Technology Category
- Analytics & Modeling - Predictive Analytics
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- E-Commerce
- Equipment & Machinery
Applicable Functions
- Procurement
- Warehouse & Inventory Management
Use Cases
- Additive Manufacturing
- Manufacturing Process Simulation
Services
- Data Science Services
About The Customer
Armor Express is one of the world’s leading designers, manufacturers, and suppliers of defensive armor systems. The company is based in Arlington, VA, United States, and operates in the manufacturing industry, specifically in the supply chain department. Armor Express is committed to protecting lives by providing high-quality body armor and other protective equipment to emergency services and armed forces. The company's products are designed to protect the wearer from blades, ballistics, and shrapnel, and each vest can contain up to 15 different items sourced from different suppliers worldwide.
The Challenge
Armor Express, a leading designer, manufacturer, and supplier of defensive armor systems, faced significant challenges in managing its supply chain. The company's products, which include body armor and other protective equipment, are composed of up to 15 different items sourced from various suppliers worldwide. Without the right data, matching raw material orders with customer fulfillment was a significant challenge, risking over- or under-purchasing and unnecessarily long lead times. The company's supply chain was previously managed through spreadsheets and the knowledge of its employees, leading to frequent inaccuracies in raw material purchases. These issues not only affected the company's efficiency but also had potential implications for the safety of the end-users of their products.
The Solution
Armor Express turned to predictive data analytics to address its supply chain challenges. After trialing several data platforms, the company chose Alteryx for its capabilities and performance. Jeff Gordon, Director of Procurement, Warehousing, and Analytics at Armor Express, built workflows to identify current open orders and develop a solid strategy for the future. With the help of the Alteryx Community and Marquee Crew, an approved Alteryx Partner, predictive models were built on the Alteryx platform. These models blend product SKU data with customer orders and manufacturing output, providing valuable demand and production data to Armor Express’ suppliers and helping them manage the supply of raw materials with greater accuracy. The company also integrated Alteryx with Microsoft Power BI, enabling decision-makers to quickly visualize key datasets on demand.
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
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
Robot Saves Money and Time for US Custom Molding Company
Injection Technology (Itech) is a custom molder for a variety of clients that require precision plastic parts for such products as electric meter covers, dental appliance cases and spools. With 95 employees operating 23 molding machines in a 30,000 square foot plant, Itech wanted to reduce man hours and increase efficiency.