Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1142147 | Operations Research Letters | 2016 | 4 Pages |
Abstract
Jiao and Zhang (2005) propose a shared-surplus maximization model considering customer preferences and choice behavior as well as platform-based product costing to tackle the so-called product portfolio planning problem (optimal mix of products and attributes). They emphasize the joined consideration of customers concerns and operational implications and propose a stochastic, mixed-integer, non-linear program. We discuss several issues and ambiguities of the original approach and propose some improvements such as demand model calibration, deterministic customer surplus, and an effective objective function.
Related Topics
Physical Sciences and Engineering
Mathematics
Discrete Mathematics and Combinatorics
Authors
Sven Müller, Knut Haase,