Bundle Pricing Decisions for Fresh Products with Quality Deterioration
Joint Authors
Jiang, Yiping
Fang, Yan
Han, Xingxing
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-18
Country of Publication
Egypt
No. of Pages
8
Abstract EN
How to sell fresh products quickly to decrease the storage cost and to meet customer quality requirement is of vital importance in the food supply chain.
Bundling fresh products is an efficient strategy to promote sales and reduce storage pressure of retailers.
In this paper, we consider the bundle pricing decisions for homogeneous fresh products with quality deterioration.
The value of fresh products with quality deterioration is approximated as an exponential function based on which customer’s reservation prices are calculated.
A nonlinear mixed integer programming model is used to formulate the bundle pricing problem for fresh products.
By adding auxiliary decision variables, this model is converted into a mixed integer linear program.
Numerical experiments and sensitive analysis are conducted to provide managerial insights for bundling fresh products with quality deterioration.
American Psychological Association (APA)
Fang, Yan& Jiang, Yiping& Han, Xingxing. 2018. Bundle Pricing Decisions for Fresh Products with Quality Deterioration. Journal of Food Quality،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1185042
Modern Language Association (MLA)
Fang, Yan…[et al.]. Bundle Pricing Decisions for Fresh Products with Quality Deterioration. Journal of Food Quality No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1185042
American Medical Association (AMA)
Fang, Yan& Jiang, Yiping& Han, Xingxing. Bundle Pricing Decisions for Fresh Products with Quality Deterioration. Journal of Food Quality. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1185042
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1185042