Michihiko Noritake

Optimal size and location planning of public logistics terminals

The concept of public logistics terminals (multi-company distribution centers) has been proposed in Japan to help alleviate traffic congestion, environment, energy and labor costs. These facilities allow more efficient logistics systems to be established and they facilitate the implementation of advanced information systems and cooperative freight systems. This paper describes a mathematical model developed for determining the optimal size and location of public logistics terminals. Queuing theory and nonlinear programming techniques are used to determine the best solution. The model explicitly takes into account traffic conditions in the network and was successfully applied to an actual road network in the Kyoto-Osaka area in Japan.

Effects Of Designated Time On Pickup/deliveryTruck Routing And Scheduling

This paper presents a mathematical model developed for investigating the effects of designated time windows on urban pickup/delivery truck routing and scheduling. Three heuristic techniques, genetic algorithms (GA), simulated annealing (SA) and tabu search (TS) were applied to obtain approximate optimal solutions for the urban pickup/delivery truck routing and scheduling problem with time windows. The performance of each of these techniques was compared using a small road network. The model was applied to investigate the effects of increasing the width of time windows.

OPTIMAL LOCATION PLANNING OF LOGISTICS TERMINALS BASED ON MULTIOBJECTIVE PROGRAMMING METHOD

This paper focuses on a method for determining the optimal location pattern of logistics terminals constructed by the public sector. Since the aim of constructing them is to help establish efficient logistics systems and reduce the total social and environmental costs of transporting goods within urban areas, a variety of objective functions must be considered in the problem formulation. Three objective functions were defined in this study: transportation costs, costs of travel time and the carbon dioxide emissions. The values of these objective functions depend on the traffic conditions on road network, so that they will not only differ from each other but also be mutually conflicted. A mathematical model was developed incorporating multiobjective programming method. Vector evaluated genetic algorithms were applied to obtain optimal solutions which correspond to the alternative location patterns of the logistics terminals.

Optimizing the Size and Location of Logistics Terminals

Abstract A mathematical model for optimizing the size and location of logistics terminals was developed by using queuing theory and non-linear programming. The model explicitly takes into account the road network and one can determine the size and location of logistics terminals considering traffic conditions in road network. The model was successfully applied to an imaginary road network. It was found that the change of amount of goods generation and attraction greatly affects the selection of optimal terminal locations. The concentration of freight demand in CBD requires closer location of logistics terminals to CBD even if the facility cost at terminals is high with high land price.

Intercontinental transportation and the Marine Container System

Matters related with transportation are, economically speaking, to be placed in the middle of the junction of the “production” and “consumption”. Any improvement in a transportation system gives a significant effect on the production and consumption activities of either a region or nation. There are many cases in the so called developing countries where the improvement of intercontinental marine transportation system had played vital roles for the improvement of the foundation of the national economy, by means of improving ports and harbours thereby enabling to export their natural resources to other countries.