An Optimization Model for Die Sets Allocation to Minimize Supply Chain Cost 2022-01-5057
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).
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. Download Citation
Author(s):
Amir Abolhassani, Javad Navaei, Nazmul Hassan, Erik Solecki, Timothy Mooney
Affiliated:
Industrial and Management Systems Engineering, West Virginia, Ford Motor Company
Pages: 7
Event:
Automotive Technical Papers
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Manufacturing systems
Mathematical models
Supply chain management
Optimization
Cost analysis
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