Systematic literature review of decision support models for energy-efficient production planning

K Biel, CH Glock - Computers & Industrial Engineering, 2016 - Elsevier
Following the scarcity of resources, rising energy prices, and an increasing awareness of the
role manufacturing plays in the generation of greenhouse gas emissions, the consumption …

A review on optimization modeling of energy systems planning and GHG emission mitigation under uncertainty

Y Zeng, Y Cai, G Huang, J Dai - Energies, 2011 - mdpi.com
Energy is crucial in supporting people's daily lives and the continual quest for human
development. Due to the associated complexities and uncertainties, decision makers and …

Scheduling continuous casting of aluminum using a multiple objective ant colony optimization metaheuristic

M Gravel, WL Price, C Gagné - European journal of operational Research, 2002 - Elsevier
This paper presents an ant colony optimization metaheuristic for the solution of an industrial
scheduling problem in an aluminum casting center. We present an efficient representation of …

Evolutionary computing in manufacturing industry: an overview of recent applications

V Oduguwa, A Tiwari, R Roy - Applied Soft Computing, 2005 - Elsevier
Traditional methods often employed to solve complex real world problems tend to inhibit
elaborate exploration of the search space. They can be expensive and often results in sub …

Energy-oriented production planning in industry: A systematic literature review and classification scheme

H Terbrack, T Claus, F Herrmann - Sustainability, 2021 - mdpi.com
Scarcity of resources, structural change during the further development of renewable energy
sources, and their corresponding costs, such as increasing resource costs or penalties due …

[HTML][HTML] A novel adaptive genetic algorithm for global optimization of mathematical test functions and real-world problems

MJ Mahmoodabadi, AR Nemati - Engineering Science and Technology, an …, 2016 - Elsevier
Genetic algorithm (GA) is a population-based stochastic optimization technique that has two
major problems, ie low convergence speed and falling down in local optimum points. This …

Scheduling pre-printed newspaper advertising inserts using genetic algorithms

AE Carter, CT Ragsdale - Omega, 2002 - Elsevier
In recent years, the use of pre-printed advertising inserts in newspapers has increased
dramatically. Pre-printed inserts allow advertisers to deliver colorful, high-quality marketing …

Integration of production scheduling and energy-cost optimization using Mean Value Cross Decomposition

H Hadera, J Ekström, G Sand, J Mäntysaari… - Computers & Chemical …, 2019 - Elsevier
Integrated optimization of the procurement cost of electric energy with production planning is
increasingly considered in various industries. The traditional approach in industry is …

Maintenance management of load haul dumper using reliability analysis

B Jakkula, M Ch. SN - Journal of Quality in Maintenance Engineering, 2020 - emerald.com
Purpose Load haul dumper (LHD) is one of the main ore transporting machineries used in
underground mining industry. Reliability of LHD is very significant to achieve the expected …

Real-time optimization of the pulp mill benchmark problem

M Mercangöz, FJ Doyle III - Computers & Chemical Engineering, 2008 - Elsevier
An economic optimization methodology for the pulp mill benchmark problem is presented.
The process variables with economic significance and the available degrees of freedom in …