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

H **ong, 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 …

The evolution of production scheduling from Industry 3.0 through Industry 4.0

Z Jiang, S Yuan, J Ma, Q Wang - International Journal of …, 2022 - Taylor & Francis
Since the Third Industrial Revolution, technology and the global economy have developed
rapidly. Driven by market demand and the development of science and technology, the …

A hybrid genetic tabu search algorithm for distributed flexible job shop scheduling problems

J **e, X Li, L Gao, L Gui - Journal of Manufacturing Systems, 2023 - Elsevier
The distributed flexible job-shop scheduling problem (DFJSP) is an extension of the flexible
job shop scheduling problem, which is a famous NP-complete combinatorial optimization …

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 …

Mixed-integer linear programming and constraint programming formulations for solving distributed flexible job shop scheduling problem

L Meng, C Zhang, Y Ren, B Zhang, C Lv - Computers & industrial …, 2020 - Elsevier
This paper intends to address the distributed flexible job shop scheduling problem (DFJSP)
with minimizing maximum completion time (makespan). In order to solve this problem, we …

Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times

L Meng, K Gao, Y Ren, B Zhang, H Sang… - Swarm and Evolutionary …, 2022 - Elsevier
As regards distributed hybrid flow shop scheduling with sequence-dependent setup times
(DHFSP-SDST), three novel mixed-integer linear programming (MILP) models and a …

An improved iterated greedy algorithm for the distributed hybrid flowshop scheduling problem

C Lu, J Zheng, L Yin, R Wang - Engineering Optimization, 2024 - Taylor & Francis
This study attempts to solve the distributed hybrid flowshop scheduling problem (DHFSP)
with the makespan criterion. First, a mixed-integer linear programming model for the DHFSP …

A multi-objective scheduling method for distributed and flexible job shop based on hybrid genetic algorithm and tabu search considering operation outsourcing and …

W Xu, Y Hu, W Luo, L Wang, R Wu - Computers & Industrial Engineering, 2021 - Elsevier
The general distributed flexible job shop scheduling problem (DFJSP) involves three sub-
problems:(1) operation-sequencing,(2) job-to-cell assignment, and (3) operation-to-machine …

A novel priority dispatch rule generation method based on graph neural network and reinforcement learning for distributed job-shop scheduling

JP Huang, L Gao, XY Li, CJ Zhang - Journal of Manufacturing Systems, 2023 - Elsevier
With the development of a global economy, distributed manufacturing becomes common in
the industrial field. The Distributed Job-shop Scheduling Problem (DJSP), which is …

Energy-efficient scheduling of distributed flow shop with heterogeneous factories: A real-world case from automobile industry in China

C Lu, L Gao, J Yi, X Li - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Distributed flow shop scheduling of a camshaft machining is an important optimization
problem in the automobile industry. The previous studies on distributed flow shop …