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Integrated Optimization for Stock Levels and Cross-Training Schemes with Simulation-Based Genetic Algorithm
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
A spare part supply system for repairable spares in a repair shop is modeled as a set of heterogeneous parallel servers that have the ability to repair only certain types of repairables. The proposed model minimizes the ...
Simulation based particle swarm optimization of cross-training policies in spare parts supply systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
We study a single location supply system for repairable spare parts. The system consists of a multi-server repair shop and inventory with ready-to-use spare parts. When a failed part is received, a new (or as-good-as-new) ...
A vector quantization based k-NN approach for large-scale image classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The k-nearest-neighbour classifiers (k-NN) have been one of the simplest yet most effective approaches to instance based learning problem for image classification. However, with the growth of the size of image datasets and ...
An Efficient Heuristic for Pooled Repair Shop Designs
(
Springer Verlag
, 2019 , Conference Paper)
An effective spare part supply system planning is essential to achieve a high capital asset availability. We investigate the design problem of a repair shop in a single echelon repairable multi-item spare parts supply ...