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A theoretical comparison upon the use of UML or BPMN in the modeling of logistic processes and the management of logistical operations
Author(s) -
F I Munteanu
Publication year - 2019
Publication title -
scientific bulletin
Language(s) - English
Resource type - Journals
eISSN - 2392-8956
pISSN - 1454-864X
DOI - 10.21279/1454-864x-19-i2-006
Subject(s) - unified modeling language , business process model and notation , computer science , process (computing) , process modeling , modeling language , software engineering , notation , applications of uml , domain (mathematical analysis) , business process , process management , systems engineering , business process modeling , work in process , programming language , engineering , software , operations management , mathematical analysis , arithmetic , mathematics
Although the use of UML and BPMN is widely spread among many domains, it has not yet been analysed which of the two approaches favours the modelling of logistical process. In a world in which all actions have become more constricted by the time factor and everything needs to arrive “just in time”, a successful logistical model can influence the success or the failure of many projects that are linked to logistical services. As such, it is important to compare the best possible tools that favour the correct and efficient modelling of logistical businesses and approaches. The article will shortly try to present an overview of the advantages and disadvantages of using either UML ( Unified Modelling Language) or BPMN ( Business Process Modelling Notation) in modelling the logistical process. In comparing these two languages, the article will analyse some characteristics that can be applied to make the logistical models more efficient, structured and most important applicable. It is highly advisable, when choosing one of the two languages to have a clear choice from the start in order to not switch back to the other language during the modelling process or even in the implementation phase, upon realising that there some features that are not favorable for this domain-specific modelling.

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