2024/09/02 by Michel Kunkler, Kunkler, Michel, Felix Schumann +3
Business, Management and Accounting · #Big Data and Business Intelligence #Business Process Modeling and Analysis #FOS: Computer and information sciences #Software Engineering (cs.SE)
paper · pdf · doi:10.48550/arxiv.2409.01276
openalex publication_date 2024/09/02 · openalex created_date 2024/09/29 · openalex updated_date 2026/07/28
Business Process Management and Operations Research are two research fields that both aim to enhance value creation in organizations. While Business Process Management has historically emphasized on providing precise models, Operations Research has focused on constructing tractable models and their solutions. This systematic literature review identifies and analyzes work that uses combined concepts from both disciplines. In particular, it analyzes how business process models have been conceptualized as mathematical models and which optimization techniques have been applied to these models. Results indicate a strong focus on resource allocation and scheduling problems. Current approaches often lack support of the stochastic nature of many problems, and do only sparsely use information from process models or from event logs, such as resource-related information or information from the data perspective.