Optimal replenishment policy for weibull-distributed deteriorating items with trapezoidal demand rate and partial backlogging

Author

Zhao, Lianxia

Source

Mathematical Problems in Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-04-21

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Civil Engineering

Abstract EN

An inventory model for Weibull-distributed deteriorating items is considered so as to minimize the total cost per unit time in this paper.

The model starts with shortage, allowed partial backlogging, and trapezoidal demand rate.

By analyzing the model, an efficient solution procedure is proposed to determine the optimal replenishment and the optimal order quantity and the average total costs are also obtained.

Finally, numerical examples are provided to illustrate the theoretical results and a sensitivity analysis of the major parameters with respect to the stability of optimal solution is also carried out.

American Psychological Association (APA)

Zhao, Lianxia. 2016. Optimal replenishment policy for weibull-distributed deteriorating items with trapezoidal demand rate and partial backlogging. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-687869

Modern Language Association (MLA)

Zhao, Lianxia. Optimal replenishment policy for weibull-distributed deteriorating items with trapezoidal demand rate and partial backlogging. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-687869

American Medical Association (AMA)

Zhao, Lianxia. Optimal replenishment policy for weibull-distributed deteriorating items with trapezoidal demand rate and partial backlogging. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-687869

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 9-10

Record ID

BIM-687869