An inventory control model for obsolete items with consideration of all unit quantity discount and price-dependent on order quantity

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Zamani Bajegani Hasan; GHOLAMIAN MOHAMMAD REZA

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: MODERN RESEARCHES IN DECISION MAKING Year:2020 | Volume:4 | Issue:4 Page(s): 127-146

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

609

Download:

Cites:

Information Journal Paper

Title

An inventory control model for obsolete items with consideration of all unit quantity discount and price-dependent on order quantity

Author(s)

Zamani Bajegani Hasan | GHOLAMIAN MOHAMMAD REZA | Issue Writer Certificate

Keywords

Inventory ControlQ2

All-unit Quantity DiscountQ1

ObsolescenceQ1

Price-Dependent on Order QuantityQ1

Abstract

In this study, a single-item Obsolescence inventory model with one retailer and with All-unit Quantity Discounts has been investigated. The retailer purchases items with a possibility of future Obsolescence based on the purchase price which is dependent into the order quantity. It is assumed in this paper that there are dependencies between different decisions on the amount of order quantity, considering the probability of Obsolescence at any given moment and the purchase price of items by taking into account the use of discount. The aim of the model is to minimize the retailer’ s inventory cost through the finding optimal purchase price and order replenishment. Although discount models have been developed for deteriorating items with a constant or varying rate of deterioration, but the use of these models, for obsolete items, in which the demand of item falls suddenly in the future based on a probability distribution, has not been so far investigated. While, these are the real conditions that many retailers are facing and in such situations the retailers need to encourage the customers to buy more. In this model, the length of Obsolescence time is considered as exponential function and the Obsolescence is occurred suddenly. The model has been developed mathematically and then the optimal solution and convexity are resulted from the first and second derivatives of objective function respectively. Finally, for the sake of clarity of the proposed model, a numerical example is presented and sensitivity analyses are performed on critical parameters of the model.

Cites

No record.

References

No record.

Cite

APA: Copy

Zamani Bajegani, Hasan, & GHOLAMIAN, MOHAMMAD REZA. (2020). An inventory control model for obsolete items with consideration of all unit quantity discount and price-dependent on order quantity. MODERN RESEARCHES IN DECISION MAKING, 4(4 ), 127-146. SID. https://sid.ir/paper/398002/en

Vancouver: Copy

Zamani Bajegani Hasan, GHOLAMIAN MOHAMMAD REZA. An inventory control model for obsolete items with consideration of all unit quantity discount and price-dependent on order quantity. MODERN RESEARCHES IN DECISION MAKING[Internet]. 2020;4(4 ):127-146. Available from: https://sid.ir/paper/398002/en

IEEE: Copy

Hasan Zamani Bajegani, and MOHAMMAD REZA GHOLAMIAN, “An inventory control model for obsolete items with consideration of all unit quantity discount and price-dependent on order quantity,” MODERN RESEARCHES IN DECISION MAKING, vol. 4, no. 4 , pp. 127–146, 2020, [Online]. Available: https://sid.ir/paper/398002/en

Related Journal Papers