IoE Increases Operational Efficiencies and Improves Energy Management
For many manufacturing companies today, the opportunity to connect people, process, data, and things created by the Internet of Everything (IoE) presents a new way to look at factory automation. The opportunity for digital innovation often arises when a company is expanding capacity or building a new production facility. Mahindra and Mahindra, one of India’s leading automakers, seized the opportunity to deploy a connected factory of the future at their new Chakan facility.
CiscoCisco designs and sells broad lines of products, provides services and delivers integrated solutions to develop and connect networks around the world, building the Internet. Over the last 30 plus years, they have been the world’s leader in connecting people, things and technologies - to each other and to the Internet - realizing their vision of changing the way the world works, lives, plays and learns. Today, Cisco have over 70,000 employees in over 400 offices worldwide who design, produce, sell, and deliver integrated products, services, and solutions. Over time, they have expanded to new markets that are a natural extension of their core networking business, as the network has become the platform for automating, orchestrating, integrating, and delivering an ever-increasing array of information technology (IT)–based products and services. Revenue: $49.2 billion (2015) NASDAQ: CSCO Subsidiaries/ Business Units: - Jasper - OpenDNS - CloudLock
Mahindra and Mahindra
- CONNECTIVITY PROTOCOLS
As they prepared for a brand new plant, Mahindra and Mahindra saw the opportunity to rethink the design of their manufacturing operations for greater flexibility and agility. Combined with their desire to embrace the latest technology, the company looked for a manufacturing process that used digital manufacturing tools and a high-level IT architecture for the plant. With the help of Cisco, Mahindra and Mahindra migrated from a traditional IT system to a dynamic, integrated, real-time and connected environment with unified communications. By automating all aspects of production— from top floor to shop floor, the company provides IT with visibility on all 20,000 IT and operational technology (OT) systems from the command center. Today, Mahindra and Mahindra have reduced their changeover time on the shop floor and improved quality as a result of discovering issues sooner. Better decisions are made due to more accurate and timely reporting, and connecting people and equipment on the factory floor over Wi-Fi has helped them with higher output. With a connected factory, Mahindra and Mahindra is embracing the IoE for better energy management and increased operational efficiencies, leading the company to produce state-of-the-art, environmentally friendly vehicles of the future.
- DATA COLLECTED
Connectivity Status, Energy Consumption Rate, Facility Management, Operation Performance, Production Efficiency
- SOLUTION TYPE
- SOLUTION MATURITY
Mature (technology has been on the market for > 5 years)
- OPERATIONAL IMPACT
Impact #1 [Efficiency Improvement - Operation]
Increased operational efficiency
Impact #2 [Efficiency Improvement - Energy]
Improved energy management
Impact #3 [Efficiency Improvement - Quality Assurance]
- QUANTITATIVE BENEFIT
- USE CASES
Factory Operations Visibility & IntelligenceVisualizing factory operations data is a challenge for many manufacturers today. One of the IIoT initiatives some manufacturers are pursuing today is providing real-time visibility in factory operations and the health of machines. The goal is to improve manufacturing efficiency. The challenge is in combining and correlating diverse data sources that greatly vary in nature, origin, and life cycle. Factory Operations Visibility and Intelligence (FOVI) is designed to collect sensor data generated on the factory floor, production-equipment logs, production plans and statistics, operator information, and to integrate all this and other related information in the cloud. In this way, it can be used to bring visibility to production facilities, analyze and predict outcomes, and support better decisions for improvements.