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 …
role manufacturing plays in the generation of greenhouse gas emissions, the consumption …
Role of textured tool in improving machining performance: A review
P Ranjan, SS Hiremath - Journal of Manufacturing Processes, 2019 - Elsevier
Machining is basically defined as a process of gradual material removal used to finish
materials of desired surface finish and dimensional accuracy. For achieving the desired …
materials of desired surface finish and dimensional accuracy. For achieving the desired …
Solving the energy-efficient job shop scheduling problem: a multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness …
In recent years, there has been a growing concern over the environmental impact of
traditional manufacturing, especially in terms of energy consumption and related emissions …
traditional manufacturing, especially in terms of energy consumption and related emissions …
An improved artificial bee colony algorithm for solving multi-objective low-carbon flexible job shop scheduling problem
Y Li, W Huang, R Wu, K Guo - Applied Soft Computing, 2020 - Elsevier
Based on the analysis of multi-objective flexible job-shop scheduling problem (FJSP), a
multi-objective low-carbon job-shop scheduling problem (MLFJSP) with variable processing …
multi-objective low-carbon job-shop scheduling problem (MLFJSP) with variable processing …
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times
This paper addresses the flexible job shop scheduling problem with controllable processing
times (FJSP-CPT). The objective is to simultaneously minimize makespan and total energy …
times (FJSP-CPT). The objective is to simultaneously minimize makespan and total energy …
MILP models for energy-aware flexible job shop scheduling problem
With energy shortage and environmental pollution becoming increasingly severe problems,
energy-efficient scheduling is attracting much more attention than before. This paper …
energy-efficient scheduling is attracting much more attention than before. This paper …
An improved gray wolf optimization algorithm to solve engineering problems
Y Li, X Lin, J Liu - Sustainability, 2021 - mdpi.com
With the rapid development of the economy, the disparity between supply and demand of
resources is becoming increasingly prominent in engineering design. In this paper, an …
resources is becoming increasingly prominent in engineering design. In this paper, an …
A survey of teaching–learning-based optimization
F Zou, D Chen, Q Xu - Neurocomputing, 2019 - Elsevier
Over past few decades, swarm intelligent algorithms based on the intelligent behaviors of
social creatures have been extensively studied and applied for all kinds of optimization …
social creatures have been extensively studied and applied for all kinds of optimization …
Stochastic multi-objective modelling and optimization of an energy-conscious distributed permutation flow shop scheduling problem with the total tardiness constraint
Recent years have seen a great deal of attention in energy conservation for production and
manufacturing activities, particularly for energy-intensive industries. One of the useful …
manufacturing activities, particularly for energy-intensive industries. One of the useful …
Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems
R Rao - Decision science letters, 2016 - growingscience.com
The teaching-learning-based optimization (TLBO) algorithm is finding a large number of
applications in different fields of engineering and science since its introduction in 2011. The …
applications in different fields of engineering and science since its introduction in 2011. The …