Published April 30, 2023 | Version CC BY-NC-ND 4.0
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Modified Ordering Policy for Items of Imperfect Quality with Allowable Proportionate Discount using Cross Selling Effects and Datamining Techniques

  • 1. Research Scholar, Kalinga University, Naya Raipur (Chhattisgarh), India.
  • 2. Associate Professor, Department of CSE, Kalinga University, Raipur (Chhattisgarh), India.
  • 3. Associate Professor, Department of Computer Science and Engineering, Kalam Institute of Technology, Berhampur (Odisha), India.

Contributors

  • 1. Associate Professor, Department of Computer Science and Engineering, Kalam Institute of Technology, Berhampur (Odisha), India.

Description

Abstract: Model of Economic Order Quantity (EOQ) in which cross-selling effects are taken into account and proportional discounts are allowed for products of lesser quality. Here, we introduce cross-selling impact as a means of establishing the ordering policy. To account for the benefits of upselling and cross-selling, we treat groups of frequently purchased items as discrete units for the purposes of calculating EOQ. Furthermore, the cross-selling impacts remain more pronounced when things are defective in nature. Initially, a number of data mining approaches are investigated in order to determine the best approach for establishing the necessary link among the item sets. By factoring in the cross-selling implications, we are able to have a better idea of the EOQ and move the project further. As it is anticipated that every lot contains some level of flaw, the work involves thorough lot-by-lot inspection. The faulty products eventually reached a total profit after varying discounts were applied. Finally, the results of the proposed model are shown through numerical examples.

Notes

Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) © Copyright: All rights reserved.

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Journal article: 2249-8958 (ISSN)

References

  • Mandeep Mittal, Juhi Singh and Sarla Pareek[1]. A new approach for eoq calculation using modi_ed opportunity cost. Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science), 15(1):106_110, 2022.
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  • Chung-Yuan Dye and Tsu-Pang Hsieh[2]. A particle swarm optimization for solving joint pricing and lot-sizing problem with _uctuating demand and unit purchasing cost. Computers & Mathematics with Applications, 60(7):1895_1907, 2010.
  • Rashmi Rani Patro, Rojalini Patro, Mitali Madhusmita Nayak, and Srikanta Patnaik[2]. A particle swarm optimization based eoq model in a imperfection production system with variable discount and shortages. In- ternational Journal of Computational Intelligence in Control , 13(2):63_69, 2021
  • Chandra K Jaggi, Satish K Goel, and Mandeep Mittal[2]. Credit _nancing in economic ordering policies for defective items with allowable shortages. Applied Mathematics and Computation, 219(10):5268_5282, 2013.

Subjects

ISSN: 2249-8958 (Online)
https://portal.issn.org/resource/ISSN/2249-8958#
Retrieval Number: 100.1/ijeat.D40810412423
https://www.ijeat.org/portfolio-item/d40810412423/
Journal Website: www.ijeat.org
https://www.ijeat.org
Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
https://www.blueeyesintelligence.org