An analysis of optimal order decision for substitutable perishable products at different loss rates
by Jing Wang
International Journal of Applied Decision Sciences (IJADS), Vol. 14, No. 4, 2021

Abstract: Loss rate was here used to characterise products' life cycles given that perishable products produced through different processes have different life cycles. In addition, products with different loss rates may also be interchangeable to the end user. In this paper, we first established two realistic models with the goal of maximising the expected profit. We here proved that the optimal size of each order and maximum expected profit exist and are unique in both models. After the numerical analysis, we concluded that the rate of loss of models with or without substitutes has the same impact as each other on the optimal order size and the maximum expected profit, and the trends in the variation in the cost of each order are also the same. Furthermore, the trends in the variations with substitutes are relatively slow. The model with substitutes was found to facilitate management decisions through the substitution coefficient, and the boundary value was consistent with the value of the model without substitutes.

Online publication date: Tue, 06-Jul-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Applied Decision Sciences (IJADS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com