Inventory control model for a supply chain system with multiple types of items and minimum order size requirements

2016 ◽  
Vol 25 (6) ◽  
pp. 1927-1946 ◽  
Author(s):  
Jun Hyeong Park ◽  
Jong Soo Kim ◽  
Ki Young Shin
Keyword(s):  
Supply Chain ◽  
Inventory Control ◽  
Control Model ◽  
Supply Chain System ◽  
Minimum Order ◽  
Chain System ◽  
Inventory Control Model

scholarly journals Fuzzy Control Model and Simulation for Nonlinear Supply Chain System with Lead Times

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Songtao Zhang ◽  
Yanting Hou ◽  
Siqi Zhang ◽  
Min Zhang
Keyword(s):  
Supply Chain ◽  
Fuzzy Control ◽  
Control Strategy ◽  
Control Model ◽  
Lead Times ◽  
Supply Chain System ◽  
Chain System ◽  
Model And Simulation ◽  
Definition Of ◽  
System Variables

A new fuzzy robust control strategy for the nonlinear supply chain system in the presence of lead times is proposed. Based on Takagi-Sugeno fuzzy control system, the fuzzy control model of the nonlinear supply chain system with lead times is constructed. Additionally, we design a fuzzy robust H∞ control strategy taking the definition of maximal overlapped-rules group into consideration to restrain the impacts such as those caused by lead times, switching actions among submodels, and customers’ stochastic demands. This control strategy can not only guarantee that the nonlinear supply chain system is robustly asymptotically stable but also realize soft switching among subsystems of the nonlinear supply chain to make the less fluctuation of the system variables by introducing the membership function of fuzzy system. The comparisons between the proposed fuzzy robust H∞ control strategy and the robust H∞ control strategy are finally illustrated through numerical simulations on a two-stage nonlinear supply chain with lead times.

scholarly journals Research on Multi-Echelon Inventory Optimization for Fresh Products in Supply Chains

2021 ◽  
Vol 13 (11) ◽  
pp. 6309
Author(s):  
Yingying Zhang ◽  
Yi Chai ◽  
Le Ma
Keyword(s):  
Supply Chain ◽  
Inventory Control ◽  
Inventory Management ◽  
Fitness Function ◽  
Optimal Solution ◽  
Control Model ◽  
Practical Significance ◽  
Deterioration Rate ◽  
Inventory Control Model ◽  
Fresh Products

Fresh products are perishable and fragile, which easily leads to higher inventory costs and requires reasonable planning of inventory management. Therefore, it is very important for fresh product supply chain systems to have multi-echelon inventory control. However, in past studies, few control models of the multi-echelon inventory considered the deterioration rate of perishable products as the variable factor. In this paper, on the basis of considering the perishable characteristics of fresh products, combining the deterioration rate with the inventory control model, a multi-echelon inventory control model for fresh products is designed and optimized, and the optimal solution from the whole supply chain is obtained through the optimal fitness function by genetic algorithm. Finally, Flexsim is used to simulate the two inventory strategies before and after optimization. After simulation comparison and analysis, it is verified that the optimized inventory control strategy has lower costs. The research results can help supply chain managers of fresh products to make inventory management decisions and save costs, which is of practical significance.

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