Semantic Scholar Open Access 2022 35 sitasi

Operation twins: production-intralogistics synchronisation in Industry 4.0

Mingxing Li Daqiang Guo Ming Li T. Qu George Q. Huang

Abstrak

ABSTRACT The widespread adoption of Industry 4.0 technologies is revolutionising how manufacturing operations are managed and done. This revolution drives manufacturing practitioners to reevaluate their current manufacturing planning and control (MPC) strategies to maintain global competitiveness. The production and intralogistics (PiL) operations within traditional MPC systems are organised separately, which results in inferior overall solutions. PiL operations in a single factory are inherently coupled and interact with each other throughout the entire process, which needs synchronous organisation and operations. This paper introduces a novel concept of operations twins (OT), with vertical twinning and horizontal twining, for achieving PiL synchronisation by leveraging Industry 4.0 technologies and innovative operations management strategies. An Internet-of-Things (IoT)-based vertical twinning method is developed for real-time object-level data collection and information-sharing between PiL. A horizontal twinning mechanism is proposed to support real-time coordination of production and intralogistics operations with real-time information-sharing. A numerical study is carried out, and the results show that OT outperforms the widely used static and dynamic methods regarding the overall stability and typical measures such as makespan, average manufacturing time, and average tardiness under different levels of uncertainties.

Topik & Kata Kunci

Penulis (5)

M

Mingxing Li

D

Daqiang Guo

M

Ming Li

T

T. Qu

G

George Q. Huang

Format Sitasi

Li, M., Guo, D., Li, M., Qu, T., Huang, G.Q. (2022). Operation twins: production-intralogistics synchronisation in Industry 4.0. https://doi.org/10.1080/00207543.2022.2098874

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.1080/00207543.2022.2098874
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Total Sitasi
35×
Sumber Database
Semantic Scholar
DOI
10.1080/00207543.2022.2098874
Akses
Open Access ✓