A hybrid model for value‐added process analysis of manufacturing value chains. Issue 1 (19th November 2022)

• Record Type: Journal Article
• Authors: Song, Jingwen; Wang, Aihui; Liu, Ping; Li, Daming; Han, Xiaobo; Yan, Yuhao
• Is Part Of: IET collaborative intelligent manufacturing. Volume 5:Issue 1(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-11-19
• Subjects: manufacturing industry -- model -- value addition -- value chain; Production management -- Periodicals; Production engineering -- Periodicals; Production management; Production engineering; Electronic journals; Periodicals; 658.5
• DOI: 10.1049/cim2.12071
• Languages: English
• ISSNs: 2516-8398

Abstract

Abstract: In the digital era, realising intelligent digital transformation is a major challenge in the manufacturing field. Digital transformation means bringing more profit appreciation. To improve the analysis reliability of value‐added processes, this study proposes a method for assessing enterprises value‐adding activities. For this purpose, a hybrid model is constructed based on data and mathematics, bridged by a server. The research builds an element group model that identifies data from different sources, and also gives a mathematical model to describe the relationship of the supply, marketing and service. Taking an automobile manufacturing value chain as an example, to theoretically analyse the composition of value‐added activities. Then, the assembly process of an automobile manufacturing plant was used as a value‐added case study. The simulation results show the impact of changing production layout and product handling angle on the whole value chain. The study can provide new ideas for the intelligent digital transformation of the manufacturing industry. Abstract : The manufacturing industry has a huge problem of business process data, which leads to the inability of enterprises to intuitively obtain value‐added situation. In this study, a mathematical driven model based on data is proposed, and the effectiveness of the method is verified by software simulation.