An Optimal Location-Allocation Model for Equipment Supporting System Based on Uncertainty Theory
نویسندگان
چکیده
Scientific support depot location and reasonable spare parts transportation are the keys to improving level of complex systems. The current equipment system has problems chaotic warehouse layout low efficiency parts. reliability completeness parts’ historical data hard believe. In order deal with cognitive uncertainty caused by asymmetry data, this paper adopts theory optimize volume. Under constraints shortage rate, supply availability, average logistic delay time, inventory limit, uncertain chance-constrained model supporting is established. optimization transformed into a deterministic using inverse distribution. genetic algorithm used solution model. Finally, practicability operability method verified through example analysis.
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ژورنال
عنوان ژورنال: Symmetry
سال: 2023
ISSN: ['0865-4824', '2226-1877']
DOI: https://doi.org/10.3390/sym15020338