The article deals with the features and characteristics of intelligent systems for modelling business processes. Their classification was made and criteria for comparison were developed. According to the comparative analysis of existing expert systems for intelligent analysis, a reasonable choice of system for modelling business processes of a particular enterprise has been carried out. In general, it was found that the introduction of intelligent systems for modelling business processes of the enterprise and forecasting its activities for future allows management of the company to obtain relevant and necessary information for the adoption of effective management decisions and the development of a strategic plan
The article includes analysis of expert system application possibilities in the environment of produ...
According to Venkatraman (1991) five degrees of IT-induced business reconfiguration can be distingui...
The paper discusses the intelligent information systems as expert systems to meet the challenges of ...
The article deals with the features and characteristics of intelligent systems for modelling busines...
This paper represents research of several years which is conducted at the Centre for Quality at The ...
Management of the business process requires pertinent, consistent and up-to-date information gatheri...
This article discusses intelligent systems in the management of technological processes. In recent y...
The dynamic nature of economic processes and phenomena, their complexity and diversity, the prospect...
The chapter is focused on the usage of intelligent agents in business process modelling and business...
The object of the research is the process of management’s intellectualization in particular the use ...
The subject of the study is intellectual means in the system of managing an intelligent manufacturin...
The article discusses the approach to creating projects of organizational management systems that al...
Our major undertaking relates to the modelling of Business Intelligence System (BIS) in term of func...
Abstract: : Fierce competition in a market increasingly crowded and frequent changes in consumer req...
The article presents an analysis of a complex of business process management models that are designe...
The article includes analysis of expert system application possibilities in the environment of produ...
According to Venkatraman (1991) five degrees of IT-induced business reconfiguration can be distingui...
The paper discusses the intelligent information systems as expert systems to meet the challenges of ...
The article deals with the features and characteristics of intelligent systems for modelling busines...
This paper represents research of several years which is conducted at the Centre for Quality at The ...
Management of the business process requires pertinent, consistent and up-to-date information gatheri...
This article discusses intelligent systems in the management of technological processes. In recent y...
The dynamic nature of economic processes and phenomena, their complexity and diversity, the prospect...
The chapter is focused on the usage of intelligent agents in business process modelling and business...
The object of the research is the process of management’s intellectualization in particular the use ...
The subject of the study is intellectual means in the system of managing an intelligent manufacturin...
The article discusses the approach to creating projects of organizational management systems that al...
Our major undertaking relates to the modelling of Business Intelligence System (BIS) in term of func...
Abstract: : Fierce competition in a market increasingly crowded and frequent changes in consumer req...
The article presents an analysis of a complex of business process management models that are designe...
The article includes analysis of expert system application possibilities in the environment of produ...
According to Venkatraman (1991) five degrees of IT-induced business reconfiguration can be distingui...
The paper discusses the intelligent information systems as expert systems to meet the challenges of ...