BHC3库存优化

优化原材料的库存和服务水平

BHC3库存优化

优化购买零件的库存和服务级别

BHC3库存优化

Optimize inventory and service levels for finished goods

BHC3库存优化

优化Energy Company的过境工业产品的库存和服务水平

减少库存成本,释放营运资金并减少储蓄风险

BHC3™ Inventory Optimization applies advanced AI/machine learning and optimization techniques to help oil and gas companies reduce industrial parts and equipment inventory levels, while maintaining confidence that they will have stock when and where they need it.

石油和天然气公司往往携带多余的工业组件库存,以解决运营或需求的不确定性。这通常表现为工业部件和设备的过剩库存,以防止意外停机。许多下游制造商还携带大量工业部件库存,以防止库存输出或为客户提供更好的交货时间和灵活性。多年来,公司部署了材料需求计划(MRP)支持规划和自动库存管理的软件解决方案。但是,大多数MRP软件解决方案都没有设计通过从数据中不断学习来优化工业组件库存水平。

BHC3库存优化considers several real-world uncertainties including variability in demand, supplier delivery times, quality issues with parts delivered by suppliers, and production-line disruptions. The application dynamically and continuously optimizes reorder parameters for industrial parts and equipment and minimizes inventory holding and shipping costs for each industrial part or product.

特征

Real-time recommendations

Real-time recommendations

Allows energy sector companies to get real-time recommendations to optimize reorder parameters by part and by location and keep them updated as new data is available.
实时监控

实时监控

View inventory metrics of industrial parts and equipment in real time to anticipate issues with inventory levels and get notified when certain KPIs exceed thresholds.
通过置信水平优化

通过置信水平优化

为任何工业部门提供最大可接受的库存风险,以优化建议。
Summary view for operators

能源运营商的摘要视图

查看库存节省日期,实际和优化库存按位置,优先考虑的高机会零件列表,导致更快的价值实现。
Detailed view of individual parts performance in the supply chain

个别零件性能视图

View details of individual industrial parts and equipment and compare a range of KPIs such as actual vs. optimal inventory and actual vs. recommended reorder parameters.
Benchmark parts performance

Benchmark industrial parts

Compare and benchmark different industrial parts or industrial suppliers over time using a range of KPIs such as OTIF, defect rate and average cost.
What-if scenario planning

“什么 - 如果是什么”的情景规划

在提交对系统的更改之前,定义方案并理解更改重新排序参数的潜在能源业务影响。
实时优化

Optimization with real-time data

Allows energy sector operators to dynamically optimize reorder parameters for industrial parts and equipment as new data is received and bidirectionally connect to source systems to update reorder parameters.
Scalability to millions of parts

Scalability to millions of parts

在公司的全球足迹中单独优化数百万工业部件的库存水平。

Demo

Testimonials

斯科特父母
斯科特父母

斯科特父母

VP,企业工程技术

“发现的球队被摄取是什么时候发生大约80%,大约1/10资源更快。”

Scott Fedor
Scott Fedor

Scott Fedor

数字转型领导者,全球供应链

“Baker Hughes C3.a188金宝搏官网下载i伙伴关系的价值来自我们既有域名的专家。”

188金宝搏官网下载Baker Hughes库存优化
188金宝搏官网下载Baker Hughes库存优化

188金宝搏官网下载Baker Hughes库存优化

好处

Reduce

Reduce inventory holding costs for industrial parts and equipment and improve cash flow without compromising part availability. Optimize reorder parameters for industrial components such as safety stock and safety time with necessary confidence levels.

Improve

Improve energy supplier management and negotiations through improved understanding of supplier performance. Simulate effects of changes in component order parameters on supplier performance KPIs.

增加

增加对季节性,抵达的批判能源部门的不确定性,抵达的不确定性,供应商,运输瓶颈和生产线中断的潜在质量问题。

Enhance

通过各个部门(例如,材料管理,物流管理,物流管理)的共同观点来提高工业行动的组织效率,导致与组织目标保持一致的工业部件和设备的优化库存。

获得

获得工业部分和设备的生产率inventory analysts through automated recommendations based on new data and live integration with operational systems. Consistently apply recommendations to supplier orders.

Minimize

由于供应链中减少库存,最大限度地减少包括标准和加急运输成本的工业组件库存的总降落成本。

BHC3库存优化数据源

BHC3库存优化aggregates data in theBHC3™AI套房from different disparate source systems including production orders (actuals and planned), product configurations, bills of material, inventory movements (e.g., arrivals from suppliers, consumption in a production line, intra- and inter-facility shipments), historical settings of reorder parameters, lead time and shipping costs from suppliers, and part-level costs for each location where industrial component inventory is maintained.

BHC3库存优化因素在几个现实世界不确定性,包括需求变异,供应商交货时间,供应商提供的工业部件的质量问题,以及生产线中断。该应用程序使用机器学习来分析可变性,动态和连续优化重新排序参数,并最大限度地减少每个项目的工业部件和设备库存持有和运输成本。

Model-driven architecture for BHC3 Inventory Optimization

Proven results in weeks, not years

时间线
Get insights into BHC3 capabilities, enterprise AI best practices and highest-value use cases.
Understand BHC3™ AI Suite's capabilities, its model-driven architecture and test it against your company's sample data set.
确定一个高影响的业务问题,并与BHC3团队合作,迅速构建解决它的AI应用程序。
规模并将测试的BHC3应用程序部署到生产中。合并用户反馈并优化算法以推动最大的经济价值。

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