The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Changing demand trend (e-commerce business, timely delivery) has contributed to dynamism and complexity of routing problems. Despite its importance, Dynamic Vehicle Routing Problem (DVRP) has received little attention. Most of VRP works have been characterized by static and deterministic problem. To fill the gap, the present study aims at developing Agent-Based Modeling and Simulation (ABMS) to simulate...
Modern logistics receives increasing attention for planning and scheduling operations of transport systems that have to be resource efficient and environmentally sustainable. This paper reviews the state-of-art of one of the main problems describing logistic issues, i.e., the Dynamic Vehicle Routing Problem (DVRP). In particular, DVRP consists in assigning routes at minimal costs, to a fleet of vehicles...
Open vehicle routing problem (OVRP) is considered as a variant of vehicle routing problem (VRP), which has two hierarchical objectives, i.e., to minimize the number of routes, and to minimize the total cost measured by travel distances. Since the split delivery vehicle routing problem (SDVRP) has been studied extensively, and demonstrated that it can reduce the cost by at most 50% by allowing to split...
A three-dimensional vehicle routing problem for urban last-mile logistics (3-DVRP for ULML) is formulated, toinclude the vertical dimension, aim to account for verticaldistances in a high-rise urban environment. The crux of theproposed objective function lies in addressing a research gap to account for the vertical distance and minimizing the total node-to-node (N2N) travel and service time which...
This article develops an intelligent decision support tool for a complex supply chain management problem. In order to solve the bi-objective Location-Arc Routing Problem (LARP) facilities have to be located and routes must be determined simultaneously. The first objective is the minimization of the total costs which are the fixed cost of opening the facility, the fixed cost for the vehicles as well...
Good transportation is a key activity within the supply chain, as it has a direct impact on the company's total costs and in customer's service, giving it a special interest for seeking ways to optimize these distribution processes. In the literature there is a large number of approaches to optimize these processes, which generally require advanced methods for its solution. This article reviews the...
Aimed at the problem of commercial vehicles' distribution routes and transportation mode, as well as the reliability of service, a distribution optimization model is constructed which considered the transportation cost, transit cost and punishment cost. Then apply genetic algorithm to solve the problem. Finally, used the data from a vehicle logistics enterprise for analyzing, which proved that the...
This work consists in presenting an information system for planning routes for deliveries of goods. A company that has many products to be delivered in different places find it difficult to define the best combination of loads to be carried, and what better vehicle availability, and lower cost route for the delivery of goods in load order. With the system it is intended itinerary delivery of the goods...
Until the year 2020, Germany has established a national development plan with the goal to push one million fully electric vehicles into use. Part of the plan is to establish a number of federally funded research projects which investigate and tackle domain specific problems, e.g. the limited driving range of electric cars. Freight traffic is especially hampered by those range restrictions. The Smart...
Third party logistic (3PL) providers commonly offer integrated operation, warehousing in addition to the transportation services. A distribution problem experienced by the Logistics & Distribution division in one of the leading 3PL providers in Jakarta is studied in this paper. Starting 2008, this division partitioned Jakarta province into three clustered areas in which a main dedicated courier...
Logistics scheduling optimization is an NP problem in the condition of multiple filiale, warehouses, and vehicles. Base on the Clarke-Wright heuristic algorithm, this paper makes a deep discussion in logistics scheduling problems in the collaborative environment; presents a collaborative logistics model, design and implement a scheduling algorithm based on collaborative logistics transportation, and...
The research based on multi-depot RVRP with road capacity dynamic constraint. Building relevant mathematic model, and brought simulated annealing mechanism into chaos genetic algorithm. The simulated result shows that the proposed algorithm can be applied to solve this problem.
City logistics is facing the challenging problem of providing a quick-response and on-time delivery service in congested urban areas with frequent traffic jams. The dynamically changing traffic conditions make the predetermined best transportation plans suboptimal and consequently cause increased logistics cost and even greater air pollution. To help the driver determine time-optimal routing solutions...
Related Vehicle Routing Problem is another form of Vehicle Routing Problem. RVRP also belongs to NP-Hard, The research based on single distribution center RVRP with road capacity dynamic constraint. Road capacity factor shows as a road condition coefficient, then added it into the objective function. To build a model of single distribution center and single vehicle type RVRP with soft time windows...
In most medium and large sized cities around the world, freight transportation operations might have a noticeable impact on urban traffic mobility as well as on city commercial activities. In order to reduce both traffic congestion and pollution levels, several initiatives have been traditionally implemented. One of the most common strategies concerns the allocation of urban distribution warehouses...
Aiming at the main problems of low loading rate of vehicles, poor arrangement efficiency of routes, high costs for distribution and collecting the parts without the time window provided by a certain vendor in the milk-run process of enterprise operation, a new mathematical model called Time Window Priority Model (TWPM) is established based on the concept of the milk run system in order to solve vehicle...
This study aimed to improve the transportation management of a case study company which produced seasoning powder. Recently, they had two main problems in logistics department: high transportation cost and long vehicle scheduling time. Thus, the objectives of this study were to reduce transportation cost and scheduling time. Due to the delivery in Bangkok and metropolitan area, this problem became...
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...
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...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.