Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems

H Yu, KZ Gao, ZF Ma, YX Pan - Swarm and Evolutionary Computation, 2023 - Elsevier
This study addresses a distributed assembly permutation flowshop scheduling problem,
which is of great significance in practical manufacturing systems. We aim to sequence …

A distributed flexible job shop scheduling problem considering worker arrangement using an improved memetic algorithm

Q Luo, Q Deng, G Gong, X Guo, X Liu - Expert Systems with Applications, 2022 - Elsevier
The classical distributed flexible job shop scheduling problem (DFJSP) mainly considers
factory allocation, machine arrangement, job sequencing and transportation. To date, the …

Reinforcement learning for distributed hybrid flowshop scheduling problem with variable task splitting towards mass personalized manufacturing

X Chen, Y Li, K Wang, L Wang, J Liu, J Wang… - Journal of Manufacturing …, 2024 - Elsevier
Mass personalization manufacturing (MPM), an emerging production pattern, aims to
improve enterprise profit in modern industries. However, the processing of heterogeneous …

Lot streaming in hybrid flowshop scheduling problem by considering equal and consistent sublots under machine capability and limited waiting time constraint

BG Yılmaz, ÖF Yılmaz - Computers & Industrial Engineering, 2022 - Elsevier
In this study, lot streaming in hybrid flowshop scheduling problem under machine capability
and limited waiting time (lwt) constraints is investigated. The HFSP plays a vital role in the …

An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublots

B Zhang, Q Pan, L Meng, C Lu, J Mou, J Li - Knowledge-Based Systems, 2022 - Elsevier
Lot streaming is the most widely used technique to facilitate overlap** of successive
operations. Inspired by real-world scenarios, this paper studies a multi-objective hybrid …

A matheuristic for flexible job shop scheduling problem with lot-streaming and machine reconfigurations

J Fan, C Zhang, W Shen, L Gao - International Journal of …, 2023 - Taylor & Francis
Multi-variety and small-batch production mode enables manufacturing industries to
expeditiously satisfy customers' personalised demands, where a large amount of identical …

An efficient self-adaptive artificial bee colony algorithm for the distributed resource-constrained hybrid flowshop problem

XR Tao, QK Pan, L Gao - Computers & Industrial Engineering, 2022 - Elsevier
Distributed factory processing has attracted the attention and application of many companies
because of the low cost and high flexibility. In the present study, the self-adaptive artificial …

Automatic design of constructive heuristics for a reconfigurable distributed flowshop group scheduling problem

B Zhang, L Meng, C Lu, Y Han, H Sang - Computers & Operations …, 2024 - Elsevier
This study addresses a reconfigurable distributed flowshop group scheduling problem
(RDFGSP), the characteristics of which lie in the reconfigurability of the flowlines, and the …

Reconfigurable distributed flowshop group scheduling with a nested variable neighborhood descent algorithm

B Zhang, C Lu, L Meng, Y Han, H Sang… - Expert Systems with …, 2023 - Elsevier
Inspired by a real-world cellular manufacturing system for processing printed circuit boards
(PCBs), this study addresses a reconfigurable distributed flowshop scheduling problem …

Lot sizing and scheduling problem in distributed heterogeneous hybrid flow shop and learning-driven iterated local search algorithm

W Shao, Z Shao, D Pi - IEEE Transactions on Automation …, 2023 - ieeexplore.ieee.org
Lot planning and production scheduling are two strong coupled sub-problems in the
manufacturing process. The lot-streaming technique divides the products into several lots …