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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2014 Vol.4(1): 25-30 ISSN: 2010-3697
DOI: 10.7763/IJMO.2014.V4.342

Ordering Policy for Imperfect Quality Itemsets Using Cross Selling Effects

Mandeep Mittal, Juhi Singh, Amit Aggarwal, Khushboo Kumari, and Manan Yadav
Abstract—In an EOQ model all items are treated individually and their dependence on each other is not considered. But practically, the sale of one item could affect the sale of other items too. Thus, when the cross selling effects are considered, the frequent itemsets should be treated as an individual item and their economic order quantity (EOQ) should be estimated accordingly. Moreover, cross selling effects becomes more prominent when items are defective in nature. In this paper, we have estimated EOQ of imperfect quality items while considering cross selling effects. First, we have applied data mining techniques to find the relation between itemsets. Second, we applied the calculated cross selling effect to estimate the EOQ. Results have been validated with the help of numerical example.

Index Terms—In an EOQ model all items are treated individually and their dependence on each other is not considered. But practically, the sale of one item could affect the sale of other items too. Thus, when the cross selling effects are considered, the frequent itemsets should be treated as an individual item and their economic order quantity (EOQ) should be estimated accordingly. Moreover, cross selling effects becomes more prominent when items are defective in nature. In this paper, we have estimated EOQ of imperfect quality items while considering cross selling effects. First, we have applied data mining techniques to find the relation between itemsets. Second, we applied the calculated cross selling effect to estimate the EOQ. Results have been validated with the help of numerical example.

The authors are with the Department of Computer Science Engineering, Amity School of Engineering and Technology, Bijwasan, New Delhi – 110061, India (e-mail: mmittal@amity.edu, mittal_mandeep@yahoo.com).

[PDF]

Cite: Mandeep Mittal, Juhi Singh, Amit Aggarwal, Khushboo Kumari, and Manan Yadav, "Ordering Policy for Imperfect Quality Itemsets Using Cross Selling Effects ," International Journal of Modeling and Optimization vol. 4, no. 1, pp. 25-30, 2014.

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