Managing the supply chain is an extremely complex task. In recent years, the development of globalization, geopolitical instability, technological progress, and increasing consumer demand have made supply chain management more complex. Many factors contribute to the complexity of supply chain management, making artificial intelligence (AI) and machine learning (ML) necessary tools for effectively addressing the challenges of modern supply chain management.

In terms of supply chain planning,

what is the urgent demand for artificial intelligence (AI) and machine learning (ML) in the market?

Due to a series of internal challenges (lack of visibility, collaboration, agility, increasing complexity, manual processes, etc.) and external challenges (extreme weather, financial crises, trade disputes, etc.), supply chain optimization faces various complex mathematical problems.

These complex challenges include combinatorial explosion, high-dimensional space, real-time adaptation, uncertainty modeling, large-scale linear and nonlinear programming, integer programming, and multi-objective optimization.

Artificial intelligence and machine learning use advanced mathematical and statistical methods such as linear programming, mixed integer programming, dynamic programming, and neural networks to solve these complex problems. With the help of these technologies, efficient optimization of the supply chain, data-driven decision-making, and real-time adaptation can be achieved. Enterprises can now use advanced optimization to solve supply chain challenges without the need for manual or spreadsheet based processes.

The application scope of artificial intelligence in the supply chain

Artificial intelligence will completely revolutionize the scope of supply chain management, helping us move from the era of digital maturity to the era defined by 'intelligent automation'. In the past three decades, our focus has always been to realize the digitalization of the supply chain, optimize operations and improve transparency by using computers, software and the Internet. This digitization has already produced significant benefits in terms of efficiency and transparency.

However, with the increasingly volatile and unpredictable development of the market, we clearly need more adaptive and forward-looking methods. Imagine that the operation of the supply chain is as advanced as highly intelligent robots. It can not only follow pre-defined plans, but also predict future events, make real-time decisions, and continuously optimize itself. This transformation represents a disruptive leap beyond digital upgrading and ushers in a new era of supply chain management.

The Value Proposition of Dassault Systemes DELMIA

Although artificial intelligence (AI) can provide valuable insights and predictions, understanding and interpreting the intelligence generated by AI is not always easy for users, and taking practical measures based on this intelligence may be challenging.

DELMIA has a unique approach and value proposition in this regard: it combines optimization techniques supported by artificial intelligence (AI) with machine learning (ML) and virtual twin technology to create comprehensive solutions that effectively address these challenges.

With DELMIA's integrated approach, users can gain a deeper understanding of the capabilities of artificial intelligence (AI). The combination of artificial intelligence (AI) and machine learning (ML) enables systems to continuously learn and improve from processed data. This self-learning feature can enhance the value of intelligence, making it easier for users to access and more feasible. At present, we have provided assistance to clients from different industries, including industry-leading metal manufacturers, global beverage producers, and leaders in the global energy and telecommunications fields.

Explore how to utilize artificial intelligence and virtual twins,

Release supply chain resilience

In the e-book on supply chain resilience, we explore the different stages of development that companies go through in achieving supply chain resilience. In this e-book, we will explore how to truly transform the supply chain from digital to automated. In addition, we will also explore the role of artificial intelligence, optimization, and virtual twins in achieving automated supply chains.

Contact us and download the e-book "Unleashing Supply Chain Resilience with Artificial Intelligence (AI) and Virtual Twins" from Dassault Systemes DELMIA for detailed information:

1. The urgent need for artificial intelligence and machine learning in supply chain planning

2. The application scope and use cases of artificial intelligence in the supply chain

3. Future development prospects

4. DELMIA can provide assistance and value to manufacturing enterprises

Source: Dassault Systemes