Technology Category
- Functional Applications - Transportation Management Systems (TMS)
- Networks & Connectivity - 5G
Applicable Industries
- Transportation
Applicable Functions
- Logistics & Transportation
- Procurement
Use Cases
- Inventory Management
- Supply Chain Visibility
Services
- System Integration
About The Customer
Schneider Electric is a global specialist in energy management and automation. The company provides integrated efficiency solutions, combining energy, automation, and software. Schneider Electric's customers span multiple industries, including energy and infrastructure, industrial processes, building automation, and data centers/networks, among others. The company's customers rely on Schneider Electric's technologies to manage energy and run processes in ways that are safe, efficient, reliable, and sustainable. To meet their needs, Schneider Electric manages around 360,000 shipments every year, moving 40,000 tons of products between its 220 factories, 103 distribution centers, and countless customers.
The Challenge
Schneider Electric, a global provider of energy management and automation solutions, manages around 360,000 shipments annually across seven global regions. The company's customers expect their orders to be delivered on time, in full, and in perfect condition. To meet these expectations, Schneider Electric needed to improve the performance of its global supply chain. This required efficient networks, reliable processes, capable logistics partners, and a smart approach to risk management. The company needed to be able to respond rapidly to any delays or disruptions in the supply chain and reassure its customers that their critical equipment was on its way. Schneider Electric's pursuit of excellence led the company to embark on a comprehensive supply chain transformation with the goal of significant improvements in efficiency, visibility, and risk management.
The Solution
Schneider Electric partnered with Everstream Analytics, a leading end-to-end supply chain risk analytics company, to transform its supply chain. Seven 'control towers' were established, one for each of Schneider's global supply chain regions. Each control tower uses fully customized Everstream software to visualize and monitor Schneider's supply chain in that region. The model incorporates the company's own facilities, those of its key suppliers, and critical transport nodes like ports, airports, and distribution hubs. The Everstream solution allows Schneider to continually monitor the performance of each regional supply chain, and an automated system alerts control tower staff and other relevant personnel if any shipments aren't moving smoothly through the network. The control towers are also linked directly to Everstream's Incident Monitoring service, which gathers data on potential supply chain risks from a wide range of internal and external sources. This data is fed into the supply chain model, providing staff with near-real-time information on any external events with the potential to cause delays or disruptions.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.
Case Study
Cold Chain Transportation and Refrigerated Fleet Management System
1) Create a digital connected transportation solution to retrofit cold chain trailers with real-time tracking and controls. 2) Prevent multi-million dollar losses due to theft or spoilage. 3) Deliver a digital chain-of-custody solution for door to door load monitoring and security. 4) Provide a trusted multi-fleet solution in a single application with granular data and access controls.
Case Study
Vehicle Fleet Analytics
Organizations frequently implement a maintenance strategy for their fleets of vehicles using a combination of time and usage based maintenance schedules. While effective as a whole, time and usage based schedules do not take into account driving patterns, environmental factors, and sensors currently deployed within the vehicle measuring crank voltage, ignition voltage, and acceleration, all of which have a significant influence on the overall health of the vehicle.In a typical fleet, a large percentage of road calls are related to electrical failure, with battery failure being a common cause. Battery failures result in unmet service agreement levels and costly re-adjustment of scheduled to provide replacement vehicles. To reduce the impact of unplanned maintenance, the transportation logistics company was interested in a trial of C3 Vehicle Fleet Analytics.
Case Study
3M Gains Real-Time Insight with Cloud Solution
The company has a long track record of innovative technology solutions. For example, 3M helps its customers optimize parking operations by automating fee collection and other processes. To improve support for this rapidly expanding segment, 3M needed to automate its own data collection and reporting. The company had recently purchased the assets of parking, tolling, and automatic license plate reader businesses, and required better insight into these acquisitions. Chad Reed, Global Business Manager for 3M Parking Systems, says, “With thousands of installations across the world, we couldn’t keep track of our software and hardware deployments, which made it difficult to understand our market penetration.” 3M wanted a tracking application that sales staff could use to get real-time information about the type and location of 3M products in parking lots and garages. So that it could be used on-site with potential customers, the solution would have to provide access to data anytime, anywhere, and from an array of mobile devices. Jason Fox, Mobile Application Architect at 3M, upped the ante by volunteering to deliver the new app in one weekend. For Fox and his team, these requirements meant turning to the cloud instead of an on-premises datacenter. “My first thought was to go directly to the cloud because we needed to provide access not only to our salespeople, but to resellers who didn’t have access to our internal network,” says Fox. “The cloud just seemed like a logical choice.”