A user-friendly marketing decision support system for the product line design using evolutionary algorithms

作者:

摘要

A marketing decision support system (MDSS) is presented. It has a user-friendly and easy to learn menu driven interface. Its purpose is to assist a marketing manager in designing a line of substitute products. Optimal product line design is a very important marketing decision. The MDSS uses three different optimization criteria. It examines different scenarios using the “What if analysis”. Also, it finds optimal solutions only for small sized problems using the complete enumeration method and near optimal solutions for real sized problems using evolutionary algorithms. The user is not forced to be familiar with the underlying models.

论文关键词:Marketing decision support systems,Product line design,Evolutionary algorithms,Heuristic methods,NP-hard problems

论文评审过程:Received 8 December 2000, Revised 6 September 2003, Accepted 13 September 2003, Available online 28 October 2003.

论文官网地址:https://doi.org/10.1016/j.dss.2003.09.002