An uncertain optimization model for repairable inventory System

2014 ◽  
Author(s):  
Qiao Han ◽  
Meilin Wen
Keyword(s):  
Optimization Model ◽  
Inventory System ◽  
Uncertain Optimization

scholarly journals Enhancing the Robustness of the Wireless Power Transfer System to Uncertain Parameter Variations Using an Interval-Based Uncertain Optimization Method

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2032
Author(s):  
Yanting Luo ◽  
Yongmin Yang ◽  
Xisen Wen ◽  
Ming Cheng
Keyword(s):  
Optimization Model ◽  
Wireless Power Transfer ◽  
Optimization Method ◽  
Uncertain Parameter ◽  
System Structure ◽  
Power Transfer ◽  
Wireless Power ◽  
Uncertain Optimization ◽  
Wide Range ◽  
Parameter Variations

Uncertainty commonly exists in the wireless power transfer (WPT) systems for moving objects. To enhance the robustness of the WPT system to uncertain parameter variations, a modified WPT system structure and an interval-based uncertain optimization method are proposed in this paper. The modified WPT system, which includes two Q-type impedance matching networks, can switch between two different operating modes. The interval-based uncertain optimization method is used to improve the robustness of the modified WPT system: First, two interval-based objective functions (mean function and variance function) are defined to evaluate the average performance and the robustness of the system. A double-objective uncertain optimization model for the modified WPT system is built. Second, a bi-level nested optimization algorithm is proposed to find the Pareto optimal solutions of the proposed optimization model. The Pareto fronts are provided to illustrate the tradeoff between the two objectives, and the robust solutions are obtained. Experiments were carried out to verify the theoretical method. The results demonstrated that using the proposed method, the modified WPT system can achieve good robustness when the coupling coefficient, the operating frequency, the load resistance or the load reactance varies over a wide range.

Uncertain optimization model for multi-echelon spare parts supply system

2017 ◽  
Vol 56 ◽  
pp. 646-654 ◽  
Author(s):  
Meilin Wen ◽  
Qiao Han ◽  
Yi Yang ◽  
Rui Kang
Keyword(s):  
Optimization Model ◽  
Spare Parts ◽  
Supply System ◽  
Uncertain Optimization

scholarly journals Uncertain Optimization of Discrete Supply Networks with Order Delivery Disruption and Risk Preference in the Postepidemic Era

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yang Song ◽  
Yan-qiu Liu ◽  
Qi Sun ◽  
Hai-tao Xu ◽  
Ming-fei Chen
Keyword(s):  
Optimization Model ◽  
Risk Preference ◽  
Firm Risk ◽  
Order Allocation ◽  
Supply Networks ◽  
Uncertain Optimization ◽  
Biobjective Optimization ◽  
Subjective Utility ◽  
Network Disruption ◽  
Distribution Problems

Epidemic blockade leads to increased uncertainty and dynamic supply network disruption. This study considers an uncertain optimization of dynamic supply networks with risk preference and order delivery disruption. Taking the subjective utility of downstream enterprises as a reference point for the utility measurement of order delivery disruption and risk preference, this study constructs a biobjective optimization model with the goal of maximizing the downstream firm’s subjective utility and minimizing the manufacturer’s cost. The influence of each parameter in the downstream firm’s subjective utility function on the integrated optimization was analysed. The research found that the uncertain optimization model with the risk preference of downstream firms for order delivery disruption better controls the actual manufacturer’s order allocation and distribution problems when considering the downstream firms’ behaviour preference characteristics under bounded rationality. When allocating orders, manufacturers should consider that changes in order delivery disruption will cause changes in the subjective utility of downstream enterprises. In the process of multiperiod cooperation between manufacturers and downstream firms, they can obtain downstream firm risk preferences through repeated investigations.

scholarly journals An Optimization Model for Inventory System and the Algorithm for the Optimal Inventory Costs Based on Supply-Demand Balance

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Qingsong Jiang ◽  
Wei Xing ◽  
Ruihuan Hou ◽  
Baoping Zhou
Keyword(s):  
Optimization Model ◽  
Lead Time ◽  
Compound Poisson Process ◽  
Inventory System ◽  
Optimal Management ◽  
Agricultural Enterprises ◽  
Inventory Costs ◽  
Inventory Optimization ◽  
Inventory Strategy ◽  
Mutually Independent

In order to investigate the inventory optimization of circulation enterprises, demand analysis was carried out firstly considering supply-demand balance. Then, it was assumed that the demand process complied with mutually independent compound Poisson process. Based on this assumption, an optimization model for inventory control of circulation enterprises was established with the goal of minimizing the average total costs in unit time of inventory system. In addition, the optimal computing algorithm for inventory costs was presented. Meanwhile, taking the agricultural enterprises in Aksu, Xinjiang, China, for example, the researchers conducted numerical simulation and sensitivity analysis. Through constantly adjusting and modifying the parameters values in model, the optimal stock and the optimal inventory costs were obtained. Therein, the numerical results showed that the uncertainty of lead time greatly influenced the optimal inventory strategy. Besides, it was demonstrated that the research results provided a valuable reference for the agricultural enterprises in terms of optimal management for inventory system.

An optimization model of self-paced tracking

1984 ◽  
Author(s):  
M. A. Montazer ◽  
Colin G. Drury
Keyword(s):  
Optimization Model
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