Fleet Management & Fleet Planning

At a recent seminar, Rob O'Byrne talks about Fleet Management , Planning and Transport Routing.

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👇 TIMESTAMPS (in case you want to skip) 👇

0:00 Intro
0:30 Why it’s an Issue
1:00 Why can fleets need to Change
2:31 Examples & Theory of Fleet Management
9:39 The Consequences of Inappropriate Fleets
10:13 Three main elements of Fleet Management
10:50 Some key areas to check
11:41 Outro
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Transport routing and scheduling is a key aspect of logistics and supply chain management, particularly for businesses with a fleet of delivery vehicles. The aim of this process is to optimize the use of vehicles in order to reduce operational costs, enhance efficiency, and improve customer satisfaction. There are several factors that need to be considered when planning this type of logistics management:

1. **Distance**: Minimizing the total distance traveled by all vehicles is a common objective. This can be done by carefully designing routes that minimize backtracking and unnecessary travel.

2. **Time**: Reducing the amount of time taken to deliver goods is also important. This can involve optimizing routes to avoid traffic congestion and using the most efficient routes. It may also involve scheduling deliveries at times when customers are available to receive them.

3. **Vehicle Capacity**: The capacity of each vehicle needs to be taken into account. A vehicle’s route should be planned in such a way that it can carry out as many deliveries as possible before it has to return to the depot.

4. **Service Level**: Ensuring high service levels is crucial. This might include meeting specific time windows for delivery, or considering specific customer needs such as particular delivery instructions.

5. **Cost**: Fuel consumption, vehicle maintenance, and driver wages are among the costs to consider. Optimized routes can minimize these costs.

There are various methods and technologies that can assist in transport routing and scheduling:

**Route Optimization Software**: There is a variety of software solutions on the market that use algorithms to optimize delivery routes. These can take into account all the factors listed above and generate efficient routes and schedules.

**GPS Tracking**: GPS tracking can help monitor vehicle movements, allowing you to track whether vehicles are following the planned routes and schedules, and make adjustments as necessary.

**Machine Learning and Artificial Intelligence**: Advanced systems are using machine learning and AI to predict traffic conditions, learn from historical data, and make more accurate and efficient routing and scheduling plans.

**The Traveling Salesman Problem and the Vehicle Routing Problem**: These are classic problems in computer science and operations research that involve finding the shortest possible route that visits a set of locations. Various algorithmic solutions have been developed to tackle these problems, and these can be applied in transport routing and scheduling.

Optimizing transport routing and scheduling can result in significant benefits for businesses, including reduced costs, improved service levels, and reduced environmental impact. However, it requires careful planning and the use of appropriate tools and technologies.
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#transportplanning #fleetmanagement