PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Data processing in self-controlling enterprise processes

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study presents cause-effect dependencies between inputs and outputs of business transitions that are software objects designed for processing information-decision state variables in integrated enterprise process control (EntPC) systems. Business transitions are elementary components of controlling units in enterprise processes that have been defined as self-controlling, generalized business processes, which may serve not only as business processes but also as business systems or their roles. Business events, which have zero durations by definition, are interpreted as executions of business actions that are main operations of business transitions. Any ordered set of business actions, performed in the controlling unit of a given enterprise process and attributed to the same discrete-time instant, is referred to as ‘the information-decision process’. The i-d processes may be substituted by managerial business processes, performed on the lower organizational level, where durations of activity executions are greater than zero, but discrete-time periods are considerably shorter. In such a case, procedures of business actions are performed by corresponding activities of managerial processes, but on the level of business transitions the durations of their executions are imperceptible, and many different business events may occur at the same discrete-time instant. It has been demonstrated in the paper how to control business actions to ensure that a given i-d state variable may not change more than once at a given instant. Furthermore, the rules of designing the i-d process structures, which prevent random changes of transitory states, have been presented.
Rocznik
Strony
3--20
Opis fizyczny
Bibliogr. 32 poz., rys.
Twórcy
  • Department of Management Engineering, the University of Dąbrowa Górnicza, 1c Cieplaka St., 41-300 Dąbrowa Górnicza, Poland
Bibliografia
  • [1] M. Zaborowski, “The EPC theory. Basic notions of enterprise process control”, Management and Production Engineering Review, 1(3), 75‒96 (2010).
  • [2] M. Zaborowski, Introduction to the Theory of Enterprise Process Control, Publ. University of Dabrowa Gornicza, 2016 (in Polish).
  • [3] B. Scholten, The road to integration. A guide to applying the ISA-95 standard in manufacturing, ISA Publ., Research Triangle Park, NC 27709, 2007.
  • [4] Z. Bubnicki, Modern Control Theory, Springer-Verlag, Berlin, 2005.
  • [5] T. Kaczorek, Control Theory, PWN, Warsaw, 1977, (in Polish).
  • [6] J.H. Blackstone and J.F. Cox, APICS Dictionary. 11th ed., American Production and Inventory Control Society, Alexandria, VA, 2005.
  • [7] W. van der Aalst and K.M. van Hee, Workflow Management. Models, Methods, and Systems. MIT Press, Cambridge, 2002.
  • [8] A.H.M. Hofstede, W. van der Aalst, M. Adams, and N. Russell, Modern Business Process Automation: YAWL and Its Support Environment, Springer, Berlin, 2010.
  • [9] H. Reijers, Design and Control of Workflow Processes. Springer-Verlag, Berlin, 2003.
  • [10] M. Zaborowski, “The information-decision model for self-controlling enterprise processes”, (unpublished), 2017. https://www.researchgate.net/profile/Miroslaw_Zaborowski2
  • [11] M.D. Mesarović, D. Macko, and Y. Takahara, Theory of Hierarchical, Multilevel Systems. Academic Press., New York, 1970
  • [12] J.L.G. Dietz, Enterprise Ontology: Theory and Methodology, Springer-Verlag, Berlin, 2006
  • [13] M. Weske, Business Process Management: Concepts, Languages, Architectures, Springer-Verlag, Berlin, 2012.
  • [14] M. Zaborowski, “Tabular models of business process structures”, in Internet in the Information Society, pp. 281‒298, eds. M. Rostański, P. Pikiewicz, and P. Buchwald, Publ. University of Dąbrowa Górnicza, 2015.
  • [15] M. Zaborowski, “Generalization and composition relationships between objects of enterprise process control systems”, in Internet in the Information Society, pp. 405–418, eds. M. Rostański, P. Pikiewicz, P. Buchwald, and K. Mączka, Publ. University of Dąbrowa Gornicza, 2016.
  • [16] H. Kagermann, W. Wahlster, and J. Helbig, Recommendations for implementing the strategic initiative Industrie 4.0, Final report of the Industrie 4.0 Working Group, Acatech, 2013.
  • [17] L. Monostori, “Cyber-physical production systems: Roots from manufacturing science and technology”, Automatisierungstechnik, 63(10), 766‒776 (2015).
  • [18] Ch.J. Bartodziej, The Concept Industry 4.0. An Empirical Analysis of Technologies and Applications in Production Logistics, Springer Gabler, Berlin 2017.
  • [19] Y. Liao, F. Deschamps, E. de Freitas Rocha Loures, and L.F. Ramos, “Past, present and future of Industry 4.0 – a systematic literature review and research agenda proposal”, International Journal of Production Research, vol. 55 (2017).
  • [20] J.R. Youssef, G. Zacharewicz, D. Chen, and F. Vernadat, “EOS: enterprise operating systems”, International Journal of Production Research, vol.55 (2017).
  • [21] J. Klamka, A. Czornik, and M. Niezabitowski, “Stability and controllability of switched systems”, Bull. Pol. Ac.: Tech. 61(3), 547‒555 (2013).
  • [22] P.W. Murrill, Fundamentals of Process Control Theory, 3rd ed., ISA Publ., 2000.
  • [23] J. Orlicky, Material Requirements Planning, Mc Graw-Hill, New York, 1975.
  • [24] P.C. Lockemann, “Agents”, in Multiagent Engineering: Theory and Applications in Enterprises, pp. 17‒34, eds. S. Kirn, O. Herzog, P. Lockemann, and O. Spaniol, Springer-Verlag, Berlin, 2006.
  • [25] L. Monostori, P. Valckenaers, A. Dolgui, H. Panetto, M. Brdys, and B. C. Csáji, “Cooperative control in production and logistics”, Annual Reviews in Control 39, 12–29 (2015),
  • [26] G. Booch, J. Rumbaugh, and I. Jacobson, The Unified Modeling Language. User Guide, Addison-Wesley, Boston, 1999.
  • [27] M. Iacob, H. Jonkers, M. Lankhorst, E. Proper, and D.A. Quartel, Archimate 2.0 Specification, The Open Group, 2012.
  • [28] F. Vernadat, “UEML: Towards a unified enterprise modeling language”, International Journal of Production Research 40 (17), 4309–4321 (2002).
  • [29] H. Panetto, “Towards a classification framework for interoperability of enterprise applications”, International Journal of Computer Integrated Manufacturing, 20 (8): 727–740 (2007).
  • [30] M. Zaborowski, “Outline of the enterprise resource control systems architecture”, in Internet – Technical Development and Applications, eds. E. Tkacz and A. Kapczynski, Advances in Intelligent and Soft Computing, vol. 64, Springer, Berlin, Heidelberg, 2009.
  • [31] K. Jensen, Coloured Petri Nets, Springer, Berlin,1997.
  • [32] H. Smith and P. Fingar, Business Process Management: The Third Wave, Meghan-Kiffer Press, Tampa, 2003.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-58363242-3910-4329-8c67-b51514731c01
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.