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    Wyświetlanie 1-2 z 2
    Tytuł:
    Sustainable operative housing by dynamic renting
    Autorzy:
    Forss, T.
    Takala, J.
    Korpi, H.
    Golovko, I.
    Powiązania:
    https://bibliotekanauki.pl/articles/407405.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Critical Factor Index
    multicriteria decision making
    process measurement
    process management
    business performance
    housing
    real estate
    Opis:
    This study demonstrates utilization of Sense and Respond method for developing operations within housing markets by Critical Factor Index (CFI) having influence even on the strategic business performance. CFIs of knowledge intensive businesses can be measured and dynamically developed by Sense & Respond philosophy [1]. The purpose is to evaluate operative business performance in two quite different cases within quite big real estate businesses in Finland. For example, relationships with the customers, processes and possibilities for growth internally by different groups of respondents, 'hosting', 'management' and 'rent', were compared between the cases. One case company has a lot of more social housing compared to another. The work aims at finding out and understanding similarities and differences in business processes by Balanced Score Card (BSC) and by much more operations oriented OP questionnaires, and by deeper interviews in the case companies as well. BSC questionnaire has been supported by an important part of trust related factors as well. We could find similarities like: openness, customer, communication between different departments and hierarchy levels, utilizing different types of organizing systems; adaptation to knowledge and technology, utilizing different types of organizing systems. A new method for dynamic resource allocations in the operative processes in housing, especially in renting, where the customers move from one apartment to another one, has been proposed, it was validated and verified by weak and semi strong market tests in two quite big but different case companies. The preliminary but promising findings can be applicable for the whole market.
    Źródło:
    Management and Production Engineering Review; 2012, 3, 3; 11-17
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    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
      Wyświetlanie 1-2 z 2

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