[HTML][HTML] A review of optimization models and applications in robotic manufacturing systems: Industry 4.0 and beyond

B Vaisi - Decision analytics journal, 2022 - Elsevier
In this review paper, recent developments in robotic problems are cited. A robotic
manufacturing system includes at least a robot-as a material handling device-, a co-worker …

Scheduling of resource allocation systems with timed Petri nets: A survey

B Huang, M Zhou, XS Lu, A Abusorrah - ACM Computing Surveys, 2023 - dl.acm.org
Resource allocation systems (RASs) belong to a kind of discrete event system commonly
seen in the industry. In such systems, available resources are allocated to concurrently …

Scheduling semiconductor testing facility by using cuckoo search algorithm with reinforcement learning and surrogate modeling

ZC Cao, CR Lin, MC Zhou… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
A semiconductor final testing scheduling problem with multiresource constraints is
considered in this paper, which is proved to be NP-hard. To minimize the makespan for this …

Reinforcement learning for robotic flow shop scheduling with processing time variations

JH Lee, HJ Kim - International journal of production research, 2022 - Taylor & Francis
We address a robotic flow shop scheduling problem where two part types are processed on
each given set of dedicated machines. A single robot moving on a fixed rail transports one …

A knowledge-based cuckoo search algorithm to schedule a flexible job shop with sequencing flexibility

ZC Cao, CR Lin, MC Zhou - IEEE Transactions on Automation …, 2019 - ieeexplore.ieee.org
Scheduling of complex manufacturing systems entails complicated constraints such as the
mating operational one. Focusing on the real settings, this article considers an extended …

Two-stage genetic algorithm for scheduling stochastic unrelated parallel machines in a just-in-time manufacturing context

Z Cao, C Lin, M Zhou, C Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper considers a stochastic parallel machine scheduling problem in a just-in-time
manufacturing context, in which its processing time can be described by a gamma or log …

Polynomial approach to optimal one-wafer cyclic scheduling of treelike hybrid multi-cluster tools via Petri nets

F Yang, N Wu, Y Qiao, R Su - IEEE/CAA Journal of Automatica …, 2017 - ieeexplore.ieee.org
A treelike hybrid multi-cluster tool is composed of both single-arm and dual-arm cluster tools
with a treelike topology. Scheduling such a tool is challenging. For a hybrid treelike multi …

Reducing wafer delay time by robot idle time regulation for single-arm cluster tools

WQ Xiong, CR Pan, Y Qiao, NQ Wu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Nowadays, wafer fabrication in semiconductor manufacturing is highly dependent on cluster
tools. A cluster tool is equipped with several process modules (PMs) and a wafer handling …

Soft sensing of nonlinear and multimode processes based on semi-supervised weighted Gaussian regression

X Shi, Q Kang, MC Zhou, A Abusorrah… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
This paper presents a new semi-supervised probabilistic density-based regression
approach, called Semi-supervised Weighted Gaussian Regression (SWGR), for the soft …

Scheduling dual-arm cluster tools with multiple wafer types and residency time constraints

J Wang, H Hu, C Pan, Y Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Accompanying the unceasing progress of integrated circuit manufacturing technology, the
mainstream production mode of current semiconductor wafer fabrication is featured with …