Process modeling

About: Process modeling is a research topic. Over the lifetime, 11639 publications have been published within this topic receiving 223996 citations. The topic is also known as: process simulation.

Process cubes : slicing, dicing, rolling up and drilling down event data for process mining

Abstract: Recent breakthroughs in process mining research make it possible to discover, analyze, and improve business processes based on event data. The growth of event data provides many opportunities but also imposes new challenges. Process mining is typically done for an isolated well-defined process in steady-state. However, the boundaries of a process may be fluid and there is a need to continuously view event data from different angles. This paper proposes the notion of process cubes where events and process models are organized using different dimensions. Each cell in the process cube corresponds to a set of events and can be used to discover a process model, to check conformance with respect to some process model, or to discover bottlenecks. The idea is related to the well-known OLAP (Online Analytical Processing) data cubes and associated operations such as slice, dice, roll-up, and drill-down. However, there are also significant differences because of the process-related nature of event data. For example, process discovery based on events is incomparable to computing the average or sum over a set of numerical values. Moreover, dimensions related to process instances (e.g. cases are split into gold and silver customers), subprocesses (e.g. acquisition versus delivery), organizational entities (e.g. backoffice versus frontoffice), and time (e.g., 2010, 2011, 2012, and 2013) are semantically different and it is challenging to slice, dice, roll-up, and drill-down process mining results efficiently.

Conceptual framework for the thermal process modelling of fused deposition

Abstract: Explains the fused deposition process and examines the rationale behind the cooling process model. Outlines the complexity of the problems and characteristics of fused deposition. Presents a general formulation for road cooling followed by results and their implications. Concludes with proposed directions for future work.

Causal nets: a modeling language tailored towards process discovery

Abstract: Process discovery--discovering a process model from example behavior recorded in an event log--is one of the most challenging tasks in process mining. The primary reason is that conventional modeling languages (e.g., Petri nets, BPMN, EPCs, and ULM ADs) have difficulties representing the observed behavior properly and/or succinctly. Moreover, discovered process models tend to have deadlocks and livelocks. Therefore, we advocate a new representation more suitable for process discovery: causal nets. Causal nets are related to the representations used by several process discovery techniques (e.g., heuristic mining, fuzzy mining, and genetic mining). However, unlike existing approaches, we provide declarative semantics more suitable for process mining. To clarify these semantics and to illustrate the non-local nature of this new representation, we relate causal nets to Petri nets.

Aligning Process Automation and Business Intelligence to Support Corporate Performance Management

Abstract: In recent years, companies have tried to realize efficiency gains of business process orientation by implementing business process automation (BPA) systems coordinating the interaction of existing function-oriented enterprise applications according to the logic of specific business processes. Additionally, business intelligence (BI) applications have been installed to support management in measuring the company’s performance and deriving appropriate decisions. BI and BPA initiatives are usually organized as separate IS projects that are not properly coordinated, leading in turn to an unsatisfactory alignment of strategic management and operational business process execution. The proposed article is to depict how new trends in the IS area can lead to a convergence of BPA and BI and therefore deliver appropriate support for an integrated corporate performance management (CPM). The utilization of IS in an integrated CPM solution is illustrated by an example from the telecommunications sector.