#1. Suboptimal space utilization due to inefficient configuration of truckload
Optimizing truckload configuration in the cable manufacturing industry can prove challenging. Cable reels are cylindrical and vary in size and shape, making it difficult to place them optimally in truck containers. Moreover, cylindrical objects are prone to displacement when in transit. Therefore, it is necessary to secure them properly.
Additionally, some cable reels are very heavy, and as a result, the truckload configuration must be analyzed for stability. These factors made it difficult to identify the most optimal way to configure truckload while maximizing space utilization, directly impacting the shipment cost.
#2. Unwanted loading and unloading due to inability to account for delivery sequence
In multi-location shipments, the truckload configuration plays a key role in how efficiently the items pertaining to a shipment can be retrieved at the destination. Standard shipping containers typically open on one end. As a result, the last item to be loaded will be the first one out when unloading. This is also the case with truck loading ramps, where cable reels must be unloaded individually, following the Last In, First Out (LIFO) order.
The inability to account for the delivery sequence of shipments led to unnecessary loading and unloading at each site. This delayed the delivery process and added to the cost of deliveries while introducing the risk of handling-related damage.
#3. Overloading scenarios leading to fines and other transportation risks
Various routes have specific guidelines about the maximal permissible load on commercial vehicles. Due to a lack of visibility into the weight of the truckload, our client faced the risk of fines at checkpoints. Moreover, the inability to visualize the distribution of the truckload made it challenging to assess the stability of the container.
These challenges increased transport costs and made logistics workflows inefficient at our client’s organization.