Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems
This study addresses a distributed assembly permutation flowshop scheduling problem,
which is of great significance in practical manufacturing systems. We aim to sequence …
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 …
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 …
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
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 …
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
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 …
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
Multi-variety and small-batch production mode enables manufacturing industries to
expeditiously satisfy customers' personalised demands, where a large amount of identical …
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
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 …
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
This study addresses a reconfigurable distributed flowshop group scheduling problem
(RDFGSP), the characteristics of which lie in the reconfigurability of the flowlines, and the …
(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
Inspired by a real-world cellular manufacturing system for processing printed circuit boards
(PCBs), this study addresses a reconfigurable distributed flowshop scheduling problem …
(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
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 …
manufacturing process. The lot-streaming technique divides the products into several lots …