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An appropriate business strategy for a sale item

Author

Listed:
  • Prasenjit Pramanik

    (Vidyasagar University)

  • Manas Kumar Maiti

    (Mahishadal Raj College)

  • Manoranjan Maiti

    (Vidyasagar University)

Abstract

In this research work for first time a model has been proposed to find an appropriate business strategy for a seasonal sale/sale item. Here, an EOQ model for an item has been developed with selling price and time dependent demand under retailer promotional effort, where a wholesaler offers a conditional credit period to his/her retailer to boost the demand of the item to clear the end season stock. Here, it is assumed that, wholesaler offers a credit period to his/her retailer depending upon the order quantity. But retailer does not offer any credit to his/her customers. In this paper, the base demand decreases with increase of time and also no credit is available for the customers, so the base demand goes down. On the other hand, to maintain the base demand, the retailer introduced a promotional effort to boost the demand and also the less selling price increases the base demand. Due to the uncertainty of the different costs, related to the inventory control system, the proposed model also developed in imprecise environments i.e., in fuzzy, rough environments. The main purpose of this paper is to find the optimal order quantity for retailer in such a way that the profit is maximized. Under these considerations a particle swarm optimization algorithm is implemented to find the most appropriate business strategy. Here an approach is proposed which finds marketing decision of the fuzzy and rough models using credibility measure of a fuzzy event and trust measure of a rough event correspondingly, without transferring fuzzy/rough objective to any crisp equivalent. The models are illustrated with different numerical examples and some managerial insights are outlined.

Suggested Citation

  • Prasenjit Pramanik & Manas Kumar Maiti & Manoranjan Maiti, 2018. "An appropriate business strategy for a sale item," OPSEARCH, Springer;Operational Research Society of India, vol. 55(1), pages 85-106, March.
    • Handle: RePEc:spr:opsear:v:55:y:2018:i:1:d:10.1007_s12597-017-0310-0
    DOI: 10.1007/s12597-017-0310-0
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    References listed on IDEAS

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    1. Jaggi, Chandra K. & Goyal, S.K. & Goel, S.K., 2008. "Retailer's optimal replenishment decisions with credit-linked demand under permissible delay in payments," European Journal of Operational Research, Elsevier, vol. 190(1), pages 130-135, October.
    2. Gour Chandra Mahata & Sujit Kumar De, 2016. "An EOQ inventory system of ameliorating items for price dependent demand rate under retailer partial trade credit policy," OPSEARCH, Springer;Operational Research Society of India, vol. 53(4), pages 889-916, December.
    3. Wee, Hui-Ming & Lo, Chien-Chung & Hsu, Ping-Hui, 2009. "A multi-objective joint replenishment inventory model of deteriorated items in a fuzzy environment," European Journal of Operational Research, Elsevier, vol. 197(2), pages 620-631, September.
    4. De, Sujit Kumar & Sana, Shib Sankar, 2013. "Fuzzy order quantity inventory model with fuzzy shortage quantity and fuzzy promotional index," Economic Modelling, Elsevier, vol. 31(C), pages 351-358.
    5. Ouyang, Liang-Yuh & Teng, Jinn-Tsair & Goyal, Suresh Kumar & Yang, Chih-Te, 2009. "An economic order quantity model for deteriorating items with partially permissible delay in payments linked to order quantity," European Journal of Operational Research, Elsevier, vol. 194(2), pages 418-431, April.
    6. Taleizadeh, Ata Allah & Noori-daryan, Mahsa & Cárdenas-Barrón, Leopoldo Eduardo, 2015. "Joint optimization of price, replenishment frequency, replenishment cycle and production rate in vendor managed inventory system with deteriorating items," International Journal of Production Economics, Elsevier, vol. 159(C), pages 285-295.
    7. Kumar Maiti, Manas, 2011. "A fuzzy genetic algorithm with varying population size to solve an inventory model with credit-linked promotional demand in an imprecise planning horizon," European Journal of Operational Research, Elsevier, vol. 213(1), pages 96-106, August.
    8. Y-F Huang, 2003. "Optimal retailer's ordering policies in the EOQ model under trade credit financing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(9), pages 1011-1015, September.
    9. Cárdenas-Barrón, Leopoldo Eduardo & Sana, Shib Sankar, 2014. "A production-inventory model for a two-echelon supply chain when demand is dependent on sales teams׳ initiatives," International Journal of Production Economics, Elsevier, vol. 155(C), pages 249-258.
    10. Sujit De & Shib Sana, 2015. "Backlogging EOQ model for promotional effort and selling price sensitive demand- an intuitionistic fuzzy approach," Annals of Operations Research, Springer, vol. 233(1), pages 57-76, October.
    11. Khanra, S. & Mandal, Buddhadev & Sarkar, Biswajit, 2013. "An inventory model with time dependent demand and shortages under trade credit policy," Economic Modelling, Elsevier, vol. 35(C), pages 349-355.
    12. Maiti, Manas Kumar & Maiti, Manoranjan, 2007. "Two-storage inventory model with lot-size dependent fuzzy lead-time under possibility constraints via genetic algorithm," European Journal of Operational Research, Elsevier, vol. 179(2), pages 352-371, June.
    13. Mohini Kumari & T. P. M. Pakkala, 2016. "Inventory policy for deteriorating items under trade credit when time of payment is uncertain," OPSEARCH, Springer;Operational Research Society of India, vol. 53(1), pages 178-196, March.
    14. Sarkar, Biswajit & Saren, Sharmila & Wee, Hui-Ming, 2013. "An inventory model with variable demand, component cost and selling price for deteriorating items," Economic Modelling, Elsevier, vol. 30(C), pages 306-310.
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