Artificial-intelligence-driven customized manufacturing factory: key technologies, applications, and challenges
The traditional production paradigm of large batch production does not offer flexibility toward
satisfying the requirements of individual customers. A new generation of smart factories is …
satisfying the requirements of individual customers. A new generation of smart factories is …
Smart factory of industry 4.0: Key technologies, application case, and challenges
Due to the current structure of digital factory, it is necessary to build the smart factory to
upgrade the manufacturing industry. Smart factory adopts the combination of physical …
upgrade the manufacturing industry. Smart factory adopts the combination of physical …
Test problems for large-scale multiobjective and many-objective optimization
The interests in multiobjective and many-objective optimization have been rapidly
increasing in the evolutionary computation community. However, most studies on …
increasing in the evolutionary computation community. However, most studies on …
[HTML][HTML] Data-driven engineering design: A systematic review using scientometric approach
In the last two decades, data regarding engineering design and product development has
increased rapidly. Big data exploration and mining offer numerous opportunities for …
increased rapidly. Big data exploration and mining offer numerous opportunities for …
Data mining based on clustering and association rule analysis for knowledge discovery in multiobjective topology optimization
Optimum design problems, including structural optimization problems, often include multiple
objectives. A multiobjective optimization problem usually provides a number of optimal …
objectives. A multiobjective optimization problem usually provides a number of optimal …
[HTML][HTML] Advanced Engineering Informatics-Philosophical and methodological foundations with examples from civil and construction engineering
T Hartmann, A Trappey - Developments in the built environment, 2020 - Elsevier
We argue that the representation and formalization of complex engineering knowledge is
the main aim of inquiries in the scientific field of Advanced Engineering Informatics. We …
the main aim of inquiries in the scientific field of Advanced Engineering Informatics. We …
Knowledge-based design for assembly in agile manufacturing by using Data Mining methods
R Kretschmer, A Pfouga, S Rulhoff… - Advanced Engineering …, 2017 - Elsevier
Decision making in early production planning phases is typically based on a rough
estimation due to lack of a comprehensive, reliable knowledge base. Virtual planning has …
estimation due to lack of a comprehensive, reliable knowledge base. Virtual planning has …
Key issues in real-world applications of many-objective optimisation and decision analysis
The insights and benefits to be realised through the optimisation of multiple independent,
but conflicting objectives are well recognised by practitioners seeking effective and robust …
but conflicting objectives are well recognised by practitioners seeking effective and robust …
Searching of data structures in pre-processing data for a machine learning classifier
A data processing system is configured to pre-process data for a machine learning classifier.
The data processing system includes an input port that receives one or more data items, an …
The data processing system includes an input port that receives one or more data items, an …
SNA-based multi-criteria evaluation of multiple construction equipment: A case study of loaders selection
F Zhang, Y Ju, EDRS Gonzalez, A Wang - Advanced Engineering …, 2020 - Elsevier
Selecting the proper construction equipment is a challenging task owing to a wide range of
available types as well as a host of criteria to be considered during decision making. To deal …
available types as well as a host of criteria to be considered during decision making. To deal …