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 …

Data mining methods for knowledge discovery in multi-objective optimization: Part A-Survey

S Bandaru, AHC Ng, K Deb - Expert Systems with Applications, 2017 - Elsevier
Real-world optimization problems typically involve multiple objectives to be optimized
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

F Chiarello, P Belingheri, G Fantoni - Computers in Industry, 2021 - Elsevier
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 …

[HTML][HTML] Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization

H Smedberg, S Bandaru - European Journal of Operational Research, 2023 - Elsevier
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 …

[HTML][HTML] How can decision makers be supported in the improvement of an emergency department? A simulation, optimization and data mining approach

AG Uriarte, ER Zúñiga, MU Moris, AHC Ng - Operations Research for …, 2017 - Elsevier
The improvement of emergency department processes involves the need to take into
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 …

Optimizing real-world factory flows using aggregated discrete event simulation modelling: Creating decision-support through simulation-based optimization and …

S Lidberg, T Aslam, L Pehrsson, AHC Ng - Flexible Services and …, 2020 - Springer
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; …

Decision-making approaches in process innovations: an explorative case study

E Flores-Garcia, J Bruch, M Wiktorsson… - Journal of …, 2021 - emerald.com
Purpose The purpose of this paper is to explore the selection of decision-making
approaches at manufacturing companies when implementing process innovations …

Big data analytics for supply chain transformation: A systematic literature review using scor framework

SS Kamble, RS Mor, A Belhadi - … and Industry 4.0 for Sustainable Supply …, 2023 - Springer
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 …

A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization

S Mittal, DK Saxena, K Deb, ED Goodman - ACM Transactions on …, 2021 - dl.acm.org
Learning effective problem information from already explored search space in an
optimization run, and utilizing it to improve the convergence of subsequent solutions, have …