Online merchant resource allocation and matching for open community collaborative manufacturing (OCCM) in mass personalization model. (January 2023)

• Record Type: Journal Article
• Authors: Zhang, Xianyu; Ming, Xinguo; Bao, Yuguang
• Is Part Of: Advanced engineering informatics. Volume 55(2023)
• Publication Date: 2023-01
• Subjects: Mass personalization -- Collaborative manufacturing -- Community manufacturing -- Open community -- Resource allocation -- Resource matching; Computer-aided engineering -- Periodicals; Engineering -- Data processing -- Periodicals; 620.00285
• DOI: 10.1016/j.aei.2022.101872
• Languages: English
• ISSNs: 1474-0346

Abstract

Highlights: A Workflow for OCCM in MP model is constructed. A method of resource allocation for OCCM is proposed. A method of resource matching for OCCM is proposed. A case study for OCCM in the automotive industry is giving. It has a certain reference value for industry and government. Abstract: In order to meet the requirements of customers' pursuit of personalized and diversified needs, enterprises need to change from the traditional mass manufacturing model to mass personalization manufacturing model. On the other hand, collaborative manufacturing based on stakeholders will effectively solve the problems of information asymmetry, low operational efficiency and insufficient resource utilization in the process of manufacturing. Moreover, the new model of open community manufacturing is conducive to the planning, allocation, optimization and management of various networked and social resources. Therefore, combined with above three innovative models of mass personalization manufacturing, collaborative manufacturing and open community manufacturing, this paper studies the online merchant resource allocation and matching of open community collaborative manufacturing (OCCM) for mass personalization (MP) model to realize the innovation of design model, improve design efficiency and save design resource cost. Firstly, the workflow for OCCM in MP model based on system engineering analysis method is studied. Secondly, online merchant resource allocation for OCCM based on social network analysis (SNA) and online merchant resource matching for OCCM based on fuzzy clustering are proposed. At last, a case study for OCCM in the automotive industry is given to verify the effectiveness of the proposed model and methods.