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Green logistics

Daniel Schilling,

Green supply chain with AI modeling

Companies want to calculate theirCO2 emissions correctly. Taking into account everyone involved along the supply chain and the emissions of the goods produced is challenging. But there are solutions.

In order to record the greenhouse gas emissions of the entire supply chain, all modes of transportation must be considered. © Phaisarnwong2517/stock.adobe.com

In order to reduce its ownCO2 emissions, a company must first be able to determine and calculate them, which requires a methodically clean approach. In this way, it is possible to quickly identify what can be influenced directly and what can only be influenced indirectly, and which levers could prove to be the most effective measures. The internationally recognized GHG Protocol is the central standard for measuring and calculating climate-damaging gas emissions.

It was developed by the World Resources Institute (WRI) and the World Business Council for Sustainable Development (WBCSD) to provide companies, governments and other organizations with a standardized methodology for measuring and reporting their greenhouse gas emissions.

Recording in three areas

An important first step is to record and divideCO2 emissions into three areas:

  1. direct emissions caused by the company itself, for example from its own power plants, kilns and company vehicles
  2. indirect emissions, such as those caused by the generation of purchased electricity. Even if these emissions are generated outside the company, they are still attributed to the company
  3. Upstream and downstream emissions: This refers to all greenhouse gas production that occurs along the supply chain and supplies raw materials and preliminary products.
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The options for reducing thecarbon footprint vary greatly depending on the industry. Direct emissions can be avoided by switching to renewable and climate-neutral energy supply and production. In the case of indirect emissions, on the other hand, it is more difficult, as this may require exerting influence on service providers and partners and may also lead to having to terminate contracts and find new suppliers.

Data collection: a complex task

The third area is the most difficult terrain, but accounts for around 75 percent of a company'sCO2 emissions on average. This is because calculating the carbon footprint requires data to be collected from many different partners and missing data to be consolidated and supplemented. This also applies to raw material extraction, processing and, of course, transportation. It is irrelevant whether goods are transported by plane, ship, truck or rail. Equally irrelevant are packing density, transport duration or how high the consumption of the container ship is. This data collection of all supplier products and supply chains is like a mammoth task, but it is already firmly anchored in numerous laws in individual countries or will soon be.

In addition, a number of suppliers are sometimes able to provide data due to legal requirements, but use different recording periods, levels of detail and reporting formats. This makes a transparent overall view and consequently the optimization ofCO2 emissions considerably more difficult.

Reporting: internationally recognized procedures

This is another reason why various international procedures and frameworks are used to determineCO2 emissions for all three areas mentioned above and, above all, to document them in legally binding reports.

The GHG Protocol is the most widely used and recognized framework for measuring and reporting all greenhouse gas emissions. For the logistics sub-sector, the Smart Freight Centre and the Global Logistics Emissions Council (GLEC) have developed a widely recognized methodology for measuring and reporting greenhouse gas emissions from logistics activities. It offers a global method for calculating and documenting emissions from company vehicles (direct emissions), as well as for upstream and downstream transportation logistics (upstream and downstream emissions).

This methodology harmonizes calculation rules and enables consistent comparability of greenhouse gas emissions between different modes of transport. It is the only globally recognized method of its kind in the multimodal supply chain and also meets the requirements of the GHG Protocol. The GLEC framework forms the basis of ISO standard 14083, which will also replace EU standard EN 16258.

Procedure for accurate data acquisition

The GLEC framework is based on reliable, precise and verified data. The associated data sources can be roughly divided into three areas:

  1. Average values typical for the industry: Typical assumptions are used for the calculation, which generally form a good basis for calculation, but logically cannot reflect the individual transportation of your own company. Changes, such as the use of more efficient means of transport or alternative routes, are hardly taken into account, meaning that these data can sometimes deviate significantly from reality.
  2. Self-collected, "primary" data is usually based on the consumption of fossil fuels such as petrol and diesel. As a company, it can be very time-consuming, error-prone and incomplete to determine this data precisely for every vehicle, ship and aircraft. This is because it is often not possible to determine data precisely. Sometimes the tracking technology also fails. In addition, this type of data acquisition is very time-consuming and costly.
  3. For modeled data, vehicle data and fleet information are used to calculate a model with regard to fossil fuel consumption and emissions. This includes, for example, drag coefficients and shipping schedules of container ships or milk run information, route details, fuel type and weight classes of trucks.
The GHG Protocol provides a methodical approach to recording CO2 emissions. © Thodonal/stock.adobe.com

Modeled data offers a wide range of possibilities for making carbon emission calculations more precise, but does not require 100% complete tracking data. This form of "data collection" is nevertheless more precise than the collection of primary data (which is inherently incomplete). In addition, modeled data makes it possible to extrapolate the results in order to play out what-if scenarios when changing the mode of transport. Overall, modeled data is more accessible and easier to use than primary data.

Specialized service provider for AI-supported climate data modeling

The modeling and collection of globally aggregated transport data from aircraft, ships and vehicles requires special expertise, tried-and-tested algorithms that use artificial intelligence and machine learning, among other things, as well as interfaces to various logistics systems. AI-supported algorithms can supplement missing data sensibly and realistically, consolidate contradictory data and thus raise it to a uniformly high level of quality.

Shippeo, a company specializing in such calculations, uses a database based on information from various sources:

  • TMS, ERP and WMS data
  • Telematics information
  • Data from publicly accessible websites (via web scraping)
  • Ship line information
  • Satellite data (via an AIS)
  • Schedule data from container ships

For quality assurance purposes and to supplement missing data, Shippeo also requests data from the data specialist Searoutes, which can provide a wide range of information on ship coordinates, weight, container types or truck size (worldwide). The AI-based algorithms use this data to calculate reliable and certified greenhouse gas information for the entire company, thereby relieving the burden on internal sustainability management.

Customers of the solution can evaluate and analyze the results directly via a web-based solution and test them in various alternative scenarios. An extensive API also allows the solution to be integrated into existing warehouse management, transport management and ERP systems.

Advantages for companies

CalculatingCO2 emissions with the help of an experienced specialist has several advantages: on the one hand, it increases the accuracy of the calculations and thus creates legal certainty in the face of increasingly stringent legal regulations (and thus avoids fines).

On the other hand, it enables those responsible to reduceCO2 emissions consistently and in a targeted manner, while saving costs in the provision of human resources required for data collection and evaluation. As a result, the company can position itself to customers and investors as climate-conscious and make its contribution to reducing the burden on the environment.

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