Determination of Optimal Shipping Quantity for Perishable Goods under Probabilistic Supply
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-28
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The problems of shipping and transporting perishable goods are commonly considered in the literature as significant topics, but rarely did researchers adopt a probabilistic point of view in their models.
It is common in SCM environments that the participating entities’ behaviors are random and unpredictable and so can only be modeled in a probabilistic way.
In this paper, we consider the shipping problem of determining the optimal quantity of perishable products with a limited time to be stored in the warehouse.
The optimal quantity minimizes the overall operational costs including those of inventory and shipping.
We develop a mathematical model, from which the probability distribution function, mean, and variance of the length of the build-up period are derived and we establish a cost function for determining the optimal shipping value.
American Psychological Association (APA)
Lim, Si-Yeong& Hur, Sun. 2015. Determination of Optimal Shipping Quantity for Perishable Goods under Probabilistic Supply. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1073381
Modern Language Association (MLA)
Lim, Si-Yeong& Hur, Sun. Determination of Optimal Shipping Quantity for Perishable Goods under Probabilistic Supply. Mathematical Problems in Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1073381
American Medical Association (AMA)
Lim, Si-Yeong& Hur, Sun. Determination of Optimal Shipping Quantity for Perishable Goods under Probabilistic Supply. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1073381
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073381