Name
Abstract | ||
|---|---|---|
In order to be able to flexibly adjust a company's business processes (BPs) there is an increasing interest in flexible process-aware information systems (PAISs). This increasing flexibility, however, typically implies decreased user guidance by the PAIS and thus poses significant challenges to its users. As a major contribution of this work, we propose a recommendation system which assists users during process execution to optimize performance goals of the processes. The recommendation system is based on a constraint-based approach for planning and scheduling the BP activities and considers both the control-flow and the resource perspective. To evaluate the proposed constraint-based approach different algorithms are applied to a range of test models of varying complexity. The results indicate that, although the optimization of process execution is a highly constrained problem, the proposed approach produces a satisfactory number of suitable solutions. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.datak.2013.01.004 | Data & Knowledge Engineering |
Keywords | Field | DocType |
Business processes,Workflow management,Business intelligence,Flexible process-aware information systems,Recommendations,Constraint programming,Scheduling | Artifact-centric business process model,Information system,Business process management,Data mining,Business process,Scheduling (computing),Computer science,Constraint programming,Business process modeling,Workflow,Database | Journal |
Volume | Issue | ISSN |
86 | 1 | 0169-023X |
Citations | PageRank | References |
26 | 0.90 | 34 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Irene Barba | 1 | 105 | 9.52 |
| Barbara Weber | 2 | 1200 | 56.07 |
| Carmelo Del Valle | 3 | 113 | 16.50 |
| Andres Jimenez Ramirez | 4 | 53 | 6.57 |