An adaptive artificial bee colony for hybrid flow shop scheduling with batch processing machines in casting process

J Wang, D Lei, H Tang - International Journal of Production …, 2024 - Taylor & Francis
Hybrid flow shop scheduling problem (HFSP) with real-life constraints has been extensively
considered; however, HFSP with batch processing machines (BPM) at a middle stage is …

A multi-objective dynamical artificial bee colony for energy-efficient fuzzy hybrid flow shop scheduling with batch processing machines

J Wang, D Lei, H Tang - Expert Systems with Applications, 2025 - Elsevier
Energy-efficient hybrid flow shop scheduling problem (EHFSP) with batch processing
machines (BPMs) is rarely considered, let alone EHFSP with BPMs and uncertainty. In this …

Imperialist competitive algorithm for unrelated parallel machine scheduling with sequence-and-machine-dependent setups and compatibility and workload constraints

M Elyasi, YS Selcuk, OÖ Özener, E Coban - Computers & Industrial …, 2024 - Elsevier
In this paper, we present an in-depth analysis of the unrelated parallel machine scheduling
problem (UPMSP) in the context of washing machine production at Vestel Electronics. Vestel …

The product–mold–machine manufacturing problem: Complexity, MILP models and constructive heuristics

N Troncoso, H Cancela, P Piñeyro, F Quezada… - Computers & Industrial …, 2024 - Elsevier
This study addresses the product–mold–machine manufacturing problem, a problem
intrinsic to the fabrication processes in industries such as tires, plastics, ceramics, and glass …

[HTML][HTML] Non-identical parallel machines batch processing problem to minimize the makespan: Models and algorithms

P Beldar, M Battarra, G Laporte - Computers & Operations Research, 2024 - Elsevier
This paper studies a parallel heterogeneous machine batching and scheduling problem in
which weighted jobs are first batched, and the batches are then assigned and sequenced on …

Improving Additive Manufacturing production planning: A sub-second pixel-based packing algorithm

Z Lu, K Hu, TS Ng - Computers & Industrial Engineering, 2023 - Elsevier
Additive Manufacturing (AM), the technology of rapid prototyping directly from 3D digital
models, has made a significant impact on both academia and industry. When facing the …

An improved deep Q-learning algorithm for a trade-off between energy consumption and productivity in batch scheduling

X Zheng, Z Chen - Computers & Industrial Engineering, 2024 - Elsevier
The single-batch machine, commonly found in industrial manufacturing, can concurrently
process a group of jobs in variable-speed batches, leading to fluctuating levels of both …

Multiobjective unrelated parallel machines scheduling problem with periodic maintenance activities and dependent processing times

M Yaghtin, Y Javid - Journal of Modelling in Management, 2024 - emerald.com
Purpose The purpose of this research is to address the complex multiobjective unrelated
parallel machine scheduling problem with real-world constraints, including sequence …

Scheduling Time-constrained Cluster Tools with Non-identical Parallel Processing Chambers

F Yang, R Wang, N Chen, N Wu… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
As a computer-integrated manufacturing system, cluster tools are widely used for
semiconductor manufacturing. To tackle their scheduling problems with parallel processing …

Joint optimization of production and maintenance scheduling for unrelated parallel machine using hybrid discrete spider monkey optimization algorithm

Y Chen, L Zhong, C Shena, J Mumt… - International Journal of …, 2023 - growingscience.com
This paper considers an unrelated parallel machine scheduling problem with variable
maintenance based on machine reliability to minimize the maximum completion time. To …