Abstract
This paper discusses a variable pricing method, which is a special technique of revenue management, in the context of the competitive market of the liner shipping industry. Most papers on competitive variable pricing are based on two fundamental assumptions: (i) the length of a price-adjusting period is short enough so that in each period at most one customer can arrive; and (ii) the real-time inventory levels of all firms constitute public information. This paper relaxes both assumptions so that each interval between two consecutive freight rate changes allows more than one shipper to arrive and that a line knows only its competitors’ initial carrying capacity at the beginning of the sales process. A multi-iteration of genetic algorithm is proposed and numerically tested.
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