Logistics Redefined – The Power of the Internet of Things
IoT holds a vast number of use cases for the logistics industry. This shouldn’t come as a surprise, many visions of the future paint pictures of everything being connected: Humans, cars, products, and even roads.
Even if the opportunities offered by IoT technology are endless in variety and complexity, the definition of the term is simple. IoT is the interconnection via the Internet of computing devices embedded in everyday objects, enabling them to send and receive data.
The idea of smartly connecting all the links of a value chain, while all components within those links exchange data automatically, holds massive potential for supply chains. Most of all in terms of operational effectiveness, but IoT has so much more to offer.
Gaining Insights Automatically with IoT
The goal of connecting different elements of complex systems is to make those elements listen, gather information, and communicate with each other to work more effectively together. Another important point that makes IoT technology so valuable, is the ability to gain insights into the workings of these components. Analyzing this data then allows us to improve systems, equipment, and processes.
But how and where can the logistics industry apply this technology effectively?
1. Shipment Tracking and Condition Monitoring
IoT technologies have tangible optimization potential for shipment tracking and condition monitoring. In this case, position sensors enable the tracking and tracing of shipments in real-time, both in-facility and in-transit. This allows for a holistic picture of the shipping process. Therefore, tracking via position sensors can enhance transparency in supply chain operations.
Condition sensors can also help monitor and document the environmental conditions of shipments (e.g. temperature and humidity), which is particularly crucial for the safe delivery of sensitive goods such as medical products.
2. Yard Management
Smart sensors secured on vehicles, material handling equipment (e.g. fork-lifts), and in buildings (e.g. at docks of warehouses) can improve yard operation efficiency. But what would that look like?
A truck is identified by license plate recognition systems when it enters the yard. Based on the sensor information from docks and doors, the smart yard-management system recognizes which docks are available and assigns them to the vehicle. Then, the forklift driver is notified via an app to enable a seamless dock operation. Consequently, the unload time is reduced and the accumulated data analyzed to assess general operational efficiency.
IoT technology can also enhance safety. Sensors detect hazardous situations (e.g. forklift collision accidents) and warn the driver – or even slow down the vehicle or material handling equipment.
3. Predictive Maintenance
One of the most praised application areas of IoT for numerous industries is predictive maintenance. It is based on the idea that advanced predictive analytics can enhance the planning of supply chain equipment. This is, for example, achieved through sensors that detect the condition of in-service equipment and machines.
When the equipment or machine reaches a critical stage in its lifecycle, operations personnel are warned that maintenance is required. This way, maintenance windows can be narrowed down. As a result, the machines work more efficiently, which also reduces equipment costs.
IoT based predictive maintenance could also control spare parts supply. When a machine is about to break down because of a failing component, a spare part can be proactively selected, shipped from the warehouse to the needed location, and delivered before the machine stops working.
The IoT Vision: A Fully Automated, Self-Controlled Supply Chain
IoT is already present in the logistics industry. However, we still have to grasp the full potential that it holds for us. Let me give you a few examples:
- In the long run, IoT is likely to enable a fully automated smart supply chain. Ordering processes would be triggered by smart sensors, warehouse transactions fully controlled by smart sensors and executed by connected actuators, and fully automated transportation monitored by IoT platforms that independently react to external events.
- Machine learning enabled demand sensing analytics based on IoT technology will be able to provide even deeper insights into customer demands. This, in turn, will enable further optimization of the supply chain.
- Machine learning enabled, independent system control will likely drive the supply chain from a purely automated to a self-controlled system. Such a system requires almost no human interaction. Examples include the automatic planning, triggering and re-routing of transport based on machine learning-enabled risk prediction, also without any human interaction.
IoT will be the backbone of a fully digitalized supply chain. It will enable further innovations that have the power to fundamentally change the design of supply chain models. From site level, e.g. further advanced, self-controlled (autonomous) warehouse operations equipment, to network level, e.g. enabling a fully connected self-controlled value chain, the possibilities are vast.
As business leaders, we should all embrace the great opportunities which IoT offers to stay ahead of the curve. It is important to understand that focusing exclusively on isolated use cases will not be enough. We need a holistic approach to tap into the full IoT potential.
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Welcome to Sabinext. I’m Sabine Mueller, CEO of DHL Consulting. DHL Consulting is an independent strategic supply chain and management consultancy of Deutsche Post DHL Group. I have been dedicated to the logistics sector for close to two decades. This personal blog is a discussion platform for supply chain trends, diversity and future of work.