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 …

[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 …

Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain

A Dolgui, D Ivanov, S Potryasaev… - … Journal of Production …, 2020 - Taylor & Francis
Recently, the applications of Blockchain technology have begun to revolutionise different
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

JJ Wang, L Wang - IEEE Transactions on Evolutionary …, 2021 - ieeexplore.ieee.org
With increasing environmental awareness and energy requirement, sustainable
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

D Ivanov, A Dolgui, B Sokolov, F Werner… - International Journal of …, 2016 - Taylor & Francis
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 …

Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions

J Li, H Sang, Y Han, C Wang, K Gao - Journal of Cleaner Production, 2018 - Elsevier
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 …

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 …

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 …

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 …

An improved particle swarm optimization algorithm to solve hybrid flowshop scheduling problems with the effect of human factors–A case study

MK Marichelvam, M Geetha, Ö Tosun - Computers & Operations Research, 2020 - Elsevier
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 …