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    Wyświetlanie 1-6 z 6
    Tytuł:
    EFFICIENCY OF HEALTHCARE SYSTEMS IN EUROPEAN COUNTRIES - THE DEA NETWORK APPROACH
    Autorzy:
    Kujawska, Justyna
    Powiązania:
    https://bibliotekanauki.pl/articles/453142.pdf
    Data publikacji:
    2018
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
    Tematy:
    healthcare system
    public health
    medical care
    network Data Envelopment Analysis
    Opis:
    Healthcare systems in Europe are constantly undergoing reforms which adapt them to social, economic and political requirements. The aim of this article is to examine the efficiency of healthcare systems in 30 European countries in 2014. The Network Data Envelopment Analysis (NDEA) model was used. The efficiency of the countries’ overall health systems and their two main components were examined: the public health system and the medical care system. The models include variables that are out of control of policy makers and the ones that can be controlled by them. The research results show that countries which reformed their healthcare systems achieved higher efficiency more often.
    Źródło:
    Metody Ilościowe w Badaniach Ekonomicznych; 2018, 19, 1; 60-70
    2082-792X
    Pojawia się w:
    Metody Ilościowe w Badaniach Ekonomicznych
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Assessment of mixed network processes with shared inputs and undesirable factors
    Autorzy:
    Nematizadeh, Maryam
    Amirteimoori, Alireza
    Kordrostami, Sohrab
    Vaez-Ghasemi, Mohsen
    Powiązania:
    https://bibliotekanauki.pl/articles/406305.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    network data envelopment analysis
    parallel-series mixed networks
    weak disposability
    undesirable factors
    ranking
    Opis:
    In the real world, there are processes whose structures are like a parallel-series mixed network. Network data envelopment analysis (NDEA) is one of the appropriate methods for assessing the performance of processes with these structures. In the paper, mixed processes with two parallel and series components are considered, in which the first component or parallel section consists of the shared inputs, and the second component or series section consists of undesirable factors. By considering the weak disposability assumption for undesirable factors, a DEA approach as based on network slackbased measure (NSBM) is introduced to evaluate the performance of processes with mixed structures. The proposed model is illustrated with a real case study. Then, the model is developed to discriminate efficient units.
    Źródło:
    Operations Research and Decisions; 2020, 30, 1; 97-118
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Efficiency measurement in dynamic two-stage network structures with flexible intermediate materials
    Autorzy:
    Kordrostami, S.
    Seyedboveir, S.
    Daneshian, B.
    Amirteimoori, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/406486.pdf
    Data publikacji:
    2018
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    data envelopment analysis
    flexible factors
    dynamic two-stage network
    efficiency
    Opis:
    Data envelopment analysis (DEA) is a nonparametric method for evaluating the relative efficiency of decision making units (DMUs) described by multiple inputs and multiple outputs. Since DEA was introduced in the 1970s, it has been widely applied to measure the efficiency of a wide variety of production and operation systems, including two-stage production systems with a series or parallel structure. The outputs from the first stage to the next stage are called intermediate factors (or measures). In some real applications, an intermediate material or some part of it can become the final output or input to the second stage of production. Previously existing models cannot be employed directly to measure the efficiency of such systems. The authors introduce a dynamic DEA model that identifies the structure of flexible intermediate factors to maximise the measure of overall system efficiency.
    Źródło:
    Operations Research and Decisions; 2018, 28, 3; 63-76
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Selection of an Optimal Network-Ranking Model to Achieve the Optimal Production Line Value Chain: a Case Study in the Textile Industry
    Opracowanie modelu rankingu sieciowego w celu stworzenia najlepszego łańcucha wielkości produkcji: studium przypadku w przemyśle tekstylnym
    Autorzy:
    Aboumasoudi, A. S.
    Powiązania:
    https://bibliotekanauki.pl/articles/232263.pdf
    Data publikacji:
    2017
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
    Tematy:
    optimal value chain
    data envelopment analysis
    DEA
    network-ranking models
    ideal decision making unit
    optymalny łańcuch wartości
    analiza danych
    Opis:
    Fulfilling needs and organisational resources with the least cost and highest quality is the main reason to achieve the optimal value chain. Application of most of the current techniques has merely been intended to choose the best scenario. However, industrial units need to build an ideal scenario as a value chain which focuses on intangible interstitial and hidden factors: good (good nature), bad (bad nature), fixed (obligatory nature) and free (not identifying their nature) and creates value. Therefore the model presented in this article answers this issue. First of all, we present a model based on the network approach of data envelopment analysis, then assess and rank the stages based on the scenarios for the stages forming the value chain, and finally the ideal decision unit is presented. For this reason, the general efficiency is designed with two natures; 1. input-centered (concentration on the costs) and 2. output-centered (concentration on the incomes).
    Głównym powodem tworzenia łańcucha wielkości jest zaspokojenie potrzeb i zasobów organizacyjnych przy jak najniższej cenie i najwyższej jakości. Zastosowanie większości obecnych technik miało jedynie na celu wybranie najlepszego scenariusza. Zakłady produkcyjne zmuszone są do budowania idealnego scenariusza, jako łańcucha wartości, który skupia się na wartościach niematerialnych i ukrytych: dobrych, złych, stałych (obowiązkowych) i wolnych (bez zidentyfikowanej natury). W pracy przedstawiono model oparty na wieloetapowej analizie danych.
    Źródło:
    Fibres & Textiles in Eastern Europe; 2017, 2 (122); 93-99
    1230-3666
    2300-7354
    Pojawia się w:
    Fibres & Textiles in Eastern Europe
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A data envelopment analysis based for evaluating efficiency of bus public routes
    Autorzy:
    Asmael, N. M.
    Waheed, M. Q.
    Powiązania:
    https://bibliotekanauki.pl/articles/1853680.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    DEA
    analiza zakresu danych
    model sieci
    efektywność
    skuteczność
    trasa autobusu
    transport publiczny
    serwis autobusu
    data envelopment analysis
    network model
    efficiency
    effectiveness
    bus route
    public transport
    bus service
    Opis:
    The public transport service is highly essential to meet the demand due to a rapidly growing population and mobility. Thus providing public service and improve its service becomes an urgent need in recent years. In Iraq, the Bus system represents the backbone in public transportation, which is based mainly on highway infrastructure. To meet the growing mobility needs, enhancing public service provided only by bus routes is essential. Measuring bus route performance represents one of the crucial transit research topics in the last recent years. The current study tries to investigate the urban public route's efficiency utilizing the "data envelopment analysis (DEA)" technique. To analyze route performance, DEA is using, and performance measures include route design, cost, service, operation, and comfort efficiency are selected and calculated for different routes. Efficiency and effectiveness are the output of this process. Bus company owners can also use the results of this study to improve their services, attract new customers, and better manage their resources.
    Źródło:
    Archives of Civil Engineering; 2020, 66, 4; 303-323
    1230-2945
    Pojawia się w:
    Archives of Civil Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multicriteria models in revenue management
    Autorzy:
    Fiala, Petr
    Majovská, Renata
    Powiązania:
    https://bibliotekanauki.pl/articles/33948716.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Ekonomiczny w Katowicach
    Tematy:
    revenue management
    performance measurement
    multiple criteria
    Analytic Hierarchy Process (AHP)
    Analytic Network Process (ANP)
    Data Envelopment Analysis (DEA)
    customer behavior
    efficient frontier
    Aspiration Level Oriented Procedure (ALOP)
    Opis:
    Revenue management (RM) deals with selling the right product to the right customer at the right time at the right price through the right channel to maximize revenue. The innovation of RM lies in the way decisions are made. The performance of revenue management approaches can be evaluated against several criteria. Both discrete and continuous multicriteria models can be used to analyse RM. The performance pyramid is a comprehensive, fully integrated per performance system that captures multiple perspectives such as internal, financial, customer and innovation. The assessment is based on a combination of Analytic Hierarchy Process (AHP), Analytic Network Process (ANP) and Data Envelopment Analysis (DEA) approaches. Customer behaviour modelling is gaining increasing attention in revenue management. Customer choice models can be extended with more inputs and more outputs. Evaluation of alternatives can be performed using DEA based evaluation methods. The search for an efficient frontier in a DEA model can be formulated as a multiobjective linear programming problem. We propose to use an Aspiration Level Oriented Procedure (ALOP) to solve the problem.
    Źródło:
    Multiple Criteria Decision Making; 2023, 18; 29-46
    2084-1531
    Pojawia się w:
    Multiple Criteria Decision Making
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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