[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126880-en":3,"doc-seo-126880-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},126880,1099523885336,"Violet","https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c",8,"Research & Report","TOWARDS AUTOMATED BUSINESS PROCESS REDESIGN IN RUNTIME USING GENERATIVE MACHINE LEARNING","Business process redesign (BPR) improves organizational processes, but traditional efforts are largely manual, costly, and time-intensive. Growing volumes of process data and advances in generative machine learning (GML) enable more automated approaches; however, existing methods typically operate offline on historical data samples. This research-in-progress paper argues for performing BPR in runtime by leveraging GML prediction capabilities to support proactive process improvement. Initial results present promising performance for the first online task: process model prediction using real-life event data.","See discussions, stats, and author profiles for this publication at: [https://www. researchgate. net/publication/379832210](https://www. researchgate. net/publication/379832210)  \nTOWARDS AUTOMATED BUSINESS PROCESS REDESIGN IN RUNTIME USING GENERATIVE MACHINE LEARNING  \nConference Paper · June 2024  \nCITATIONS 0  \nREADS 135  \n3 authors:  \nMaximilian Harl  \nETH Zurich  \n8 PUBLICATIONS 91 CITATIONS  \nSandra Zilker  \nFriedrich-Alexander-University of Erlangen-Nürnberg 29 PUBLICATIONS 250 CITATIONS  \nSven Weinzierl  \nFriedrich-Alexander-Universität of Erlangen-Nürnberg 41 PUBLICATIONS 418 CITATIONS  \nSEE PROFILE  \nAll content following this page was uploaded by Sven Weinzierl on 15 April 2024.  \nThe user has requested enhancement of the downloaded file.  \nTOWARDS AUTOMATED BUSINESS PROCESS REDESIGN IN RUNTIME USING GENERATIVE MACHINE LEARNING  \nShort Paper  \nMaximilian Harl, ETH Zurich, Zurich, Switzerland, [mharl01@student.ethz.ch](mharl01@student.ethz.ch)  \nSandra Zilker, TH Nürnberg, Nuremberg, Germany, [sandra.zilker@th-nuernberg.de](sandra.zilker@th-nuernberg.de)[ ](sandra.zilker@th-nuernberg.de)Sven Weinzierl, FAU Erlangen-Nürnberg, Nuremberg, Germany, [sven.weinzierl@fau.de](sven.weinzierl@fau.de)  \nAbstract  \nIn business process management, business process redesign (BPR) aims to improve business processes. In the past, BPR was mainly a manual task, with little computational power and typically high labor and time intensity. The increasing amount of stored process data and great advancements in generative machine learning (GML) and other analytical approaches have paved the way for automated BPR. However, existing BPR approaches are designed for offline applications and therefore restricted to computing historical data samples of business processes. In this paper, we argue performing BPR in runtime and leveraging prediction capabilities via GML achieves a higher degree of BPR automation, allowing organizations to improve their processes proactively. Accordingly, this research-in-progress paper outlinesa design-science research process for designing a GML-based technique for automated BPR in runtime.  \nIn our preliminary evaluation, we present promising results for the proposed technique’s first online task, namely process model prediction, based on real-life event data.  \nKeywords: Business process redesign, business process management, generative artificial intelligence.  \n1 Introduction  \nOrganizations operate in a volatile economic environment (Beverungen et al., 2021), characterized by political instability (e.g., Carmignani, 2003) or rising customer expectations (e.g., Kreuzer, Röglinger, and Rupprecht, 2020) . At the same time, business processes are the organizational backbone for value creation (Dumas et al., 2018) . Consequently, business processes need to be flexible and organizations are forced to steadily change their business processes to tackle influences emerging in the ever-changing environment (Beverungen et al., 2021) . Business process redesign (BPR) has been established in the domain of business process management (BPM) to improve business processes (Dumas et al., 2018) . While the general idea of BPM is to improve business processes incrementally and cyclically (van der Aalst, La Rosa, and Santoro, 2016), BPR is generally considered the most value-adding stage is BPM (e.g., Fehrer et al., 2022) . BPR aims to re-organize business processes to improve their performance. In doing so, it can considerably increase the time, cost, quality, or flexibility of business processes (Brand and Van der Kolk, 1995), and consequently revenue and customer satisfaction.  \nMost of the current BPR initiatives are still done completely manually. For example, idea generation techniques are commonly used for manual BPR (Gross et al., 2021) . As these approaches lack computational support and do not provide the possibility to automatically gain insights from process data (Dun et al., 2023), these BPR approaches are typically ","cbCaia6S4x58RwJr","https://ap.wps.com/l/cbCaia6S4x58RwJr","pdf",466809,1,9,"English","en",105,"# Introduction\n## Business process redesign and its value\n## Limitations of manual and existing automated BPR\n## Runtime-oriented view and related monitoring approaches\n# Preliminary evaluation\n## Process model prediction from real-life event data","[{\"question\":\"Why has business process redesign (BPR) historically been difficult to automate?\",\"answer\":\"Most BPR initiatives are performed manually and are labor- and time-intensive. Existing automated approaches often lack computational support for insights and operate mainly on historical offline data samples.\"},{\"question\":\"What is the key argument of this research-in-progress paper?\",\"answer\":\"Automated BPR should be performed in runtime by leveraging generative machine learning to achieve higher automation and enable proactive process improvement.\"},{\"question\":\"What preliminary results are reported for the proposed technique?\",\"answer\":\"The paper reports promising results for its first online task: process model prediction using real-life event data.\"}]","TOWARDS AUTOMATED BUSINESS PROCESS REDESIGN IN RUNTIME USING GENERATIVE MACHINE LEARNING | PDF",1785935383,23,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"towards-automated-business-process-redesign-in-runtime-using-generative-machine-learning","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/towards-automated-business-process-redesign-in-runtime-using-generative-machine-learning/126880/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why has business process redesign (BPR) historically been difficult to automate?","Question",{"text":75,"@type":76},"Most BPR initiatives are performed manually and are labor- and time-intensive. Existing automated approaches often lack computational support for insights and operate mainly on historical offline data samples.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What is the key argument of this research-in-progress paper?",{"text":80,"@type":76},"Automated BPR should be performed in runtime by leveraging generative machine learning to achieve higher automation and enable proactive process improvement.",{"name":82,"@type":73,"acceptedAnswer":83},"What preliminary results are reported for the proposed technique?",{"text":84,"@type":76},"The paper reports promising results for its first online task: process model prediction using real-life event data.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]