Design Object: Intelligent Manufacturing Module
Yong Li,
Xunchen Liu,
Shanling Han and
Jian‘gang Gao
Additional contact information
Yong Li: Shandong University of Science and Technology, College of Mechanical and Electronic Engineering
Xunchen Liu: Shandong University of Science and Technology, College of Mechanical and Electronic Engineering
Shanling Han: Shandong University of Science and Technology, College of Mechanical and Electronic Engineering
Jian‘gang Gao: Ocean University of China, Faculty of Information Science and Engineering
Chapter Chapter 4 in Intelligent Manufacturing Engineering, 2026, pp 321-392 from Springer
Abstract:
Abstract The design objects of the IME system, referred to as CPS, encompasses modules such as ERP, CRM, MES, PLM, APS, WMS, and others. These modules are intended to fulfill their respective roles within the IME system, to collaborate effectively, and to facilitate enterprises in achieving an intelligent and data-driven production process through integration and optimization. Consequently, this enhances the overall operational efficiency and market competitiveness of the enterprise (as shown in Fig. 4.1). In practice, while these modules have distinct focuses, the significant cross-departmental features lead to functional overlaps, bringing about inconsistent evaluations of the same event by different subsystems. To address this, it is necessary to employ a unified DOR theory as the underlying logic. By introducing the history, components, functions, analysis tools, and roles in IME of each module, a comprehensive cross-departmental profile of IME is formed to integrate the modules into hierarchical complex networks for improved scientific decision-making.
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-95-3109-7_4
Ordering information: This item can be ordered from
http://www.springer.com/9789819531097
DOI: 10.1007/978-981-95-3109-7_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().