BOOKING DECISION METHOD FOR TRANSPORTATION INDUSTRY BY SAMPLING OPTIMAL REVENUE

摘要

In a booking decision method for transportation industry by sampling optimal revenues, a random sample scenario of a scenario index is generated. A first optimal revenue is generated under a condition of rejecting the current arrival booking request, and a second optimal revenue is generated under a condition of accepting the current arrival booking request. The scenario index is increased by 1 if the sample scenario index is smaller than a total number of sample scenarios; otherwise, a first average revenue of the first optimal revenue and a second average revenue of the second optimal revenue are calculated, and the marginal profit is calculated according to the first average revenue and the second average revenue. If the price of a current arrival request is greater than or equal to the marginal profit, the current arrival booking request is accepted; otherwise, the current arrival booking request is rejected.

主权项

1. A booking decision method for transportation industry by sampling optimal revenues, which is executed on a computer system for a transportation company to accept or reject a current arrival booking request based on a marginal profit. The computer system includes an input module, a database module, an output module, and a processor module, the input module receiving the current arrival booking request, the database module being used to store data, the processor module being coupled to the input module, the database module, the output module, and the processor module to execute the booking decision method for transportation industry by sampling optimal revenues, and to output executed result to the output module, the method comprising the steps of:
(A) the processor module initializing a sample scenario index (y=1); (B) the processor module generating a random sample scenario of scenario index y; (C) the processor module generating a first optimal revenue ry under a condition of rejecting the current arrival booking request, and generating a second optimal revenue ry′ under a condition of accepting the current arrival booking request; (D) the processor determining whether the sample scenario index is smaller than a total number of sample scenarios Y and, if yes, increasing the sample scenario index by one and then returning to step (B); (E) if the sample scenario index is determined to be not smaller than the total number of sample scenarios Y in step (D), calculating a first average revenue r of the first optimal revenue ry and a second average revenue r′ of the second optimal revenue Y, and calculating the marginal profit mj0p0u0 according to the first average revenue and the second average revenue; and (F) the processor module determining whether a price is greater than or equal to the marginal profit and, if yes, the processor module accepting the current arrival booking request, otherwise, rejecting the current arrival booking request.