基于遗传算法的电力智慧供应链风险控制决策模型

Risk Control Decision Model for Smart Power Supply Chain Based on Genetic Algorithm

电力智慧的供应链具有一定风险。在应用电力智慧的过程中,必须要重视不同之间的差异性,以便寻找最佳的方案处理订单。使用遗传算法促成自动协商的收敛,目的是能降低订单中出现的风险,促进更好的发展。在供应链风险控制中,降低订单中存在的潜在风险,为客户提供更好的服务,从而保证企业的市场竞争力。对于市场经济而言,其自身是一种风险经济,风险时常伴随着各企业。为抓住机遇,企业纷纷有了各自的供应链,以最快的速度完成产品的供应。基于此,本文以遗传算法为基础,对电力智慧的供应链风险控制决策模型展开研究。

The smart supply chain of electricity carries certain risks.In the process of applying power intelligence,it is necessary to pay attention to the differences between different options in order to find the best solution to handle orders.The use of genetic algorithms to facilitate the convergence of automatic negotiation aims to reduce risks in orders and promote better development.In supply chain risk control,reducing potential risks in orders,providing better services to customers,and ensuring the market competitiveness of the enterprise.For a market economy,it is itself a risk economy,and risks often accompany various enterprises.To seize the opportunity,enterprises have established their own supply chains to complete product supply as quickly as possible.Based on this,this paper conducts research on the supply chain risk control decision model of power intelligence based on genetic algorithm.