According to the new tendencies in marketplace, such as the growth and spread of e-commerce and e-business, Supply chains and Logistics are naturally being modeled as distributed systems. Companies are organized as Demand and Supply network and the global logistics system is performed by a large-scale world-wide network of local service enterprises. Referring to such scenario, multiagents and o...

in this study, under the constraint of resource-saving and environment-friendliness objective, based on multi-agent genetic algorithm, multi-objective spatial optimization (moso) model for land use allocation was developed from the view of simulating the biological autonomous adaptability to environment and the competitive-cooperative relationship. the model was applied to solve the practical m...

in this study, a cross-docking system is designed at strategic and tactical levels. for making the strategic decisions, a multi-objective nonlinear location allocation model for cross-docks is presented based on a distri-bution location allocation model by andreas klose and andreas drexl. the model is further developed to in-clude the whole supply chain members and the objective functions are w...

This report documents the development of several transportation optimization models under uncertainty. First, a robust evacuation transportation planning model for freeway traffic systems was developed, in which demand is uncertain. The study results provide preliminary evidence that routing traffic using such a robust, optimization-based model can improve the average objective performance. Nex...

We study incentive alignment for the coordination of operations in humanitarian settings. Our research focuses on transportation, the second largest overhead cost to humanitarian organizations after personnel. Motivated by field research, we study the fleet size problem from a managerial perspective. In terms of transportation, an equity focused agent (the Humanitarian Program) has private info...

We study incentive alignment for the coordination of operations in humanitarian settings. Our research focuses on transportation, the second largest overhead cost to humanitarian organizations after personnel. Motivated by field research, we study the fleet size problem from a managerial perspective. In terms of transportation, an equity focused Humanitarian Program implemented by an Internatio...

The main advantage of heuristic or metaheuristic algorithms compared to exact optimization methods is their ability in handling large-scale instances within a reasonable time, albeit at the expense of losing a guarantee for achieving the optimal solution. Therefore, metaheuristic techniques are appropriate choices for solving NP-hard problems to near optimality. Since the parameters of heuristi...

Due to the increasing amount of natural disasters such as earthquakes and floods and unnatural disasters such as war and terrorist attacks, Humanitarian Relief Chain (HRC) is taken into consideration of most countries. Besides, this paper aims to contribute humanitarian relief chains under uncertainty. In this paper, we address a humanitarian logistics network design problem including local dis...

Purpose The aim of the article is to identify gaps in research and to set up a research agenda that investigates how gender attributes and different sets of skills contribute to logistics performance. The article focuses on humanitarian logistics and outlines the areas in which gender issues impact on the effectiveness of the provision of aid following a disaster. Design/methodology/approach A ...