A good approximation of the inventory level in a (Q, r) perishable inventory system

Huan Neng Chiu

RAIRO - Operations Research (2010)

  • Volume: 33, Issue: 1, page 29-45
  • ISSN: 0399-0559

Abstract

top
This paper derives a good approach to approximating the expected inventory level per unit time for the continuous review (Q, r) perishable inventory system. Three existing approximation approaches are examined and compared with the proposed approach. Three stockout cases, including the full backorder, the partial backorder, and the full lost sales cases, which customers or material users generally use to respond to a stockout condition are considered. This study reveals the fact that the proposed approximation is simple yet good and suitable for incorporation into the (Q, r) perishable inventory model to determine the best ordering policy. The results from numerical examples and a sensitivity analysis indicate that severe underestimation or overestimation of the expected inventory level per unit time due to the use of an inappropriate approximation approach would result in great distortion in the determination of the best ordering policy.

How to cite

top

Chiu, Huan Neng. "A good approximation of the inventory level in a (Q, r) perishable inventory system ." RAIRO - Operations Research 33.1 (2010): 29-45. <http://eudml.org/doc/197793>.

@article{Chiu2010,
abstract = { This paper derives a good approach to approximating the expected inventory level per unit time for the continuous review (Q, r) perishable inventory system. Three existing approximation approaches are examined and compared with the proposed approach. Three stockout cases, including the full backorder, the partial backorder, and the full lost sales cases, which customers or material users generally use to respond to a stockout condition are considered. This study reveals the fact that the proposed approximation is simple yet good and suitable for incorporation into the (Q, r) perishable inventory model to determine the best ordering policy. The results from numerical examples and a sensitivity analysis indicate that severe underestimation or overestimation of the expected inventory level per unit time due to the use of an inappropriate approximation approach would result in great distortion in the determination of the best ordering policy. },
author = {Chiu, Huan Neng},
journal = {RAIRO - Operations Research},
keywords = {Perishable inventory; approximation; backorder; lost sales; sensitivity analysis. ; perishable inventory; sensitivity analysis},
language = {eng},
month = {3},
number = {1},
pages = {29-45},
publisher = {EDP Sciences},
title = {A good approximation of the inventory level in a (Q, r) perishable inventory system },
url = {http://eudml.org/doc/197793},
volume = {33},
year = {2010},
}

TY - JOUR
AU - Chiu, Huan Neng
TI - A good approximation of the inventory level in a (Q, r) perishable inventory system
JO - RAIRO - Operations Research
DA - 2010/3//
PB - EDP Sciences
VL - 33
IS - 1
SP - 29
EP - 45
AB - This paper derives a good approach to approximating the expected inventory level per unit time for the continuous review (Q, r) perishable inventory system. Three existing approximation approaches are examined and compared with the proposed approach. Three stockout cases, including the full backorder, the partial backorder, and the full lost sales cases, which customers or material users generally use to respond to a stockout condition are considered. This study reveals the fact that the proposed approximation is simple yet good and suitable for incorporation into the (Q, r) perishable inventory model to determine the best ordering policy. The results from numerical examples and a sensitivity analysis indicate that severe underestimation or overestimation of the expected inventory level per unit time due to the use of an inappropriate approximation approach would result in great distortion in the determination of the best ordering policy.
LA - eng
KW - Perishable inventory; approximation; backorder; lost sales; sensitivity analysis. ; perishable inventory; sensitivity analysis
UR - http://eudml.org/doc/197793
ER -

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.