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28
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Introduction
Research interests in Multi-agent Systems, Supply Chain Logistics and Internet-of-Things.
Publications
Publications (28)
Information systems leave a traceable digital footprint whenever an action is executed. Business process modelers capture these digital traces to understand the behavior of a system, and to extract actual run-time models of those business processes. Despite the omnipresence of such traces, most organizations face substantial differences between the...
The sooner disruptive emergent behaviors are detected, the sooner preventive measures can be taken to ensure the resilience of business processes execution. Therefore, organizations need to prepare for emergent behaviors by embedding corrective control mechanisms, which help coordinate organization-wide behavior (and goals) with the behavior of loc...
Traditional modeling approaches, based on predefined business logic, offer little support for today's complex environments. In this paper, we propose a conceptual agent-based simulation framework to help not only discover complex business processes but also to analyze and learn from emergent behavior arising in cyber-physical systems. Techniques or...
Many researchers try to make a comparison between various Internet-of-Things (IoT) platforms based on specific requirements. However, none of the reviewed studies proposed a thorough analysis of the variety of comparative methods. Since there is a lack of comparison frameworks for IoT platforms, individuals or companies have difficulties when selec...
Technological advancements of emerging paradigms such as Internet of Things have enabled new modes of system design. The supply chain logistics domain can benefit significantly from advances in monitoring and detection of emergent behavior. This doctoral research aims to investigate how techniques and enterprise architectures can be used in order t...
This handbook is currently in development, with individual articles publishing online in advance of print publication. At this time, we cannot add information about unpublished articles in this handbook, however the table of contents will continue to grow as additional articles pass through the review process and are added to the site. Please note...
Healthcare processes frequently deviate from established treatment protocols due to unforeseen events and the complexities of illnesses. Many healthcare procedures do not account for variations in treatment paths across different diseases and patient subpopulations. Understanding the similarities and differences in treatment paths for different pat...
In the field of simulation, the key objective of a system designer is to develop a model that performs a specific task and accurately represents real-world systems or processes. A valid simulation model allows for a better understanding of the system’s behavior and improved decision-making in the real world. Face validity is a subjective measure th...
When designing simulations, the objective is to create a representation of a real-world system or process to understand, analyze, predict, or improve its behavior. Typically, the first step in assessing the credibility of a simulation model for its intended purpose involves conducting a face validity check. This entails a subjective assessment by i...
This poster features research related to process mining in logistics. It is part of the Conversation Pieces series created by researcher Sebastian Piest and cartoonist LUVANE, that focuses on applications and future directions of Intelligence Amplification (IA).
Process mining techniques use event logs to discover process models, check conformance, and aid business analysts in improving business processes. A proper interplay between the complexity of discovered process models and the expertise of human interpreters, such as stakeholders, domain experts, and process analysts, is key for the success of proce...
Bottlenecks arise in many processes, often negatively impacting performance. Process mining can facilitate bottleneck analysis, but research has primarily focused on bottleneck detection and resolution, with limited attention given to the prediction of bottlenecks and recommendations for improving process performance. As a result, operational suppo...
Decision support systems are becoming increasingly sophisticated (e.g., being machine learning-based), attempting to automate decisions as much as possible. However, it remains challenging to extract meaningful value from large quantities of data while also maintaining transparency in seeking justification for the choices made. Instead of creating...
Workarounds are deviations in the execution of designed, de jure, work processes. Process mining research has developed methods for unobtrusive workaround analysis using process-aware systems’ datasets. This study applies process mining for workaround analysis in a medium-sized enterprise (SME). SME contexts can be challenging for workaround mining...
Agent-based modeling is widely used for modeling and simulation of self-organizing sociotechnical systems that are composed of distributed autonomous agents. In these systems, macro level behaviors emerge from local micro level behaviors of agents that follow rules and interact with each other and the environment. Although the individual agents' be...
Process mining derives knowledge of the execution of processes through analyzing behavior as observed from real-life events. While benefits of process mining are widely acknowledged, finding an adequate level of detail at which a mined process model is suitable for a specific stakeholder is still an ongoing challenge. Process models can be mined at...
When aggregating logistic event data from different supply chain actors and information systems for process mining, interoperability, data loss, and data quality are common challenges. This position paper proposes and evaluates the use of the Open Trip Model (OTM) for process mining. Inspired by the current industrial use of the OTM for reporting a...
Processing IoT applications directly in the cloud may not be the most efficient solution for each IoT scenario, especially for time-sensitive applications. A promising alternative is to use fog and edge computing, which address the issue of managing the large data bandwidth needed by end devices. These paradigms impose to process the large amounts...
Followed by the introduction of IoT and new sustainable technologies, energy management, Quality of Service and decrease of communication costs become important and complex for enterprise systems at airports. The aviation au-thorities' reports reveal that the airport ICT investments are mainly focused on travel safety, mobile commerce, and new tech...
Poster presentation to introduce the paper Demonstrating the Architecture for Situation-Aware Logistics using Smart Returnable Assets.
Building on earlier work, this paper aims to demonstrate and discuss an instantiated architecture for situation-aware logistics in an operational environment using smart returnable assets. The demonstration is based on a motivation scenario focusing on exception management. The system outline and its components, interfaces, and enabling technologie...
This report concerns a white paper on the demonstration of practically-oriented guidelines for process mining users. The main target group of this document is novice process mining users (e.g., those who are willing to start using process mining). After proposing the guideline, we present a few exercise questions.
Condition monitoring is an essential capability in the transport of fresh, frozen and perishable food products to govern food safety, meet compliance requirements and reduce food waste in supply chains. Exceptions, disruptions and inappropriate handling of products produce risks that may affect the product quality and can lead to depreciation. Buil...