Process Management in IoT Operating Systems: Cross-Influence between Processing and Communication Tasks in End-Devices [PDF]
Sensors, 2019 The emergence and spread of Internet of Things (IoT) technologies along with the edge computing paradigm has led to an increase in the computational load on sensor end-devices.
Roberto Rodriguez-Zurrunero +3 more
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Large Language Models can accomplish Business Process Management Tasks [PDF]
Business Process Management Workshops, 2023 Business Process Management (BPM) aims to improve organizational activities and their outcomes by managing the underlying processes. To achieve this, it is often necessary to consider information from various sources, including unstructured textual ...
Michael Grohs +3 more
semanticscholar +1 more source
Large Language Models for Business Process Management: Opportunities and Challenges [PDF]
International Conference on Business Process Management, 2023 Large language models are deep learning models with a large number of parameters. The models made noticeable progress on a large number of tasks, and as a consequence allowing them to serve as valuable and versatile tools for a diverse range of ...
Maxim Vidgof +2 more
semanticscholar +1 more source
AI-augmented Business Process Management Systems: A Research Manifesto [PDF]
ACM Transactions on Management Information Systems, 2022 AI-augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by trustworthy AI technology.
M. Dumas +13 more
semanticscholar +1 more source
Development of a Novel Production Model for Labour Productivity: Modular Construction Toolkit Design
Buildings, 2023 The building industry faces a number of prominent challenges in the coming period. In this article, we focus on productivity in construction, which lags behind other industries despite technological developments.
Mark Geiger, Daniel Hock, Konrad Nübel
doaj +1 more source
Exogenous Shocks and Business Process Management
Business & Information Systems Engineering, 2022 Business process management (BPM) drives corporate success through effective and efficient processes. In recent decades, knowledge has been accumulated regarding the identification, discovery, analysis, design, implementation, and monitoring of business ...
Maximilian Röglinger +12 more
semanticscholar +1 more source
Food Demand Prediction Using the Nonlinear Autoregressive Exogenous Neural Network
IEEE Access, 2021 Food demand prediction is a significant issue for both business process improvement and sustainable development. Data science methods, including artificial intelligence methods, are often used for this purpose.
Krzysztof Lutoslawski +5 more
doaj +1 more source
Linear and nonlinear shelf space allocation problems with vertical and horizontal bands
Journal of Economics and Management, 2022 Aim/purpose – Shelf space is one of the most important tools for attracting customers’ attention in a retail store. This paper aims to develop a practical shelf space allocation model with visible vertical and horizontal categories.
Czerniachowska Kateryna +2 more
doaj +1 more source
Study of Fine Management Mode on Improving Potential Benefits of Measures [PDF]
E3S Web of Conferences, 2022 The oil field has entered the extra high water cut period, the oil well fracturing and oil increment have made great contributions to the fine tapping potential of water flooding. At the same time, the oil well fracturing and oil increment production has
Shan Yinfeng
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ÜRETİM SİSTEMLERİNDEKİ DİJİTAL DÖNÜŞÜMÜN İŞ ETÜDÜ TEKNİKLERİ ÜZERİNDEKİ ETKİSİ
Verimlilik Dergisi, 2022 Amaç: Endüstri 4.0 ile hızlı bir dijitalleşme süreci emek yoğun işletmeler le birlikte tüm işletmeler için kaçınılmaz olmuştur. Öte yandan geleneksel iş etüdü teknikleri verimlilik ölçüm ve izlemede oldukça kritik bir role sahiptir. Bu çalışmada iş etüdü
Aylin Adem +3 more
doaj +1 more source