An optimal containership slot allocation for liner shipping revenue management

In the competitive liner shipping market, carriers may utilize revenue management systems to increase profits by using slot allocation and pricing. In this paper, related research on revenue management for transportation industries is reviewed. A conceptual model for liner shipping revenue management (LSRM) is proposed and a slot allocation model is formulated through mathematical programming to maximize freight contribution. We illustrate this slot allocation model with a case study of a Taiwan liner shipping company and the results show the applicability and better performances than the previous allocation used in practice.     

An optimal containership slot allocation for liner shipping revenue management

In the competitive liner shipping market, carriers may utilize revenue management systems to increase profits by using slot allocation and pricing. In this paper, related research on revenue management for transportation industries is reviewed. A conceptual model for liner shipping revenue management (LSRM) is proposed and a slot allocation model is formulated through mathematical programming to maximize freight contribution. We illustrate this slot allocation model with a case study of a Taiwan liner shipping company and the results show the applicability and better performances than the previous allocation used in practice.     

Application of multiple criteria decision making for network improvement

In this paper we propose application of multiple criteria decision making to problems of a metropolitan network improvement plan. Initially, a bilevel multiple objective network design model is considered in two objectives which are minimal government budget and minimal total travel time of road users. We seek feasible improvement alternatives among those bottleneck links in an existing road network structure and travel demand. We present an effective heuristic algorithm to obtain noninferior solutions; then ELECTRE III multiple criteria decision making and group decision making are used to evaluate and to select a compromise solution among those noninferior solutions. From the design phase in multiple criteria decision making, multiple objective mathematical programming is used to formulate a continuous network design model. However, from the phase of evaluation, multiple criteria decision making to solve the discrete network design problem. The network of metropolitan Taipei is taken as an example to illustrate the operation of this model.