Doing everything manually is not a good idea. There are a lot of factors to consider, from cargo requirements and vehicle characteristics to how you group destinations together. With a traditional, manual approach to load and route planning, you end up with a lot of operational overhead. Even in a mid-sized company, you probably need multiple people on the job, especially if you still rely on older solutions, or worse, Excel spreadsheets.
That means you have to manually audit and adjust any generated plan. Even if you have a dedicated team planning your routes, these routes are rarely efficient. Your drivers will spend unnecessary working hours and gas by following these directions.
Instead of handling load planning and route optimization separately with different tools and spreadsheets, your company will see the biggest ROI by combining both. By combining load planning with route optimization , you get the benefit of increasing the efficiency of your routes and always loading the right cargo in the ideal order. The new functionality and planning process allows them to handle higher demand without increasing their fleet or workforce. No more manual number crunching is necessary for mapping out the most efficient delivery route or picking the right truck and driver for a load.
Bee Imagine , a third-party logistics 3PL provider based in Southern California, uses OptimoRoute to cut down on labor costs, and quickly adjust to last-minute orders and instructions from clients. Fewer vehicles and drivers on the road for a shorter amount of time mean significant cost-savings per load and higher profit margins. By taking a holistic approach to optimizing your routes and loads, your drivers can unload their cargo load in fewer stops.
There are a long list of critical safety issues which require putting limitations on the gross weight, axle weights, the weight distribution across the length of a vehicle, and the weight distribution across a minimum number of axles. So as you can see, it's critical in so many ways to make sure that the weight limits are followed in strict accordance with the law. It is incredibly dangerous to overload a vehicle or have the weight improperly distributed across the axles. A set of axles spaced close together, legally defined as more than 40 and less than 96 inches apart by the USDOT.
Drivers tend to refer to the tandem axles on their trailer as just "tandems". You might hear a driver say, "I'm pounds overweight on my tandems", referring to his trailer tandems, not his tractor tandems. Tractor tandems are generally just referred to as "drives" which is short for "drive axles". Did you know you can fill out one quick form here on TruckingTruth and apply to several companies at once for paid CDL training? The application only takes one minute. You will speak with recruiters today.
There is no obligation whatsoever. Trying to manually plan a railcar that contains over fifteen different SKUs would normally take a few hours; using Load Xpert, this same railcar can be planned in less than five minutes. As well, the visual point of reference enables the pickers better and reduces the loading time. Since that time, the software kept improving and allowed us to generate some savings on several aspects:".
Increased the possibilities of mixing orders from different machines together inside the same vehicle for the same destination". The software allows us to minimize the amount of dunnage material we are using while conforming to the current cargo securement standards. This will without a doubt ease our transition with all the planned retirements for the next few years in our mill. Dir ector also supports several applications servers: Tomcat v5. GLB Director is a Layer 4 load balancer which scales a single IP address across a large number of physical machines while attempting to minimise connection disruption during any change in servers.
GLB Director does not replace services like haproxy and nginx, but rather is a layer in front of these services or any TCP service that allows them to scale across multiple physical machines without requiring each machine to have unique IP addresses. Over the years it has become the de-facto standard opensource load balancer, is now shipped with most mainstream Linux distributions, and is often deployed by default in cloud platforms.
The Linux Virtual Server is a highly scalable and highly available server built on a cluster of real servers, with the load balancer running on the Linux operating system.
The architecture of the server cluster is fully transparent to end users, and the users interact as if it were a single high-performance virtual server. Load Balancer Project is an attempt of write a tool that allows to balance request using clusters of servers. The goal is to archieve high availability, load balancing with a simple configuration for the load balancer, and the network topology. Neutrino was build keeping the above requirements in mind.
It is build in Scala language using Netty Server. It can do L7 routing using canonical names, url context and rule based.
It has highly extensible pipeline architecture so that, new modules can be hooked into the pipeline without much work.
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