Cisco Case Studies Leading Tools Manufacturer Transforms Operations with IoT
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Leading Tools Manufacturer Transforms Operations with IoT

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Leading Tools Manufacturer Transforms Operations with IoT - Cisco Industrial IoT Case Study
Networks & Connectivity - RFID
Networks & Connectivity - Wireless Local Area Network
Equipment & Machinery
Discrete Manufacturing
Real-Time Location System (RTLS)

Stanley Black & Decker required transparency of real-time overall equipment effectiveness and line productivity to reduce production line change over time.

The goal was to to improve production to schedule, reduce actual labor costs and understanding the effects of shift changes and resource shifts from line to line.

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Stanley Black & Decker, an S&P 500 company, is a leading global provider of hand tools, power tools and related accessories, mechanical access solutions, electronic security and monitoring systems, with 52,000 employees worldwide.
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Stanley Black & Decker
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Stanley Black & Decker’s fully connected production lines deployed Real-Time Location Systems (RTLS), powered by Cisco’s robust wireless network and AeroScout Industrial’s leading enterprise visibility solutions.

The RTLS includes small and easily deployed WiFi RFID tags that attach to virtually any material and provide real-time location and status to assembly workers, shift supervisors, and plant managers.

Hardware Components - Cisco Wi-Fi infrastructure and plantwide Ethernet

Software Components - AeroScout Real-Time Location System (RTLS)

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Asset Status Tracking, Control System Alert, Overall Equipment Effectiveness, Product Lifecycle, Production Efficiency
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[Efficiency Improvement - Operation]
Issues are indicated to line operators immediately through Cisco Unified Wireless Network which allowed faster decision making.
[Efficiency Improvement - Labor]
Employee efficiency increased through Cisco Unified Wireless Network by provided better labor ergonomics and reduced labor training.

Cisco Unified Wireless Network provided 24% increase of overall equipment effectiveness (OEE) on the router production line.

First-time pass defects per million opportunities (DPMO) reduced by 16%.

New system has increased throughput by around 10% and reduced inventory or material holding costs by 10%.

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