17 papers · ranked by Valyu relevance
Daniel Barón-Espitia, Marlon Dumas, Oscar González-Rojas, Muhammad Aleem
'Muhammad Aleem'] Business process simulation is an established approach to estimate the potential impact of hypothetical changes on a process, particularly in terms of time and cost-related performance measures. To overcome the complexity associated with manually specifying and fine-tuning simulation models…
Daniel Schuster, Elisabetta Benevento, Davide Aloini, Wil M. P. van der Aalst
'Wil M. P. van der Aalst'] Abstract Most process mining techniques are primarily automated, meaning that process analysts input information and receive output. As a result, process mining techniques function like black boxes with limited interaction options for analysts, such as simple sliders for filtering infrequent…
Maximilian Möller, Michael Winter, Manfred Reichert, Pietro Aricò
Process models constitute essential tools in business process management and software engineering for representing and managing real-world business processes. Hence, the proper comprehension of these models is crucial for enabling an effective and efficient communication among stakeholders. While several studies have…
Amaryllis Mavragani, Amy Bucher, Amenah Kanaan, Vesa Jormanainen + 3 more
'Jiri Berger' 'Jan Bruthans' 'Jiří Kofránek'] Background It is very difficult to find a consensus that will be accepted by most players when creating health care legislation. The Czech electronic prescription system was launched in 2011 and new functions were introduced in 2018. To ensure that these functions will not…
Johannes Gerritzen, Andreas Hornig, Maik Gude
Shorter development cycles, increasing complexity and cost pressure are driving the need for more efficient development processes. Especially in the field of material development, the long and costly experiments are a major bottleneck. To address this bottleneck, data-driven models supporting the decision making…
Julia Baß, Michael Winter, Rüdiger Pryss, Manfred Reichert + 1 more
'Daniele Corbo'] The study of complex process models often encounters challenges in terms of comprehensibility. This paper explores using modularization as a strategy to mitigate such challenges, notably the reduction in complexity. Previous research has delved into the comprehensibility of modularized process models…
Eran Agmon
Composition is a powerful principle for systems biology, focused on the interfaces, interconnections, and orchestration of distributed processes to enable integrative multiscale simulations. Whereas traditional models focus on the structure or dynamics of specific subsystems in controlled conditions, compositional…
A. Sonia Deshmukh, B. Shikha Gupta, C. Naveen Kumar
Process discovery approaches analyze the business data to automatically uncover structured information, known as a process model. The quality of a process model is measured using quality dimensions, completeness (replay fitness), preciseness, simplicity, and generalization. Traditional process discovery algorithms…
Amin Jalali, Paul Johannesson, Erik Perjons, Ylva Askfors + 3 more
'Abdolazim Rezaei Kalladj' 'Tero Shemeikka' 'Anikó Vég'] Background Data-driven process analysis is an important area that relies on software support. Process variant analysis is a sort of analysis technique in which analysts compare executed process variants, a.k.a. process cohorts. This comparison can help to…
Dominique Sommers, Natalia Sidorova, Boudewijn van Dongen
The assessment of process mining techniques using real-life data is often compromised by the lack of ground truth knowledge, the presence of non-essential outliers in system behavior and recording errors in event logs. Using synthetically generated data could leverage ground truth for better evaluation. Existing log…
Reema Choudhary, Nauman Riaz, Jacopo Soldani
Software reverse engineering and reengineering are becoming common in the field of games and website development. Simulation and modeling play an important role in understanding the flow of the overall system. Business process modeling notation (BPMN) is used to show the overall architecture of the business process.…
Tianhong Xiong, Maolin Pan, Yang Yu, Dingjun Lou
Crowdsourcing has become a new distributed paradigm, which uses online crowds to solve complex problems. Recently, in order to reduce the development workload and research threshold of crowdsourcing applications, crowdsourcing process modeling is attracting more and more attention. However, complex crowdsourcing…
Alexandros Bousdekis, Athanasios Kerasiotis, Silvester Kotsias, Georgia Theodoropoulou + 4 more
'Georgia Theodoropoulou' 'Georgios Miaoulis' 'Djamchid Ghazanfarpour' 'Alberto Cano' 'Sylvio Barbon Junior'] The analysis of business processes based on their observed behavior recorded in event logs can be performed with process mining. This method can discover, monitor, and improve processes in various application…
Abdel-Hamed Mohamed Rashed, Noha E. El-Attar, Diaa Salama Abdelminaam, Mohamed Abdelfatah + 1 more
Recently, The Egyptian health sector whether it is public or private; utilizes emerging technologies such as data mining, business intelligence, Internet of Things (IoT), among many others to enhance the service and to deal with increasing costs and growing pressures. However, process mining has not yet been used in…
Kaile Chen, Farhad Abtahi, Juan-Jesus Carrero, Carlos Fernandez-Llatas + 2 more
Process mining holds promise for analysing longitudinal data in clinical epidemiology, yet its application remains limited. The objective of this study was to propose and evaluate a methodology for applying process mining techniques in observational clinical epidemiology. We propose a methodology that integrates a…
Seyed Mahdi Javadi, Seyed Jafar Sadjadi, Ahmad Makui
In manufacturing systems, simulation modeling plays an important role in creating some changes instead of working on real systems. Manipulation in a real system is more costly than manipulation in a simulated model. In this research, we tried to use a simulation approach to recognize and minimize bottlenecks of a…
Anwar Rjoop, Shaima’ Elhaj, Dina Tbaishat, Yousra Odeh + 3 more
The design of this research adopts the Design Science Research Methodology process (DSRM) that aims to create artifacts to serve humanity through six phases: identifying problems, identifying solutions and objectives, designing and developing the artifact, demonstration, evaluating the artifact, and communicating the…