Search Results - subject:"Process monitoring"

Robust solutions via optimisation and predictive process monitoring for the scheduling of the interventional radiology procedures

Di Cunzolo, Matteo; Ronzani, Massimiliano; Aringhieri, … - In: International transactions in operational research : a … 32 (2025) 4, pp. 2189-2214

Persistent link: https://www.econbiz.de/10015338346

The effect of process monitoring on beyond-the-job process improvements

Schedlinsky, Ivo; Schmidt, Maximilian; Sommer, Friedrich; … - In: Contemporary accounting research : the journal of the … 42 (2025) 2, pp. 866-889

Persistent link: https://www.econbiz.de/10015463643

Predicting schedule adherence of engineering changes : a case study on effectivity date adherence prediction using machine learning

Radisic-Aberger, Ognjen; Burggräf, Peter; Steinberg, Fabian - In: International journal of production research 63 (2025) 11, pp. 3913-3937

Persistent link: https://www.econbiz.de/10015445280

Learning from the data to predict the process : generalization capabilities of next activity prediction algorithms

Pfeiffer, Peter; Abb, Luka; Fettke, Peter; Rehse, … - In: Business & information systems engineering 67 (2025) 3, pp. 357-383

Persistent link: https://www.econbiz.de/10015470801

Explaining transformer-based next activity prediction by using attention scores

Käppel, Martin; Ackermann, Lars; Jablonski, Stefan; … - In: Process Science 2 (2025) 1

Predictive business process monitoring aims to enhance process execution by providing real-time predictions about the …

Persistent link: https://www.econbiz.de/10015439272

The effect of process monitoring on beyond‐the‐job process improvements

Schedlinsky, Ivo; Schmidt, Maximilian; Sommer, Friedrich; … - In: Contemporary Accounting Research 42 (2025) 2, pp. 866-889

present the results of an experiment examining the effect of process monitoring on process improvements by employees. Although … show that process monitoring can have a positive effect on employees' implementation of process improvements in the absence …

Persistent link: https://www.econbiz.de/10015441160

Learning from the Data to Predict the Process

Pfeiffer, Peter; Abb, Luka; Fettke, Peter; Rehse, … - In: Business & Information Systems Engineering 67 (2025) 3, pp. 357-383

Predictive process monitoring (PPM) aims to forecast how a running process instance will unfold in the future, e …

Persistent link: https://www.econbiz.de/10015506605

Evaluating early predictive performance of machine learning approaches for engineering change schedule : a case study using predictive process monitoring techniques

Radišić-Aberger, Ognjen; Burggräf, Peter; Steinberg, … - In: Supply chain analytics 8 (2024), pp. 1-35

By applying machine learning algorithms, predictive business process monitoring (PBPM) techniques provide an …

Persistent link: https://www.econbiz.de/10015325099

Watt's next? : leveraging process flexibility for power cost optimization

Rusche, Simon; Moder, Linda; Weibelzahl, Martin - In: Business & information systems engineering 66 (2024) 5, pp. 541-563

Persistent link: https://www.econbiz.de/10015077900

Watt’s Next? Leveraging Process Flexibility for Power Cost Optimization

Hermann, Julia; Rusche, Simon; Moder, Linda; … - In: Business & Information Systems Engineering 66 (2024) 5, pp. 541-563

a prescriptive process monitoring approach that uses linear programming to generate recommendations for pending process … design knowledge at the interface of prescriptive process monitoring and the energy domain providing decision support to …

Persistent link: https://www.econbiz.de/10015376530

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