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ERP Systems for SCM Part 3 of 4: Additional ERP Software Functionality in Supply Chain Management

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ERP Systems for SCM Part 3 of 4: Additional ERP Software Functionality in Supply Chain Management

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Key Takeaways:

  • There is additional functionality available for ERP software that can increase the effectiveness of ERP systems including cloud-based software, edge computing, and artificial intelligence (AI).
  • Utilizing enhancements to your ERP system can create a custom solution that dramatically reduces production costs and improves efficiency.
  • This is part 3 in a 4-part series on ERP systems in manufacturing supply chains. Links to other blog posts can be found below.

Cloud-based ERP systems

Many cloud-based ERP solutions offer greater scalability, flexibility, and cost-effectiveness than traditional ERP systems. These systems easily integrate with other cloud applications which enhances innovation. Cloud-based ERP allows businesses to scale as needed without additional infrastructure. This is possible because these systems offer flexible deployment options like public, private, or hybrid clouds. Hosted on platforms like AWS or Microsoft Azure, cloud ERP solutions adapt to changing business demands.

Mobile accessibility is another key advantage because employees are able to access ERP features no matter where they are. Usually, the subscription-based pricing model spreads costs over time which reduces upfront expenses and frees up resources for other priorities.

Artificial Intelligence (AI)

Artificial Intelligence (AI) can enhance predictive analytics and automation within ERP systems which improves overall business intelligence. A primary advantage of AI is the ability to automate repetitive tasks such as data entry, invoicing, and inventory management. This increases efficiency and reduces manual errors. Additionally, AI-powered chatbots can handle customer service inquiries, streamlining communication processes.

Robotic Process Automation

Robotic Process Automation (RPA) further complements these technologies by automating rule-based processes across various business functions. RPA can optimize operations by handling tasks like order processing and data extraction in supply chain management. Combined with AI, RPA enables algorithms to predict demand fluctuations and adjust inventory levels accordingly. This leads to more responsive and effective supply chain strategies that help businesses adapt quickly to changing market conditions.

Blockchain

Blockchain is a decentralized, distributed ledger that securely records transactions across a network, significantly impacting supply chains by increasing transparency, security, and efficiency. One of its core benefits is transparency; all transactions on the blockchain are accessible to participants in the network. This allows organizations to track the movement of assets in real-time. This promotes visibility and accountability throughout the supply chain and facilitates effective inventory management.

Additionally, blockchain technology helps mitigate data manipulation and fraud. Since data is encrypted and distributed across multiple nodes, it becomes nearly impossible for unauthorized parties to alter transaction records. When integrated into an ERP system, blockchain strengthens supply chain security by safeguarding sensitive information and minimizing the risk of theft. These benefits reduce costs, boost employee productivity, and improve customer satisfaction.

Digital Twin

In the context of a manufacturing supply chain, a digital twin refers to a digital replica of a machine or production process. By leveraging IoT technology, organizations can monitor real-time data from sensors installed on equipment and simulate various scenarios to uncover optimization opportunities. This valuable insight allows companies to enhance asset utilization and streamline manufacturing operations, ultimately improving efficiency and productivity.

Edge Computing

Edge computing is increasingly being integrated into cloud ERP systems to enhance performance in manufacturing environments that depend on real-time data. This technology is particularly beneficial for processing IoT-based data, allowing for immediate actions to be taken on the factory floor.

Edge computing can be applied to monitor production equipment, ensure quality control, and optimize energy usage in near real-time. By processing data closer to the source, manufacturers can quickly respond to issues, improve operational efficiency, and reduce downtime. This ultimately leads to more effective and agile manufacturing processes.

Zero Trust Architecture

Leading ERP providers are integrating zero-trust frameworks to bolster data security in manufacturing. This approach assumes no entity is inherently trustworthy and is crucial for protecting intellectual property and customer data. It also helps mitigate cyber attacks, minimizes operational disruption and mitigates impacts.

Zero trust models can safeguard proprietary designs, prevent unauthorized access to production data, and ensure regulatory compliance. can significantly reduce the risk of breaches, disruptions, and protect their critical assets by verifying identities in real-time and granting role-based access.

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If you are interested in discussing how any of the above ERP system features could assist your business, feel free to reach out to one of our partners listed below. We would be delighted to discuss your company's ERP/SCM requirements with you.



 

Published: 12/05/2024

Readers should not act upon information presented without individual professional consultation.

Any federal tax advice contained in this communication (including any attachments): (i) is intended for your use only; (ii) is based on the accuracy and completeness of the facts you have provided us; and (iii) may not be relied upon to avoid penalties.

 

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