This paper outlines the main idea and approach of the H2020 ASSISTANT (LeArning and
robuSt deciSIon SupporT systems for agile mANufacTuring environments) project …

Cloud computing allows for elasticity as users can dynamically benefit from new virtual
resources when their workload increases. Such a feature requires highly reactive resource …

The European project ASSISTANT will provide a set of AI-based digital twins that helps
process engineers and production planners to operate collaborative mixed-model assembly …

We describe a system which generates finite domain constraint models from positive
example solutions, for highly structured problems. The system is based on the global …

With the emergence of the Future Internet and the dawning of new IT models such as cloud
computing, the usage of data centers (DC), and consequently their power consumption …

First this report presents a restricted set of finite transducers used to synthesise structural
time-series constraints described by means of a multi-layered function composition scheme …

A checker for a constraint on a variable sequence can often be compactly specified by an
automaton, possibly with accumulators, that consumes the sequence of values taken by the …

An optimization problem with time series forecasting constraints (OPTSFC) is defined as one
with constraints given as prediction results from time series. OPTSFC can be solved in …

Thermosonic flip-chip bonding is a new, solderless technology for area-array connections.
Its simple, clean, and dry process may significantly reduce the assembly cost for prototyping …

We propose a systematic approach for generating linear implied constraints that link the
values returned by several automata with accumulators after consuming the same input …