@inproceedings{03b47264f72c4b80ba2900c491ea4b24,
title = "Optimization of price strategy with multi-level discount for demand management of perishable products",
abstract = "This paper develops a model to get the price policy for fresh products, and help to determine the optimal initial inventory of a sale period. Use freshness function and a demand function to illustrate the fresh condition and the demand of the product. The customer demand on the other hand, is influenced by the price and the freshness condition. In order to make it more realistic, a random factor is added to the demand function. And we propose a new solving method which integrates the scenario and simulation based fitness calculation method into the conventional GA method to help determine the price policy.",
author = "Li Dan and Tomohiro Murata",
year = "2018",
month = jan,
day = "1",
language = "English",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
editor = "Oscar Castillo and Feng, {David Dagan} and A.M. Korsunsky and Craig Douglas and Ao, {S. I.}",
booktitle = "Proceedings of the International MultiConference of Engineers and Computer Scientists 2018, IMECS 2018",
note = "2018 International MultiConference of Engineers and Computer Scientists, IMECS 2018 ; Conference date: 14-03-2018 Through 16-03-2018",
}