Fewer trucks
on the road means lower costs
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on the road means lower costs
in the best possible way
during the early stages of the planning process
Companies that spend $50-100 million or more on transportation per year can save between 5-10% of these costs
Optimal truck loads as early as possible to optimize your distribution costs.
Let us show you how our software can help you
This toolset – as shown in the graphic “SAP ERP and SAP APO basic setup“ beside – might be suitable for companies that ship a few truckloads of goods per day. But manufacturing companies that ship dozens or even hundreds of daily truckloads quickly run into limitations. This is because SAP APO and TLB are not equipped to deal with more complex constraints like axle weights, stacking rules, allowed orientations and other business-specific rules. In such cases, you can benefit greatly by using more advanced pallet and load building optimization software. Even small improvements in truck load fills can result in millions of dollars in savings. In this article, we discuss four scenarios our customers use to lower planning and transportation costs when planning cargo space. They achieve this by extending SAP ERP with the advanced load building optimization features in ORTEC for SAP.
Scenario 1:
So, to avoid this and create a buffer for uncertainty in load calculations, trucks are typically planned to be about 90% full. But that extra 10% can make a huge difference when you have high transport costs.
To achieve savings, our customers combine deliveries in such a way that the minimum number of transportation units (trucks, overseas containers, rail cars or other) is used to fulfil sales orders. Using advanced logistics optimization technology, they can automatically identify optimal delivery splits to increase load fills.
The same method can be applied for deliveries to the same location (where no milk runs, or route optimization is required). For example, deliveries created from Stock Transport Orders to replenish distribution centers. This flow is depicted in graphic: Scenario 1. Optimization based on Deliveries.
Scenario 2:
In cases where the company uses SAP Transportation Management the Scenario can look a bit different. Instead of Shipments in SAP ERP, they can create Freight Orders in SAP Transportation Management – see in graphic above. Similar combinations with SAP Transportation Management are viable in the other scenarios as well. SAP APO fits in this scheme as well but has been left out of the picture for clarity. See flow in graphic: Scenario 3 including SAP Transportation Management.
The optimization opportunities are the same. For instance, instead of using 3 trucks for 3 deliveries, each with a load fill of 60%, you could split one delivery into 2 and use 2 trucks, each with a 90% load fill. With the advanced load building optimization features in ORTECs software for SAP, planners can assess the ideal volume and weight to use in each load combination. Combining heavy and light loads together can also contribute to cost savings.
Case Study
Layher, a leading provider of scaffolding systems and other construction equipment, is using this method to plan their daily transports and load containers to full capacity. Our SAP-integrated software supports Layher by enabling flexible load and pallet planning at the line item level, while taking Layher-specific loading rules into account. Transport planners can adjust the loading proposal by adding or removing line items where necessary and can decide to approve planned tours on an individual basis. 3D visualization also allows them to automatically create optimally loaded trucks. The final optimized cargo space planning is available immediately and can be easily communicated and shared.
Scenario 4:
A potential problem with creating STOs first and then running advanced optimization is that the product can be locked too far in advance, creating artificial shortages. For example, if you generate an STO for a high priority order locking stock that needs to be delivered in two-week’s time, you’re not able to use that product for other earlier deliveries.
Instead of using STOs as input for load building optimization, as described in the previous scenario, you can use stock transport requisitions (STR) based on deployment requisitions (DepRecs). Deployment requisitions are requests that come from a warehouse when they need inventory to service customers or replenish stock levels. When you use STRs as the input for logistics optimization, you will get optimized transport orders (STO) as output. This means you will assign the right amount of product to the right shipment from the start. You don’t only get an optimal load building configuration, but can also schedule deliveries and shipments automatically, as you’ll have the right amount of stock on hand. See flow in figure: Scenario 4 Load Optimization based on Stock Transport Requisitions.
When you optimize your pallet and load building early in the process, you get an overview of everything that needs to be transported. This makes it easy to identify if there are shortages as well. In such cases, you can either let the planner decide who gets what or set up some rules to divide and assign available products automatically. The advantage of using optimization before assigning STOs is that you remove tedious activities in SAP. It means you can avoid manually removing STOs from SAP and reassigning stock manually. The exact setup depends on the way SAP is configured and used in your company. Scenario 1. Optimization based on Deliveries.
Manufacturing Business Development
Mobile: +44 7921 295262
Mail: neil.cochrane@ortec.com
Our 3PL does all the planning. So, what can we do to optimize the planning?
The value of 3PL is the combination of different orders, possible of different customers and optimized in that way. However, when presented with a 90% load there is not much they can do – the company creating the orders cannot accurately size the order to a 100% full truck load and reduce transportation costs. For further reading ORTEC | How to Use Big Data and 3D Load Building to Control Transportation Costs
How do we save money with limited organizational changes with our less than full truck load flows?
Including accurate pallet and load optimization functionality directly on sales orders allows to order the exact required transportation capacity – in effect eliminating buying excess space or last minute (expensive) additional transportation capacity.
Our main concern is finding the people who can do the logistic planning. How can this help with that?
The logistic software can run completely or partly in batch thus reliving the planners for tedious jobs to focus on the exceptions. This reduces the required effort needed to create optimal plan proposals.
We have a well-oiled operation and according to our KPI’s we are running at full capacity. So, what can this solution add?
In our experience it is useful to take a close look at the exact calculation of KPI’s. The KPI is measured against this reduced maximum capacity masking the potential savings. For further reading ORTEC | How reliable are load fill KPI’s anyway?
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