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Cargo transportation is one of the most important topics in today's fast growing and globalized logistics sector. Ecommerce activities make valuable contributions to cargo and logistics sectors. In this study, technological transfer center of a cargo company in Turkey that consists of infeeds, outfeeds, reject line and a sorter system was considered. The main problem is the imbalance between the expected...
Vehicle to grid technologies (V2G) utilize the batteries in electric vehicles (EV) to provide ancillary services to the electric power grid. In order to maintain a 60-hertz frequency in the electric grid, there exists a wholesale market for frequency regulation (FR), a specific type of ancillary service. This paper examines V2G technology for providing FR, while focusing on the effect FR service has...
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...
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...
Reinforcement learning suffers from inefficiency when the number of potential solutions to be searched is large. This paper describes a method of improving reinforcement learning by applying rule induction in multi-agent systems. Knowledge captured by learned rules is used to reduce search space in reinforcement learning, allowing it to shorten learning time. The method is particularly suitable for...
The actual express delivery network problem is to find a minimum-time tour solution and obtain vehicle classes and frequencies of mail routes. In order to solve the actual problem, the vehicle routing problem with multiple vehicle classes and vehicle frequencies is presented and described, and simulation-based optimization model of the actual problem is developed. With respect to huge perturbation...
The Vehicle Routing Problem (VRP) is of considerable economic significance in logistic systems as it manages the distribution of goods to make an efficient transportation system. Considering a practical application, this paper solves a vehicle routing problem with stochastic demand (VRPSD) in which the customer demand has been modeled as a stochastic variable as opposed to conventional VRP. To deal...
Outbound logistics usually involve the management of truck activities from guiding the trucks into the plant, assigning parking area for waiting and scheduling trucks for loading. However, some problems exist in the current FIFO (first in, first out) loading scheme. It is because when trucks arrive at the loading bay for loading, some products have not been finished with some percent still on the...
In automated seaport container terminals, like the CTA in Hamburg or the ECT in Rotterdam, automated guided vehicles (AGV) are used to transport containers from quayside to yard and vice versa. The assignment of AGVs to transportation jobs, the so-called AGV dispatching, is one of the key problems in quayside transportation logistics. The impact of storage block assignment on AGV dispatching has been...
Network convective distribution model is primarily used to solve the logistics distribution problem with high service quality. The article bases on the idea of convective transportation and expands the distribution model from single line convective distribution mode to network convective distribution mode. Introduce an integrated judging index, and construct a logistics distribution model based on...
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