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    Wyświetlanie 1-19 z 19
    Tytuł:
    A generalization of the Zionts-Wallenius multiple criteria decision making algorithm
    Autorzy:
    Kaliszewski, I.
    Zionts, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/970490.pdf
    Data publikacji:
    2004
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    wielokryterialne podejmowanie decyzji
    zagadnienie wypukłe
    zamiana
    selekcja portfela
    multiple criteria decision making
    convex problems
    trade-off
    portfolio selection
    Opis:
    In multicriteria problem solving, much can be learned by observing the decision-making process. Some, if not many, of the theoretical constructs used in some academically-generated models are simply not necessary. Taking this into account, we generalize the Zionts-Wallenius Multiple Criteria Decision Making Algorithm. We generalize the approach so that it can solve general convex problems. We do this by drawing from other methods, and by incorporating what we have learned in our work. To deal with the class of convex problems we face, we broaden the concept of tradeoff, and use global tradeoffs. Theory is developed, and then a method incorporating the theory is presented. A small example is included. We discuss how our development enriches decision-making tools currently available. We discuss applications in finance and technology.
    Źródło:
    Control and Cybernetics; 2004, 33, 3; 477-500
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Management decision-making algorithm development for planning activities that reduce the production risk level
    Autorzy:
    Kruzhilko, O.
    Maystrenko, V.
    Powiązania:
    https://bibliotekanauki.pl/articles/368696.pdf
    Data publikacji:
    2019
    Wydawca:
    Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
    Tematy:
    safety and health management
    risk assessment
    algorithmization
    zarządzanie bezpieczeństwem i higieną pracy
    ocena ryzyka
    algorytmizacja
    Opis:
    Purpose: Algorithm development for a measures phased expert assessment to reduce production risk at an industrial enterprise to adapt the expert method to the conditions for specific problem solving. Design/methodology/approach: To develop an algorithm for making management decisions, a step-by-step solution process was used. If the problem is solved under conditions of complete or partial uncertainty, an expert method of estimation was applied. In the mathematical model of management decision-making used criterion approach. At the same time, the methods of Sevij, Wald, and Hurwitz are considered to determine the criterion for choosing management decisions. Findings: A phased expert assessment of measures that reduce production risk at an industrial enterprise with the introduction of weighting factors in specified criteria is proposed. The expediency of applying the method of expert assessments and the Hurwitz criterion when planning measures to reduce industrial injuries is justified, since this approach links the preventive measures in the field of labour protection with the results of risk assessment and reduces subjectivity in making management decisions. Research limitations/implications: The proposed algorithm for expert assessment of measures to reduce production risk is universal for industrial enterprises. Practical implications: An algorithm has been developed to substantiate managerial decisions to reduce the production risks of the occurrence of traumatic events when planning preventive measures, which involves applying criteria for selecting measures based on the method of expert assessments and applying the Gurwitz criterion. Originality/value: Developed a consistent model of industrial risk management, which is based on a component method of assessing the risk of traumatic events and a mathematical model of management decisions. This model differs from the existing ones, taking into account all available risk-relevant information of the enterprise, stimulates preventive activity, and allows establishing the dependence of the level of industrial risk on the validity of measures on occupational safety and reducing the influence of the subjective component of expert judgments.
    Źródło:
    Journal of Achievements in Materials and Manufacturing Engineering; 2019, 93, 1-2; 41-49
    1734-8412
    Pojawia się w:
    Journal of Achievements in Materials and Manufacturing Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Machine vision in autonomous vehicles: designing and testing the decision making algorithm based on entity attribute value model
    Autorzy:
    Shubenkova, Ksenia
    Zabinski, Krzysztof
    Powiązania:
    https://bibliotekanauki.pl/articles/2056098.pdf
    Data publikacji:
    2021
    Wydawca:
    Sieć Badawcza Łukasiewicz. Przemysłowy Instytut Motoryzacji
    Tematy:
    autonomous driving
    unmanned vehicle
    machine vision
    decision rules
    Decision Table
    Opis:
    If we speak about the Smart City’s transport system, autonomous vehicles idea is the first thing that comes to mind. Today, it is strongly believed that the autonomous vehicles’ introduction into the traffic will increase the road safety. However, driverless cars are not the solution by itself. The road safety and, accordingly, sustainability will strongly depend on decision making algorithms inbuilt into the control module. Therefore, the goal of our research is to design and test the data mining algorithm based on Entity–Attribute–Value (EAV) model for decision making in the Intelligent System in the fully- or semi-autonomous vehicles. In this article, we describe the methodology to create 3 main modules of the designed Intelligent System: (1) an Object detection module; (2) a Data analysis module; (3) a Knowledge database built on decision rules generated with the help of our data mining algorithm. To build the Decision Table on the base of the real data, we have tested our algorithm on a simple collection of photos from a Polish two-lane road. Generated rules provide comparable classification results to the dynamic programming approach for optimization of decision rules relative to length or support. However, our decision making algorithm thanks to excluding the mistakes made on the object detection stage, works faster than existing ones with the same level of correctness.
    Źródło:
    Archiwum Motoryzacji; 2021, 94, 4; 27--37
    1234-754X
    2084-476X
    Pojawia się w:
    Archiwum Motoryzacji
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Conversion timing of seafarer’s decision-making for unmanned ship navigation
    Autorzy:
    Zhang, R. L.
    Furusho, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/116734.pdf
    Data publikacji:
    2017
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    maritime safety
    unmanned ship
    unmanned ship navigation
    on-board decision-making
    decision-making algorithm
    conversion timing
    bayesian risk prediction
    seafarers
    Opis:
    The aim of this study is to construct an unmanned ship swarms monitoring model to improve autonomous decision-making efficiency and safety performance of unmanned ship navigation. A framework is proposed to determine the relationship between on-board decision-making and shore side monitoring, the process of ship data detection, tracking, analysis and loss, and the application of decision-making algorithm, to discuss the different risk responses of specific unmanned ship types under various latent hazard environments, particularly in terms of precise conversion timing in switching over to remote control and full manual monitoring, to ensure safe navigation when the capability of automatic risk response inadequate. This frame-work makes it easier to train data and the adjustment for machine learning based on Bayesian risk prediction. It can be concluded that the automation level can be increased and the workload of shore-based seafarers can be reduced easily.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2017, 11, 3; 463-468
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Control of the workplace environment by physical factors and SMART monitoring
    Autorzy:
    Kruzhilko, O.
    Polukarov, O.
    Vambol, S.
    Vambol, V.
    Khan, N. A.
    Maystrenko, V.
    Kalinchyk, V. P.
    Khan, A. H.
    Powiązania:
    https://bibliotekanauki.pl/articles/1818508.pdf
    Data publikacji:
    2020
    Wydawca:
    Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
    Tematy:
    environmental physical factors
    occupational health
    monitoring
    occupational health and safety management system
    decision-making algorithm
    środowiskowe czynniki fizyczne
    zdrowie zawodowe
    monitorowanie
    system zarządzania bezpieczeństwem i higieną pracy
    algorytm decyzyjny
    Opis:
    Purpose: To develop and implementation in practice an algorithm for smart monitoring of workplace environmental physical factors for occupational health and safety (OSH) management. Design/methodology/approach: A brief conceptual analysis of existing approaches to workplace environmental physical factors monitoring was conducted and reasonably suggest a decision-making algorithm to reduce the negative impact of this factors as an element of the OSH management system. Findings: An algorithm has been developed that provides continual improvement of the OSH management system to improve overall labour productivity and which has 3 key positive features: (1) improved data collection, (2) improved data transfer and (3) operational determination of the working conditions class. Research limitations/implications: The implementation of the proposed algorithm for substantiating managerial decisions to reduce the negative impact of workplace physical factors is shown by the example of four workplace environmental physical factors in the products manufacture from glass. Practical implications: If management decisions on the implementation of protective measures are taken in accordance with the proposed monitoring algorithm, these decisions will be timely and justified. This makes it possible to reduce the time of the dangerous effects of physical factors on the health of workers and reduce the level of these factors to improve working conditions. That is, an algorithm is proposed that provides continuous improvement of the OSH management system to increase overall labour productivity. Originality/value: Current monitoring of workplace environmental physical factors values are carried out in accordance with the justified monitoring intervals for each factor that provides the necessary and sufficient amount of data and eliminates the transfer of useless data.
    Źródło:
    Archives of Materials Science and Engineering; 2020, 103, 1; 18--29
    1897-2764
    Pojawia się w:
    Archives of Materials Science and Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Algorytm postępowania decyzyjnego w działalności innowacyjnej przedsiębiorstw
    Algorithm of decision making procedure in enterprises innovative activity
    Autorzy:
    Sałek, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/325436.pdf
    Data publikacji:
    2014
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    algorytmy decyzyjne
    modele decyzyjne
    innowacyjność
    zarządzanie przedsiębiorstwem
    decision algorithms
    decision-making models
    innovativeness
    enterprise management
    Opis:
    Innowacyjność współczesnych przedsiębiorstw w dużym stopniu odzwierciedla ich działalność rynkową, stanowi również wyznacznik ich możliwości rozwojowych. Procesy decyzyjne stanowią fundament dla prawidłowego funkcjonowania każdego przedsiębiorstwa. Ich ustalony i sprawny przebieg często decyduje o sukcesie lub porażce w rozwiązywaniu danego problemu. Zastosowanie odpowiednich narzędzi, które w sposób czytelny wspomagają podejmowanie decyzji, w znaczący sposób może się przyczyniać do tworzenia skutecznej strategii innowacyjności.
    Innovativeness of modern enterprises a large extent reflects their market activities, and is also a determinant of their development opportunities. Decision-making processes are the foundation for the proper functioning of any enterprise. Their defined and efficient course often determines between success and failure in solving a given problem. Application of appropriate tools, which clearly support the decision-making in a meaningful way, could contribute for creating a successful innovation strategy.
    Źródło:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2014, 68; 243-253
    1641-3466
    Pojawia się w:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Decyzje w sytuacjach konfliktów moralnych
    Decisions in Moral Conflict Situations
    Autorzy:
    Banajski, Ryszard
    Powiązania:
    https://bibliotekanauki.pl/articles/469142.pdf
    Data publikacji:
    2006
    Wydawca:
    Polska Akademia Nauk. Instytut Filozofii i Socjologii PAN
    Tematy:
    moral conflict
    hypothesis on conflict background of morality
    technology of ethics
    algorithm of decision making in conflict situations
    Opis:
    Analyzing the character of moral conflict and a hypothesis on the conflict background of morality, the author refers to J. Pawlica’s ideas on the technology of ethics as a new branch of ethics, dealing with ethical decisions (apart from descriptive and normative ethics) as well as K. Szaniawski’s proposal to solve moral conflicts by means of appropriate tools of the decision theory. The article results in an attempt to formulate the algorithm of decision making in moral conflict situations.
    Źródło:
    Prakseologia; 2006, 146; 113-122
    0079-4872
    Pojawia się w:
    Prakseologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On an algorithm for decision-making for the optimization of disease prediction at the primary health care level using neural network clustering
    Autorzy:
    Selskyy, Petro
    Vakulenko, Dmytro
    Televiak, Anatolii
    Veresiuk, Taras
    Powiązania:
    https://bibliotekanauki.pl/articles/551653.pdf
    Data publikacji:
    2018
    Wydawca:
    Stowarzyszenie Przyjaciół Medycyny Rodzinnej i Lekarzy Rodzinnych
    Tematy:
    primary health care
    ypertension
    algorithms
    eural networks (computer) cluster analysis.
    Źródło:
    Family Medicine & Primary Care Review; 2018, 2; 171-175
    1734-3402
    Pojawia się w:
    Family Medicine & Primary Care Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Decision Accuracy for the Relevant-Irrelevant Screening Test: Influence of an Algorithm on Human Decision-Making
    Autorzy:
    Krapohl, Donald J.
    Goodson, Walt
    Powiązania:
    https://bibliotekanauki.pl/articles/523329.pdf
    Data publikacji:
    2015-12-01
    Wydawca:
    Krakowska Akademia im. Andrzeja Frycza Modrzewskiego
    Tematy:
    Relevant-Irrelevant Screening Test
    Relevant-Irrelevant Test
    Accuracy of R-I list
    Screening
    decision-making
    Źródło:
    European Polygraph; 2015, 9, 4; 189-208
    1898-5238
    2380-0550
    Pojawia się w:
    European Polygraph
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A machine learning method for soil conditioning automated decision-making of EPBM : hybrid GBDT and Random Forest Algorithm
    Autorzy:
    Lin, Lin
    Guo, Hao
    Lv, Yancheng
    Liu, Jie
    Tong, Changsheng
    Yang, Shuqin
    Powiązania:
    https://bibliotekanauki.pl/articles/2087007.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    soil conditioning
    automated decision-making
    hybrid algorithm
    geological parameters
    drive parameters
    feature selection
    Opis:
    There lacks an automated decision-making method for soil conditioning of EPBM with high accuracy and efficiency that is applicable to changeable geological conditions and takes drive parameters into consideration. A hybrid method of Gradient Boosting Decision Tree (GBDT) and random forest algorithm to make decisions on soil conditioning using foam is proposed in this paper to realize automated decision-making. Relevant parameters include decision parameters (geological parameters and drive parameters) and target parameters (dosage of foam). GBDT, an efficient algorithm based on decision tree, is used to determine the weights of geological parameters, forming 3 parameters sets. Then 3 decision-making models are established using random forest, an algorithm with high accuracy based on decision tree. The optimal model is obtained by Bayesian optimization. It proves that the model has obvious advantages in accuracy compared with other methods. The model can realize real-time decision-making with high accuracy under changeable geological conditions and reduce the experiment cost.
    Źródło:
    Eksploatacja i Niezawodność; 2022, 24, 2; 237--247
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Decision-making enhancement in a big data environment : application of the K-means algorithm to mixed data
    Autorzy:
    Koren, Oded
    Hallin, Carina Antonia
    Perel, Nir
    Bendet, Dror
    Powiązania:
    https://bibliotekanauki.pl/articles/91712.pdf
    Data publikacji:
    2019
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    big data
    mixed data
    hadoop
    K-means
    decision making
    Opis:
    Big data research has become an important discipline in information systems research. However, the flood of data being generated on the Internet is increasingly unstructured and non-numeric in the form of images and texts. Thus, research indicates that there is an increasing need to develop more efficient algorithms for treating mixed data in big data for effective decision making. In this paper, we apply the classical K-means algorithm to both numeric and categorical attributes in big data platforms. We first present an algorithm that handles the problem of mixed data. We then use big data platforms to implement the algorithm, demonstrating its functionalities by applying the algorithm in a detailed case study. This provides us with a solid basis for performing more targeted profiling for decision making and research using big data. Consequently, the decision makers will be able to treat mixed data, numerical and categorical data, to explain and predict phenomena in the big data ecosystem. Our research includes a detailed end-to-end case study that presents an implementation of the suggested procedure. This demonstrates its capabilities and the advantages that allow it to improve the decision-making process by targeting organizations’ business requirements to a specific cluster[s]/profiles[s] based on the enhancement outcomes.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2019, 9, 4; 293-302
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Stochastic programming model for production planning with stochastic aggregate demand and spreadsheet-based solution heuristics
    Autorzy:
    Saadouli, Nasreddine
    Powiązania:
    https://bibliotekanauki.pl/articles/2100358.pdf
    Data publikacji:
    2021
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    production planning
    stochastic programming
    efficient algorithm
    decision-making
    Opis:
    By discretising the stochastic demand, a deterministic nonlinear programming formulation is developed. Then, a hybrid simulation-optimisation heuristic that capitalises on the nature of the problem is designed. The outcome is an evaluation problem that is efficiently solved using a spreadsheet model. The main contribution of the paper is providing production managers with a tractable formulation of the production planning problem in a stochastic environment and an efficient solution scheme. A key benefit of this approach is that it provides quick near-optimal solutions without requiring in-depth knowledge or significant investments in optimisation techniques and software.
    Źródło:
    Operations Research and Decisions; 2021, 31, 4; 117--127
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Management and decisions in the structures of human activities
    Autorzy:
    Galanc, T.
    Kołwzan, W.
    Pieronek, J.
    Skowronek-Grądziel, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/406575.pdf
    Data publikacji:
    2017
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    management
    decision-making
    structure
    algorithm
    scientific language
    Opis:
    This article has been devoted to the key dimensions of decision-making. The main goal of the authors was to point out the role and effect of invariants of nature, logic and conceptual systems of science and management, which are extremely important in decision-making processes. The research hypothesis has been tested that the complexity of decision-making and management are determined by the state of reality (Nature). This hypothesis is related to the fact that in science there is currently no uniform methodology associated with decision-making, just as science is not methodologically uniform. One can even doubt whether it is possible to describe the essential dimensions of decisions undertaken by Man, as discussed in this article. These problems are not a novelty to science, since they have been analysed by many scientists in the past. The authors of the article present the complexity and diversity of concepts defining systems of decision-making and management, based on selected fields of knowledge which are generally relevant to this issue, in particular fields associated with ontology and epistemology. Therefore, the text refers broadly to investigating the reality of basic areas of human knowledge and the overlapping relationships between them. This applies to the so-called circle of the sciences proposed and examined by the psychologist J. Piaget. An additional aim of the authors was to create a text presenting contemporary human knowledge about the reality which surrounds us. To understand reality means to be in relative equilibrium with it.
    Źródło:
    Operations Research and Decisions; 2017, 27, 4; 45-69
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Travel management optimization based on air pollution condition using Markov decision process and genetic algorithm (case study: Shiraz city)
    Autorzy:
    Bagheri, Mohammad
    Ghafourian, Hossein
    Kashefiolasl, Morteza
    Pour, Mohammad Taghi Sadati
    Rabbani, Mohammad
    Powiązania:
    https://bibliotekanauki.pl/articles/223520.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    air pollution
    dynamic optimization
    genetic algorithm
    Markov decision-making process
    zarządzanie transportem
    optymalizacja
    zanieczyszczenie powietrza
    algorytm genetyczny
    proces decyzyjny Markowa
    Opis:
    Currently, air pollution and energy consumption are the main issues in the transportation area in large urban cities. In these cities, most people choose their transportation mode according to corresponding utility including traveller's and trip’s characteristics. Also, there is no effective solution in terms of population growth, urban space, and transportation demands, so it is essential to optimize systematically travel demands in the real network of roads in urban areas, especially in congested areas. Travel Demand Management (TDM) is one of the well-known ways to solve these problems. TDM defined as a strategy that aims to maximize the efficiency of the urban transport system by granting certain privileges for public transportation modes, Enforcement on the private car traffic prohibition in specific places or times, increase in the cost of using certain facilities like parking in congested areas. Network pricing is one of the most effective methods of managing transportation demands for reducing traffic and controlling air pollution especially in the crowded parts of downtown. A little paper may exist that optimize urban transportations in busy parts of cities with combined Markov decision making processes with reward and evolutionary-based algorithms and simultaneously considering customers’ and trip’s characteristics. Therefore, we present a new network traffic management for urban cities that optimizes a multi-objective function that related to the expected value of the Markov decision system’s reward using the Genetic Algorithm. The planned Shiraz city is taken as a benchmark for evaluating the performance of the proposed approach. At first, an analysis is also performed on the impact of the toll levels on the variation of the user and operator cost components, respectively. After choosing suitable values for the network parameters, simulation of the Markov decision process and GA is dynamically performed, then the optimal decision for the Markov decision process in terms of total reward is obtained. The results illustrate that the proposed cordon pricing has significant improvement in performance for all seasons including spring, autumn, and winter.
    Źródło:
    Archives of Transport; 2020, 53, 1; 89-102
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimising rig design for sailing yachts with Evolutionary Multi-objective Algorithm
    Autorzy:
    Pawłusik, Mikołaj
    Szłapczyński, Rafał
    Karczewski, Artur
    Powiązania:
    https://bibliotekanauki.pl/articles/1573832.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    sailing yacht rig optimization
    Bermuda sloop
    Multi-Objective Evolutionary Algorithms (MOEA)
    Multi Criteria Decision Making (MCDM)
    Opis:
    The paper presents a framework for optimising a sailing yacht rig using Multi-objective Evolutionary Algorithms and for filtering obtained solutions by means of a Multi-criteria Decision Making method. A Bermuda sloop with discontinuous rig is taken under consideration as a model rig configuration. It has been decomposed into its elements and described by a set of control parameters to form a responsive model which can be used for optimisation purposes. Considering the contradictory nature of real optimisation objectives, a multi-objective approach has been chosen to address this issue. Once the optimisation process is over, a Multi-criteria Decision Making method based on a w-dominance relation is applied for filtering out the most interesting solutions from the obtained Pareto set. The proposed method has been implemented, and selected results are provided and discussed.
    Źródło:
    Polish Maritime Research; 2020, 4; 36-49
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The possibilities of utilising postoptimal analysis for the decision-making on the trends and concentration of coal sales
    Możliwości wykorzystania analizy postoptymalnej do podejmowania decyzji o kierunkach i koncentracji zbytu węgla
    Autorzy:
    Fuksa, Dariusz
    Powiązania:
    https://bibliotekanauki.pl/articles/1841485.pdf
    Data publikacji:
    2020
    Wydawca:
    Polskie Towarzystwo Przeróbki Kopalin
    Tematy:
    optimization
    post-optimal analysis
    Simplex algorithm
    optymalizacja
    analiza postoptymalna
    algorytm Simpleks
    Opis:
    When developing optimal coal production and sales plans for coal mines, one is often faced with the necessity to modify them, which implies the rationality of such plans. This is achieved through postoptimal analysis, which allows coal mines’ production plans, formal¬ly optimal, to be modified. The article presents the possibilities of utilising postoptimal analysis developed as part of a method for the rationalisation of production decisions with regard to the management of a coal company. The algorithms resulting from this analysis, accompanied by examples of their practical application, illustrate the possibility of presenting the economic effects of adjustments, if any, quantitatively, which also includes adapting the coal production and sales plans to actual demand, both in terms of quantity and quality. The provided examples of adjustments to the optimal plan concern the “producer-recipient” relationship and the concentration of coal sales.
    Przy opracowywaniu optymalnych programów produkcji i sprzedaży węgla dla kopalń występuje niejednokrotnie konieczność ich mo¬dyfikacji, co implikuje racjonalność planów produkcji i sprzedaży węgla. Realizuje się to dzięki analizie postoptymalnej, pozwalającej na modyfikację formalnie optymalnych planów produkcyjnych kopalń. W artykule zaprezentowano możliwości analizy postopty¬malnej opracowanej w ramach metody racjonalizacji decyzji produkcyjnych dla potrzeb zarządzania spółką węglową. Opracowane w ramach tej analizy algorytmy poparte przykładami praktycznego ich wykorzystania ilustrują możliwości ilościowego ujmowania skutków ekonomicznych ewentualnych korekt, w tym dostosowania planów produkcji i sprzedaży węgla do realnych zmian zapo¬trzebowania, zarówno w sensie ilościowym jak i jakościowym. Podane przykłady korekt planu optymalnego dotyczą powiązania producent-odbiorca oraz koncentracji zbytu węgla.
    Źródło:
    Inżynieria Mineralna; 2020, 2, 2; 21-26
    1640-4920
    Pojawia się w:
    Inżynieria Mineralna
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Strategia marketingowa – idea, algorytm i znaczenie w procesie decyzyjnym zakładu ubezpieczeń
    Marketing Strategy – an Idea, Algorithm and Importance in the Insurance Company’s Decision-Making Process
    Autorzy:
    Fulneczek, Roman
    Powiązania:
    https://bibliotekanauki.pl/articles/440047.pdf
    Data publikacji:
    2014
    Wydawca:
    Akademia Finansów i Biznesu Vistula
    Tematy:
    marketing
    strategia marketingowa
    marketing innowacyjny
    rynek ubezpieczeń
    usługi ubezpieczeniowe
    produkt ubezpieczeniowy
    marketing strategy
    innovative marketing
    insurance market
    insurance services
    insurance product
    Opis:
    Strategia marketingowa przesądza o powodzeniu lub jego braku w firmie ubezpieczeniowej. Celem rozważań jest próba określenia, jak ważną rolę w działalności ubezpieczeniowej odgrywa strategia marketingowa. Artykuł poświęcony są zagadnieniom teoretycznym, metodologicznym oraz analizie uwarunkowań prowadzenia działalności ubezpieczeniowej. Omówione zostały podstawowe zagadnienia strategii marketingowej, a więc idea, algorytm i znaczenie w procesie decyzyjnym firm ubezpieczeniowych. Przedstawiono podstawowe zagadnienia pojęciowe i definicje marketingu i marketingu usług. Przyjęto algorytm oparty na czterech polach konstrukcji strategii marketingowej, do których zaliczono: – określenie, gdzie jesteśmy jako firma ubezpieczeniowa, – określenie, dokąd zmierzamy, – zdefiniowanie posiadanych zasobów, – dokonanie wyboru i podjęcie decyzji. Opracowanie oparte jest na studium literatury z zakresu marketingu i zarządzania, jak również na własnych doświadczeniach zawodowych zarządczych autora w firmach ubezpieczeniowych.
    The marketing strategy decides a success or a failure in the insurance company. An aim of considerations is an attempt to determine how important role in insurance activities is played by the marketing strategy. The article is devoted to theoretical, methodological issues and to an analysis of determinants of carrying out insurance activities. There were discussed the basic issues of the marketing strategy, i.e. the idea, algorithm and importance in the insurance companies’ decision-making process. The author presented the basic notions and definitions of marketing and service marketing. He adopted the algorithm based on the four fields of marketing strategy construction, which include: – determining where we are as an insurance company, – determining where we go, – defining the assets held, – making a choice and decision. The elaboration is based on the study of literature in the field of marketing and management, as well as on the author’s own professional managerial experience in insurance companies.
    Źródło:
    Kwartalnik Naukowy Uczelni Vistula; 2014, 1(39); 93-106
    2084-4689
    Pojawia się w:
    Kwartalnik Naukowy Uczelni Vistula
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A new method of decision making in multi-objective optimal placement and sizing of distributed generators in the smart grid
    Autorzy:
    Khoshayand, Hossein Ali
    Wattanapongsakorn, Naruemon
    Mahdavian, Mehdi
    Ganji, Ehsan
    Powiązania:
    https://bibliotekanauki.pl/articles/2202555.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    backward-forward load distribution
    fuzzy logic
    iterative search algorithm
    multi-objective optimization
    shortest distance from the origin
    weighted sum
    Opis:
    One of the most important aims of the sizing and allocation of distributed generators (DGs) in power systems is to achieve the highest feasible efficiency and performance by using the least number of DGs. Considering the use of two DGs in comparison to a single DG significantly increases the degree of freedom in designing the power system. In this paper, the optimal placement and sizing of two DGs in the standard IEEE 33-bus network have been investigated with three objective functions which are the reduction of network losses, the improvement of voltage profiles, and cost reduction. In this way, by using the backward-forward load distribution, the load distribution is performed on the 33-bus network with the power summation method to obtain the total system losses and the average bus voltage. Then, using the iterative search algorithm and considering problem constraints, placement and sizing are done for two DGs to obtain all the possible answers and next, among these answers three answers are extracted as the best answers through three methods of fuzzy logic, the weighted sum, and the shortest distance from the origin. Also, using the multi-objective non-dominated sorting genetic algorithm II (NSGA-II) and setting the algorithm parameters, thirty-six Pareto fronts are obtained and from each Pareto front, with the help of three methods of fuzzy logic, weighted sum, and the shortest distance from the origin, three answers are extracted as the best answers. Finally, the answer which shows the least difference among the responses of the iterative search algorithm is selected as the best answer. The simulation results verify the performance and efficiency of the proposed method.
    Źródło:
    Archives of Electrical Engineering; 2023, 72, 1; 253--271
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing
    Autorzy:
    Lazaroiu, George
    Androniceanu, Armenia
    Grecu, Iulia
    Grecu, Gheorghe
    Neguriță, Octav
    Powiązania:
    https://bibliotekanauki.pl/articles/19322650.pdf
    Data publikacji:
    2022
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    cognitive manufacturing
    Artificial Intelligence of Things
    cyber-physical system
    big data-driven deep learning
    real-time scheduling algorithm
    smart device
    sustainable product lifecycle management
    Opis:
    Research background: With increasing evidence of cognitive technologies progressively integrating themselves at all levels of the manufacturing enterprises, there is an instrumental need for comprehending how cognitive manufacturing systems can provide increased value and precision in complex operational processes. Purpose of the article: In this research, prior findings were cumulated proving that cognitive manufacturing integrates artificial intelligence-based decision-making algorithms, real-time big data analytics, sustainable industrial value creation, and digitized mass production. Methods: Throughout April and June 2022, by employing Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines, a quantitative literature review of ProQuest, Scopus, and the Web of Science databases was performed, with search terms including "cognitive Industrial Internet of Things", "cognitive automation", "cognitive manufacturing systems", "cognitively-enhanced machine", "cognitive technology-driven automation", "cognitive computing technologies", and "cognitive technologies". The Systematic Review Data Repository (SRDR) was leveraged, a software program for the collecting, processing, and analysis of data for our research. The quality of the selected scholarly sources was evaluated by harnessing the Mixed Method Appraisal Tool (MMAT). AMSTAR (Assessing the Methodological Quality of Systematic Reviews) deployed artificial intelligence and intelligent workflows, and Dedoose was used for mixed methods research. VOSviewer layout algorithms and Dimensions bibliometric mapping served as data visualization tools. Findings & value added: Cognitive manufacturing systems is developed on sustainable product lifecycle management, Internet of Things-based real-time production logistics, and deep learning-assisted smart process planning, optimizing value creation capabilities and artificial intelligence-based decision-making algorithms. Subsequent interest should be oriented to how predictive maintenance can assist in cognitive manufacturing by use of artificial intelligence-based decision-making algorithms, real-time big data analytics, sustainable industrial value creation, and digitized mass production.
    Źródło:
    Oeconomia Copernicana; 2022, 13, 4; 1047-1080
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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