A new heuristic strategic safety stock optimization is proposed based on evolutionary programming(EP) algorithm for reverse logistics supply chain systems. The supply chain is described with a network and the modeling...A new heuristic strategic safety stock optimization is proposed based on evolutionary programming(EP) algorithm for reverse logistics supply chain systems. The supply chain is described with a network and the modeling complexity of external as well as internal product returns and reuses of supply chains is considered with. It is assumed that customer demands for final products are uncertain. Products are randomly returned from external customers to stock points. The optimization model is established and three different cases with different structures are used to show the strength of the algorithm.展开更多
In the field of logistics and transport, safety stock has become an important part of establishing safety stock, which enables enterprises to predict demand which cannot be guaranteed;safety stock build is to improve ...In the field of logistics and transport, safety stock has become an important part of establishing safety stock, which enables enterprises to predict demand which cannot be guaranteed;safety stock build is to improve service levels, and improves consumer the satisfaction, thereby enhancing the credibility of enterprises for corporate profits. However, the establishment of safety stock is bound to make the cost of business increase, after studies show that the safety stock in the logistics field cannot continue to increase down needs and logistics, logistics and speed limit orders supply chain into account, only in this way, the field of logistics safety stock is the most effective method of logistics.展开更多
A set of model is established to optimize BSW Company’s component stock. By analyzing the company’s current part stock condition in terms of the occupation of capitals in the precondition of continuous production, i...A set of model is established to optimize BSW Company’s component stock. By analyzing the company’s current part stock condition in terms of the occupation of capitals in the precondition of continuous production, it describes how to control the purchase parameters of import parts. The model describes how to adjust slightly product output sequence and how to control the components’ purchase parameters: purchasing risk time and purchase order quantity. Then simulation is developed to illustrate the model.展开更多
文摘A new heuristic strategic safety stock optimization is proposed based on evolutionary programming(EP) algorithm for reverse logistics supply chain systems. The supply chain is described with a network and the modeling complexity of external as well as internal product returns and reuses of supply chains is considered with. It is assumed that customer demands for final products are uncertain. Products are randomly returned from external customers to stock points. The optimization model is established and three different cases with different structures are used to show the strength of the algorithm.
文摘In the field of logistics and transport, safety stock has become an important part of establishing safety stock, which enables enterprises to predict demand which cannot be guaranteed;safety stock build is to improve service levels, and improves consumer the satisfaction, thereby enhancing the credibility of enterprises for corporate profits. However, the establishment of safety stock is bound to make the cost of business increase, after studies show that the safety stock in the logistics field cannot continue to increase down needs and logistics, logistics and speed limit orders supply chain into account, only in this way, the field of logistics safety stock is the most effective method of logistics.
文摘A set of model is established to optimize BSW Company’s component stock. By analyzing the company’s current part stock condition in terms of the occupation of capitals in the precondition of continuous production, it describes how to control the purchase parameters of import parts. The model describes how to adjust slightly product output sequence and how to control the components’ purchase parameters: purchasing risk time and purchase order quantity. Then simulation is developed to illustrate the model.
