In robust optimization, the multi-stage context (or dynamic decision-making) assumes that the information is revealed in stages. So, part of the decisions must be taken before knowing the real values of the uncertain parameters, and another part, called recourse decisions, is taken when the information is known. In this paper, we are interested in a robust version of the location transportation...

Abstract Many of air cargo companies adapt the hub-and-spokes system where economies of scale exist in the transportation cost. In this paper, we formulate economies of scale using nonlinear cost function of distances and demands, and analyze how the change of the transportation cost affects single hub location of air cargo using the generalized Weber problem on the regular demand points of one...

Under the trend of developing green transportation in China, tractor-and-trailer has received more attention. This paper focuses on network-type mode port hinterland, aiming to tackle problems low efficiency and customer satisfaction existing network. The authors recommend considering opening several alternative depots making vehicle scheduling decisions simultaneous order optimize Therefore, t...

Corresponding Author: Chansiri Singhtaun Department of Industrial Engineering, Kasetsart University, Bangkok, Thailand Email: [email protected] Abstract: This study extends the capability and increases the performance of a traditional Branch and Bound (BB) algorithm to solve Facility Location-Transportation problems for Disaster Response (FLTDR) using parallel computing. A Two-Stage Branch an...

The hierarchical hub covering facility location problems are applied to distribution systems, transportation, waste disposal, treatment services, emergency services and remote communication. The problems attempt to determine the location of service providers' facilities at different levels and specify their linking directions in order to reduce costs and to establish an appropriate condition in...

This study proposes six novel techniques on the customer’s priority while addressing conventional hub location issue. Each strategy assigns a value to every customer based distance and demand parameters, in which customers are prioritized this value. Then, vehicle fleet is scheduled according priority. A new mixed-integer linear programming model presented applied for each location-scheduling p...