Quadratic Approximation of the Newsvendor Problem with Imperfect Quality

Authors

  • Natapat Areerakulkan Department of Engineering Management, College of Innovative Technology and Engineering, Dhurakij Pundit University, Bangkok, Thailand

DOI:

https://doi.org/10.6000/1929-7092.2017.06.34

Keywords:

Imperfect quality items, Newsvendor problem, Quadratic programming

Abstract

The paper presents a newsvendor problem in a fuzzy environment by introducing product quality as a fuzzy variable, and product demand as a probability distribution in an economic and supply chain management environment. In order to determine the optimal order quantity, a methodology is developed where the solution is achieved using a fuzzy ranking method combined with a quadratic programming problem approximation. Numerical examples are provided and compared in both situations, namely fuzzy and crisp. The results of these numerical examples show that the decision maker has to order a higher quantity when product quality is a fuzzy variable. The model can be useful for real world problems when historical data are not available.

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Published

2017-06-09

How to Cite

Areerakulkan, N. (2017). Quadratic Approximation of the Newsvendor Problem with Imperfect Quality. Journal of Reviews on Global Economics, 6, 335–341. https://doi.org/10.6000/1929-7092.2017.06.34

Issue

Section

Special Issue - Recent Topical Research on Global, Energy, Health & Medical, and Tourism Economics, and Global Software