The evolution and future of manufacturing: A review
B Esmaeilian, S Behdad, B Wang - Journal of manufacturing systems, 2016 - Elsevier
Manufacturing is continuously evolving from concept development to methods and tools
available for the production of goods for use or sale. Traditionally, manufacturing refers to an …
available for the production of goods for use or sale. Traditionally, manufacturing refers to an …
[HTML][HTML] A systematic review of multi-objective hybrid flow shop scheduling
JS Neufeld, S Schulz, U Buscher - European Journal of Operational …, 2023 - Elsevier
In industry, production is often organized in the form of a hybrid flow shop, and there is great
interest in methods and algorithms for optimizing such production processes. While, thus far …
interest in methods and algorithms for optimizing such production processes. While, thus far …
Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain
Recently, the applications of Blockchain technology have begun to revolutionise different
aspects of supply chain (SC) management. Among others, Blockchain is a platform to …
aspects of supply chain (SC) management. Among others, Blockchain is a platform to …
A cooperative memetic algorithm with learning-based agent for energy-aware distributed hybrid flow-shop scheduling
With increasing environmental awareness and energy requirement, sustainable
manufacturing has attracted growing attention. Meanwhile, distributed manufacturing …
manufacturing has attracted growing attention. Meanwhile, distributed manufacturing …
A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0
Smart factories Industry 4.0 on the basis of collaborative cyber-physical systems represents
a future form of industrial networks. Supply chains in such networks have dynamic structures …
a future form of industrial networks. Supply chains in such networks have dynamic structures …
Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions
This paper proposes an energy-aware multi-objective optimization algorithm (EA-MOA) for
solving the hybrid flow shop (HFS) scheduling problem with consideration of the setup …
solving the hybrid flow shop (HFS) scheduling problem with consideration of the setup …
Scope for industrial applications of production scheduling models and solution methods
I Harjunkoski, CT Maravelias, P Bongers… - Computers & Chemical …, 2014 - Elsevier
This paper gives a review on existing scheduling methodologies developed for process
industries. Above all, the aim of the paper is to focus on the industrial aspects of scheduling …
industries. Above all, the aim of the paper is to focus on the industrial aspects of scheduling …
Hybrid flow shop scheduling considering machine electricity consumption cost
H Luo, B Du, GQ Huang, H Chen, X Li - International journal of production …, 2013 - Elsevier
Hybrid flow shop (HFS) scheduling has been extensively examined and the main objective
has been to improve production efficiency. However, limited attention has been paid to the …
has been to improve production efficiency. However, limited attention has been paid to the …
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 …
An improved particle swarm optimization algorithm to solve hybrid flowshop scheduling problems with the effect of human factors–A case study
This paper addresses the multi-stage hybrid flowshop scheduling problem with identical
parallel machines at each stage by considering the effect of human factors. The various …
parallel machines at each stage by considering the effect of human factors. The various …