ZASTOSOWANIE SIECI PETRIEGO W SYSTEMACH WSPOMAGANIA DECYZJI OPARTYCH NA INTELIGENTNEJ WIELOŹRÓDŁOWEJ ANALIZIE DANYCH

The paper deals with the design of data analysis systems for business process automation. A general scheme of decision support system was developed in which one of the modules is based on Petri Nets. The way of implementation of Petri Net model in optimization problem regarding service-oriented decision support system was shown. The Petri Net model of distribution workflow was presented and simulation experiments was completed. As a result the optimal solution as a set of parameters was emerged.Artykuł dotyczy problematyki projektowania zautomatyzowanych systemów analizy danych biznesowych. Opracowano ogólny model systemu wspomagania decyzji, w którym jeden z modułów funkcjonuje w oparciu o sieci Petriego. Zaprezentowano sposób implementacji sieci Petriego do realizacji zadań optymalizacyjnych dotyczących zorientowanego na usługi systemu wspomagania decyzji. Przeprowadzono szereg eksperymentów symulacyjnych wykorzystując model przepływu pracy utworzony na bazie sieci Petriego. Rezultatem badań było wyłonienie optymalnego zbioru parametrów procesu biznesowego

Learning from local economic development experiences: Observations on Integrated Development Programmes of the Free State, Republic of South Africa

The aim of this paper is to assess the degree to which the components of the Rural Economic and Enterprise Development (REED) framework have been incorporated into integrated development planning (IDP) or into strategic local economic development (LED) plans. The paper also provides an evaluation of two local municipal level IDPs in the Free State, Republic of South Africa. The evaluation is considered on an ex-ante basis in terms of contemporary LED and REED approaches. We also consider IDP efficacy and potential impact in terms of achieving enterprise development, poverty reduction and growth.Rural Economic and Enterprise Development, economic development,

Issues in Process Variants Mining

In today's dynamic business world economic success of an enterprise increasingly depends on its ability to react to internal and external changes in a quick and flexible way. In response to this need, process-aware information systems (PAIS) emerged, which support the modeling, orchestration and monitoring of business processes and services respectively. Recently, a new generation of flexible PAIS was introduced, which additionally allows for dynamic process and service changes. This, in turn, will lead to a large number of process variants, which are created from the same original process model, but might slightly differ from each other. This paper deals with issues related to the mining of such process variant collections. Our overall goal is to learn from process changes and to merge the resulting model variants into a generic process model in the best possible way. By adopting this generic process model in the PAIS, future cost of process change and need for process adaptations will decrease. Finally, we compare our approach with existing process mining techniques, and show that process variants mining is additionally needed to learn from process changes

Growing Pennsylvania's High-Tech Economy: Choosing Effective Investments

Compares Pennsylvania's high-tech economic development incentives, programs, and taxes with those of six competitor states. Includes case studies, program summaries, and analyses using a proprietary model and database. Makes policy recommendations

Introduction: Advances in E-Business Engineering

(First Paragraph) E-business is one of the most exciting and challenging research areas. Today, not only large companies, but also medium or small-sized companies are learning that e-business is a required component of doing business. E-business has rapidly evolved in the last decade and this trend will continue. In this rapid process, a variety of e-business engineering methods and techniques have been developed. There are many research issues needed to be addressed. As a result, there is a growing demand for insights into challenges, issues, and solutions related to the design, implementation, and management of e-business systems

PrOnto: an Ontology Driven Business Process Mining Tool

Abstract The main aim of data mining techniques and tools is that of identify and extract, from a set of (big) data, implicit patterns which can describe static or dynamic phenomena. Among these latter business processes are gaining more and more attention due to their crucial role in modern organizations and enterprises. Being able to identify and model processes inside organizations is for sure a key asset to discover their weak and strong points thus helping them in the improvement of their competitiveness. In this paper we describe a prototype system able to discover business processes from an event log and classify them with a suitable level of abstraction with reference to a related business ontology. The identified process, and its corresponding level of abstraction, depends on the knowledge encoded in the reference ontology which is dynamically exploited at runtime. The tool has been validated by considering examples and case studies from the literature on process mining

Dynamic production system identification for smart manufacturing systems

This paper presents a methodology, called production system identification, to produce a model of a manufacturing system from logs of the system's operation. The model produced is intended to aid in making production scheduling decisions. Production system identification is similar to machine-learning methods of process mining in that they both use logs of operations. However, process mining falls short of addressing important requirements; process mining does not (1) account for infrequent exceptional events that may provide insight into system capabilities and reliability, (2) offer means to validate the model relative to an understanding of causes, and (3) updated the model as the situation on the production floor changes. The paper describes a genetic programming (GP) methodology that uses Petri nets, probabilistic neural nets, and a causal model of production system dynamics to address these shortcomings. A coloured Petri net formalism appropriate to GP is developed and used to interpret the log. Interpreted logs provide a relation between Petri net states and exceptional system states that can be learned by means of novel formulation of probabilistic neural nets (PNNs). A generalized stochastic Petri net and the PNNs are used to validate the GP-generated solutions. The methodology is evaluated with an example based on an automotive assembly system

Social Security, Labour Market and Restructuring: Current Situation and Expected Outcomes of Reforms

The paper focuses on the social safety nets in Russian Federation and Ukraine in the view of changes on the labour market since the beginning of economic transition. We showed that many past phenomena (e.g. restructuring of the economy, wage and pension arrears, new groups at-risk-of-poverty, demographic transition) caused a need to change an old type social safety net (SSN) into the new one, better adapted to emerging more liberal economy problems. Additionally, we analysed some gender specific issues related to social security that are caused mainly by inequalities in the labour market. Differences of earnings between men and women in Russia caused by sector segregation account for seem to be more important than the gap between gender earnings attributed to the position. In Ukraine the main contributors to gross gender differential of log earnings (that equals to 32%) explained by our model are sector segregation and occupation. We also pointed out to future policy challenges in the area of social security systems in both countries. The retirement reforms introduced recently are a step in the right direction, although their impact will not be felt for a number of years. Other reforms, with more immediate results, are necessary. Social safety nets should be made more efficient and social benefits should be better targeted.Social safety net, labour market, transitional economies