@inproceedings{Malburg_AdaptiveWorkflowManagement_2022,
	title        = {{Towards Adaptive Workflow Management by Case-Based Reasoning and Automated Planning}},
	author       = {Malburg, Lukas and Bergmann, Ralph},
	year         = 2022,
	booktitle    = {{Workshops Proceedings for the Thirtieth International Conference on Case-Based Reasoning co-located with the Thirtieth International Conference on Case-Based Reasoning {(ICCBR} 2022), Nancy, France, September 12-15, 2022}},
	publisher    = {CEUR-WS.org},
	volume       = {3389},
	pages        = {211--220},
	series       = {{CEUR} Workshop Proceedings},
	editor       = {Pascal Reuss and Jakob Schönborn},
	url          = {http://www.wi2.uni-trier.de/shared/publications/2023_Malburg_ICCBR.pdf},
	keywords     = {{Case-Based Reasoning, Automated Planning, Industry 4.0, Adaptive Workflow Management, Cyber-Physical Workflows}},
	abstract     = {Adaptive workflow management is an important topic in recent years, as increasing dynamics due to growing customer demands and faster changing market conditions require more flexibility in workflows. This is especially the case for rigid and rather standardized production processes that cannot be easily modified, if, for example, a breakdown occurs in one of the production lines. The goal of the Fourth Industrial Revolution (Industry 4.0), is to provide, among others, more flexible and cost-effective processes in companies by using Artificial Intelligence (AI) methods. In this paper, we present 1) a framework for adaptive workflow management for IoT-enhanced manufacturing processes and 2) an idea for a new adaptation method that combines Case-Based Reasoning (CBR) and automated planning. In this context, we discuss the benefits of such a synergistic combination and introduce the framework and the individual phases according to the 4R (Retrieve, Reuse, Revise, Retain) CBR cycle. In addition, we present our physical factory simulation model that can be used to evaluate the suitability of developed research artifacts.}
}

{"_id":"SthkKeo5SZ7hCpZqw","bibbaseid":"malburg-bergmann-towardsadaptiveworkflowmanagementbycasebasedreasoningandautomatedplanning-2022","author_short":["Malburg, L.","Bergmann, R."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","title":"Towards Adaptive Workflow Management by Case-Based Reasoning and Automated Planning","author":[{"propositions":[],"lastnames":["Malburg"],"firstnames":["Lukas"],"suffixes":[]},{"propositions":[],"lastnames":["Bergmann"],"firstnames":["Ralph"],"suffixes":[]}],"year":"2022","booktitle":"Workshops Proceedings for the Thirtieth International Conference on Case-Based Reasoning co-located with the Thirtieth International Conference on Case-Based Reasoning (ICCBR 2022), Nancy, France, September 12-15, 2022","publisher":"CEUR-WS.org","volume":"3389","pages":"211–220","series":"CEUR Workshop Proceedings","editor":[{"firstnames":["Pascal"],"propositions":[],"lastnames":["Reuss"],"suffixes":[]},{"firstnames":["Jakob"],"propositions":[],"lastnames":["Schönborn"],"suffixes":[]}],"url":"http://www.wi2.uni-trier.de/shared/publications/2023_Malburg_ICCBR.pdf","keywords":"Case-Based Reasoning, Automated Planning, Industry 4.0, Adaptive Workflow Management, Cyber-Physical Workflows","abstract":"Adaptive workflow management is an important topic in recent years, as increasing dynamics due to growing customer demands and faster changing market conditions require more flexibility in workflows. This is especially the case for rigid and rather standardized production processes that cannot be easily modified, if, for example, a breakdown occurs in one of the production lines. The goal of the Fourth Industrial Revolution (Industry 4.0), is to provide, among others, more flexible and cost-effective processes in companies by using Artificial Intelligence (AI) methods. In this paper, we present 1) a framework for adaptive workflow management for IoT-enhanced manufacturing processes and 2) an idea for a new adaptation method that combines Case-Based Reasoning (CBR) and automated planning. In this context, we discuss the benefits of such a synergistic combination and introduce the framework and the individual phases according to the 4R (Retrieve, Reuse, Revise, Retain) CBR cycle. In addition, we present our physical factory simulation model that can be used to evaluate the suitability of developed research artifacts.","bibtex":"@inproceedings{Malburg_AdaptiveWorkflowManagement_2022,\n\ttitle = {{Towards Adaptive Workflow Management by Case-Based Reasoning and Automated Planning}},\n\tauthor = {Malburg, Lukas and Bergmann, Ralph},\n\tyear = 2022,\n\tbooktitle = {{Workshops Proceedings for the Thirtieth International Conference on Case-Based Reasoning co-located with the Thirtieth International Conference on Case-Based Reasoning {(ICCBR} 2022), Nancy, France, September 12-15, 2022}},\n\tpublisher = {CEUR-WS.org},\n\tvolume = {3389},\n\tpages = {211--220},\n\tseries = {{CEUR} Workshop Proceedings},\n\teditor = {Pascal Reuss and Jakob Schönborn},\n\turl = {http://www.wi2.uni-trier.de/shared/publications/2023_Malburg_ICCBR.pdf},\n\tkeywords = {{Case-Based Reasoning, Automated Planning, Industry 4.0, Adaptive Workflow Management, Cyber-Physical Workflows}},\n\tabstract = {Adaptive workflow management is an important topic in recent years, as increasing dynamics due to growing customer demands and faster changing market conditions require more flexibility in workflows. This is especially the case for rigid and rather standardized production processes that cannot be easily modified, if, for example, a breakdown occurs in one of the production lines. The goal of the Fourth Industrial Revolution (Industry 4.0), is to provide, among others, more flexible and cost-effective processes in companies by using Artificial Intelligence (AI) methods. In this paper, we present 1) a framework for adaptive workflow management for IoT-enhanced manufacturing processes and 2) an idea for a new adaptation method that combines Case-Based Reasoning (CBR) and automated planning. In this context, we discuss the benefits of such a synergistic combination and introduce the framework and the individual phases according to the 4R (Retrieve, Reuse, Revise, Retain) CBR cycle. In addition, we present our physical factory simulation model that can be used to evaluate the suitability of developed research artifacts.}\n}\n","author_short":["Malburg, L.","Bergmann, R."],"editor_short":["Reuss, P.","Schönborn, J."],"key":"Malburg_AdaptiveWorkflowManagement_2022","id":"Malburg_AdaptiveWorkflowManagement_2022","bibbaseid":"malburg-bergmann-towardsadaptiveworkflowmanagementbycasebasedreasoningandautomatedplanning-2022","role":"author","urls":{"Paper":"http://www.wi2.uni-trier.de/shared/publications/2023_Malburg_ICCBR.pdf"},"keyword":["Case-Based Reasoning","Automated Planning","Industry 4.0","Adaptive Workflow Management","Cyber-Physical Workflows"],"metadata":{"authorlinks":{}},"downloads":9},"bibtype":"inproceedings","biburl":"https://web.wi2.uni-trier.de/publications/WI2Publikationen.bib","dataSources":["vtdjwAo6eNiqRLfnG","CnwPa99ZchEF4SZgh","nZxfXH3fRFhwWejKL","MSp3DzP4ToPojqkFy","Td7BJ334QwxWK4vLW","J3orK6zvpR7d8vDmC"],"keywords":["case-based reasoning","automated planning","industry 4.0","adaptive workflow management","cyber-physical workflows"],"search_terms":["towards","adaptive","workflow","management","case","based","reasoning","automated","planning","malburg","bergmann"],"title":"Towards Adaptive Workflow Management by Case-Based Reasoning and Automated Planning","year":2022,"downloads":9}