Modeling of Bernoulli production line with rework loop for real-time work-in-process optimization in permutation flowshop

Wang, Xianliang; Gu, Wenjin; Liu, Siqi; Guo, Zhenyang; Zhan, Yongzhong

doi:10.1109/iaeac54830.2022.9929608

Cited by 1 publication

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the permutation flowshop with re-entrant links, the specific indicators include Rework Rate (RR), Production Rate (PR), Energy-Consuming Reduction Rate (ECRA), etc. The reliability of automatic machines is determined when the parts and tools to be processed are determined, and the factors of human interference in the production process are very small [18]. Productivity is an important indicator of reliability characteristics.…”

Section: Machine Reliability Model For Both Manual and Automatic Mach...mentioning

confidence: 99%

“…Mo et al [17] introduced a paradigm that assimilates digital twins with modular artificial intelligence algorithms to dynamically reconfigure manufacturing systems to align with fluctuating consumer or market demands, addressing aspects such as layout, process parameters, and the scheduling of numerous assets. Wang et al [18] defined the state expression function and reliability model of operator-based combined machine tools. Then, Bernoulli's theory is used to calculate the state of the machine and buffer.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Predictive Control Model of Bernoulli Production Line with Rework Loop for Real-Time WIP Optimization in Permutation Flowshop

Gu,

Guo,

Wang

et al. 2023

Machines

Self Cite

View full text Add to dashboard Cite

Permutation flowshop design and optimization are crucial in industry as they have a direct impact on production scheduling and efficiency. The ultimate goal is to model the production system (PSM) based on revealing the fundamental principles of the production process, and to schedule or reschedule production release plans in real time without interrupting work-in-progress (WIP). Most existing PSMs are focused on static production processes which fail to describe the dynamic relationships between machines and buffers. Therefore, this paper establishes a PSM to characterize both the static and transient behaviors of automatic and manual machines in the permutation flowshop manufacturing system. Building upon the established PSM, based on Bernoulli’s theory, discrete event model predictive control is proposed in this paper; its aim is to realize real-time optimization of production release plans without interfering with work-in-progress. According to the results of numerical examples, the discrete event model predictive control proposed in this paper is feasible and effective. The model established in this paper provides a theoretical basis for optimizing the effective operation of work-in-progress and replacement process systems.

show abstract

Section: Machine Reliability Model For Both Manual and Automatic Mach...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Predictive Control Model of Bernoulli Production Line with Rework Loop for Real-Time WIP Optimization in Permutation Flowshop

Gu,

Guo,

Wang

et al. 2023

Machines

Self Cite

View full text Add to dashboard Cite

show abstract

Modeling of Bernoulli production line with rework loop for real-time work-in-process optimization in permutation flowshop

Cited by 1 publication

References 6 publications

A Predictive Control Model of Bernoulli Production Line with Rework Loop for Real-Time WIP Optimization in Permutation Flowshop

A Predictive Control Model of Bernoulli Production Line with Rework Loop for Real-Time WIP Optimization in Permutation Flowshop

Contact Info

Product

Resources

About