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A framework for modeling and executing task

  • As resources are valuable assets, organizations have to decide which resources to allocate to business process tasks in a way that the process is executed not only effectively but also efficiently. Traditional role-based resource allocation leads to effective process executions, since each task is performed by a resource that has the required skills and competencies to do so. However, the resulting allocations are typically not as efficient as they could be, since optimization techniques have yet to find their way in traditional business process management scenarios. On the other hand, operations research provides a rich set of analytical methods for supporting problem-specific decisions on resource allocation. This paper provides a novel framework for creating transparency on existing tasks and resources, supporting individualized allocations for each activity in a process, and the possibility to integrate problem-specific analytical methods of the operations research domain. To validate the framework, the paper reports on the designAs resources are valuable assets, organizations have to decide which resources to allocate to business process tasks in a way that the process is executed not only effectively but also efficiently. Traditional role-based resource allocation leads to effective process executions, since each task is performed by a resource that has the required skills and competencies to do so. However, the resulting allocations are typically not as efficient as they could be, since optimization techniques have yet to find their way in traditional business process management scenarios. On the other hand, operations research provides a rich set of analytical methods for supporting problem-specific decisions on resource allocation. This paper provides a novel framework for creating transparency on existing tasks and resources, supporting individualized allocations for each activity in a process, and the possibility to integrate problem-specific analytical methods of the operations research domain. To validate the framework, the paper reports on the design and prototypical implementation of a software architecture, which extends a traditional process engine with a dedicated resource management component. This component allows us to define specific resource allocation problems at design time, and it also facilitates optimized resource allocation at run time. The framework is evaluated using a real-world parcel delivery process. The evaluation shows that the quality of the allocation results increase significantly with a technique from operations research in contrast to the traditional applied rule-based approach.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Sven IhdeORCiD, Luise PufahlORCiDGND, Maximilian VölkerORCiD, Asvin GoelORCiDGND, Mathias WeskeORCiDGND
DOI:https://doi.org/10.1007/s00607-022-01093-2
ISSN:0010-485X
ISSN:1436-5057
Titel des übergeordneten Werks (Englisch):Computing : archives for informatics and numerical computation
Untertitel (Englisch):specific resource allocations in business processes
Verlag:Springer
Verlagsort:Wien
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Erstveröffentlichung:17.06.2022
Erscheinungsjahr:2022
Datum der Freischaltung:29.02.2024
Freies Schlagwort / Tag:Activity-oriented Optimization; Business Process Management; Process Execution; Resource Allocation; Resource Management
Band:104
Seitenanzahl:25
Erste Seite:2405
Letzte Seite:2429
Fördernde Institution:BMWi [01MD18012C]
Organisationseinheiten:Digital Engineering Fakultät / Hasso-Plattner-Institut für Digital Engineering GmbH
DDC-Klassifikation:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Peer Review:Referiert
Publikationsweg:Open Access / Hybrid Open-Access
Lizenz (Deutsch):License LogoCC-BY - Namensnennung 4.0 International
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