首页|Genetic Algorithm for Solving a Just-In-time Inventory Model With Imperfect Rework Implemented in a Serial Multi-echelon System

Genetic Algorithm for Solving a Just-In-time Inventory Model With Imperfect Rework Implemented in a Serial Multi-echelon System

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  • NETL
  • NSTL
  • Natl Taiwan Ocean Univ
As global industrial competition intensifies, enterprises can achieve substantial competitive advantages in the supplychain management environment by promptly meeting customer demands and efficiently reducing both supply anddemand costs. This paper proposes an inventory model for supply chain optimization that considers uncertain deliverylead times and defective products. Solving the model requires solving a nonlinear mixed-integer problem, whichtraditionally requires considerable time. Solutions to nondeterministic polynomial-time hard problems with highcomplexity and difficulty are often obtained using heuristic algorithms. Among these algorithms, genetic algorithmshave high efficiency and quality. Therefore, we employed a genetic algorithm to solve the proposed model.

Genetic algorithmMulti-echelon inventory modelQuality unreliabilityUncertain delivery lead time

Hsien-Chung Tsao、Cheng-Chi Chung、Hsuan-Shih Lee、Chih-Ping Lin、Yan-Yun Tu、Ssu-Chi Lin

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Department of Shipping and Transportation Management, National Taiwan Ocean University, Taiwan

Department of Industrial Engineering and Management, National Taipei University of Technology, Taiwan

Department of Transportation Science, National Taiwan Ocean University, Taiwan

2023

10.51400/2709-6998.2712

Journal of Marine Science and Technology

Journal of Marine Science and Technology

ISSN：1023-2796
年,卷(期)：2023.31(4)
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