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

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, optimi-zation 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 effec-tiveness of the proposed model and methods.

Automated summary

In order to meet customers' personalized and diversified needs, enterprises need to shift from traditional mass manufacturing to mass personalization. Collaborative manufacturing based on stakeholders can address issues such as information asymmetry and low operational efficiency in the manufacturing process. Additionally, the new model of open community manufacturing facilitates the planning and management of networked and social resources. This paper studies the online merchant resource allocation and matching in open community collaborative manufacturing for mass personalization, aiming to improve design efficiency and reduce resource costs.