Resource Optimization in Business Processes

Sander P.F. Peters; Remco M. Dijkman; Paul W.P.J. Grefen

doi:10.1109/EDOC52215.2021.00021

Resource Optimization in Business Processes

Sander P.F. Peters, Remco M. Dijkman, Paul W.P.J. Grefen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

7 Citations (Scopus)

2 Downloads (Pure)

Abstract

Traditionally, the optimal resource allocation in a business process is determined by manually exploring a number of options, but whether this leads to the optimal solution is questionable; it is possible that an unexplored option produces even better results. Therefore, an automated approach is needed that explores all possible options in a structured manner to find the best one. To address this need this paper proposes three iterations of a search strategy for resource optimization that searches through the space of possible resource allocations to find the best one. The performance of the search strategy is evaluated theoretically with guided experiments. The experiments show that the proposed search strategies scale very well and obtain the optimal value in only a fraction of the number of steps needed by an exhaustive exploration of the solution space. In this manner, this paper also forms the basis for future research into resource optimization with extensions into multi-process optimization, advanced, and operational resource optimization.

Original language	English
Title of host publication	Proceedings - 2021 IEEE 25th International Enterprise Distributed Object Computing Conference, EDOC 2021
Publisher	Institute of Electrical and Electronics Engineers
Pages	104-113
Number of pages	10
ISBN (Electronic)	978-1-6654-3579-6
DOIs	https://doi.org/10.1109/EDOC52215.2021.00021
Publication status	Published - 1 Dec 2021
Event	25th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2021) - Gold Coast, Australia Duration: 25 Oct 2021 → 29 Oct 2021 Conference number: 25 https://ieee-edoc.org/2021/

Conference

Conference	25th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2021)
Abbreviated title	EDOC 2021
Country/Territory	Australia
City	Gold Coast
Period	25/10/21 → 29/10/21
Internet address	https://ieee-edoc.org/2021/

Funding

Acknowledgement. The research described in this paper is supported by the Dutch Organization for Scientific Research as part of the DATAS project with grant number 438-15-507.

Funders	Funder number
Nederlandse Organisatie voor Wetenschappelijk Onderzoek	438-15-507

Keywords

Business Process
Business Process Management
Resource Optimization

Access to Document

10.1109/EDOC52215.2021.00021

Cite this

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title = "Resource Optimization in Business Processes",

abstract = "Traditionally, the optimal resource allocation in a business process is determined by manually exploring a number of options, but whether this leads to the optimal solution is questionable; it is possible that an unexplored option produces even better results. Therefore, an automated approach is needed that explores all possible options in a structured manner to find the best one. To address this need this paper proposes three iterations of a search strategy for resource optimization that searches through the space of possible resource allocations to find the best one. The performance of the search strategy is evaluated theoretically with guided experiments. The experiments show that the proposed search strategies scale very well and obtain the optimal value in only a fraction of the number of steps needed by an exhaustive exploration of the solution space. In this manner, this paper also forms the basis for future research into resource optimization with extensions into multi-process optimization, advanced, and operational resource optimization.",

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author = "Peters, {Sander P.F.} and Dijkman, {Remco M.} and Grefen, {Paul W.P.J.}",

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booktitle = "Proceedings - 2021 IEEE 25th International Enterprise Distributed Object Computing Conference, EDOC 2021",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "25th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2021), EDOC 2021 ; Conference date: 25-10-2021 Through 29-10-2021",

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}

Peters, SPF, Dijkman, RM & Grefen, PWPJ 2021, Resource Optimization in Business Processes. in Proceedings - 2021 IEEE 25th International Enterprise Distributed Object Computing Conference, EDOC 2021., 9626180, Institute of Electrical and Electronics Engineers, pp. 104-113, 25th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2021), Gold Coast, Queensland, Australia, 25/10/21. https://doi.org/10.1109/EDOC52215.2021.00021

Resource Optimization in Business Processes. / Peters, Sander P.F.; Dijkman, Remco M.; Grefen, Paul W.P.J.
Proceedings - 2021 IEEE 25th International Enterprise Distributed Object Computing Conference, EDOC 2021. Institute of Electrical and Electronics Engineers, 2021. p. 104-113 9626180.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Peters, Sander P.F.

AU - Dijkman, Remco M.

AU - Grefen, Paul W.P.J.

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AB - Traditionally, the optimal resource allocation in a business process is determined by manually exploring a number of options, but whether this leads to the optimal solution is questionable; it is possible that an unexplored option produces even better results. Therefore, an automated approach is needed that explores all possible options in a structured manner to find the best one. To address this need this paper proposes three iterations of a search strategy for resource optimization that searches through the space of possible resource allocations to find the best one. The performance of the search strategy is evaluated theoretically with guided experiments. The experiments show that the proposed search strategies scale very well and obtain the optimal value in only a fraction of the number of steps needed by an exhaustive exploration of the solution space. In this manner, this paper also forms the basis for future research into resource optimization with extensions into multi-process optimization, advanced, and operational resource optimization.

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M3 - Conference contribution

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ER -

Resource Optimization in Business Processes

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Keywords

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