PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2018 | nr 4 | 34--54
Tytuł artykułu

Information-Decision Model for Self-Controlling Enterprise Processes

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study demonstrates that integrated management and direct control systems may be organised as integrated enterprise process control (EntPC) systems, which are composed of self-controlling enterprise business processes. A business process has been defined as a control system for business activities, which are considered to be business processes of the lower level, or as base processes that are control systems for control plants in the form of infrastructure operations. An enterprise process also influences its delivery. This definition has been generally compared with definitions used in approaches of BPMN, YAWL, ARIS, DEMO and MERODE. Each enterprise process has its own controlling unit that contains one information unit and one decision unit, as well as memory places of the information-decision state variables that are processed by the business transitions that belong to these units. The i-d state variables are attributes of business objects, i.e. business units, business roles, business activities, business accounts and business products. Their values are transferred between business transitions that belong to the same or different controlling units. Relationships between business objects, business transitions and i-d state variables, as well as the other most important concepts of the EntPC system framework (EntPCF), are presented in this paper as the class diagrams of the enterprise process control language (EntPCL). (original abstract)
Rocznik
Numer
Strony
34--54
Opis fizyczny
Twórcy
  • WSB University, Poland
Bibliografia
  • van der Aalst, W., & van Hee, K.M. (2002). Workflow Management: Models, Methods, and Systems Cooperative Information Systems Series. Cambridge, United Kingdom: MIT Press.
  • Badura, D. (2014). Modelling business processes in logistics with the use diagrams BPMN and UML. Forum Scientiae Oeconomia, 2(4), 35-50.
  • Bernus, P., Noran, O., & Molina, A. (2015). Enterprise architecture: Twenty years of the GERAM framework. Annual Reviews in Control, 39, 83-93. doi: 10.1016/j.arcontrol.2015.03.008.
  • Blackstone, J.H., & Cox, J.F. (2005). APICS Dictionary. 11th ed. Falls Church, VA: American Production and Inventory Control Society.
  • Booch, G., Rumbaugh, J., & Jacobson, I. (1999). The Unified Modeling Language. User Guide. Boston, United States: Addison-Wesley.
  • BPMN. (2013). Business Process Model and Notation, Ver.2.0.2, OMG.
  • Bubnicki, Z. (2005). Modern Control Theory. Berlin, Germany: Springer-Verlag.
  • Davis, R., & Brabander. E. (2007). Aris Design Platform: Getting Started with BPM. Berlin, Germany: Springer-Verlag.
  • Dietz, J.L.G. (2006a). The Deep Structure of Business Processes. Communications of ACM, 49(5), 58-64. doi: 10.1145/1125944.1125976.
  • Dietz, J.L.G. (2006b). Enterprise Ontology: Theory and Methodology. Berlin, Germany: Springer-Verlag.
  • Hofstede, A.H.M., van der Aalst, W., Adams M., & Russell, N. (2010). Modern Business Process Automation: YAWL and Its Support Environment. Berlin, Germany: Springer.
  • Iacob, M., Jonkers, H., Lankhorst, M., Proper, E., & Quartel, D.A. (2012). Archimate 2.0 Specification. The Open Group.
  • Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative Industrie 4.0, Final report of the Industrie 4.0 Working Group, Acatec.
  • Kosanke, K., Vernadat, F., & Zelm, M. (1999). CIMOSA: enterprise engineering and integration. Computers in Industry, 40(2-3), 83-97.
  • Langenwalter, G.A. (2000). Enterprise Resources Planning and Beyond: Integrating Your Entire Organization. New York, United States: St. Lucie Press.
  • Lockemann, P.C. (2006). Agents. Multiagent Engineering: Theory and Applications in Enterprises. S. Kirn, O. Herzog, P. Lockemann, & O. Spaniol (Eds.) (pp. 17-34). Berlin, Germany: Springer-Verlag
  • Mesarović, M.D., Macko, D., & Takahara, Y. (1970). Theory of Hierarchical, Multilevel, Systems. New York, United States: Academic Press.
  • Monostori, L., Valckenaers, P., Dolgui, A., Panetto, H., Brdys, M., & Csáji, B.C. (2015). Cooperative Control in Production and Logistics. Annual Reviews in Control, 39, 12-29. doi: 10.1016/j.arcontrol.2015.03.001.ąq\aQq
  • Murill, P.W. (2000). Fundamentals of Process Control Theory (3rd Edition). ISA Publ.
  • Noran, O. (2003). An analysis of the Zachman framework for enterprise architecture from the GERAM perspective. Annual Reviews in Control, 27, 163-183.
  • Olszak, C.M., & Żurada, J. (2015). Information technology tools for Business Intelligence development in organizations. Polish Journal of Management Studies, 12(1), 132-142.
  • Orlicky, J. (1975). Material Requirements Planning. New York, United States: McGraw-Hill.
  • Panetto, H. (2007). Towards a classification framework for interoperability of enterprise applications. International Journal of Computer Integrated Manufacturing, 20(8), 27-740. doi: 10.1080/09511920600996419
  • Reijers, H. (2003). Design and Control of Workflow Processes, 2617. Berlin, Germany: Springer-Verlag.
  • Saha, P. Analyzing TOGAF from the GERAM perspective. Retrieved from http://www.opengroup.org/architecture/wp/saha/TOGAF_GERAM_Mapping.htm
  • Scholten, B. (2007). The road to integration. A guide to applying the ISA-95 standard in manufacturing. Research Triangle Park, NC: ISA Publ.
  • Smith, H., & Fingar, P. (2003). Business Process Management: The Third Wave. Tampa, FL: Meghan-Kiffer Press.
  • Snoeck, M. (2014). Enterprise Information Systems Engineering. The MERODE Approach.
  • Springer. Steinberg, D., Budinsky, F., Paternostro, M., & Merks, E. (2008), EMF: Eclipse Modeling Framework. Addison-Wesley.
  • Vernadat, F. (2002). UEML: Towards a unified enterprise modeling language. International Journal of Production Research, 40(17), 4309-4321. doi: 10.1080/00207540210159626
  • Weske, M. (2012). Business Process Management: Concepts, Languages, Architectures. Berlin, Germany: Springer-Verlag.
  • WFMC, (1999). Terminology and Glossary, Doc. N. Wfmc-Tc-1011, Issue 3.0.
  • Williams, T. (1994). The Purdue Enterprise Reference Architecture. Computers in Industry, 24(2-3), 141-158.
  • Youssef, J. R., Zacharewicz, G., Chen, D., & Vernadat, F. (2017). EOS: enterprise operating systems. International Journal of Production Research, 55.
  • Zaborowski, M. (2009). Outline of the Enterprise Resource-Control Systems Architecture. In E. Tkacz & A. Kapczynski (Eds.), Internet - Technical Development and Applications. Advances in Intelligent and Soft Computing, 64. Berlin, Heidelberg, Germany: Springer.
  • Zaborowski, M. (2011). The EPC II theory. Data Structure in Enterprise Process Control Systems. Management and Production Engineering Review, 2(2), 53-70.
  • Zaborowski M. (2015). Tabular Models of Business Process Structures. In M. Rostański, P. Pikiewicz & P. Buchwald (Eds.), Internet in the Information Society (pp. 281-298). Dabrowa Gornicza, Poland: Publ. University of Dabrowa Gornicza.
  • Zaborowski, M. (2016a). Introduction to the Theory of Enterprise Process Control. Dabrowa Gornicza, Poland: Publ. University of Dabrowa Gornicza.
  • Zaborowski, M. (2016b). Generalization and Composition-Relationships between Objects of Enterprise Process Control Systems. In M. Rostański, P. Pikiewicz, P. Buchwald & K. Maczka (Eds.), Proceedings of the 11th Scientific Conference Internet in the Information Society 2016 (pp. 405-418). Dabrowa Gornicza, Poland: Publ. University of Dabrowa Gornicza.
  • Zaborowski, M. (2018). Data processing in self-controlling enterprise processes. Working paper. Retrieved from https://www.researchgate.net/profile/Miroslaw_Zaborowski2
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.ekon-element-000171549783

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.