Strategies for Production Optimization in Non-Flow Production Models in the Context of the Digital Economy

Yunchang Liu

2025

Abstract

This underscores the critical importance of enhancing production flexibility and intelligence. The extant research primarily focuses on assembly line production models and has not extensively explored non-assembly line production models. The present study focuses on the application of data empowerment to island assembly models to optimize resource scheduling, production efficiency, and equipment utilization. The research methods employed encompass theoretical modeling and case analysis. A mixed-integer programming model is employed to analyze the role of data empowerment, and an intelligent warehouse system is utilized to validate its effectiveness. A substantial body of research has demonstrated that the empowerment of data leads to a considerable enhancement in the utilization of equipment and optimizes inventory management. This approach contributes to the acceleration of production cycles and the enhancement of process and task completion rates. Furthermore, it facilitates seamless production connections, thereby enhancing system stability and response speed. Moreover, data empowerment enhances system flexibility, thus enabling the system to respond more effectively to market fluctuations and uncertainties. This article demonstrates the importance of data empowerment in manufacturing transformation and the potential for further exploration of data technology integration in various fields.

Paper Citation

in Harvard Style

Liu Y. (2025). Strategies for Production Optimization in Non-Flow Production Models in the Context of the Digital Economy. In Proceedings of the 2nd International Conference on E-commerce and Modern Logistics - Volume 1: ICEML; ISBN 978-989-758-775-7, SciTePress, pages 681-690. DOI: 10.5220/0013852200004719

in Bibtex Style

@conference{iceml25,
author={Yunchang Liu},
title={Strategies for Production Optimization in Non-Flow Production Models in the Context of the Digital Economy},
booktitle={Proceedings of the 2nd International Conference on E-commerce and Modern Logistics - Volume 1: ICEML},
year={2025},
pages={681-690},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013852200004719},
isbn={978-989-758-775-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on E-commerce and Modern Logistics - Volume 1: ICEML
TI - Strategies for Production Optimization in Non-Flow Production Models in the Context of the Digital Economy
SN - 978-989-758-775-7
AU - Liu Y.
PY - 2025
SP - 681
EP - 690
DO - 10.5220/0013852200004719
PB - SciTePress