Modeling and implementing strategies for supply chain alignment

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Jet injection devices have been studied and developed for transdermal drug delivery to avoid the use of needles. Such contact-less devices provide several advantages such as better dose control, lateral and depth localisation, lower collateral damage than ...

Time series with missing data are signals encountered in important settings for machine learning. Some of the most successful prior approaches for modeling such time series are based on recurrent neural networks that transform the input and previous state ...

Assortment planning deserves much attention from practitioners and academics due to its direct impact on retailers' commercial success. In this paper we focus on the increasingly popular retail practice to use combined product assortments with both "standa ...

Author summary Computer-based numerical simulations of the heart are increasingly assuming a recognized role in the context of computational medicine and cardiology. They are based on mathematical models describing the different physical phenomena occurrin ...

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In this paper, we present a problem structuring method in business and IT analysis illustrated with an example. The project describes an IT consulting case done for a Swiss medical society faced with a problem of change management and digital transformatio ...

High fidelity (HF) mathematical models describing the generation of active force in the cardiac muscle tissue typically feature a large number of state variables to capture the intrinsically complex underlying subcellular mechanisms. With the aim of drasti ...

Coupled dynamical systems are omnipresent in everyday life. In general, interactions between individual elements composing the system are captured by complex networks. The latter greatly impact the way coupled systems are functioning and evolving in time. ...

Digital Twins (DT) are proposed in industries to support the entire lifecycle of services with different perspectives. Lack of systematic analysis of DT concepts leads to various definitions and services which challenges the DT developers for data integrat ...

Stochastic optimization is a popular modeling paradigm for decision-making under uncertainty and has a wide spectrum of applications in management science, economics and engineering. However, the stochastic optimization models one faces in practice are int ...

Orthogonal maps are the solutions of the mathematical model of paper-folding, also called the origami problem. They consist of a system of first-order fully nonlinear equations involving the gradient of the solution. The Dirichlet problem for orthogonal ma ...

Modeling and implementing strategies for supply chain alignment

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Laser-induced liquid micro-jets for drug delivery

Recursive Input And State Estimation: A General Framework For Learning From Time Series With Missing Data

Product assortment and space allocation strategies to attract loyal and non-loyal customers

Biophysically detailed mathematical models of multiscale cardiac active mechanics

A Complexity Analysis Approach for Model-based System Engineering

Problem structuring to enable innovation in business/IT projects

Machine learning of multiscale active force generation models for the efficient simulation of cardiac electromechanics

Local Vulnerabilities and Global Robustness of Coupled Dynamical Systems on Complex Networks

Systems Engineering Approach to Identify Requirements for Digital Twins Development

Scalable Stochastic Optimization: Scenario Reduction with Guarantees

Numerical Approximation Of Orthogonal Maps