Air power plays a critical role in modern war. In order to maintain the highest possible level of aircraft readiness, logistics management for aircraft operation must be conducted well. In this study, we use a Structural Equation Model (SEM) to develop an Air Force Logistics Management Index...

The facility location problems have been applied extensively in practice. We describe a Multiple Ant Colony System (MACS) to solve the Single Source Capacitated Facility Location Problem (SSCFLP). Lagrangian heuristics have been shown to produce good solutions for the SSCFLP. A hybrid algorithm,...

This paper investigates the effect of oligopolistic rivalry on spillovers in financial reporting. Using an event study methodology and focusing on global airlines, we find that firms experience discernable abnormal stock price reactions at the announcement of unexpected earnings by rival...

An economic optimization model of waterborne containerized imports from Asia to the USA is described. Imports are allocated to alternative ports and logistics channels so as to minimize total transportation and inventory costs for each importer. Logistics channels include direct shipment of...

This paper studies substitution between empty containers of different types in an attempt to reduce the cost of empty container interchange. Since finding an optimal solution requires substantial computational efforts, a heuristic method is developed which yields an integer solution relatively...

Although there have been various studies on macro-economic effect of public investment, not much attention has been paid to the impact of actual accessibility realized by transport industry and infrastructure. In this paper, we performed a cross-sectional analysis of 47 prefectures in Japan...

This paper presents a meta-heuristic of ant colony optimization (ACO) for solving the logistics problem arising in disaster relief activities. The logistics planning involves dispatching commodities to distribution centers in the affected areas and evacuating the wounded people to medical...