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Tadeusz Krupa

Transforming Nets

T-nets are constructed on the basis of experience gathered during experiments performed on the flow models of production systems [1, 4 and 6-12] and experience from colored Petri nets simulations. Transforming net is functioning in an asynchronous manner due to the initiation of transformers in specific periods of time. Possibilities to time-flow tasks are imminent features of T-nets - resources are gathered in the accumulators; resource transformations are described by the transformers. Task decomposition and task result synthesis is performed in a continuous manner. T-net plays the role of virtual model of real task realization processes. The existence of such model allows to monitor and asses the progress of realized tasks as well as calculations and simulation of task realization strategy.

Open access

Tadeusz Krupa

Events and Event Processes

Presented article describes the issues known from the logical structures characterization theory [2] used in this case to describe the events designed for the needs of proper functioning of organizational structures. Necessary formalization is used strictly for the maintenance of the concept discipline. Event theory [5] is used in the designing of complex structures of organizational systems for which the basic necessity is its compliance with the set functional description. Final organization's characteristics are determined by many factors, such as: a) completeness and non-contradiction of the functional specification b) theoretical correctness of the functional transformation of the organization into the design of its organizational structure c) correctness of the technical project realization.

Open access

Tadeusz Krupa

Abstract

In this paper, transformer logistics networks are treated as flow models of discrete manufacturing systems (FMDMS). The purpose is to formalize FMDMS into logical formulas called transformer functions. Transformer logistics networks are able to handle buffers and their production orders in a way that ensures full monitoring of the logic technology stored in the memory of a transforming network (t-network). The structural and functional complexity of the t-network makes it impossible to carry out formal proof of its proper functioning for any new order placement in buffers and transformers. This is because with the growing capacity in buffers, the number of available states of tnetworks also increases, and as such, the number of transformers and buffers unable to effectively generate new production orders that protect the t-network is also increasing. The problem therefore becomes to maintain t-network equilibrium technology that guarantees the continuity of the logical operations and processes of resource transformation.

Open access

Anna Michalczyk and Tadeusz Krupa

The Expert Knowledge Collection Methodology in the Decision Support System

The purpose of this article is to present and analyse issues connected with the expert knowledge collection methodology in the decision support systems (DSS). The considerations concentrate on a conception of building an information system, based on an application of case-based reasoning method and reasoning based on approximate knowledge. The expert's knowledge is systematically collected in a case base. A mechanism of classical CBR and a logic model of the case base were described. It was assumed that the cases compared with regard to similarity are elements of tolerance space what considerably accelerates the retrieval of satisfying solutions. A local and global measure of case similarity is developed. The method can be used in complex tasks of image identification.

Open access

Lilianna Ważna and Tadeusz Krupa

The Multicriteria Assessment Methodology of the Decision Support System Implementation Effectiveness

The multi-criteria assessment methodology of implementation effectiveness of information systems illustrated by an example of decision support system (DSS) realized in w information technologies is presented in the article. The assessment of DSS under consideration takes place using the knowledge recorded in the form of fuzzy neural network, collected in an enterprise, on the basis of earlier realized implementations of other information systems. A model of retrieved DSS is expressed by means of a set of functionalities serving business processes of the enterprise under consideration. A model of implementation undertaking determined by means of a set of preparatory actions for the implementation and a set of directly implementation and exploitation actions is built for the retrieved DSS as well. Furthermore, a vector determining a current and planned implementation state of a set of DSS functionalities in the enterprise at time moments, before and after the commencement of planned implementation of the retrieved DSS is built. A concept of trapezoidal fuzzy numbers is used in building DSS models. An adjustment of fuzzy parameters of DSS models takes place by means of geometrical method of maximum absolute error points. A presented methodology enables to execute a multi-criteria effectiveness assessment of planned undertaking in relation to subjective criteria established by the enterprise (preferred time, cost and values of priority indexes). Additionally, the knowledge collected on the basis of earlier realized implementations of information systems and applied imprecise description of parameters taking into account errors made in their estimation in the past is used.

Open access

Krzysztof Maj and Tadeusz Krupa

The Management Method Preventing a Crisis Situation in an Electrical Energy Utility

The trend observed in the past few years, aiming at raising the level of energy safety both in Poland and in the world, has changed irreversibly the management specificity in the electrical energy industry. Traditional methods of management in this sector began to be insufficient in relation to the present quickly changing reality. The article presents a concept of the management method preventing a crisis situation in an electrical energy utility - a baseload power plant for the risks: a power unit overloading resulting in its disorderly close-down, a lack of technical-economic data transmission and a modification of business data.

Open access

Tadeusz Krupa and Teresa Ostrowska

Abstract

Article illustrates the state of the work conducted at the Faculty of Management Warsaw University of Technology on the issue of modeling hierarchical decision-making problems in the context of administrative and infrastructural conditions of the various forms of public safety. The aim is to develop a universal methodology of conduct for the management needs of the public administration, whose powers are focused on maintaining the continuity of the critical infrastructure of the State. The key issues covered by the article are: modeling of hierarchical issues and decision-making processes in the multi-layered organizational structures; harmonization of scales significance of decisionmaking areas with significance weights of elementary decisions in these decision areas; and a priori contradictions of elementary decisions from different decision areas and value assessments of taken problem decisions.

Open access

Tomasz Prokopowicz and Tadeusz Krupa

Modeling of Polish Enterprises Insolvency Processes with the Use of Gorbatov Characterization Principle - Research Results

Economical activities of enterprises should be based on such managerial decisions that assure quick and effective adjustment of the company to the changes that appear in the market. Enterprises, which are not able to use their opportunities and avoid threats, are bound to face the thread of insolvency. Effects of the insolvency are felt not only by the enterprise, but also by its creditors. Therefore, it is necessary to elaborate a warning system that will beforehand allow diagnosing the condition of the enterprise and setting necessary directions for the company to avoid insolvency. The article presents research results on the use of characterization theory in the creation of insolvency threat evaluation model based on Polish enterprises.

Open access

Justyna Patalas-Maliszewska and Tadeusz Krupa

The Multicriteria Selection Methodology of the Decision Support System

An issue of building a tool orientated to the support of selection process of decision support system (DSS) for the sector of small and medium enterprises is presented in the article. A group method of data handling (GMDH) whose application allows to objectives a search process of required DSS, with assumed costs and other existing resource limitations, is proposed for this purpose. The article is devoted to a problem of GMDH adjustment to solving the tasks related to the selection of a required system from among the information systems of DSS class, according to the criteria determined by a future user of this system. The GMDH takes into account among other things such assumptions as: a precise description of dependences between input and output data in a specified time horizon, independence of the user's knowledge (the values of observed data from the past registered in the base are the input data) and minimization of modelling errors (the selection of solutions takes place by means of a selected evaluation rule of quality estimation).

Open access

Justyna Patalas-Maliszewska and Tadeusz Krupa

Forecasting the Effects of Investments in Knowledge-Workers in the SME Sector, Using the GMDH Method

The enterprises functioning in market economy have to implement changes in systems of organization and management that they use. In economy practice making a decision in enterprise is conditioned by competitors' action, changing factors of environments, e.g. technical progress and results of the research works. Added value for SME can be determine as knowledge, employees' skills and abilities, social relation, know-how, and particularly effective investing in intellectual capital. The enterprises which invest in knowledge and systems of work are achieved competitive advantage, because of their workers' readiness to learning and qualifying themselves and also thanks to effective information and communication transfers. In this paper we allowed to respond to the following question: whether a given algorithm that enables the characteristics of the knowledge-workers and the expected results of expenditures on the intellectual capital (potential benefits from investing in the knowledge-workers) binding? This paper presents prediction effects of investments in knowledge-workers in the SME sector when using the neural systems GMDH basing on the Ivachnienko algorithm.