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This book shows how digitization of your own fleet can be used to achieve efficiency gains, particularly in the bakery, construction logistics, brewing, vehicle transport, fresh food, beverage wholesale, food wholesale, oil, mill, recycling, plumbing supplies, and textile services industries. The various methods of route optimization and the subsequent cost calculation per transport unit and for each individual customer stop are the main focus of the book. Dr. Jürgen Stausberg describes how the changes associated with digitization can be communicated to dispatchers, controllers, planners and drivers based on his many years of experience as an expert.
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Seitenzahl: 68
Veröffentlichungsjahr: 2025
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Why this book?
Terms
Route planning
Telematics
Digitization
Sensors
Why is the digitalization of truck fleets such a topic today?
The framework conditions have changed
Fast data transmission via mobile radio
Truck interfaces are improved
Tacho data can be retrieved
More powerful sensors
Law requires action
Industry-specific requirements
Food/ fresh food service
Mill
Industrial bakery
Sanitary wholesale
Construction logistics
Beverage wholesaler/ brewery
Recycling companies
Textile service
Vehicle transportation
Fuel trading
Stories from the field
Time window not updated
Odysseys cleared up
Wage injustice
Relief for the driver
Dummy leads to behavioral change
Waiting time abused
Detours into the traffic jam
Sales revenue with rising logistics costs
Clearing service not included
Mass data collected in the rain
Wandering without geocoding
Measured values, target values and motivation
Measured values
Target values
Achievement motivation
Process optimization
Carry out controlling and not control
Setting targets for the vehicle fleet
Develop optimization approaches
Check routes
Optimize routes
Determine delivery costs per customer
Introduce fleet controlling
Carry out driver feedback
Streamline administration
Reduce phone calls
Data/activities for the optimization process
Customer data
Unloading location
Customer type
Photos
Time window
Distance classes
Target costs
Transport quantity
Truck data
Technology
Costs
Data on the driver
Tour dates
Times and services
Logistics key figures
Driving and rest times
Selected users
Controller
Workshop manager
Personnel department
Sales
Managing Director
Selection decision for telematics systems
What are the efficiency benefits?
What options are there?
Variant class 1: Locating base
Variant class 2: FMS telematics
Variant class 3: Video telematics
Variant class 4: Order management with tablet
You should pay attention to this!
Safety rules for truck drivers
The 10 max eighty rules for truck drivers
The Max 80 safety register
How should we communicate?
Information for drivers
Information for the dispatcher
Information to the controller
Information to the managing director
What remains at the bottom line
The author
Bibliography
List of illustrations
How to use cloud services to optimize truck fleets and reduce costs by digitizing processes.
Jürgen Stausberg
Companies with a fleet of vehicles, e.g. from the brewery, bakery, mill, construction logistics, building materials trade, recycling, beverage wholesale, fresh produce service, sanitary wholesale and textile service sectors, often ask themselves where costs can be saved in the fleet and/or where performance can be increased.
This book describes a way to identify cost-cutting potential in the vehicle fleet.
Truck route planning with telematics are the key elements for achieving efficiency gains in the fleet.
Companies that regularly supply customers often have fixed routes. Particularly in times of fluctuating delivery volumes due to the economy, pandemic, weather conditions, etc., fixed routes inevitably lead to empty runs by trucks. Drivers often only know their route and with fewer loads, the costs per transport unit increase for the same mileage.
This book is about counteracting this development. It shows how modern digitalization methods can be used to manage a fleet more efficiently and reduce costs.
Route optimization with telematics helps to find starting points for improvements in your own company'sfleet and to eliminate weak points. Modern systems and service solutions from the field of telematics are presented that can help with this.
The book is aimed at fleet managers from different sectors. Not all of the starting points presented are relevant for every industry. Beverage wholesalers will have a different focus than building materials wholesalers, for example. Telematics offers different components depending on the industry.
If you ask Wikipedia for the definition of Route planning, you get the following answer: Tour planning is a planning process in which (transport) orders are combined into tours and put into a sequence. A tour is usually carried out by one person or one vehicle. This planning process is important wherever a large number of orders and tours have to be planned. Examples include the delivery of goods to a retailer's branches, the collection of post, refuse collection, passenger transportation and the deployment of service personnel.
The aim of route planning is, for example, to minimize the number of vehicles used, the distance covered, the operating time, CO2 emissions or a more complex cost function. In the standard route planning problem, all starting and destination points are located in a depot where a limited number of identical vehicles with limited capacity are usually available. Other variants take into account additional restrictions such as time windows, several depots or arbitrary start and destination points. (Wikipedia, Route Planning 2025)
If you look at Wikipedia, the first sentence you will find is: Telematics (composed of telecommunications and information technology) is a technology that combines the fields of telecommunications and information technology.
Telematics is a broad term that is used in this book in connection with vehicle telematics.
In relation to the truck, this simply means IT, i.e. the processing of data relating to the truck and the transmission of data from and to the truck. This includes technical data from the vehicle, such as engine speed and diesel consumption, as well as position data and downtimes of the truck or order data with a connection to the navigation system.
The beginnings date back to the 1980s, when special on-board computers recorded the wheel revolutions and thus the kilometers driven and idle times. Special data cards, similar to today's driver cards - or even a cable connection from the truck to an electronic filling station - transmitted the data to the control center for evaluation.
Outdated? Or not? Because not much has changed in terms of data content and its use. But the technology is smaller, simpler and data transmission has been revolutionized with LTE, 4G, 5G, satellites, etc. GPS positioning for localizing and identifying thecustomer's stop or current driving position and the digital speedometer with its various connection options have also been added.
Today, such systems are often installed in 30 to 60 minutes or can be operated directly via the cigarette lighter without installation. In the past, installation took 4 to 8 hours. (Wikipedia, Telematics 2025)
The best way to understand digitization in the vehicle fleet is to treat everything that was previously recorded in analog form on paper and then often copied as an electronic version.
Instead of on paper, the delivery bill is kept digitally on a tablet. (Wikipedia, Digitization 2025)
A sensor is a technical component that measures certain physical or chemical properties (physical e.g. amount of heat, temperature, humidity, pressure, sound field variables, brightness, acceleration). The measured values are converted into electronic signals that can be processed further.
The following sensors are of particular importance for transport logistics: detection sensors, which today often work with Bluetooth and determine whether an object, e.g. a trailer, is in the vicinity of the truck. Temperature sensors that detect and transmit chamber temperatures on the loading area and fill level sensors that can determine when a container needs to be emptied, particularly in the case of waste containers. (Wikipedia, Sensors 2025)
Figure 1 Example of a temperature sensor
In the past, customers ordered on a fixed date and always ordered approximately the same quantities. The scheduling department assigned customers a delivery day, a standard truck and a standard driver. Truck navigation did not yet exist. The standard driver was instructed for the tour. Only he knew the customer's delivery conditions.
Today, customers are affected by strongly fluctuating customer groups, whether in restaurants due to the pandemic or VAT, or in canteens where many employees are suddenly working from home.
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