In this article we address specific inventory management decisions with transportation cost consideration in a multi-level environment consisting of a supplier-warehouse-retailers. We develop two models - namely, decentralized ordering model and centralized ordering model to investigate the...

In this study, a dynamic allocation model using objective programming for berth allocation and quay crane assignments was preliminarily developed based on rolling-horizon approach. Afterwards, a hybrid parallel genetic algorithm (HPGA), which combined parallel genetic algorithm (PGA) and...

This paper examines the practicability and validity of the Multi-Objective Goal Programming (MOGP) model in designing a point-to-point airline network. The MOGP mathematical model is used in this study to identify and select a best central airport and its connecting airports providing the best...

This work develops a bi-level optimization model for locating bus stops to minimize the social cost of the overall transport system. The work takes into account possible changes in demand due to different bus stop locations considering congestion on buses, interaction with private traffic,...

This paper proposes a novel integrated model for yard truck and yard crane scheduling problems for loading operations in container terminal. The problem is formulated as a mixed-integer programming model. Due to the computational intractability, two efficient solution methods, based on Benders'...

This paper formulates a model to represent the transfer waiting time for a connecting service at multi-modal stations, where waiting time considers the characteristics of both the connecting service and its feeder services. Numerical simulation results show that transfer waiting time is mainly...

To route and schedule trains over a large complex network can be computationally intensive. One way to reduce complexity could be to "aggregate" suitable sections of a network. In this paper, we present a simulation-based technique to generate delay estimates over track segments as a function of...

In this study, a mathematical model that integrates spatial and temporal dimensions is developed for strategic planning of future bioethanol supply chain systems. The planning objective is to minimize the cost of the entire supply chain of biofuel from biowaste feedstock fields to end users over...

This paper analyzes capacity requirement by alternative network structures. Based on a simple model, it is concluded that the capacity required under a hub-and-spoke network would be more than twice as large as the capacity required under a fully connected network. In recent years, China has...

This paper discusses a dynamic evacuation network optimization problem that incorporates lane reversal and crossing elimination strategies. These two lane-based planning strategies complement one another by increasing capacity in specific directions through the evacuation network. A bi-level...