Industrial information integration—A literature review 2006–2015
Y Chen - Journal of industrial information integration, 2016 - Elsevier
In the last few years, Industrial Information Integration Engineering (IIIE) has attracted much
attention by the information and communications technology (ICT) community. However …
attention by the information and communications technology (ICT) community. However …
Data mining methods for knowledge discovery in multi-objective optimization: Part A-Survey
Real-world optimization problems typically involve multiple objectives to be optimized
simultaneously under multiple constraints and with respect to several variables. While multi …
simultaneously under multiple constraints and with respect to several variables. While multi …
[HTML][HTML] Data science for engineering design: State of the art and future directions
Engineering design (ED) is the process of solving technical problems within requirements
and constraints to create new artifacts. Data science (DS) is the inter-disciplinary field that …
and constraints to create new artifacts. Data science (DS) is the inter-disciplinary field that …
[HTML][HTML] Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization
In many practical applications, the end-goal of multi-objective optimization is to select an
implementable solution that is close to the Pareto-optimal front while satisfying the decision …
implementable solution that is close to the Pareto-optimal front while satisfying the decision …
[HTML][HTML] How can decision makers be supported in the improvement of an emergency department? A simulation, optimization and data mining approach
The improvement of emergency department processes involves the need to take into
consideration multiple variables and objectives in a highly dynamic and unpredictable …
consideration multiple variables and objectives in a highly dynamic and unpredictable …
A multi-objective optimization strategy for the optimal control scheme of pumped hydropower systems under successive load rejections
X Lai, C Li, J Zhou, Y Zhang, Y Li - Applied Energy, 2020 - Elsevier
Pumped hydropower is the most important sustainable energy in a power grid, which is
converted into electricity through pumped storage hydropower systems. The energy …
converted into electricity through pumped storage hydropower systems. The energy …
Optimizing real-world factory flows using aggregated discrete event simulation modelling: Creating decision-support through simulation-based optimization and …
Reacting quickly to changing market demands and new variants by improving and adapting
industrial systems is an important business advantage. Changes to systems are costly; …
industrial systems is an important business advantage. Changes to systems are costly; …
Decision-making approaches in process innovations: an explorative case study
Purpose The purpose of this paper is to explore the selection of decision-making
approaches at manufacturing companies when implementing process innovations …
approaches at manufacturing companies when implementing process innovations …
Big data analytics for supply chain transformation: A systematic literature review using scor framework
Recent developments in information technology generating massive amount of data are
referred to as big data. Such data with variety and velocity pose a challenge to supply chain …
referred to as big data. Such data with variety and velocity pose a challenge to supply chain …
A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization
Learning effective problem information from already explored search space in an
optimization run, and utilizing it to improve the convergence of subsequent solutions, have …
optimization run, and utilizing it to improve the convergence of subsequent solutions, have …