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

Wybrane pełne teksty z tego czasopisma
Identyfikatory
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.
Wydawca
Rocznik
Strony
335--340
Opis fizyczny
Bibliogr. 15 poz., rys.
Twórcy
autor
autor
autor
  • Faculty of Management, AGH University of Science and Technology, ul. Gramatyka 10, 30-067 Kraków, Poland, amaciol@zarz.agh.edu.pl
Bibliografia
  • 1.       Caporalli, A., Gileno, L. A., Button, S. T., Expert system for hot forging design, J. Mat. Proc. Techn., 80-81, 1998, 131-135.
  • 2.       Cemal Cakir, M., Irfan, O., Cavdar, K., An expert system approach for die and mold making operations, Robotics and Computer-Integrated Manufacturing, 21(2), 2005, 175-183.
  • 3.       Dayal, U., Buchmann, A.P., McCarthy, D.R., Rules Are Objects Too: A Knowledge Model for an Active, Object-Oriented Database Management System,    eds, Dittrich, K.R.,    Advances in Object-Oriented Database Systems, Berlin, Springer, 1998, 129-143.
  • 4.       Hanson,  E.N., Widom, J., An Overview of Production Rules in Database Systems, Knowledge Engineering Review8(2), 1993, 121-143.
  • 5.       Herbst, H., Knolmayer, G., Ansatze żur Klassifikation von Geschaftsregeln, Wirtschaftsinformatik 37 (2), 1995, 149 -159.
  • 6.       Hammer, M., Champy, J., Reengineering the Corporation, New York, Harper Business, 1993.
  • 7.       Macioł, A., An application of rule-based tool in Attributive Logic for business rules modeling, Expert Systems With Applications, 34/3, 2006, 1825-1836.
  • 8.       Macioł, A., Integration of data and rules in Inference with Queries method, Business Information Systems, llth Int. Conf., BIS 2008 Proceedings, Lecture Notes in Business In formation Processing, Innsbruck, 2008, 424-436.
  • 9.       Macioł A., Macioł P., Intelligent Hybrid System for Forging Process Design Support, Steel Research Int., 79, 2008, Special Edition Metal Forming Conf. vol. l, 521-528.
  • 10.      Macioł A., Stawowy A., Wrona R., Macioł P., Casting process selection using SQL and rule based reasoning, IMC 24, Manufacturing: focus on the future, Proc. 24th Int. Manufacturing Conf, 2 ed. Joe Phelan, Waterford Institute of Technology, School of Engineering, Ireland, 2007, 909-916.
  • 11.      Minsky, M., A framework for representing knowledge, ed., Winston,   P.,   The   Psychology   of   Computer  Vision, McGrow-Hill, New York, 1977.
  • 12.      Pohl, K., The Three Dimensions of Requirements Engineering, eds, Rolland, C., Bodart F., Cauvet C., Proceedings of the Fifth International Conference on Advanced Information Systems Engineering, Berlin, Springer, 1993, 275 -292.
  • 13.      Ravi, R., Prasad, Y.V.R.K., Sarnia, V.V.S., Development of Expert Systems for the Design of a Hot-Forging Process Based on Material Workability, J. of Materials Engineering and Performance, 12, 2003, 646-652.
  • 14.      Streng, R.J., BPR needs BIR and BTR: The PIT-framework for Business Re-engineering,   Proceedings of the Second SISnet Conference, Barcelona, 1994.
  • 15.      Tsalgatidou, A., Karakostas, V., Loucopoulos, P., Rule-Based  Requirements  Specification  and Validation,  eds, Steinholtz, B., Sølvberg, A., Bergman, L., Proceedings of the Second Nordic Conference on Advanced Information Systems Engineering, Berlin, Springer, 1990, 251 - 263.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ7-0002-0051
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