Int. J. of Data Science   »   2017 Vol.2, No.1

 

 

Title: Modified replenishment policy for multi-item inventory of imperfect quality items using ABC classification and cross-selling effect

 

Authors: Mandeep Mittal; Sarla Pareek; Juhi Singh

 

Addresses:
Department of Computer Science Engineering, Amity School of Engineering and Technology, Bijwasan, New Delhi 110061, India
Apaji Institute of Mathematics and Applied Computer Technology, Banasthali University, Rajasthan 304022, India
Apaji Institute of Mathematics and Applied Computer Technology, Banasthali University, Rajasthan 304022, India

 

Abstract: In high inventory scenario, it is difficult to set economic order quantity (EOQ) of every item. Therefore, items are grouped into categories (ABC classification) and one replenishment policy for each category is implemented. However, in ABC classification, the inter-relationship between items is not considered. But practically, the sale of one item could affect the sale of other items (cross selling effect). Hence, within categories also, the EOQ should be calculated by considering the dollar usage of the item itself and its effect on the sale/non sale of other items. In this paper, a modified approach is proposed considering both ABC classification and cross selling effect. The inventory of imperfect items is first classified into categories and then within each category cross selling effect is calculated to determine EOQ of each item. It is illustrated that by using this modified approach; the EOQ of items may get affected resulting in higher profit.

 

Keywords: replenishment policy; EOQ; economic order quantity; ABC classification; cross selling effect; support; confidence; multi-item inventory; imperfect items; inventory management.

 

DOI: 10.1504/IJDS.2017.082746

 

Int. J. of Data Science, 2017 Vol.2, No.1, pp.29 - 43

 

Available online: 10 Mar 2017

 

 

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