Optimization of Lateral Transfer Inventory of Auto Spare Parts Based on Neural Network Forecasting
Journal Title: Journal of Intelligent Systems and Control - Year 2022, Vol 1, Issue 1
Abstract
Creating a fair replenishment strategy is one of the most significant instruments in the inventory management for automotive spare parts. It is also crucial to controlling the enterprise's inventory level. This study considers the significance of retailers' demand forecasting at the conclusion of the sales period to build a lateral transfer inventory optimization scheme with high scientific rigor, aiming to ensure the correctness and logic of the replenishment strategy. To provide a more scientific direction for the inventory management of an automotive spare parts company, this research constructs an upgraded particle swarm optimization (PSO)-backpropagation (BP) neural network prediction model, and a lateral transfer inventory optimization method based on demand forecasting. Finally, 26 retailers of Company B in Central China's Hunan Province were taken as examples to confirm the model's efficacy. The outcomes demonstrate an improvement in the lateral transfer's applicability in Company B.
Authors and Affiliations
Xinhao Shao, Daofang Chang, Meijia Li
Keywords
Related Articles
- EP ID EP731834
- DOI https://doi.org/10.56578/jisc010102
- Views 84
- Downloads 1
New 5D Hyperchaotic System Derived from the Sprott C System: Properties and Anti Synchronization
This study introduces a new ten-term 5-D hyperchaotic system, derived from the 3-D Sprott C system. The proposed system has coexisting two attractors: the self-excited and hidden attractors. This system exhibits a rich a...
Optimization of Lateral Transfer Inventory of Auto Spare Parts Based on Neural Network Forecasting
Creating a fair replenishment strategy is one of the most significant instruments in the inventory management for automotive spare parts. It is also crucial to controlling the enterprise's inventory level. This study con...
Adaptive Neuro-Fuzzy Inference System Based on Sliding Mode Control for Quadcopter Trajectory Tracking with the Presence of External Disturbance
Objective of this study is to develop a novel, effective, and robust Sliding Mode Control (SMC) method for quadcopters (also called quadrotors) based on Adaptive Neuro-Fuzzy Inference System (ANFIS) for the purposes of e...
Efficiency Improvement of Induction Motors Based on Rotor Slot and Tooth Structures
Due to simple structure, easy maintenance and low cost, induction motors (IMs) are widely applied in various industries, accounting for 60-80% alternating current (AC) motors used in industry. However, the efficiency of...
Modeling and Control Strategy of Wind-Solar Hydrogen Storage Coupled Power Generation System
Hydrogen production by wind and solar hybrid power generation is an important means to solve the strong randomness and high volatility of wind and solar power generation. In this paper, the permanent magnet direct-drive...