技术
- 网络安全和隐私 - 身份认证管理
- 传感器 - 全球定位系统
适用行业
- 生命科学
- 运输
适用功能
- 物流运输
用例
- 最后一英里交付
关于客户
Lauren Concrete 是一家在德克萨斯州中部拥有广泛服务区域的公司。该公司运营着 26 家工厂,每家工厂的同一产品的材料成本都不同。该公司为多个作业交付地点提供服务,面临的挑战是根据材料和交付成本为每个作业确定最具成本效益的工厂。该公司需要一个解决方案来帮助他们处理和分析地理数据,以便就每个工作交付地点使用哪个工厂做出明智的决策。
挑战
Lauren Concrete 是一家在德克萨斯州中部拥有广泛服务区域的公司,其 26 家工厂面临着挑战。每个工厂对于同一项目都有不同的相关材料成本。这意味着,如果两个工厂距特定作业交付地点等距,则一个工厂可能会更具成本效益地为该作业提供服务,因为材料成本较低。面临的挑战是确定哪个工厂将为每个工作交付地点提供尽可能最低的材料和交付成本。
解决方案
Lauren Concrete 求助于地理数据处理工具 eSpatial 来解决他们的挑战。他们处理了过去一年中每张门票的地理数据。对于数十万条记录,他们计算了尽可能低的材料和交付成本,并确定了哪家工厂可以提供该成本。然后,他们将所有这些记录上传到 eSpatial,并使用样式函数根据低成本交付工厂位置对点进行颜色编码。他们在这些彩色区域周围绘制了多边形,以标记工厂和低成本服务区。这使他们能够识别服务区域有限的工厂,从而帮助他们识别材料成本较低的新材料供应商。这反过来又使 Lauren Concrete 能够扩大服务范围。
运营影响
数量效益
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