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The paper describes deployment experience of a decision support system for planning fuel supplies within a network of gas stations, which is based on simulation, multiagent and expert modeling. Authors focus on various methods used in decision support system BPsim.DSS. Mainly the system is used by logistical management and planning departments. The system implement such features as forecasting next...
The pickup and delivery problem (PDP) arises in many real-world scenarios such as logistics and robotics. This problem combines the traveling salesman problem (or the vehicle routing problem) and object distribution. The selective pickup and delivery problem (SPDP) is a novel variant of the PDP that enables selectivity of pickup nodes for particular applications. Specifically, the SPDP seeks a shortest...
The complexity and dynamics in group age traffic requires flexible, efficient, and adaptive planning and controlling processes. While the general problem refers to the Vehicle Routing Problem (VRP), additional requirements have to be fulfilled in application. Individual properties and priorities of orders, a heterogeneous fleet of vehicles, dynamically incoming orders, unexpected events etc. require...
This paper intends to compensate the lack of fundamental theories of DED ground vehicle on the locomotion performance. Firstly, vehicle dynamic model in 3 dimensional space is established as well as some key modules such as driving motors and power batteries. Subsequently, simulation and experiment research on the locomotion performance of a DED vehicle is carried out on grade E road, which is a typical...
Our paper processes the case of the subsidiary of car manufacturer who imports containers of constituents (components) of cars to be assembled locally. The road transport of these containers is assured by a company of road transport which has to affect to each reservation, optimally, one or more containers while meeting the deadlines proposed by the customers, the employment regulations and the availability...
This paper considers a novel optimization problem for a vehicle delivery planning and proposes its effective heuristics based on dynamic programming techniques. Each delivery item has a designated delivery date with a certain relaxation window. The minimum delivery cost can be decreased compared to the rigorous delivery date problem. Namely, the relaxing due constraints enable to reduce delivery costs...
The routing of vehicles or personnel in complex logistics systems is a task that needs to be solved in numerous applications, e.g., detailed models of transport networks or order picking areas. The number of relevant nodes in such networks can easily exceed 10,000 nodes. Often, a basic task is finding the shortest path from one node (start) to another (destination). Within the last years various simulation...
The significance of system orientation in production and logistics optimization has often been neglected in the past. An isolated view on single activities may result in globally suboptimal performance. We consider a manufacturing process where assembly lines are supplied from a central logistics center. The different steps, such as storage, picking and transport of work-in-process materials to and...
Due to intensified globalization of supply networks and growing e-commerce activities, logistics service providers have to deal with steadily increasing shipment volumes. Highly performing transshipment terminals have been identified as an essential basis to handle those volumes within transportation networks. In recent years, internal sorting processes have already been the focus of analysis, standardization...
The unidirectional logistics distribution vehicle routing problem with no time windows is considered. It contains the vehicle capacity restriction, the longest distance restriction and the full loaded vehicle. The solution must ensure the non-full loaded factor is the least and the total distance is the shortest. A multi-objective optimization mathematical model for the problem is established. And...
According to the low-efficiency and high-cost situation of warehouses operation, which exists in logistics industry, this paper proposes a scheduling model of vehicles in warehouses based on genetic algorithm. The host PC can realize the scheduling of vehicles by genetic algorithm. And simulation confirms reliability and efficiency of scheduling. Experiments illustrate that this scheduling model efficiently...
In the vehicle routing problem (VRP), it is usually difficult to confederate the cargo and arrange vehicles path. Due to performance reasons, the traditional shortest path algorithm can not be applied to the large scale of VRP. On the basis of the VRP mathematical model, this paper constructs a mixed climbing particle swarm algorithms to solve the problem. First, through coding, the VRP problem is...
Safety and accident issues are considered as an important problem in the world. Road transportation issues would have a more conspicuous countenance in the country of Iran in which, over 94 percent of all transportations take place through roads. The roads' contribution to the traffic accidents at mean is 24 percent however this value is 36 percent in Iran. Many parameters, safety signs and equipment,...
Engineering collective adaptive systems (CAS) is a challenging task. Concurrent systems, esp. when being large-scale, are known to be hard to design as the overall system behavior non-linearly results from local behavior and interactions. They are also hard to engineer and debug, as time dependent errors are often hard to reproduce. Simulation tools and environments are often used to assist in this...
According to the analysis of the transport system of pharmaceuticals cold-chain logistics, this article proposes that its network structure is of hub-and-spoke type. Combining with Characteristics of hub-and-spoke transportation network, aiming at the minimum total transportation cost, pharmaceuticals cold-chain logistics transportation network optimization should be conduct into two stages. The first...
Building on a case study that we generalize, we use a model of interval four indexes transportation problem (4ITP: origin, destination, goods types, vehicle types) and find a solution on the minimum transportation cost for the distribution planning between manufacturers and customers. The 4ITP with real variables and deterministic parameters was solved for all cases where the problem is degenerated...
Provides a novel hybrid ant colony algorithm combining genetic algorithm with implicit parallel function to make up the shortcomings of common ant colony alogrithm in the vehicle routing problem including slow convergence in the early stages. Introducing the encoding and mutation operation can improve the efficiency of solving the optimal distribution path. The comparative analysis of vehicle routing...
We present a logistic scenario, based on the sea port of Bremen, and a context-aware dynamic service-based system to support its operation. We also show how we have used it to evaluate our automated adaptation techniques.
The European PLAY project aims at defining a federated-open-trusted platform able to deal with events emitted by any device. That platform should be able to combine a publish/subscribe mechanism with complex event processing in order to use the huge amount of produced events as a shared knowledge. The PLAY platform may so be able to (i) inform users (or devices) with relevant events and (ii) suggest...
This paper presents the construction of an aggregated indicator of a fuel-efficient driving style, in order to construct an efficient Ecological Driving Assistance System (EDAS). Such an eco-index can be used to detect eco-driving behaviour, but also to give to the driver useful advices to help him improving his driving efficiency without deteriorating safety. The logistic regression is used to model...
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