Iterated greedy algorithms for flow-shop scheduling problems: A tutorial
ZY Zhao, MC Zhou, SX Liu - IEEE Transactions on Automation …, 2021 - ieeexplore.ieee.org
An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely
used to solve flow-shop scheduling problems (FSPs), an important branch of production …
used to solve flow-shop scheduling problems (FSPs), an important branch of production …
A review of green shop scheduling problem
M Li, GG Wang - Information Sciences, 2022 - Elsevier
The manufacturing industry directly reflects the productivity level of a country and plays an
important role in economic and social development. However, with the development of the …
important role in economic and social development. However, with the development of the …
Sustainable, resilient and responsive mixed supply chain network design under hybrid uncertainty with considering COVID-19 pandemic disruption
MM Vali-Siar, E Roghanian - Sustainable production and consumption, 2022 - Elsevier
The occurrence of the COVID-19 pandemic is a disruption that has adversely affected many
supply chains (SCs) around the world and further proved the necessity of combination and …
supply chains (SCs) around the world and further proved the necessity of combination and …
Research on flexible job shop scheduling under finite transportation conditions for digital twin workshop
J Yan, Z Liu, C Zhang, T Zhang, Y Zhang… - Robotics and Computer …, 2021 - Elsevier
Flexible job shop scheduling is one of the most effective methods for solving multiple
varieties and small batch production problems in discrete manufacturing enterprises …
varieties and small batch production problems in discrete manufacturing enterprises …
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times
The distributed permutation flowshop scheduling problem (DPFSP) has attracted much
attention in recent years. In this paper, we extend the DPFSP by considering the sequence …
attention in recent years. In this paper, we extend the DPFSP by considering the sequence …
A discrete artificial bee colony algorithm for distributed hybrid flowshop scheduling problem with sequence-dependent setup times
With the development of global and decentralised economies, distributed production
emerges in large manufacturing firms. A distributed production model exists with hybrid …
emerges in large manufacturing firms. A distributed production model exists with hybrid …
A multiobjective evolutionary algorithm based on decomposition for hybrid flowshop green scheduling problem
Energy saving has attracted growing attention due to the advent of sustainable
manufacturing. By this motivation, this paper studies a hybrid flowshop green scheduling …
manufacturing. By this motivation, this paper studies a hybrid flowshop green scheduling …
[HTML][HTML] Energy-aware decision support models in production environments: A systematic literature review
The substantial amount of energy consumed through industrial production has given rise to
a large number of research papers that incorporate environmental aspects and increased …
a large number of research papers that incorporate environmental aspects and increased …
Resilient mixed open and closed-loop supply chain network design under operational and disruption risks considering competition: A case study
This study addresses the problem of resilient mixed open and closed-loop supply chain
network design under operational and disruption risks as a fundamental domain in supply …
network design under operational and disruption risks as a fundamental domain in supply …
MIP modeling of energy-conscious FJSP and its extended problems: From simplicity to complexity
Regarding four different energy-conscious scheduling problems, namely, flexible job shop
scheduling problem (FJSP), FJSP with transportation time (FJSP-T), FJSP with sequence …
scheduling problem (FJSP), FJSP with transportation time (FJSP-T), FJSP with sequence …