Scheduling period inventory model with Weibull deteriorating for crisp and fuzzy

H.A. Fergany, O.A. Gawdt and Y.Y. Morsy

International Journal of Inventory Research, 2021, vol. 6, issue 1, 47-66

Abstract: Two different cases of the probabilistic scheduling period inventory model for deteriorating items are discussed. The deterioration rate follows the Weibull distribution with two-parameter with varying and constrained expected deteriorating cost, when the demand during any scheduling period is a random variable and without shortage. The first case when the total cost components are considered to be crisp values, and the other case when the costs are considered as trapezoidal fuzzy numbers. Also, some special cases are deduced. To illustrate the proposed model in the crisp case and the fuzzy case, a numerical example was added.

Keywords: deterioration; probabilistic demand rate; scheduling period; trapezoidal fuzzy numbers; Weibull distribution. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=113828 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijires:v:6:y:2021:i:1:p:47-66

Access Statistics for this article

More articles in International Journal of Inventory Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().