Author(s)

Xiaoping Ou, Fei Luo^*

College of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China.

This paper studies the cost problem caused by the activity of the work-piece in the supply chain. The objective function is to find an optimal ordering that minimizes the total cost of production, transportation and subcontracting. This paper presents a dynamic programming algorithm for the corresponding sorting problem, and finally demonstrates the feasibility of the algorithm through an example.

Supply Chain Scheduling, Singe-Machine, Dynamic Programming Algorithm

Ou, X. and Luo, F. (2022) A Multi-Customer Supply Chain Scheduling with Subcontracting Option on a Single Machine. Journal of Applied Mathematics and Physics, 10, 3749-3757. doi: 10.4236/jamp.2022.1012249.