Business Process Simulation on Procedural Graphical Process Models

Abstract

Business process simulation marks an essential technique for analyzing business processes and for reasoning about process improvement. With first contributions dating back to the mid-1990s, computerized business process simulation has been a continuing research focus and is widely acknowledged as foundational to Business Process Management research and practice. Reviewing contributions to the field published between 1990 and 2018, the authors assess the state of research on business process simulation and develop an organizing overview of research contributions discussing simulation approaches, tool support, results visualization, use context, application purposes, and adoption barriers. Findings inform future research on business process simulation by discussing paths for behavioral research on the use of business process simulation, user requirements, and adoption barriers as well as complementary paths for design science research addressing limitations of present approaches and simulation tool support.

Employee Satisfaction and Electronic Workflow at King Hussein Cancer Center: Descriptive and Stepwise Regression Analytics with Questionnaire Validity Measuring

“…The paragraph with the highest arithmetic mean was paragraph (2), "Using the electronic system is more useful in my work," followed by paragraphs ( 5), ( 6), (4), and (1), and the paragraph with the lowest mean was paragraph (3). 2, furthermore, illustrates that the mean of "Electronic Transfer" of work attained 4.06 with a high degree of estimation; however, the means of paragraphs ranged between 3.90 and 4.17, all with a high degree of estimation, where paragraph (5), "The electronic system helps to respond to the transferred information in a short time," was the highest mean, followed by paragraphs (4), ( 1), (6), and (3), and nally the lowest mean was paragraph (2), "The required functional skills to transfer the electronic work are not a hard thing." The electronic system helps to obtain the required information in time.…”

“…As a result, the whole mean of "Electronic Audit and Control "reached 4.06 with a high degree of estimation. 4, the mean of "Electronic Delay or Postponement" met 3.89 with a high degree of estimation, as the means of paragraphs ranged between 3.47 and 4.10, this time with high and medium degrees of estimation, with the highest mean being paragraph (5), "The electronic system helps to have the information accurately and clearly," followed by paragraphs (6), ( 4), ( 2), (3), and nally (1), the lowest mean. 4.2.5 Electronic Save and Store: Table 5, alternatively, indicates that with a high degree of estimation, the mean of "Electronic Save and Store" approached 4.12, as it reveals that the means of paragraphs ranged between 3.89 and 4.24 with a high degree of estimation, where the highest mean was paragraph (2), " Saving and storing by using the electronic system has become easier," followed by paragraph (3), while paragraphs (1) and ( 4) had the same mean, and nally the lowest mean was paragraph (6), "No hazard when saving and storing information."…”

“…The means of the paragraphs, as shown in Table 3, ranged between 3.84 and 4.18, all with a high degree of estimation, where paragraph (3), "The electronic system speeds up auditing and controlling," had the highest mean, followed by paragraphs (2), (1), (5), and (4), and nally, the lowest mean was paragraph (6), "Data and information...controlling." As a result, the whole mean of "Electronic Audit and Control "reached 4.06 with a high degree of estimation.…”

“…For instance, business process software is essential for running a business and streamlining processes. However, recent directions in design science studies focus on the shortcomings of present tactics and tool support [5]. Additionally, these technologies are just another mix of links that re ow fundamental logic, such as connecting individuals to enterprises throughout the globe.…”

Supporting capacity management decisions in healthcare using data-driven process simulation

“…Similarly, Benevento et al [81] proposed an Interactive Process Discovery technique in which the modeller has complete control over discovering a process model from an event log. However, the resulting process models are Petri Nets, which are typically rather difficult to understand for domain experts without prior knowledge about this modelling technique [82,83]. Even though algorithms exist to convert Petri Nets to more comprehensible notations, such as Business Process Model and Notation (BPMN) [84,85], these algorithms often create large and complex models [84,85].…”