Research On CODP Localization Decision Model Of Automotive Supply Chain Based On Delayed Manufacturing Strategy

TL;DR

This paper develops a decision model for automotive supply chain localization based on delayed manufacturing strategies, aiming to balance cost and flexibility amid personalized demand and rapid response needs.

Contribution

It introduces an order response node configuration model that integrates time constraints, cost dynamics, and process adjustments for automotive manufacturing scenarios.

Findings

Model effectively captures cost and inventory dynamics at different production stages.

Simulation and case studies verify the model's practicality and accuracy.

Provides decision support for flexible, cost-efficient automotive production.

Abstract

Under the market background of increasingly personalized product demand and compressed response cycle, the traditional manufacturing model with standardized mass production as the core has been difficult to meet the dual expectations of customers for differentiation and fast delivery. In order to improve the efficiency of resource allocation and market response, automobile manufacturers need to build a production system that takes into account cost and flexibility. Based on the delayed response manufacturing strategy, this study built an order response node configuration model suitable for automotive manufacturing scenarios, focusing on the positioning of order driven intervention points in the production process. The model comprehensively considers the structural cost changes brought by process adjustment, the dynamic characteristics of the changes of unit manufacturing cost and intermediate inventory cost at different stages with the location of nodes, and introduces delivery time constraints to embed time factors into the inventory decision logic to enhance the practicality of the model and the adaptation of realistic constraints. In terms of solution methods, this paper adopts function fitting and simulation analysis methods, combined with mathematical modeling tools, systematically describes the change trend of total cost, and verifies the rationality and effectiveness of the model structure and solution through actual enterprise cases. The research results provide a theoretical basis and decision support for automobile manufacturing enterprises to realize the synergy of flexible production and cost control in the environment of variable demand, and also provide an empirical reference for the implementation path and system optimization of subsequent relevant strategies.