Business process- and graph grammar-based approach to ERP system modelling

• Autorzy: Flasiński M. , Jurek J.
• Języki publikacji: EN

Abstrakty

EN

Methods of ERP (Enterprise Resource Planning) systems modelling are presented in the paper. The modelling is necessary to adapt an ERP system to a company in such a way, that it fully supports a management at the operational level, i.e. it supports the business processes in the best possible way. The choice of methods (business process and graph grammarbased) described in the paper is based on the authors' experiences in several dozen of implementation projects, realized in large Polish enterprises. The methods can be used to select the best ERP system for a company, to design its implementation, and to customize the system accordingly to the requirements of a company.

Słowa kluczowe

EN

ERP systems; business processes; graph grammars

PL

systemy ERP; procesy biznesowe; gramatyka grafowa

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Journal of Applied Computer Science
• Rocznik: 2012
• Tom: Vol. 20, nr 1
• Strony: 7--21
• Opis fizyczny: Bibliogr. 20 poz.

Twórcy

autor

Flasiński M.

autor

Jurek J.

• Jagiellonian University IT Systems Department ul. prof. St. Lojasiewicza 4, Cracow 30-348, Poland,

Bibliografia

• [1] Vaman, J., ERP in Practice, Tata McGraw-Hill Publishing Company Ltd., 2007.
• [2] Leon, A., Enterprise Resource Planning, 2nd Edition, Tata McGraw-Hill Publishing Company Ltd., 2008.
• [3] Flasiński, M., IT Project Management, Polish Scientific Publishers PWN, 2006, (in Polish).
• [4] Hammer, M. and Champy, J., Reengineering the Corporation, Harper Business, 1993.
• [5] Rummler, G. and Brache, A., Improving Performance, Wiley, 1995.
• [6] Yourdon, E., Modern Structured Analysis, Prentice Hall, 1988.
• [7] Rumbaugh, J., Jacobson, I., and Booch, G., The Unified Modeling Language Reference Manual, Addison-Wesley, 2004.
• [8] Rittgen, P. e., Enterprise Modeling and Computing with UML, Idea Group Publishing, 2007.
• [9] Monk, E. and Wagner, B., Concepts In Enterprise Resource Planning, 3rd Edition, Course Technology, 2008.
• [10] Magal, S. and Word, J., Essentials of Business Processes and Information Systems, John Wiley & Sons, 2009.
• [11] Flasiński, M., On the parsing of deterministic graph languages for syntactic pattern recognition, Pattern Recognition, Vol. 26, 1993, pp. 1-16.
• [12] Flasiński, M., Power properties of NLC graph grammars with a polynomial membership problem, Theoretical Computer Science, Vol. 201, 1998, pp. 189-231.
• [13] Flasiński, M., Inference of parsable graph grammars for syntactic pattern recognition, Fundamenta Informaticae, Vol. 80, 2007, pp. 379-413.
• [14] Flasiński, M., On the use of graph grammars for business process optimization, Foundations of Control and Management Science, Vol. 9, 2008, pp. 23-28.
• [15] Flasiński, M. and Jurek, J., Dynamically programmed automata for quasi context sensitive languages as a tool for inference support in pattern recognition-based real-time control expert systems, Pattern Recognition, Vol. 32, 1999, pp. 671-690.
• [16] Jurek, J., Recent developments of the syntactic pattern recognition model based on quasi-context sensitive languages, Pattern Recognition Letters, Vol. 26, 2005, pp. 1011-1018.
• [17] Jurek, J., Grammatical inference as a tool for constructing self-learning syntactic pattern recognition-based agents, Lecture Notes in Computer Science, Vol. 5103, 2005, pp. 1011-1018.
• [18] Jurek, J., On the use of syntactic pattern recognition methods for strategic management, System Science, Vol. 35, 2009, pp. 55-61.
• [19] Tadeusiewicz, R., Ogiela, L., and Ogiela, M., The automatic understanding approach to systems analysis and design, International Journal of Information Management, Vol. 28, 2008, pp. 38-48.
• [20] Tadeusiewicz, R., Ogiela, M., and Ogiela, L., Automatic information processing and understanding in cognitive business systems, In: Proceedings of 11th International Conference on Enterprise Information System, 2009.