A survey of job shop scheduling problem: The types and models

H Xiong, S Shi, D Ren, J Hu - Computers & Operations Research, 2022 - Elsevier
Job shop scheduling problem (JSSP) is a thriving area of scheduling research, which has
been concerned and studied widely by scholars in engineering and academic fields. This …

[HTML][HTML] The flexible job shop scheduling problem: A review

S Dauzère-Pérès, J Ding, L Shen… - European Journal of …, 2024 - Elsevier
The flexible job shop scheduling problem (FJSP) is an NP-hard combinatorial optimization
problem, which has wide applications in the real world. The complexity and relevance of the …

A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem

R Chen, B Yang, S Li, S Wang - Computers & industrial engineering, 2020 - Elsevier
As an important branch of production scheduling, flexible job-shop scheduling problem
(FJSP) is difficult to solve and is proven to be NP-hard. Many intelligent algorithms have …

Efficient multi-objective meta-heuristic algorithms for energy-aware non-permutation flow-shop scheduling problem

A Goli, A Ala, M Hajiaghaei-Keshteli - Expert Systems with Applications, 2023 - Elsevier
This study investigates the optimization of non-permutation flow-shop scheduling problems
and lot-sizing simultaneously. Contrary to previous works, we first study the energy …

Machine-fixture-pallet resources constrained flexible job shop scheduling considering loading and unloading times under pallet automation system

Y Zhou, S Du, M Liu, X Shen - Journal of Manufacturing Systems, 2024 - Elsevier
Pallet automation system (PAS) has gained more and more attention from many
manufacturing enterprises with the development of flexible automation, where machine …

A transfer convolutional neural network for fault diagnosis based on ResNet-50

L Wen, X Li, L Gao - Neural Computing and Applications, 2020 - Springer
With the rapid development of smart manufacturing, data-driven fault diagnosis has attracted
increasing attentions. As one of the most popular methods applied in fault diagnosis, deep …

Multi-resource constrained flexible job shop scheduling problem with fixture-pallet combinatorial optimisation

M Liu, J Lv, S Du, Y Deng, X Shen, Y Zhou - Computers & Industrial …, 2024 - Elsevier
There is a lack of research on the flexible job shop scheduling problem (FJSP) considering
limited fixture-pallet resources in multi-product mixed manufacturing workshops. However …

Review of job shop scheduling research and its new perspectives under Industry 4.0

J Zhang, G Ding, Y Zou, S Qin, J Fu - Journal of intelligent manufacturing, 2019 - Springer
Traditional job shop scheduling is concentrated on centralized scheduling or semi-
distributed scheduling. Under the Industry 4.0, the scheduling should deal with a smart and …

Digital twins-based flexible operating of open architecture production line for individualized manufacturing

J Leng, Z Chen, W Sha, Z Lin, J Lin, Q Liu - Advanced Engineering …, 2022 - Elsevier
Individualized manufacturing implies high flexibility of both the hardware and software of the
production lines based on a fast physical and logical system (de) commissioning. This paper …

Digital-twin-based job shop scheduling toward smart manufacturing

Y Fang, C Peng, P Lou, Z Zhou, J Hu… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Job shop scheduling always plays an important role in the manufacturing process and is
one of the decisive factors influencing manufacturing efficiency. In the actual process of …