Business and technological rules management system for enterprises in iron and steel industry

• Autorzy: Macioł, A. , Gaweł, B. , Jankowski, R.

Warianty tytułu

PL

System zarządzania regułami biznesowymi dla przedsiębiorstw z sektora hutniczego

• Języki publikacji: EN

Abstrakty

EN

Business rules, a well as Business Rules Engines or Business Rules Management Systems, are terms that are becoming increasingly common in today's information technology industry. Modern Business Rules Management Systems are typically based on ,,Business Rules Manifesto - The Principles of Rule Independence? which was published in 2003. The central idea behind this document is that any organization has logic that is used to carry out its operational and managerial tasks. The individual pieces of this logic are defined in declarative way without being procedurally itemized as individual rules. So the major objective of modern business rules management systems is to allow describing business and technological processes independently of the software system to be implemented. As a result Business Rules Engines are completely new paradigm of information technology. The paradigm, described above, causes that business rules are applied to support wide spectrum of decisions, especially connected with managerial and technological area of production company. Until recently many of this problems have not been solved by computers. Examples of such decisions are: select appropriate technology to fill an order, estimate cost of order, select operational parameters of technological process, reusing redundant resources. In this paper we propose the framework which brings together concepts of business rules and expert, decision-support systems to help business experts with business rules implementation in natural language. We formulate special, graphical language, close to natural, for describing business and technological processes. Completeness and preciseness of processes which were described in this language, are validated by BRMS using e.g. simulation. Properly described processes are ready for using by IT system without any interference of IT experts. Our framework create same advantages for production company. It reduces costs of maintaining information system. More operational decision almost entirely based on intuition from now may by influenced by variety of quantitative factors. Whole enterprise can respond much more quickly to rapid change in environment due to automation in using its knowledge. Automation of knowledge also reduce probability of misunderstanding between member of organization and create possibility of continuously examine ways to improve business processes. Our framework is intended to support technological processes and decisions in area of metallurgy.

PL

U podstaw systemów zarządzania regułami biznesowymi leży założenie, że każda organizacja posiada pewną logikę biznesową, którą wykorzystuje do osiągania swoich celów operacyjnych i strategicznych. Współczesne systemy zarządzania regułami biznesowymi dążą do takiego opisu tej logiki, by możliwa była jej implementacja w dowolnym systemie informatycznym. O ile procesy rutynowe można zamodelować wykorzystując odpowiednie istniejące rozwiązania ERP, CRM, SCM czy WFM, o tyle wiele procesów i decyzji, występujących szczególnie w obszarze technologicznym, nadal czeka na odpowiednie metodologie. W artykule prezentujemy wykorzystanie metodologii IwQ do stworzenia platformy łączącej w sobie koncepcje reguł biznesowych oraz systemu wspomagania decyzji, której celem będzie implementacja reguł biznesowych w języku graficznym o składni bliskiej naturalnemu. Kompletność i precyzja opisu procesu w tym języku może być walidowana np. przy pomocy symulacji, po czym odpowiednio opisane procesy są gotowe do implementacji bez pomocy personelu informatycznego.

Słowa kluczowe

EN

business rules management; expert systems; inference engine; metal forming technology

• Czasopismo: Computer Methods in Materials Science
• Rocznik: 2009
• Tom: Vol. 9, No. 2
• Strony: 335-340
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Macioł, A.

autor

Gaweł, B.

autor

Jankowski, R.

• Faculty of Management, AGH University of Science and Technology, ul. Gramatyka 10, 30-067 Kraków, Poland,

Bibliografia

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