Solving the one-shot decision theory based newsvendor models | IEEE Conference Publication | IEEE Xplore
Scheduled Maintenance: On Tuesday, 25 February, IEEE Xplore will undergo scheduled maintenance from 1:00-5:00 PM ET (1800-2200 UTC). During this time, there may be intermittent impact on performance. We apologize for any inconvenience.

Solving the one-shot decision theory based newsvendor models


Abstract:

The one-shot decision theory (OSDT)has been utilized to solve newsvendor models for innovative products. In fact, OSDT based newsvendor models are a special kind of bilev...Show More

Abstract:

The one-shot decision theory (OSDT)has been utilized to solve newsvendor models for innovative products. In fact, OSDT based newsvendor models are a special kind of bilevel programming problems. The existing approaches may not be applicable for solving these models because they include nonconvex nonsmooth lower level optimization problems. In this paper, we translate these models into conventional optimization models with considering the characteristics of the optimal solutions, which effectively handle the difficulties of the original newsvendor models. The theoretical results are given and a numerical example is used to show the effectiveness of the proposed methods.
Date of Conference: 06-09 December 2015
Date Added to IEEE Xplore: 21 January 2016
ISBN Information:
Conference Location: Singapore

References

References is not available for this document.