Virtual Reality (VR) environments are used as a way to let humans experiment with algorithms, techniques, and situations in various application areas, including emergency management, serious games, smart manufacturing, and precision agriculture. They are especially relevant when experiments in the...
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Recent years have witnessed an ever-growing use of Large Language Models (LLMs) to lower the technical barrier for several tasks, ranging from coding to querying relational databases to composing services. In this work, we focus on using LLMs to simplify access to data in the industrial scenario,...
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Scheduling jobs with given processing times on identical parallel machines so as to minimize their total completion time is one of the most basic scheduling problems. We study interesting generalizations of this classical problem involving scenarios. In our model, a scenario is defined as a subset...
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AI-augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems empowered by AI technology for autonomously unfolding and adapting the execution flow of business processes (BPs). A central characteristic of an ABPMS is the ability to be...
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In the scope of Industry 4.0, this paper showcases the design and implementation of a context-aware decision-making framework that simulates the production planning of manufacturing activities by incorporating techniques from Process Mining, Business Process Simulation, and Visual Analytics. The...
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AI-Augmented Business Process Management Systems (ABPMSs) are innovative information systems with increased flexibility, autonomy, and conversational capability. These systems can be boosted by Large Language Models (LLMs), renowned for their ability to handle natural language processing tasks....
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Robotic Process Automation (RPA) is a maturing technology that sits between the fields of Business Process Management (BPM) and Artificial Intelligence (AI). RPA allows organizations to automate high-volume and repetitive tasks performed by human operators. These tasks are enacted using a software...
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This paper presents an end-to-end execution of a real-world business process (BP) in the logistics domain to illustrate how an AI-Augmented Business Process Management System (ABPMS) can increase BP automation compared to a traditional BPMS. In addition, we discuss concrete AI-based solutions for...
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In process mining, declarative process discovery aims to extract declarative process models from event logs. Declare is a declarative process modeling language that provides an extensible set of standard templates for modeling declarative processes imposing temporal constraints on the sequence of...
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This paper presents DIS-PIPE, a software tool that leverages well-established process mining techniques to tackle the Data Pipeline Discovery (DPD) task. Data pipelines are composite steps that move data from disparate sources to some data consumers. While data travels through the pipeline, it can...