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Consensus Determining Algorithm for Supply Chain Management Systems

100%
Hernes M., Sobieska-Karpińska J.
Information Systems in Management
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2014
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vol. 3
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issue 1
27-39
EN
The purpose of article is to elaborate a consensus determination algorithm in supply chain management support systems, which may lead to achieving a greater flexibility and effectiveness of such systems. Using consensus methods in resolving the conflict of knowledge, in other words, determining a variant to be then presented to the user, based on the variants proposed by the system, may lead to shortening the variant determination time and to reducing the risk of selecting the worst variant. As a consequence, supply chain management might become more dynamic, which obviously influences the effectiveness of the operation of particular organizations and the entire supply chain. The originality is using consensus method to resolve knowledge conflicts in SCM systems to help decision-maker to take decision earning satisfy benefits.
2
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Sources of knowledge conflicts in cognitive agent’s architecture in DSS

100%
Sobieska-Karpińska J., Hernes M.
Informatyka Ekonomiczna
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2014
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issue 3(33)
102-113
EN
This paper presents the problem of knowledge conflicts identification in the architecture of cognitive agents. The agents operate at the decision support systems. The types and the sample of cognitive agents architecture was characterized in the first part of article. Next, the customer relationship management agent was described and the causes of knowledge conflicts were indicated. The final part of article contains the analysis of sources of knowledge conflicts and their examples related to decision-making process.
3
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Koncepcja wieloagentowego systemu wczesnego ostrzegania przed sytuacjami kryzysowymi w gospodarce

71%
Bytniewski A., Hernes M., Maleszka M., Nguyen N. T., Sobieska-Karpińska J.
Studia Ekonomiczne
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2017
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vol. 342
11-21
PL
Funkcjonujące dotychczas systemy wczesnego ostrzegania przed sytuacjami kryzysowymi w gospodarce odnoszą się jedynie do konkretnych branż lub grup kilku branż w gospodarce i są skierowane przeważnie do wybranych grup użytkowników. Występowanie niekorzystnych zjawisk gospodarczych w całej przestrzeni gospodarczej wymaga jednak uniwersalnego podejścia do konstrukcji systemów wczesnego ostrzegania. W artykule opracowano koncepcję systemu obejmującego swoim zakresem zarówno użytkowników indywidualnych i przedsiębiorstwa, jak i całe gospodarki w ujęciu globalnym. System ten składa się z następujących modułów: konwersji istniejących i nowo tworzonych modeli systemów wczesnego ostrzegania, kolektywów człowiek-agent oraz integracji, oceny wiedzy i personalizacji. Funkcjonowanie tego typu systemu może wpłynąć na wzrost poziomu skuteczności prognoz ostrzegawczych oraz na wzrost poziomu efektywności decyzji umożliwiających podjęcie działań wyprzedzających, co w konsekwencji może ograniczać skutki kryzysów w gospodarce.
EN
So far early warning systems for crises in the economy refer only to specific industries or groups of several industries in the economy and are directed mainly to selected groups of users. The occurrence of unfavorable economic phenomenon across the economic space, however, requires an universal approach to the construction of an early warning systems. Therefore, the concept of a system that includes both individual users and enterprises, as well as entire economies in a global perspective, have been developed in this paper. The system consists of the following modules: conversion of existing and newly created models of early warning systems, human-agent collectives and integration, knowledge assessment and personalization. The functioning of this type of system may affect the increase of the effectiveness of warning forecasts and the increase in the level of effectiveness of decisions allowing for taking pre-emptive actions, which in consequence may limit the effects of crises in the economy.
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