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).
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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.
