Algorithm based on an improved profile-fitting tabu search for vaccine production scheduling

Dan Sun; Yong Yao

doi:10.1117/12.2628112

22 April 2022 Algorithm based on an improved profile-fitting tabu search for vaccine production scheduling

Dan Sun, Yong Yao

Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 121631U (2022) https://doi.org/10.1117/12.2628112
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China

Abstract

Vaccine production scheduling is actually a specific application of the typical workpiece sequencing problem in sequencing theory. On the basis of certain production constraints, the production efficiency can be improved by optimizing the solution of several types of vaccine scheduling problems with fixed processing times. This article first uses an improved profile fitting algorithm to reduce the production blocking time of the workpiece and determines the production sequence of adjacent vaccines; then uses the tabu search algorithm to perform global optimization to improve the convergence performance; finally, the "two exchange method" is used as a test tool. The experimental results show that this method can minimize the total waiting time of vaccine processing and achieve the best production scheduling.

Citation Download Citation

Dan Sun and Yong Yao "Algorithm based on an improved profile-fitting tabu search for vaccine production scheduling", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 121631U (22 April 2022); https://doi.org/10.1117/12.2628112

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