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- Title
A robust hybrid heuristic algorithm to solve multi-plant milk-run pickup problem with uncertain demand in automobile parts industry.
- Authors
Wu, Q.; Wang, X.; He, Y. D.; Xuan, J.; He, W. D.
- Abstract
Considering the actual situation of China's automobile industry, this paper pioneers the discussion of the multi-factory milk run pickup problem with uncertain demand and frequency (MFMRPP-UDF). Considering the balance between inventory cost and distribution cost, a mixed-integer programming model was built for the problem, and converted into a robust optimization model by the Chernoff-Hoeffding theorem; then, the adaptive genetic algorithm (AGA) and local search (LS) were combined into a general hybrid heuristic algorithm (AGA-LS) to solve the problem. Then, the proposed algorithm was run 10 times and contrasted with the standard GA. The results show that the AGA-LS outperformed the standard GA in the reduction of the overall cost. This research provides important insights into the cost efficiency of inventory and delivery in the automobile parts industry.
- Subjects
AUTOMOBILE equipment sales &; prices; ROBUST optimization; GENETIC algorithms; AUTOMOBILE supplies industry; MIXED integer linear programming
- Publication
Advances in Production Engineering & Management, 2018, Vol 13, Issue 2, p3
- ISSN
1854-6250
- Publication type
Article
- DOI
10.14743/apem2018.2.282