International Conference on Business Process Management最新文献

The Interplay Between High-Level Problems and the Process Instances that Give Rise to Them 高级问题与产生这些问题的流程实例之间的相互作用

International Conference on Business Process Management Pub Date : 2023-09-04 DOI: 10.1007/978-3-031-41623-1_9

Bianka Bakullari, Jules van Thoor, Dirk Fahland, Wil M.P. van der Aalst

引用次数: 0

Interactive Multi Interest Process Pattern Discovery 交互式多兴趣过程模式发现

International Conference on Business Process Management Pub Date : 2023-08-28 DOI: 10.48550/arXiv.2308.14475

Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Rob Verhoeven, H. Laarhoven, R. Dijkman

引用次数: 0

The Impact of Process Complexity on Process Performance: A Study using Event Log Data 过程复杂性对过程性能的影响:基于事件日志数据的研究

International Conference on Business Process Management Pub Date : 2023-07-11 DOI: 10.48550/arXiv.2307.06106

Maxim Vidgof, Bastian Wurm, J. Mendling

引用次数: 0

Action-Evolution Petri Nets: a Framework for Modeling and Solving Dynamic Task Assignment Problems 动作演化Petri网:建模与解决动态任务分配问题的框架

International Conference on Business Process Management Pub Date : 2023-06-05 DOI: 10.48550/arXiv.2306.02910

R. Bianco, R. Dijkman, Wim P. M. Nuijten, W. Jaarsveld

{"title":"Action-Evolution Petri Nets: a Framework for Modeling and Solving Dynamic Task Assignment Problems","authors":"R. Bianco, R. Dijkman, Wim P. M. Nuijten, W. Jaarsveld","doi":"10.48550/arXiv.2306.02910","DOIUrl":"https://doi.org/10.48550/arXiv.2306.02910","url":null,"abstract":"Dynamic task assignment involves assigning arriving tasks to a limited number of resources in order to minimize the overall cost of the assignments. To achieve optimal task assignment, it is necessary to model the assignment problem first. While there exist separate formalisms, specifically Markov Decision Processes and (Colored) Petri Nets, to model, execute, and solve different aspects of the problem, there is no integrated modeling technique. To address this gap, this paper proposes Action-Evolution Petri Nets (A-E PN) as a framework for modeling and solving dynamic task assignment problems. A-E PN provides a unified modeling technique that can represent all elements of dynamic task assignment problems. Moreover, A-E PN models are executable, which means they can be used to learn close-to-optimal assignment policies through Reinforcement Learning (RL) without additional modeling effort. To evaluate the framework, we define a taxonomy of archetypical assignment problems. We show for three cases that A-E PN can be used to learn close-to-optimal assignment policies. Our results suggest that A-E PN can be used to model and solve a broad range of dynamic task assignment problems.","PeriodicalId":143924,"journal":{"name":"International Conference on Business Process Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124528129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Large Language Models for Business Process Management: Opportunities and Challenges 面向业务流程管理的大型语言模型:机遇与挑战

International Conference on Business Process Management Pub Date : 2023-04-09 DOI: 10.48550/arXiv.2304.04309

Maxim Vidgof, Stefan Bachhofner, J. Mendling

引用次数: 8

Process Channels: A New Layer for Process Enactment Based on Blockchain State Channels 流程通道:基于区块链状态通道的流程制定新层

International Conference on Business Process Management Pub Date : 2023-04-03 DOI: 10.48550/arXiv.2304.01107

Fabian Stiehle, I. Weber

{"title":"Process Channels: A New Layer for Process Enactment Based on Blockchain State Channels","authors":"Fabian Stiehle, I. Weber","doi":"10.48550/arXiv.2304.01107","DOIUrl":"https://doi.org/10.48550/arXiv.2304.01107","url":null,"abstract":"For the enactment of inter-organizational processes, blockchain can guarantee the enforcement of process models and the integrity of execution traces. However, existing solutions come with downsides regarding throughput scalability, latency, and suboptimal tradeoffs between confidentiality and transparency. To address these issues, we propose to change the foundation of blockchain-based process enactment: from on-chain smart contracts to state channels, an overlay network on top of a blockchain. State channels allow conducting most transactions off-chain while mostly retaining the core security properties offered by blockchain. Our proposal, process channels, is a model-driven approach to enacting processes on state channels, with the aim to retain the desired blockchain properties while reducing the on-chain footprint as much as possible. We here focus on the principled approach of state channels as a platform, to enable manifold future optimizations in various directions, like latency and confidentiality. We implement our approach prototypical and evaluate it both qualitatively (w.r.t. assumptions and guarantees) and quantitatively (w.r.t. correctness and gas cost). In short, while the initial deployment effort is higher with state channels, it typically pays off after a few process instances; and as long as the new assumptions hold, so do the guarantees.","PeriodicalId":143924,"journal":{"name":"International Conference on Business Process Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116190446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Agent Miner: An Algorithm for Discovering Agent Systems from Event Data Agent Miner:一种从事件数据中发现Agent系统的算法

International Conference on Business Process Management Pub Date : 2022-12-02 DOI: 10.48550/arXiv.2212.01454

A. Tour, Artem Polyvyanyy, A. Kalenkova, Arik Senderovich

引用次数: 17

Business Process Simulation with Differentiated Resources: Does it Make a Difference? 具有差异化资源的业务流程模拟:会产生影响吗?

International Conference on Business Process Management Pub Date : 2022-08-16 DOI: 10.48550/arXiv.2208.07928

Orlenys López-Pintado, M. Dumas

引用次数: 4

Fine-grained Data Access Control for Collaborative Process Execution on Blockchain 区块链上协同过程执行的细粒度数据访问控制

International Conference on Business Process Management Pub Date : 2022-07-18 DOI: 10.48550/arXiv.2207.08484

Edoardo Marangone, Claudio Di Ciccio, I. Weber

{"title":"Fine-grained Data Access Control for Collaborative Process Execution on Blockchain","authors":"Edoardo Marangone, Claudio Di Ciccio, I. Weber","doi":"10.48550/arXiv.2207.08484","DOIUrl":"https://doi.org/10.48550/arXiv.2207.08484","url":null,"abstract":"Multi-party business processes are based on the cooperation of different actors in a distributed setting. Blockchains can provide support for the automation of such processes, even in conditions of partial trust among the participants. On-chain data are stored in all replicas of the ledger and therefore accessible to all nodes that are in the network. Although this fosters traceability, integrity, and persistence, it undermines the adoption of public blockchains for process automation since it conflicts with typical confidentiality requirements in enterprise settings. In this paper, we propose a novel approach and software architecture that allow for fine-grained access control over process data on the level of parts of messages. In our approach, encrypted data are stored in a distributed space linked to the blockchain system backing the process execution; data owners specify access policies to control which users can read which parts of the information. To achieve the desired properties, we utilise Attribute-Based Encryption for the storage of data, and smart contracts for access control, integrity, and linking to process data. We implemented the approach in a proof-of-concept and conduct a case study in supply-chain management. From the experiments, we find our architecture to be robust while still keeping execution costs reasonably low.","PeriodicalId":143924,"journal":{"name":"International Conference on Business Process Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123968783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

When to intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints 何时干预?不确定性和资源约束下的规定性过程监控

International Conference on Business Process Management Pub Date : 2022-06-15 DOI: 10.48550/arXiv.2206.07745

M. Shoush, M. Dumas

{"title":"When to intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints","authors":"M. Shoush, M. Dumas","doi":"10.48550/arXiv.2206.07745","DOIUrl":"https://doi.org/10.48550/arXiv.2206.07745","url":null,"abstract":". Prescriptive process monitoring approaches leverage histori-cal data to prescribe runtime interventions that will likely prevent negative case outcomes or improve a process’s performance. A centerpiece of a prescriptive process monitoring method is its intervention policy: a decision function determining if and when to trigger an intervention on an ongoing case. Previous proposals in this ﬁeld rely on intervention policies that consider only the current state of a given case. These approaches do not consider the tradeoﬀ between triggering an intervention in the current state, given the level of uncertainty of the underlying predictive models, versus delaying the intervention to a later state. Moreover, they assume that a resource is always available to perform an intervention (inﬁnite capacity). This paper addresses these gaps by introducing a prescriptive process monitoring method that ﬁlters and ranks ongoing cases based on prediction scores, prediction uncertainty, and causal ef-fect of the intervention, and triggers interventions to maximize a gain function, considering the available resources. The proposal is evaluated using a real-life event log. The results show that the proposed method outperforms existing baselines regarding total gain.","PeriodicalId":143924,"journal":{"name":"International Conference on Business Process Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123321618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8