公司规模
Large Corporate
地区
- Asia
国家
- India
产品
- Blue Yonder’s Luminate Planning platform
技术栈
- Automation
- Machine Learning
实施规模
- Enterprise-wide Deployment
影响指标
- Revenue Growth
- Productivity Improvements
- Customer Satisfaction
技术
- 平台即服务 (PaaS) - 数据管理平台
- 分析与建模 - 预测分析
适用行业
- 汽车
- 设备与机械
适用功能
- 物流运输
用例
- 库存管理
- 补货预测
- 需求计划与预测
服务
- 数据科学服务
- 系统集成
关于客户
Mahindra & Mahindra Farm Equipment 是市值 200 亿美元的 Mahindra 集团旗下的子公司,也是全球销量第一的拖拉机公司。其汽车业务几乎涉及该行业的每个领域。该公司的备件业务部门 (SBU) 通过先进的采购、装配、仓储和配送能力提供正宗的汽车和拖拉机备件。由于库存投资高,SBU 面临着缺货和营运资金紧张的挑战。该业务部门依靠手动分析和 Excel 电子表格来制定供需计划,但这些计划不足以应对挑战的复杂性和规模。
挑战
Mahindra & Mahindra 农用设备公司是价值 200 亿美元的 Mahindra 集团旗下子公司,是全球销量第一的拖拉机公司。其备件业务部门 (SBU) 通过先进的采购、装配、仓储和配送能力,提供正宗的汽车和拖拉机备件。然而,由于高库存投资导致缺货和营运资金紧张,SBU 的销售收入正在下降。该公司过去依靠人工分析和 Excel 电子表格来制定供需计划,但它们不足以应对挑战的复杂性和规模。为了提高响应能力并确保为不同的需求模式提供备件,Mahindra 寻求 Blue Yonder 的专业知识和先进技术来优化其零件库存,涵盖 100,000 个 SKU 和 21 个配送中心。
解决方案
Mahindra 实施了 Blue Yonder 的 Luminate Planning 平台,充分利用了关键需求预测、库存管理和补货计划功能的优势。科学的预测方法和多级库存模型提高了预测准确性并优化了库存水平,从而提高了客户服务水平、减少了库存投资并增加了销售收入。劳动密集型流程、脱节的系统和基于 Excel 的计划工作表已被 Blue Yonder 的计划平台和 Mahindra 的执行系统之间的集成、自动化数据交换所取代。这使 SBU 能够以有组织且一致的方式计划、执行和交付货物。实施后,SBU 的预测准确度总体提高了 10%。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
Case Study
Data Gathering Solution for Joy Global
Joy Global's existing business processes required customers to work through an unstable legacy system to collect mass volumes of data. With inadequate processes and tools, field level analytics were not sufficient to properly inform business decisions.