Case Studies Case Study Supply Chain Risk Management at Swiss Steel

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	Case Study Supply Chain Risk Management at Swiss Steel

Case Study Supply Chain Risk Management at Swiss Steel

Technology Category	Analytics & Modeling - Predictive Analytics Functional Applications - Enterprise Resource Planning Systems (ERP) Networks & Connectivity - Network Management & Analysis Software
Applicable Industries	Metals
Applicable Functions	Logistics & Transportation Procurement Quality Assurance
Use Cases	Predictive Maintenance Real-Time Location System (RTLS) Supply Chain Visibility
Services	Data Science Services System Integration Training
Challenge	Swiss Steel faced significant challenges in ensuring supply security due to various risks in the supply chain. Traditional methods of monitoring financial stability and country risk ratings were insufficient. The company needed a comprehensive approach to monitor all potential risks, including supplier, location, and country risks. Information procurement was cumbersome and time-intensive, leading to an unsatisfactory feeling concerning supply security. Read More
About Customer	Swiss Steel is a leading company in the steel manufacturing industry, known for its high-quality products and extensive global supply chain. The company has been proactive in addressing supply chain risks to ensure uninterrupted operations. With a focus on innovation and quality, Swiss Steel has implemented advanced risk management solutions to maintain its competitive edge in the market. The company operates on a global scale, dealing with numerous suppliers, subcontractors, and logistics hubs, making risk management a critical aspect of its operations. Read More
Solution	Swiss Steel implemented an automated, multidimensional risk management solution called 'Supply Risk Network' from riskmethods. This solution covers the entire supply chain, performing 'n-tier' modeling for all risk objects, including suppliers, subcontractors, locations, and countries. The system monitors various types of risks, such as compliance, quality, price fluctuations, natural disasters, strikes, and political risks. It generates information from numerous linked databases and searches over 300,000 online sources, offering a high degree of automation. The tool functions as both an early warning system and a means to assess latent risks, enabling Swiss Steel to take preventive actions and respond to crises in real-time. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Functional Applications - Enterprise Resource Planning Systems (ERP)

Networks & Connectivity - Network Management & Analysis Software

Applicable Industries

Metals

Applicable Functions

Logistics & Transportation

Procurement

Quality Assurance

Use Cases

Predictive Maintenance

Real-Time Location System (RTLS)

Supply Chain Visibility

Services

Data Science Services

System Integration

Training

Challenge

Swiss Steel faced significant challenges in ensuring supply security due to various risks in the supply chain. Traditional methods of monitoring financial stability and country risk ratings were insufficient. The company needed a comprehensive approach to monitor all potential risks, including supplier, location, and country risks. Information procurement was cumbersome and time-intensive, leading to an unsatisfactory feeling concerning supply security.

About Customer

Swiss Steel is a leading company in the steel manufacturing industry, known for its high-quality products and extensive global supply chain. The company has been proactive in addressing supply chain risks to ensure uninterrupted operations. With a focus on innovation and quality, Swiss Steel has implemented advanced risk management solutions to maintain its competitive edge in the market. The company operates on a global scale, dealing with numerous suppliers, subcontractors, and logistics hubs, making risk management a critical aspect of its operations.

Solution

Swiss Steel implemented an automated, multidimensional risk management solution called 'Supply Risk Network' from riskmethods. This solution covers the entire supply chain, performing 'n-tier' modeling for all risk objects, including suppliers, subcontractors, locations, and countries. The system monitors various types of risks, such as compliance, quality, price fluctuations, natural disasters, strikes, and political risks. It generates information from numerous linked databases and searches over 300,000 online sources, offering a high degree of automation. The tool functions as both an early warning system and a means to assess latent risks, enabling Swiss Steel to take preventive actions and respond to crises in real-time.

Impact #1	Swiss Steel now has a comprehensive view of risks across its entire supply chain, allowing for proactive risk management.
Impact #2	The automated system significantly reduces manual maintenance, freeing up resources for other critical tasks.
Impact #3	The early warning system provides real-time information on crises, enabling quick and appropriate responses.

Impact #1

Swiss Steel now has a comprehensive view of risks across its entire supply chain, allowing for proactive risk management.

Impact #2

The automated system significantly reduces manual maintenance, freeing up resources for other critical tasks.

Impact #3

The early warning system provides real-time information on crises, enabling quick and appropriate responses.

Benefit #1	The system offers almost 100% automation, reducing manual maintenance to nearly zero.
Benefit #2	The tool searches over 300,000 online sources for risk information.

Benefit #1

The system offers almost 100% automation, reducing manual maintenance to nearly zero.

Benefit #2

The tool searches over 300,000 online sources for risk information.

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Overview

Case Study Supply Chain Risk Management at Swiss Steel

Operational Impact

Quantitative Benefit