Digital Twins of Business Processes: A Research Manifesto

被引:0
|
作者
Fornari, Fabrizio [1 ]
Compagnucci, Ivan [2 ]
De Donato, Massimo Callisto [1 ]
Bertrand, Yannis [10 ]
Beyel, Harry H. [6 ]
Carrion, Emilio [7 ,8 ]
Franceschetti, Marco [3 ]
Groher, Wolfgang [16 ]
Grueger, Joscha [13 ,14 ]
Kilic, Emre [9 ]
Koschmider, Agnes [4 ]
Leotta, Francesco [11 ]
Li, Chiao-Yun [5 ,6 ]
Lugaresi, Giovani [12 ]
Malburg, Lukas [13 ,14 ]
Mangler, Juergen [15 ]
Mecella, Massimo [11 ]
Pastor, Oscar [8 ]
Riss, Uwe [16 ]
Seiger, Ronny [3 ]
Serral, Estefania [10 ]
Torres, Victoria [8 ]
Valderas, Pedro [8 ]
机构
[1] Univ Camerino, Sch Sci & Technol, Comp Sci Div, Via Madonna Carceri 7, I-62032 Camerino, Italy
[2] Gran Sasso Sci Inst, Comp Sci Dept, Viale Francesco Crispi 7, I-67100 Laquila, Italy
[3] Univ St Gallen, Inst Comp Sci, Rosenbergstr 30, CH-9000 St Gallen, Switzerland
[4] Univ Bayreuth, Business Informat & Proc Analyt, Wittelsbacherring 8, D-95444 Bayreuth, Germany
[5] Fraunhofer Inst Appl Informat Technol, D-53757 St Augustin, Germany
[6] Rhein Westfal TH Aachen, Proc & Data Sci PADS, Ahornstr 55, D-52074 Aachen, Germany
[7] Mercadona Tech, Plaza Amer 2, Valencia 46004, Spain
[8] Univ Politecn Valencia, VRAIN Inst, PROS Res Ctr, Camino Vera, Valencia 46022, Spain
[9] TU Dortmund Univ, Leonhard Euler Str 5, D-44227 Dortmund, Germany
[10] Katholieke Univ Leuven, Res Ctr Informat Syst Engn LIRIS, Warmoesberg 26, B-1000 Brussels, Belgium
[11] Sapienza Univ Roma, DIAG, Via Ariosto 25, I-00185 Rome, Italy
[12] Katholieke Univ Leuven, Fac Engn Technol, Celestijnenlaan 300, B-3001 Heverlee, Belgium
[13] Branch Trier Univ, German Res Ctr Artificial Intelligence DFKI, Behringstr 21, D-54296 Trier, Germany
[14] Trier Univ, Artificial Intelligence & Intelligent Informat Sys, Univ Ring 15, D-54296 Trier, Germany
[15] TUM Sch Computat Informat & Technol, Boltzmannstr 3, D-85748 Garching, Germany
[16] OST Eastern Switzerland Univ Appl Sci, Rosenbergstr 59, CH-9001 St Gallen, Switzerland
关键词
Digital Twin; Business process; Internet of Things; CHALLENGES;
D O I
10.1016/j.iot.2024.101477
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Modern organizations necessitate continuous business processes improvement to maintain efficiency, adaptability, and competitiveness. In the last few years, the Internet of Things, via the deployment of sensors and actuators, has heavily been adopted in organizational and industrial settings to monitor and automatize physical processes influencing and enhancing how people and organizations work. Such advancements are now pushed forward by the rise of the Digital Twin paradigm applied to organizational processes. Advanced ways of managing and maintaining business processes come within reach as there is a Digital Twin of a business process- a virtual replica with real-time capabilities of a real process occurring in an organization. Combining business process models with real-time data and simulation capabilities promises to provide a new way to guide day-to-day organization activities. However, integrating Digital Twins and business processes is a non-trivial task, presenting numerous challenges and ambiguities. This manifesto paper aims to contribute to the current state of the art by clarifying the relationship between business processes and Digital Twins, identifying ongoing research and open challenges, thereby shedding light on and driving future exploration of this innovative interplay.
引用
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页数:14
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