Title: SAECCE2025-Technology development trend of cloud-based production control system based on intelligent manufacturing strategy

Authors: Qian Li; Caizhi Zhang; Wei Deng; Xiaoliang Zhu; Bin Liu

Addresses: The State Key Laboratory of Mechanical Transmissions for Advanced Equipment, College of Mechanical and Vehicle Engineering, Chongqing Automotive Collaborative Innovation Centre, Chongqing University, Chongqing, 400044, China; Platform and Module Department, Chongqing Changan Automobile Co. Ltd., Chongqing, 401133, China ' The State Key Laboratory of Mechanical Transmissions for Advanced Equipment, College of Mechanical and Vehicle Engineering, Chongqing Automotive Collaborative Innovation Centre, Chongqing University, Chongqing, 400044, China ' Platform and Module Department, Chongqing Changan Automobile Co. Ltd., Chongqing, 401133, China ' Platform and Module Department, Chongqing Changan Automobile Co. Ltd., Chongqing, 401133, China ' Platform and Module Department, Chongqing Changan Automobile Co. Ltd., Chongqing, 401133, China

Abstract: The rapid advancement of information technology, including digital, networked, and intelligent technologies, is profoundly transforming manufacturing. Innovations such as cloud-based enterprise resource planning (ERP), manufacturing execution systems (MES), and product data management (PDM) are central to this evolution and serve as a driving force behind the new industrial revolution. This paper systematically analyses intelligent manufacturing trends and examines the deep integration of manufacturing with advanced information technology, proposing two key modes: smart manufacturing (SM) and intelligent manufacturing (IM). It provides an overview of cloud ERP, MES, and PDM systems and their technological development directions. Cloud-Based Production Control systems will continue to play a vital role in the future, becoming increasingly intelligent, secure, and sustainable, thereby strongly supporting the digital transformation and intelligent upgrading of the manufacturing industry.

Keywords: intelligent manufacturing; cloud-based production control system; ERP; enterprise resource planning; MES; manufacturing execution system; PDM; product data management.

DOI: 10.1504/IJCMSSE.2026.154243

International Journal of Computational Materials Science and Surface Engineering, 2026 Vol.12 No.4, pp.339 - 360

Received: 21 Aug 2025
Accepted: 25 Jan 2026
Published online: 17 Jun 2026 *

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