Socially-aware business process redesign

Arik Senderovich*, Joop J. Schippers, Hajo A. Reijers

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Existing techniques for the redesign of business processes are mostly concerned with optimizing efficiency and productivity, but do not take social considerations into account. In this paper, we represent social business process redesign (SBPR) as a constrained optimization problem (COP). Assuming a workforce of human and computer resources, SBPR considers two types of decisions: (1) how to allocate tasks among this workforce and (2) which skills it should acquire. The latter decision can be used to control for the amount of automation (by setting an upper bound), which may ensure, for example, that disadvantaged workers are included. We discuss scenarios inspired by real-world considerations where the COP representation of SBPR can be used as a decision support tool. Furthermore, we present an extensive computational analysis that demonstrates the applicability of our COP-based solution to large SBPR instances, as well as a detailed analysis of the factors that influence the performance of the approach. Our work shows that it is feasible to incorporate multiple considerations into redesign decision making, while providing meaningful insights into the trade-offs involved.

Original languageEnglish
Title of host publicationBusiness Process Management - 18th International Conference, BPM 2020, Proceedings
EditorsDirk Fahland, Chiara Ghidini, Jörg Becker, Marlon Dumas
PublisherSpringer
Pages75-92
Number of pages18
ISBN (Print)9783030586652
DOIs
Publication statusPublished - 2020
Event18th International Conference on Business Process Management, BPM 2020 - Seville, Spain
Duration: 13 Sept 202018 Sept 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12168 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Business Process Management, BPM 2020
Country/TerritorySpain
CitySeville
Period13/09/2018/09/20

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