面对繁多的商品品类和多变的采配流程,B2C(Business to Consumers)电商物流运营的主要挑战之一即是合理刻画顾客小批量、不确定性的需求以实现采配流程的平稳高效运行。本文针对B2C电商企业多品补货需求的不确定性,将商品需求假设为三...面对繁多的商品品类和多变的采配流程,B2C(Business to Consumers)电商物流运营的主要挑战之一即是合理刻画顾客小批量、不确定性的需求以实现采配流程的平稳高效运行。本文针对B2C电商企业多品补货需求的不确定性,将商品需求假设为三角模糊变量。同时,考虑基于历史数据的模糊变量确定存在随机可能性判断,本文运用模糊期望值理论,构建以成本最小化为目标的多品采配(Joint replenishment and delivery,JRD)协同模型。模型采用粒子群算法(Particle Swarm Optimization,PSO)进行求解。数值实验验证了PSO相比于遗传算法(Genetic Algorithm,GA)求解JRD的有效性和适用性。展开更多
Selenium is one of the life-related elements. Survey reveals that selenium enrichment in the studied strata from Kaiyang County is considered to be closely related to the following factors: regional black shale series...Selenium is one of the life-related elements. Survey reveals that selenium enrichment in the studied strata from Kaiyang County is considered to be closely related to the following factors: regional black shale series in Niutitang Formation of Early Cambrian, strong adsorption of organic matter(OM), magmatic hydrothermal migrate along the deep fault, mixing and migration of hydrothermal brine, regional uranium mineralization and presence of a great deal sulfides. For selenium enrichment in its weathered soil and crops, the reason responsible is selenium-enriched bedrock, which provides material sources for weathering profile and is considered as the main controlling factor of selenium content in the soil profile. After leaching and migrates downwards, organic carbon(OC) adsorption, iron-manganese layer adsorption, geochemical barrier role, selenium content in different profiles, there are mainly three types of distribution features: bottom enrichment type, top enrichment type and no significant enrichment type. Comprehensive analyses find that selenium enrichment area is mainly distributed in the Machang, Gaoyun-Fengsan-Guanpo, Baimadong, Chuandong-Hefeng-Shaoshang and Longgang-Gaozhai region, etc. Besides, around the east part of the county, in Huali and Yongxing selenium are relatively scarce.展开更多
文摘面对繁多的商品品类和多变的采配流程,B2C(Business to Consumers)电商物流运营的主要挑战之一即是合理刻画顾客小批量、不确定性的需求以实现采配流程的平稳高效运行。本文针对B2C电商企业多品补货需求的不确定性,将商品需求假设为三角模糊变量。同时,考虑基于历史数据的模糊变量确定存在随机可能性判断,本文运用模糊期望值理论,构建以成本最小化为目标的多品采配(Joint replenishment and delivery,JRD)协同模型。模型采用粒子群算法(Particle Swarm Optimization,PSO)进行求解。数值实验验证了PSO相比于遗传算法(Genetic Algorithm,GA)求解JRD的有效性和适用性。
基金financially supported by the 211 National Key Program of Discipline Construction,Guizhou University,China(No.KST-200903)
文摘Selenium is one of the life-related elements. Survey reveals that selenium enrichment in the studied strata from Kaiyang County is considered to be closely related to the following factors: regional black shale series in Niutitang Formation of Early Cambrian, strong adsorption of organic matter(OM), magmatic hydrothermal migrate along the deep fault, mixing and migration of hydrothermal brine, regional uranium mineralization and presence of a great deal sulfides. For selenium enrichment in its weathered soil and crops, the reason responsible is selenium-enriched bedrock, which provides material sources for weathering profile and is considered as the main controlling factor of selenium content in the soil profile. After leaching and migrates downwards, organic carbon(OC) adsorption, iron-manganese layer adsorption, geochemical barrier role, selenium content in different profiles, there are mainly three types of distribution features: bottom enrichment type, top enrichment type and no significant enrichment type. Comprehensive analyses find that selenium enrichment area is mainly distributed in the Machang, Gaoyun-Fengsan-Guanpo, Baimadong, Chuandong-Hefeng-Shaoshang and Longgang-Gaozhai region, etc. Besides, around the east part of the county, in Huali and Yongxing selenium are relatively scarce.