Optimization of the Replenishment Strategy for the Supplier Based on Genetic Algorithm
نویسندگان
چکیده
In the supply chain management, the supplier can reduce its total cost by providing price discounts to restrict the retailers’ replenishment intervals to multiples of a common replenishment interval. In order to accomplish this purpose, supplier often determined a price discount that all the retailers can accept. After the cost of the supplier was further considered, a better price discount was designed, which can meet all the retailers’ requirements to maximize their benefits. And a new supplier’s minimization problem model based on stackelberg game was designed also. Then a genetic algorithm is used to solve the supplier’s replenishment model. Experiment results of the genetic algorithm demonstrated the feasibility and the effectiveness of the strategy.
منابع مشابه
Modelling Integrated Multi-item Supplier Selection with Shipping Frequencies
There are many benefits for coordination of multiple suppliers when single supplier cannot satisfy buyer demands. In addition, buyer needs to purchase multiple items in a real supply chain. So, a model that satisfies these requests has many advantages. We extend the existing approaches in the literature that assume all suppliers need to be put on a common replenishment cycle and each supplier ...
متن کاملChaotic Genetic Algorithm based on Explicit Memory with a new Strategy for Updating and Retrieval of Memory in Dynamic Environments
Many of the problems considered in optimization and learning assume that solutions exist in a dynamic. Hence, algorithms are required that dynamically adapt with the problem’s conditions and search new conditions. Mostly, utilization of information from the past allows to quickly adapting changes after. This is the idea underlining the use of memory in this field, what involves key design issue...
متن کاملPresenting a Joint Replenishment-location Model Under all-units Quantity Discount and Solving by Genetic Algorithm and Harmony Search Algorithm
In this paper a model is proposed for distribution centers location and joint replenishment of a distribution system that is responsible for orders and product delivery to distribution centers. This distribution centers are under limitedwarehouse space and this can determine amount of requirement product by considering proposed discount.The proposed model is develop to minimize total costs cons...
متن کاملOptimal Bidding Strategies of GENCOs in Day-Ahead Energy and Spinning Reserve Markets Based on Hybrid GA-Heuristic Optimization Algorithm
In an electricity market, every generation company (GENCO) attempts to maximize profit according to other participants bidding behaviors and power systems operating conditions. The goal of this study is to examine the optimal bidding strategy problem for GENCOs in energy and spinning reserve markets based on a hybrid GA-heuristic optimization algorithm. The heuristic optimization algorithm used...
متن کاملAn Improved Imperialist Competitive Algorithm based on a new assimilation strategy
Meta-heuristic algorithms inspired by the natural processes are part of the optimization algorithms that they have been considered in recent years, such as genetic algorithm, particle swarm optimization, ant colony optimization, Firefly algorithm. Recently, a new kind of evolutionary algorithm has been proposed that it is inspired by the human sociopolitical evolution process. This new algorith...
متن کامل