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We propose a financial liquidity policy sharing method for firm-to-firm supply networks, introducing a scalable autonomous control function for viable complex adaptive supply networks. Cooperation and competition in supply chains is…

Physics and Society · Physics 2026-01-21 Yaniv Proselkov , Liming Xu , Alexandra Brintrup

We examine the feasibility of predicting and subsequently managing the future evolution of a Complex Adaptive System. Our archetypal system mimics a competitive population of mechanical, biological, informational or human objects. We show…

Disordered Systems and Neural Networks · Physics 2007-05-23 David M. D. Smith , Neil F. Johnson

With increasing linkage within value chains, the IT systems of different companies are also being connected with each other. This enables the integration of services within the movement of Industry 4.0 in order to improve the quality and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-08-31 Erik Heiland , Peter Hillmann , Andreas Karcher

Like conventional software projects, projects in model-driven software engineering require adequate management of multiple versions of development artifacts, importantly allowing living with temporary inconsistencies. In previous work,…

Software Engineering · Computer Science 2023-07-10 Matthias Barkowsky , Holger Giese

Purpose: Continuous Software Engineering (CSE) promises improved efficiency, quality, and responsiveness in software-intensive organizations. However, fully adopting CSE is often constrained by complex products, legacy systems,…

Software Engineering · Computer Science 2025-11-05 Eriks Klotins , Magnus Ahlgren , Nicolas Martin Vivaldi , Even-Andre Karlsson

Programmable biomolecule-mediated computing is a new computing paradigm as compared to contemporary electronic computing. It employs nucleic acids and analogous biomolecular structures as information-storing and -processing substrates to…

Emerging Technologies · Computer Science 2024-01-30 Jian-Jun Shu , Zi Hian Tan , Qi-Wen Wang , Kian-Yan Yong

In order to better model high-dimensional sequential data, we propose a collaborative multi-output Gaussian process dynamical system (CGPDS), which is a novel variant of GPDSs. The proposed model assumes that the output on each dimension is…

Machine Learning · Statistics 2019-06-11 Jing Zhao , Jingjing Fei , Shiliang Sun

Process simulation is gaining attention for its ability to assess potential performance improvements and risks associated with business process changes. The existing literature presents various techniques, generally grounded in process…

Artificial Intelligence · Computer Science 2024-06-26 Rafael S. Oyamada , Gabriel M. Tavares , Sylvio Barbon Junior , Paolo Ceravolo

This document describes a pragmatic approach on how to migrate an organisation computer system towards a new system that could evolve forever, addresses the whole organisation and it is integrated. Governance aspects are as important, if…

Software Engineering · Computer Science 2023-10-10 Manuel Tomas Carrasco Benitez

Product Data Management (PDM) desktop and web based systems maintain the organizational technical and managerial data to increase the quality of products by improving the processes of development, business process flows, change management,…

Human-Computer Interaction · Computer Science 2011-03-08 Zeeshan Ahmed

Differentiable programming has recently received much interest as a paradigm that facilitates taking gradients of computer programs. While the corresponding flexible gradient-based optimization approaches so far have been used predominantly…

By adequate employing of complex event processing (CEP), valuable information can be extracted from the underlying complex system and used in controlling and decision situations. An example application area is management of IT systems for…

Software Engineering · Computer Science 2012-08-02 Istvan David

Modern software systems provide many configuration options which significantly influence their non-functional properties. To understand and predict the effect of configuration options, several sampling and learning strategies have been…

Machine Learning · Statistics 2017-09-08 Pooyan Jamshidi , Norbert Siegmund , Miguel Velez , Christian Kästner , Akshay Patel , Yuvraj Agarwal

We discuss the feasibility of predicting, managing and subsequently manipulating, the future evolution of a Complex Adaptive System. Our archetypal system mimics a population of adaptive, interacting objects, such as those arising in the…

Physics and Society · Physics 2007-05-23 David M. D. Smith , Neil F. Johnson

Process analytics approaches allow organizations to support the practice of Business Process Management and continuous improvement by leveraging all process-related data to extract knowledge, improve process performance and support…

Other Computer Science · Computer Science 2025-02-25 Asjad Khan , Aditya Ghose , Hoa Dam , Arsal Syed

Traceability is a key enabler of various activities in automotive software and systems engineering and required by several standards. However, most existing traceability management approaches do not consider that traceability is situated in…

Software Engineering · Computer Science 2020-05-20 Rebekka Wohlrab , Patrizio Pelliccione , Ali Shahrokni , Eric Knauss

Online controlled experiments, now commonly known as A/B testing, are crucial to causal inference and data driven decision making in many internet based businesses. While a simple comparison between a treatment (the feature under test) and…

Applications · Statistics 2015-01-05 Yu Guo , Alex Deng

Computer experiments with both qualitative and quantitative factors are widely used in many applications. Motivated by the emerging need of optimal configuration in the high-performance computing (HPC) system, this work proposes a…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-08 Xia Cai , Li Xu , C. Devon Lin , Yili Hong , Xinwei Deng

Reconfiguration demand is increasing due to frequent requirement changes for manufacturing systems. Recent approaches aim at investigating feasible configuration alternatives from which they select the optimal one. This relies on processes…

Machine Learning · Computer Science 2021-06-01 Benjamin Maschler , Timo Müller , Andreas Löcklin , Michael Weyrich

In this paper, we develop a theoretical model for the adoption process of Information System Security innovations in organisations. The model stemmed from the Diffusion of Innovation theory (DOI), the Technology Acceptance Model (TAM), the…

Computers and Society · Computer Science 2016-09-27 Mumtaz Abdul Hameed , Nalin Asanka Gamagedara Arachchilage
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