Technical note: The EOQ and EPQ models with shortages derived without derivatives [An article from: International Journal of Production Economics]
Book Details
Author(s)R. Ronald, G.K. Yang, P. Chu
PublisherElsevier
ISBN / ASINB000RR2IKQ
ISBN-13978B000RR2IK6
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from International Journal of Production Economics, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Grubbstrom and Erdem (Int. J. Prod. Econom. 59 (1999) 529) derived the EOQ model with shortages and complete backlogging without derivatives, and they predicted that their method could be introduced to younger students in school without the knowledge of calculus. However, their algebraic procedure is too sophisticated to be absorbed by ordinary readers. Recently, Cardenas-Barron (Int. J. Prod. Econom. 70 (2001) 289) extended the algebraic method to solve the EPQ model with shortages and complete backlogging. We will point out that his method has the same problem as Grubbstrom and Erdem's. In this note, our method applies basic algebraic skill to derive the optimal solution for EOQ and EPQ models with shortages and complete backlogging.
Description:
Grubbstrom and Erdem (Int. J. Prod. Econom. 59 (1999) 529) derived the EOQ model with shortages and complete backlogging without derivatives, and they predicted that their method could be introduced to younger students in school without the knowledge of calculus. However, their algebraic procedure is too sophisticated to be absorbed by ordinary readers. Recently, Cardenas-Barron (Int. J. Prod. Econom. 70 (2001) 289) extended the algebraic method to solve the EPQ model with shortages and complete backlogging. We will point out that his method has the same problem as Grubbstrom and Erdem's. In this note, our method applies basic algebraic skill to derive the optimal solution for EOQ and EPQ models with shortages and complete backlogging.
