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research-article

A framework for modeling and executing task-Specific resource allocations in business processes

Authors:

Maximilian Völker,

Mathias WeskeAuthors Info & Claims

Computing, Volume 104, Issue 11

Pages 2405 - 2429

https://doi.org/10.1007/s00607-022-01093-2

Published: 01 November 2022 Publication History

Abstract

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 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.

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Cited By

Navarro ASancho MSzelągowski MMedina-Garrido J(2025)Is User Perception the Key to Unlocking the Full Potential of Business Process Management Systems (BPMS)?Journal of Organizational and End User Computing10.4018/JOEUC.36409937:1(1-27)Online publication date: 3-Jan-2025
https://dl.acm.org/doi/10.4018/JOEUC.364099
Wang JYu DLiu C(2024)Task allocation for maximum cooperation in complex structured business processesKnowledge-Based Systems10.1016/j.knosys.2024.111989299:COnline publication date: 18-Oct-2024
https://dl.acm.org/doi/10.1016/j.knosys.2024.111989
Fattouch NBen Lahmar IBoukadi K(2024)Context-aware resource allocation for IoRT-aware business processes based on decentralized multi-agent reinforcement learningCluster Computing10.1007/s10586-024-04760-528:1Online publication date: 24-Oct-2024
https://dl.acm.org/doi/10.1007/s10586-024-04760-5
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Published In

cover image Computing

Computing Volume 104, Issue 11

Nov 2022

189 pages

ISSN:0010-485X

Issue’s Table of Contents

© The Author(s) 2022.

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 November 2022

Accepted: 11 May 2022

Received: 08 September 2021

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Bundesministerium für Wirtschaft und Energie

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Cited By

Navarro ASancho MSzelągowski MMedina-Garrido J(2025)Is User Perception the Key to Unlocking the Full Potential of Business Process Management Systems (BPMS)?Journal of Organizational and End User Computing10.4018/JOEUC.36409937:1(1-27)Online publication date: 3-Jan-2025
https://dl.acm.org/doi/10.4018/JOEUC.364099
Wang JYu DLiu C(2024)Task allocation for maximum cooperation in complex structured business processesKnowledge-Based Systems10.1016/j.knosys.2024.111989299:COnline publication date: 18-Oct-2024
https://dl.acm.org/doi/10.1016/j.knosys.2024.111989
Fattouch NBen Lahmar IBoukadi K(2024)Context-aware resource allocation for IoRT-aware business processes based on decentralized multi-agent reinforcement learningCluster Computing10.1007/s10586-024-04760-528:1Online publication date: 24-Oct-2024
https://dl.acm.org/doi/10.1007/s10586-024-04760-5
Padella AMannhardt FVinci Fde Leoni MVanderfeesten I(2024)Experience-Based Resource Allocation for Remaining Time OptimizationBusiness Process Management10.1007/978-3-031-70396-6_20(345-362)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/978-3-031-70396-6_20
Schumann FRinderle-Ma S(2023)Resource-Driven Process Manipulation: Modeling Concepts and Valid AllocationsCooperative Information Systems10.1007/978-3-031-46846-9_23(416-426)Online publication date: 30-Oct-2023
https://dl.acm.org/doi/10.1007/978-3-031-46846-9_23

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