2014 ◽  
Vol 6 (2) ◽  
pp. 147-150
Author(s):  
Kęstutis Stankevičius ◽  
Olegas Vasilecas

Googling the term “Business Process Simulation” in April 2013 yielded only 42.1 thousand hits. It is not much compared with googling the term such as “Business Process Modelling” in the same time, which yielded approx. 1.470 million hits. That is 35 times more compared to the previous search. The difference between modelling and simulation is arguable. In fact, the terms ‘simulation’ and ‘modelling’ are often used synonymously, but the authors prefer to distinguish between the terms and look at modelling as an act of building a model while simulation is considered an act or even a process of using that model for a specific purpose or study. If simulation is a manipulation process of one or more variables, which can be changed and observed, then this kind of process is best managed and controlled by business rules that can also be manipulated in the simulation process. „Google“ paieškoje įvestas terminas „Business Process Simulation“ 2013 metų balandžio mėn. duoda tik 42,1 tūkst. paieškos rezultatų. Tai nėra daug, palyginti su kitu paieškos terminu „Business Process Modelling“. Tuo pačiu metu reikšminiai paieškos žodžiai duoda apie 1,470 milijono paieškos rezultatų. Tai 35 kartus daugiau, palyginti su prieš tai daryta paieška. Galima ginčytis, ar yra skirtumas tarp modeliavimo ir simuliavimo? Iš tiesų žodžiai „modeliavimas“ ir „simuliavimas“ dažnai vartojami kaip sinonimai, tačiau straipsnyje siūloma į modeliavimą ir simuliavimą žiūrėti skirtingai, t. y. į modeliavimą kaip į veiksmą, kuris sukuria modelį, į simuliavimą – kaip į veiksmą arba procesą, kuris sudaro sąlygas taikyti šį modelį konkrečiam tikslui arba tyrimui atlikti. Jeigu apibrėžiama, kad simuliavimas yra vieno ar daugiau kintamųjų manipuliacijos procesas, kurį galima pakeisti ir stebėti, tada taip pat galima susitarti, kad šis procesas geriausiai grindžiamas verslo taisyklėmis, kurios gali būti papildomos arba keičiamos simuliavimo proceso metu.


Author(s):  
Rui M. Lima

Organizations have production planning and control (PPC) processes supported by systems that execute, mainly, repetitive calculations. Based on these calculation results, decisions are taken by production managers. These decision processes make the connection between different levels of aggregation of information and could benefit from the increment of the level of automation. An increased level of application of business process modelling languages is proposed in order to contribute to increment the level of process automation and the detail of business analysis. Thus being, concepts of integration of production management processes, specifically of production planning and control processes are presented. These concepts, the application of business process modelling language (BPML) and some solutions of PPC integration compose the core content of this work. Additionally, criteria for evaluation of these processes of integration are identified and discussed. Finally, the presentation of an industrial case will be supported by BPML model.


Author(s):  
Rui M. Lima

Organizations have production planning and control (PPC) processes supported by systems that execute, mainly, repetitive calculations. Based on these calculation results, decisions are taken by production managers. These decision processes make the connection between different levels of aggregation of information and could benefit from the increment of the level of automation. An increased level of application of business process modelling languages is proposed in order to contribute to increment the level of process automation and the detail of business analysis. Thus being, concepts of integration of production management processes, specifically of production planning and control processes are presented. These concepts, the application of business process modelling language (BPML) and some solutions of PPC integration compose the core content of this work. Additionally, criteria for evaluation of these processes of integration are identified and discussed. Finally, the presentation of an industrial case will be supported by BPML model.


Author(s):  
Rui M. Lima

Organizations have production planning and control (PPC) processes supported by systems that execute, mainly, repetitive calculations. Based on these calculation results, decisions are taken by production managers. These decision processes make the connection between different levels of aggregation of information and could benefit from the increment of the level of automation. An increased level of application of business process modelling languages is proposed in order to contribute to increment the level of process automation and the detail of business analysis. Thus being, concepts of integration of production management processes, specifically of production planning and control processes are presented. These concepts, the application of business process modelling language (BPML) and some solutions of PPC integration compose the core content of this work. Additionally, criteria for evaluation of these processes of integration are identified and discussed. Finally, the presentation of an industrial case will be supported by BPML model.


2016 ◽  
Vol 22 (1) ◽  
pp. 56-74 ◽  
Author(s):  
Stefania Bisogno ◽  
Armando Calabrese ◽  
Massimo Gastaldi ◽  
Nathan Levialdi Ghiron

Purpose – The purpose of this paper is to provide a method for analysing and improving the operational performance of business processes (BPs). Design/methodology/approach – The method employs two standards, Business Process Modelling Notation (BPMN 2.0) and Business Processes Simulation (BPSim 1.0), to measure key performance indicators (KPIs) of BPs and test for potential improvements. The BP is first modelled in BPMN 2.0. Operational performance can then be measured using BPSim 1.0. The process simulation also enables execution of reliable “what-if” analysis, allowing improvements of the actual processes under study. To confirm the validity of the method the authors provide an application to the healthcare domain, in which the authors conduct several simulation experiments. The case study examines a standardised patient arrival and treatment process in an orthopaedic-emergency room of a public hospital. Findings – The method permits detection of process criticalities, as well as identifying the best corrective actions by means of the “what-if” analysis. The paper discusses both management and research implications of the method. Originality/value – The study responds to current calls for holistic and sustainable approaches to business process management (BPM). It provides step-by-step process modelling and simulation that serve as a “virtual laboratory” to test potential improvements and verify their impact on operational performance, without the risk of error that would be involved in ex-novo simulation programming.


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