction of a new industrial system in the form of solar photovoltaic power plant is a major long-term investment, and in this sense determining the location is critical point on the road to success or failure of industrial system. One of the main objectives in industrial site selection is finding the most appropriate site with desired conditions defined by the selection criteria. This work suggests how to define and classify particular criteria considered for solar PV farm siting. Multi-criteria decision analysis (MCDA) is proposed as a method to process available technical information to support decisions in many fields, especially in environmental decision making. In some cases, due to the lack of reliable information on the impact of various natural factors on the economic activity related to the use of land resources, the method of expert assessments can be used. The peculiarity of this method is the lack of empirical evidence of the influence of a given factor on the final result of decision-making. In this case the value of separate factor is judged by experts. When applying this method, expert groups are formed of leading specialists, the main influence factors is established, a questionnaire and a scale of criteria are compiled. Level of reliability of the results is assessed by the coefficient of concordance.
PL
Cechą charakterystyczną układu zasilania komunikacji trolejbusowej jest jego losowa natura spowodowana przez kongestię ruchu drogowego. Fakt ten predestynuje statystyczne i numeryczne metody dla celów analizy trakcyjnego układu zasilania. W artykule zaprezentowano 3 metody analizy trolejbusowego systemu energetycznego: symulację układu zasilania za pomocą metody Monte Carlo, analizę potencjału rekuperacji energii hamowania za pomocą statystycznej analizy danych oraz ocenę układu zasilania przy użyciu Wielokryterialnej Analizy Porównawczej - metody Data Envelopment Analysis (DEA).
EN
A characteristic feature of trolleybus transport is the random nature of traffic caused by congestion. It predestinates statistical and numerical methods for the analysis of trolleybus energy system. There are presented 3 methods of trolleybus traction system analysis: simulation of supply system based on Monte Carlo method, analysis of energy recovery potential based on statistical data analysis and benchmark of trolleybus supply system by one of Multiple Criteria Data Analysis - Data Envelopment Analysis (DEA) method. Paper refers to the author's practical experience with exploitation, analysis and calculation of trolleybus energetic systems. The emphasis is put on practical aspect of application of numerical methods in engineers work.
PL
Pracę poświęcono autorskiemu, wielometodowemu sposobowi wspomagania wyboru dostawców w łańcuchu dostaw z uwzględnieniem zróżnicowanych wymagań związanych z realizacją postulatów zrównoważonego rozwoju. Zaprezentowano przykład ilustrujący zastosowanie propozycji autorów. Dotyczy on wyboru dostawcy mieszanki betonowej na miejsce realizacji inwestycji budowlanej. W trakcie wyboru uwzględniono kryterium kwantytatywne (kosztu dostaw) i 4 kryteria kwalitatywne związane z jakością: obsługi klienta, mieszanki i dostaw oraz elastyczności dostawcy. Przy tym dla określenia wartości kryteriów jakości użyto specyficznych klas zaproponowanych w kwalitologii. W rezultacie zastosowania kompromisowego rozwiązywania zagadnień wielokryterialnych VIKOR i rangowania na podstawie przepływów przewagi SIR zredukowano zbiór oferentów do dwóch, spośród sześciu początkowo rozpatrywanych, niezdominowanych oferentów. Ostatecznie najlepszego z nich ujawniły rezultaty zastosowania metody DANP. Warto także zauważyć, że uniwersalny i elastyczny charakter wykorzystanych metod i możliwość uwzględniania przy ich pomocy kryteriów o różnym charakterze sprzyja zastosowaniu przedstawionego sposobu do wiarygodnego rozwiązywania różnych zagadnień decyzyjnych łańcucha dostaw.
EN
A multi-method approach for selecting suppliers in supply chain is discussed in the paper. Sustainable development issues are also dealt with in this regard. A sample analysis is presented. The analysis deals with the choice of a concrete mix supplier. A quantitative criterion of costs and 4 qualitative criteria, namely: service quality, mixed concrete quality, supply quality and supplier flexibility are included while evaluating available 6 suppliers. It is worth noticing that quality criteria are expressed by universal means of quality classes that result from qualitology. Results obtained by VIKOR and SIR methods seem to be capable of limiting a set of all suppliers considerably, and DANP seems to provide necessary means for selecting the best supplier. It is worth noticing that the proposed approach allows application of supplier evaluation criteria of different kinds and including interrelations between them, and proves universal and flexible enough to prove useful for solving other decision making problems in supply chains.
PL
W pracy przedstawiono elastyczne podejście sprzyjające wiarygodnemu, kompromisowemu wyborowi dostawców z uwzględnieniem kontekstu zrównoważonego rozwoju. Wykorzystano przy tym szereg metod wielokryterialnego wspomagania decyzji MCDA. Dla wiarygodnego ujęcia wpływu współzależności między kryteriami oceny zastosowano sprzężenie metod DEMATEL oraz analizy sieciowej procesów ANP w postaci DANP. Wybór dostawcy wynika z rankingów otrzymanych wynikających z zastosowania 3 różnych metod. Pierwsza z nich – VIKOR – ułatwia osiąganie kompromisu między wymaganiami, opisanymi przy pomocy kryteriów oceny ekspertów. Natomiast druga – SIR – stanowi unikalne narzędzie wielokryterialnej analizy decyzji wykorzystujące idee wynikające z metodyki relacji przewyższania. Uzyskane w ten sposób rezultaty uzupełniono wynikami zastosowania DANP.
EN
A flexible approach is discussed in the paper that delivers appropriate means for a reliable supplier choice while addressing sustainable development needs. Several MCDA ranking techniques, namely: DEMATEL, ANP, VIKOR, and SIR are combined in this regard. A joint application of DEMATEL and ANP (DANP) facilitates including interconnections between supplier evaluation criteria reliably. Final supplier recommendation is delivered by means of 3 distinct rankings. They result from the simultaneous utilization of VIKOR, SIR, and DANP, respectively. VIKOR application is capable of delivering a trade-off ranking of considered suppliers, while SIR is a unique MCDA technique that makes use of an outranking relation methodology rules. Results obtained by means of VIKOR and SIR utilization are finally confronted with outcomes resulting from DANP application to recommend a reliable and supplier choice.
EN
Numerous problems that emerge in the process of project management can be presented as multi-criteria issues and solved with the help of appropriate methods. The contracting authority, selecting one tender out of many available tenders, assesses them, taking into account various criteria, e.g. price, expected execution time and the contractor’s experience. The owner of a company intending to purchase the fixed assets requisite for the realization of the project behaves similarly, i.e. the most advantageous model of the device is chosen, taking into account not only its price but also production capacity, energy intensity, noise emission, service availability, etc. From among many concepts, the investor has to choose a solution which frequently constitutes a compromise between price, functional properties, durability and aesthetics of performance, as well as safety of the utilization and impact on the environment. The choice of an investment location depends not only on the market, financial and supply factors, but also on so called soft factors such as the perceived quality of institutions and the attitude of local communities. All such situations can be described in the same way: taking into account preferences of the decision maker, the best possible choice must be made out of a finite set of alternatives evaluated according to a finite set of criteria. There are many different methods that can be used to aid a decision maker in this choice, including, but not limited to, techniques based on the outranking relation, verbal decision analysis and the MACBETH method. In this article, they will be compared and their applicability to different types of decision making problems will be considered. Furthermore, the PROMETHEE II method with a veto threshold will be presented within the text. Because the application of project management in the wedding planning business has gained wide popularity, as an illustrative example an empirical study of selecting the best venue for a wedding reception will be elaborated.
EN
The authors present the multicriteria decision problems in the IT project management within knowledge areas and process groups defined in PMBOK. PMBOK is a recognized standard for the project managers, published by PMI (Project Management Institute). PMBOK doesn't address multicriteria decision problems or MCDA methods. This article is going to fill this gap. The authors define the decision problems crucial from the project stakeholders perspective. The sample decision problem of selecting a time compression technique is presented.
EN
Effectiveness of real decisions made with regard to management of power energy production systems depends on numerous, conflicting criteria. Due to a need for sustainable development, traditional—economical criterion should be accompanied by other criteria to make a decision analysis more thorough. Therefore, application of multi-criteria decision analysis (MCDA) methods is required. Additionally, utilized approach should be able to deal with inevitable uncertainty and intangibility of considered problems effectively. Finally, a practical presentation of some promising MCDA methods is included.
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