机构地区: 合肥工业大学管理学院物流与供应链管理研究所
出 处: 《系统工程》 2006年第5期18-22,共5页
摘 要: 提出由客观状态的不确定性和结果价值两方面因素造成的期望利润熵的概念,定义并构造期望利润熵的函数表达式,阐明期望利润熵作为客观状态和决策行动方案的合理性。通过运用期望利润熵来度量由于随机需求引起订购过量和缺货的结果带来的不确定,提高销售商的决策水平。数字实验表明:考虑利润最大和期望利润熵最小的策略比仅考虑利润最大化得到的策略更好,可以使供应链、销售商及供应商都受益。 This paper proposes a new concept of Expected-profit-entropy from uncertainty and resultant value of the objective. Expected-profit-entropy is defined and contructed. It also expounds the reasonability of Expected-profit-entropy and Expected-profit-entropy as the un certainty measure of the object state and decision action. Expected-profit-entropy is applied to measure the uncertainty of ordering's excessive and shortage, which improves the retailer's decision-making level. We verify numerically that: Considering the Profit Maximization and Expected-profit-entropy minimization can get better policy than only considering the Profit Maximization Rule. It is benefic to the whole chain, retailer and supplyer.
领 域: [经济管理—企业管理] [经济管理—国民经济]