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 …

Parallel batch processing machines scheduling in cloud manufacturing for minimizing total service completion time

H Zhang, K Li, C Chu, Z Jia - Computers & Operations Research, 2022 - Elsevier
This paper considers the integrated scheduling problem of production and delivery on
parallel batch processing machines with non-identical capacities in different locations in …

[HTML][HTML] Revisiting the development trajectory of parallel machine scheduling

KC Ying, P Pourhejazy, XY Huang - Computers & Operations Research, 2024 - Elsevier
Abstract The Parallel Machine Scheduling Problem (PMSP) has undergone significant
development in academic literature. The most recent comprehensive review of published …

Minimizing total completion time on non-identical parallel batch machines with arbitrary release times using ant colony optimization

H Zhang, K Li, Z Jia, C Chu - European Journal of Operational Research, 2023 - Elsevier
This paper considers the problem of scheduling a group of jobs with arbitrary release times,
non-identical sizes, and different processing times on non-identical parallel batch …

Unrelated parallel machine photolithography scheduling problem with dual resource constraints

H Chen, P Guo, J Jimenez, ZS Dong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper studies an unrelated parallel machine photolithography scheduling problem with
dual resource constraints (DRC). This is an emerging problem in the semiconductor …

A bi-objective evolutionary algorithm scheduled on uniform parallel batch processing machines

K Li, H Zhang, C Chu, Z Jia, J Chen - Expert Systems with Applications, 2022 - Elsevier
This paper addresses the problem of minimizing the maximum lateness and the total
pollution emission costs by scheduling a group of jobs with different processing times, sizes …

Modeling and planning multimodal transport paths for risk and energy efficiency using and/or graphs and discrete ant colony optimization

Z Wang, M Zhang, R Chu, L Zhao - IEEE Access, 2020 - ieeexplore.ieee.org
Path sequence selection is important for multimodal transport processes. AND/OR graphs
(AOG) have been applied to describe practical multimodal transport route planning …

A bi-objective evolutionary algorithm for minimizing maximum lateness and total pollution cost on non-identical parallel batch processing machines

K Li, H Zhang, C Chu, Z Jia, Y Wang - Computers & Industrial Engineering, 2022 - Elsevier
The concept of sustainable development, which strives to protect the environment while
developing economic and industrial sectors, has received widespread attention. This paper …

Robust optimization based on ant colony optimization in the data transmission path selection of WSNs

Z Zhang, J Li, N Xu - Neural Computing and Applications, 2021 - Springer
Secure data transmission plays a very important role in the energy-efficient path topology
establishment of wireless sensor networks. Robustness of data transmission path has been …

Stability approach to CDC truck scheduling problem under uncertainty

GB Fonseca, TH Nogueira, MG Ravetti - Optimization Letters, 2024 - Springer
One of the most significant challenges in logistics today is managing the complexity,
uncertainty, and dynamism of the market. External and internal factors highly influence the …