Strategic Development and Dynamic Models of Supply Chains: Search for Effective Model Constructions
In this research the author studies the approaches to simulation of strategic development of supply chains and formation of cooperation strategies on the basis of the methods of ontology engineering, complex system dynamics simulation and agent-based simulation.
This paper presents a new approach to designing integrated simulation models for large corporations. This approach is based on the use of system-dynamics methods for implementing models of segments of the vertically integrated company taking into account the available direct and feedback links. All models have been designed with the help of power simulation tool - Powersim Studio. In addition, the designed simulation system has been integrated with created genetic algorithm and the corporate data warehouse.
The paper describes the development of a portal about development and use of tools based on the (meta) modeling (using DSM, DSL, etc.). The architecture of a portal, information retrieval subsystem and document management are described.
The purpose of the portal is the creation of "selfdeveloping" resource, which provides intelligent search and automatic processing of the results (documents and sources), easy navigation on the found resources. Implementation is based on the ontologies approach.
The main feature of suggested methods is an integrated approach to development. The approach bases on a multi-level ontology repository. The portal allows searching and analyzing information, creating and researching model, publishing research results. Software gives an opportunity of a flexible customizing. The main topic of this paper is an intelligent information search means based on semantic indexation, automatic document classification, tracking of semantic links between documents and automatic summarization.
This research work deals with the problem formulation of control of complex organizational structures. The mechanism of functioning of such systems is described by example of a vertically integrated company (VIC). The problems of strategic and operative control of VIC are considered. The methods for solving such problems based on genetic algorithms and neural networks are suggested. A new iterative procedure for coordination of strategic and operative control goals based on the estimation of imbalance between shareholder value and net profit distributed for payment of dividends to shareholders is suggested.
The considered system is a double criterion optimization problem with complex multiparameter restrictions.
Today many problems that are dedicated to a particular problem domain can be solved using DSL. Thus to use DSL it must be created or it can be selected from existing ones. Creating a completely new DSL in most cases requires high financial and time costs. Selecting an appropriate existing DSL is an intensive task because such actions like walking through every DSL and deciding if current DSL can handle the problem are done manually. This problem appears because there are no DSL repository and no tools for matching suitable DSL with specific task. This paper observes an approach for implementing an automated detection of requirements for DSL (ontology-based structure) and automated DSL matching for specific task.
In this work is presented a new approach to the designing of intelligent systems of the control of the shareholder value for the vertical-integrated Financial Corporation (VIFK). Developed system based on using of system-dynamics methods for the simulation of the synergic interaction between different business directions of VIFK for the target of shareholder value maximization. Note, the described system has been successfully introduced in biggest Russian banking groups and it is used for the preparing of strategic decisions.