An Optimization Model for Die Sets Allocation to Minimize Supply Chain Cost

2022-01-5057

07/08/2022

Features
Event
Automotive Technical Papers
Authors Abstract
Content
In this paper, a novel mixed-integer programming model is developed to optimally assign the die sets to candidate plants to minimize the total costs. The total costs include freight shipping stamped parts to assembly plants, die set movement, outsourcing, and utilization. Therefore, the objective function is weighted multi-criteria and it takes into consideration some of the key constraints in the real-world condition including “must-move die sets”. An optimization tool has been developed that takes several inputs and feeds them as the input to the mathematical model and generates the optimal assignments with the directional costs as the output. The tool has been tested for several plants at Ford and has proved its robustness by saving millions of dollars. The developed tool can easily be applied to other manufacturing systems and original equipment manufacturers (OEMs).
Meta TagsDetails
DOI
https://doi.org/10.4271/2022-01-5057
Pages
7
Citation
Abolhassani, A., Navaei, J., Hassan, N., Solecki, E. et al., "An Optimization Model for Die Sets Allocation to Minimize Supply Chain Cost," SAE Technical Paper 2022-01-5057, 2022, https://doi.org/10.4271/2022-01-5057.
Additional Details
Publisher
Published
Jul 8, 2022
Product Code
2022-01-5057
Content Type
Technical Paper
Language
English