What is a smart supply chain? Let it transform your business
Smart supply chains, characterised by Supply Chain 4.0, represent the next evolution of supply chain management. The goal is to create intelligent and responsive networks by emphasising real-time data, visibility, and connectivity between suppliers, manufacturers, distributors, and customers.
Supply chain disruptions, once sporadic and localised, have surged in frequency and severity in recent years. Manufacturers are facing increasingly frequent and impactful challenges from natural disasters, geopolitical events, trade tensions, and health crises. These challenges have become more complex to overcome. Many experts are already referring to the 2020s as “the most disruptive decade in supply chain history.”
The interconnected nature of global supply chains means that disruption in one region sends shockwaves across the entire network. Longer and more complex supply chains only increase the challenge of responding swiftly to disruptions or changing market demands.
Leading manufacturers are now challenging existing models and reassessing their supply chain strategies. Their aim is to become more resilient and drive down costs. This next evolution of supply chain management, characterised by the use of advanced technologies, is called Supply Chain 4.0.
Smart supply chain definition:
What is a smart supply chain and supply chain 4.0?
Smart supply chains, like Supply Chain 4.0, are the future of digital supply chains. They are built on analytical demand planning and sales and operations planning (S&OP)[2].
Most experts agree that Supply Chain 4.0 incorporates certain key technologies for the evolution of supply chain management. These include, but are not limited to:
- artificial intelligence (AI)
- augmented reality / virtual reality (AR / VR)
- autonomous systems and robotics
- blockchain
- cloud computing
- cybersecurity
- data analytics
- digital twins
- Internet of Things (IoT).
While these technologies aren’t necessarily new, recent advancements have unlocked a myriad of new applications.
Supply Chain 4.0, like other areas of smart manufacturing, requires access to real-time data. So, while the technologies that underpin Supply Chain 4.0 may be digital, physical assets are equally important. These include connected machinery, RFID tags, smart gadgets, and sensors.
This extends to warehouse automation solutions like sorting and conveyor systems, automatic storage and retrieval systems (ASRS). As well as, automated guided vehicles (AGVs) and autonomous mobile robots (AMRs). These physical assets integrate with the digital infrastructure, bridging the virtual and physical sides of the supply chain.
Supply Chain 4.0 is therefore closely related to Industry 4.0. Both concepts share the goal of harnessing advanced technologies to enhance efficiency, connectivity and agility within manufacturing and supply chain processes. Supply Chain 4.0 extends these principles beyond the factory floor and across the entire value chain. It aims to create intelligent and responsive networks by emphasising real-time data, visibility and connectivity between suppliers, manufacturers, distributors and customers.
So, now that we have covered the theory, in practice, how can smart supply chains such as Supply Chain 4.0 work?
Supply chain transformation: What are the benefits of smart supply chains?
Demand forecasting, route optimisation and inventory control are central to effective supply chain management. These interconnected processes help make supply networks more efficient, agile and customer-focused. Yet, many companies still use traditional methods that can't adapt to market changes and customer behaviour.
As a result, route planners often encounter ongoing disruptions that demand quick and frequent adjustments. Also, traditional inventory management often results in either overstocking or understocking, which contributes to higher waste and costs.
Smart supply chains leverage real-time data, advanced analytics, and automation by infusing demand forecasting, route optimisation, and inventory management. This integration enables a more responsive, adaptive, and efficient network.
What is demand forecasting?
Demand forecasting is the process of estimating future demand for products or services. It has traditionally relied on historical sales data, statistical models, and market trends.
However, this approach lacks agility and struggles to adapt to sudden shifts in consumer demand. Therefore, this leads to overstocking or understocking. Overstocking ties up capital and storage costs, while a lack of stock can result in unhappy customers and lost sales.
Advanced analytics and AI algorithms are used in a smart supply chain model to analyse vast datasets. These algorithms take into account customer behaviour, social media, and market trends. By identifying patterns, they are able to provide more accurate predictions. Real-time visibility lets you update market demand forecasts as conditions change.
What is route optimisation?
Route optimisation involves finding the most efficient path for transporting goods from production to distribution to end-users. However, it's important to note that historical data and static plans can easily become obsolete in unforeseen circumstances. Customer expectations for same-day or next-day deliveries only add to the pressure. Manufacturers need to ensure timely and flexible delivery options to remain competitive.
Smart supply chains have the ability to make dynamic changes. This ensures that routes remain optimised, even when faced with constantly dynamic variables.
Logistics managers can now monitor shipments minute-by-minute through real-time tracking. This is possible by using IoT devices, GPS, and advanced RFID tags. So, this allows them to continue to optimise transport routes based on current conditions.
Through predictive analytics, route planners can proactively see potential obstacles and make informed decisions that optimise networks and reduce delays. This approach not only ensures timely delivery but also contributes to strategic planning. Identifying trends and patterns that influence a company’s long-term supply chain strategy achieves this.
What is inventory management?
Inventory management is the strategic oversight of stock levels, ensuring optimal availability for fulfilment while reducing storage costs.
Typical methods of tracking and controlling stock levels often rely on periodic stock checks and manual reordering. However, this approach struggles to maintain the balance between having enough stock and having too much or too little. Lack of dynamic datasets also hinders traditional inventory management.
Recently, effective inventory management has become increasingly challenging. This problem is caused by a number of things:
- The rise of e-commerce
- The presence of entrenched information silos
- Companies carrying broader product portfolios.
Smart supply chains use smart automation and data-driven decision-making to simplify inventory management and ensure precise control over stock levels. The RFID tags on every item in the inventory allow for seamless communication with the centralised system. This enables real-time tracking and provides instant updates. Therefore, inventory managers have accurate, up-to-the-minute information, which lets them react quickly to any changes.
Predictive analytics transforms inventory management into a strategic tool rather than a reactive process, identifying patterns that enable inventory managers to optimise stock levels. Using automated reordering systems driven by AI and machine learning reduces the risk of errors and ensures timely stock replenishment.
By making these changes, manufacturers can achieve significant cost savings in transport and warehousing, administration, and stockholding. These improvements can lead to up to 30% lower transport and warehousing costs. As well as, between 50% and 80% lower admin costs, and up to a 75% reduction in stockholding. Also, these changes can greatly enhance business agility [3].
Linking industry 4.0 with supply chain 4.0
There is no doubt that supply chain 4.0 will bring a new level of resiliency and responsiveness. This is thanks to its advanced analytics and real-time visibility. Therefore, supply chain 4.0 will give companies a strong advantage in a highly competitive market.
However, these benefits can link back into the manufacturing arena. They can help minimise downtime by seamlessly integrating smart manufacturing with smart supply chains.
The rising adoption of predictive analytics, IoT sensors and interconnected systems is providing manufacturers with unique real-time insights into machinery health and performance. By having this foresight, you can make data-driven decisions and enforce predictive maintenance strategies. This will help you avoid sudden, costly machine downtime.
When machine downtime does strike, smart supply chains will prove crucial in rapidly addressing issues and restoring operations. With better visibility and openness, a digital supply chain's interconnected nature makes it easy to find faulty parts or systems quickly. Smart supply chains are essential for a streamlined process for sourcing replacement parts or equipment. Ultimately, this helps to reduce downtime in manufacturing and ensure that assembly lines keep moving smoothly.
Smart supply chain transformation requires trusted partners
Smart supply chains, driving supply chain transformation, have the potential to reform manufacturing. It achieves this by harnessing advanced automation, real-time data analytics, and AI systems.
The benefits of such an ecosystem offer manufacturers a means to thrive amid heightened uncertainty and supply chain disruption. It could also "close the loop" by linking smart supply chains and smart manufacturing processes. This can help reduce downtime.
Successful adoption of Supply Chain 4.0 is not simply a matter of adopting the right technologies. It will also need people to work together and form strategic relationships. Global suppliers, such as EU Automation, can serve as reliable logistics partners and technology providers for manufacturers. They help to build a networked ecosystem where information flows smoothly and spare parts are easy to find at the right time and place.
Companies can build a resilient operation that is ready to meet the supply chain demands of the future. This is achieved by incorporating advanced technologies, fostering collaboration, and embracing a forward-thinking approach.
Editor notes
