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    Wyświetlanie 1-2 z 2
    Tytuł:
    THE IMPACT OF SALES SERVICE IN MAREA TRADING SIMULATION UNDER CHANGING ENVIRONMENT CIRCUMSTANCES
    Autorzy:
    Sperka, Roman
    Halaska, Michal
    Powiązania:
    https://bibliotekanauki.pl/articles/517150.pdf
    Data publikacji:
    2017
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    multi-agent system
    simulation
    model
    trading
    MAREA
    Opis:
    Research background: Managerial scientists use a lot of modelling techniques for business processes. In this paper we are focused on agent-based modelling and simulations, which emerged in the last two decades as a new approach. Autonomous and interacting intelligent agents are able to model and simulate complex systems in the business sphere. With the use of agent-based modelling and simulations we are able to understand how macro level outcomes are affected by micro level processes and vice versa. Purpose of the article: The purpose of the paper is to introduce recent development in the area of agent-based modelling and simulations focused on the business domain. Managers often have to make difficult decisions under the uncertainty and high risks. Agent-based modelling can provide powerful tools for lowering those risks through a possibility of running experiments, which is normally impossible in economics. In the second part we want to support the usefulness of agent-based simulations with our own simulations. Methods: The method used in this article is an agent-based simulation in a multi-agent system. We use a framework called MAREA. It is a simulation environment with integrated ERP system based on REA ontology. Our simulation model is based on a retail company that sells electronics. For simplicity, in our setup we trade with computer cables. Findings & Value added: In our simulations we experimented with the quality of sales service provided by company’s sales representatives. We investigated the impact of quality of sales service on company KPIs under the changing environment circumstances represented by disturbance agent. The quality of sales service is a part of quality of service and thus it affects the perception of brand and loyalty of customers towards the company. In our simulation setup we work with two types of customers, long-term customers and new ones. The result is that quality of sales service has mostly positive effects on company KPIs.
    Źródło:
    Equilibrium. Quarterly Journal of Economics and Economic Policy; 2017, 12, 2; 355-371
    1689-765X
    2353-3293
    Pojawia się w:
    Equilibrium. Quarterly Journal of Economics and Economic Policy
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Performance of an automated process model discovery – the logistics process of a manufacturing company
    Autorzy:
    Halaška, Michal
    Šperka, Roman
    Powiązania:
    https://bibliotekanauki.pl/articles/125503.pdf
    Data publikacji:
    2019
    Wydawca:
    Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
    Tematy:
    process mining
    automated process discovery
    simulation
    agent-based simulation
    ABS
    górnictwo procesowe
    automatyczne wykrywanie procesów
    symulacja
    symulacja zorientowana agentowo
    Opis:
    The simulation and modelling paradigms have significantly shifted in recent years under the influence of the Industry 4.0 concept. There is a requirement for a much higher level of detail and a lower level of abstraction within the simulation of a modelled system that continuously develops. Consequently, higher demands are placed on the construction of automated process models. Such a possibility is provided by automated process discovery techniques. Thus, the paper aims to investigate the performance of automated process discovery techniques within the controlled environment. The presented paper aims to benchmark the automated discovery techniques regarding realistic simulation models within the controlled environment and, more specifically, the logistics process of a manufacturing company. The study is based on a hybrid simulation of logistics in a manufacturing company that implemented the AnyLogic framework. The hybrid simulation is modelled using the BPMN notation using BIMP, the business process modelling software, to acquire data in the form of event logs. Next, five chosen automated process discovery techniques are applied to the event logs, and the results are evaluated. Based on the evaluation of benchmark results received using the chosen discovery algorithms, it is evident that the discovery algorithms have a better overall performance using more extensive event logs both in terms of fitness and precision. Nevertheless, the discovery techniques perform better in the case of smaller data sets, with less complex process models. Typically, automated discovery techniques have to address scalability issues due to the high amount of data present in the logs. However, as demonstrated, the process discovery techniques can also encounter issues of opposite nature. While discovery techniques typically have to address scalability issues due to large datasets, in the case of companies with long delivery cycles, long processing times and parallel production, which is common for the industrial sector, they have to address issues with incompleteness and lack of information in datasets. The management of business companies is becoming essential for companies to stay competitive through efficiency. The issues encountered within the simulation model will be amplified through both vertical and horizontal integration of the supply chain within the Industry 4.0. The impact of vertical integration in the BPMN model and the chosen case identifier is demonstrated. Without the assumption of smart manufacturing, it would be impossible to use a single case identifier throughout the entire simulation. The entire process would have to be divided into several subprocesses.
    Źródło:
    Engineering Management in Production and Services; 2019, 11, 2; 106-118
    2543-6597
    2543-912X
    Pojawia się w:
    Engineering Management in Production and Services
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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