1,721,168 research outputs found
2nd International Workshop on the Role of Real-World Objects in Business Process Management Systems (RW-BPMS 2016)
No full textThe increased availability of sensors disseminated in the world has lead to the possibility to monitor in detail the evolution of several real-world objects of interest. GPS receivers, RFID chips, transponders, detectors, cameras, satellites, etc. concur in the depiction of the current status of monitored things. Therefore, the opportunity arose to connect physical reality to digital information. The screening of real- world objects makes indeed sensors the interface towards real- world information, as they are the originators of machine- readable events. The amount of information at hand would consent a fine-grained monitoring, mining, and decision support for business processes, stemming from the joint observation of business-related objects in real world. The aim of the 2nd Workshop on the Role of Real-World Objects in Business Process Management Systems (RW-BPMS) is to attract novel research investigating the connection of business processes with real-world objects monitoring. Conceptual, technical, and application-oriented contributions are pursued within the scope of this theme
1st International Workshop on the Role of Real-World Objects in Business Process Management Systems (RW-BPMS 2015)
No full textThe increased availability of sensors disseminated in the world has led to the possibility to monitor in detail the evolution of several real-world objects of interest. GPS receivers, RFID chips, transponders, detectors, cameras, satellites, etc. concur in the depiction of the current status of monitored things. Therefore, the opportunity arose to connect physical reality to digital information. The screening of real-world objects makes indeed sensors the interface toward real-world information, as they are the originators of machine-readable events. The exploitation of such knowledge is leading to successful applications such as Smart Cities, Flight Monitoring, Pollution Control, Internet of Things, and Dynamic Manufacturing Networks. The objective of the 1st Workshop on the Role of Real-World Objects in Business Process Management Systems (RW-BPMS 2015), organized in conjunction with the 27th Conference on Advanced Information Systems Engineering (CAiSE 2015), is to attract novel research and industry approaches investigating the connection of business processes with real-world objects. Conceptual, technical, and application- oriented contributions were pursued within the scope of this theme
Teaching Process Redesign with a Competition
No full textBusiness process redesign is an important part of Business Process Management. However, evaluating the impact of a process redesign in an educational setting poses challenges, because students do not get direct feedback on whether the redesigned process is better. Feedback received from the lecturers on that feels less realistic to them. To address this issue, we developed an assignment that enhances the learning experience by facilitating students in analyzing and redesigning a business process and immediately seeing the effect of their redesign on performance indicators. This paper presents the design and implementation of the assignment. The assignment focuses on the redesign of a business process with respect to operational decisions made in the process. It is presented to the students in the form of a competition to motivate them further. This year, the assignment focused on improving the treatment process of a fictitious hospital by optimizing decisions on patient admission and resource allocation. However, the assignment is developed in a general framework, which facilitates the development of new or modified assignments on a yearly basis. This year, the assignment has been used in courses at two different universities and is planned for further use at three other universities. The assignments that the students handed in showed good understanding by the students and showed that they made a real effort to solve the assignment well. Informal feedback from the students was also positive
Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning
Full text linkResource allocation refers to the assignment of resources to activities for their execution within a business process at runtime. While resource allocation approaches are common in industries such as manufacturing, directly applying them to business processes remains a challenge. Recently, techniques like Deep Reinforcement Learning (DRL) have been used to learn efficient resource allocation strategies to minimize the cycle time. While DRL has been proven to work well for simplified synthetic processes, its usefulness in real-world business processes remains untested, partly due to the challenging nature of realizing accurate simulation environments. To overcome this limitation, we propose DRLHSM that combines DRL with Hybrid simulation models (HSM). The HSM can accurately replicate the business process behavior so that we can assess the effectiveness of DRL in optimizing real-world business processes. We evaluate our method on four real-world and two elaborate synthetic business processes, constrained by temporal resource availability and a restricted number of resources. An empirical evaluation shows that DRLHSM outperforms the benchmarks by, on average, 45%, up to 307%, in 14 out of 24 considered evaluation scenarios and is competitive with the best-performing benchmark in 8 scenarios.</p
Alpha Precision: Estimating the Significant System Behavior in a Model
No full textOne of the goals of process discovery is to construct, from a given event log, a process model which correctly represents the underlying system. As with any abstraction, one does not necessarily want to represent all possible behavior, but only the significant behavior. While various discovery algorithms support this use case of discovering the significant process behavior, proper evaluation measures for this use case appear to be missing. Therefore, this paper presents a new precision metric that quantifies to what extent the discovered model contains significant system behavior. Besides being a metric with a clear and intuitive interpretation, the metric distinguishes itself in two other areas. Firstly, it introduces the concept of a-significance, which only measures precision with respect to significant behavior. Secondly, it is designed as a system measure and estimates the precision with respect to the underlying system rather than the observed log. This work introduces a new precision measure and a statistical estimation method. Additionally, an empirical demonstration and evaluation of the metric are provided, which creates initial insights and knowledge about the performance and characteristics of the new measure. The results show that the a-precision measure provides a solid foundation for future work on developing quality measures for this particular use case
Predictive Insights for Personalising Esophagogastric Cancer Treatment Process - A Case Study
Full text linkFor metastatic esophagogastric cancer (EGC), treatments aim to extend survival time, manage symptoms, and enhance the quality of life . However, determining the best treatments for patients with EGC is challenging due to patients’ variability. Personalised treatments supported by predictive models enable tailoring treatment process to individuals. Even so, traditional predictive models often neglect the interaction between treatments, limiting their utility in comprehensive planning. State-of-the-art Predictive Process Monitoring shows promising results in predicting the outcome of the treatment process but often lacks transparency. This paper investigates the potential of supporting healthcare experts in personalising the EGC treatment process, using eXplainable Predictive Process Monitoring methods. A real-world case study among 7,090 patients identifies expert needs for helpful explanations and discusses the capabilities and limitations of existing methods, suggesting future research directions. Our findings demonstrate high-quality explanations with strong fidelity, providing insights validated by expert knowledge. While the resulting explanations are not always actionable, experts acknowledged their value for exploratory analysis
Towards improving adaptability of capability driven development methodology in complex environment
No full textWe are triggered to incorporate adaptability in information system designs and methodologies corresponding to complex and unpredictable environment of today and tomorrow and to complex adaptive systems they are aimed for. Adaptability as non-functional requirement is being portrayed and investigated from broad multidisciplinary perspective that influences how dynamic business-IT alignment can be accomplished. Capability Driven Development methodology has supported delivering dynamic capabilities by providing context-aware self-adaptive platform in the CaaS project implementations, as our case study. Along with the already incorporated mechanisms, components that enable adaptability, there is open space for further evolutionary and deliberate change towards becoming truly appropriate methodology for dynamic reconfigurations of capabilities in organizations and business ecosystems that operate in complexity and uncertainty. The analysis and evaluation of adaptability of the CDD methodology through three dimensions (complexity of the external and internal environment, managerial profiling and artifact-integrated components) in this paper conclude with instigation of starting points towards achieving higher adaptability for complexity of the CDD methodology
- …
