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A Channel Financing Policy for an EOQ Model of Fast-Moving Consumer Goods with Fuzzy Approach

Author

Listed:
  • Manisha Pant

    (Gurukul Kangri (Deemed to be University))

  • Neelanjana Rajput

    (Govt. Degree College)

  • Seema Sharma

    (Gurukul Kangri (Deemed to be University))

  • Anand Chauhan

    (Graphic Era (Deemed to be University))

Abstract

In the present scenario, coronavirus became a huge issue all over the world. During the crucial period of COVID-19, the market demand for several commodities increased by 400%. The fast-moving consumer goods (FMCG) firms (that make energy drinks, ready-to-eat meals, and hand sanitizer) increased production significantly to meet the demand. So, the retailer is unable to pay on time due to the financial crisis. So, an EOQ model developed here considering the channel financing strategies, which assist vendors in promoting their businesses despite a lack of financial resources. The rate of demand is fuzzy for FMCG items and is extremely sensitive and unpredictable during this crucial phase. Consumption is increasing at an exponential rate, and there is a resource shortage in stock. The optimal solution has been provided using the signed distance method with an octagonal fuzzy number. To demonstrate the model’s robustness, an appropriate numerical illustration which shows the total cost is reduced in a fuzzy environment and we get an optimized result for the described EOQ model. A sensitivity analysis of the overall cost has been discussed.

Suggested Citation

  • Manisha Pant & Neelanjana Rajput & Seema Sharma & Anand Chauhan, 2024. "A Channel Financing Policy for an EOQ Model of Fast-Moving Consumer Goods with Fuzzy Approach," SN Operations Research Forum, Springer, vol. 5(1), pages 1-27, March.
    • Handle: RePEc:spr:snopef:v:5:y:2024:i:1:d:10.1007_s43069-023-00282-9
    DOI: 10.1007/s43069-023-00282-9
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    References listed on IDEAS

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    1. Neelanjana Rajput & Anand Chauhan & R.K. Pandey, 2021. "EOQ model with a discount rate of inflation and optimisation with pentagonal fuzzy number," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 20(2), pages 264-280.
    2. Minh-Tai Le & Nhat-Luong Nhieu, 2022. "A Novel Multi-Criteria Assessment Approach for Post-COVID-19 Production Strategies in Vietnam Manufacturing Industry: OPA–Fuzzy EDAS Model," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
    3. Pal, Shilpi & Mahapatra, G.S. & Samanta, G.P., 2014. "An EPQ model of ramp type demand with Weibull deterioration under inflation and finite horizon in crisp and fuzzy environment," International Journal of Production Economics, Elsevier, vol. 156(C), pages 159-166.
    4. Manisha Pant & Seema Sharma & Anand Chauhan, 2022. "Optimal replenishment and preservation investment policy for hybrid demand with trade credit schemes," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 23(2), pages 232-258.
    5. Tai, Allen H. & Xie, Yue & He, Wanhua & Ching, Wai-Ki, 2019. "Joint inspection and inventory control for deteriorating items with random maximum lifetime," International Journal of Production Economics, Elsevier, vol. 207(C), pages 144-162.
    6. Lauren E. Gloekler & Elise J. de Gandiaga & Natalie R. Binczewski & Katie G. Steimel & Andrey Massarsky & Jordan Kozal & Melissa Vincent & Rachel Zisook & Mark J. LaGuardia & Scott Dotson & Shannon Ga, 2022. "Evaluation of the Safety and Efficacy of Hand Sanitizer Products Marketed to Children Available during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(21), pages 1-18, November.
    7. S.K. Indrajitsingha & P.N. Samanta & U.K. Misra, 2018. "A fuzzy inventory model for deteriorating items with stock dependent demand rate," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 30(4), pages 538-555.
    8. Ateka Banu & Shyamal Kumar Mondal, 2020. "Analyzing an inventory model with two-level trade credit period including the effect of customers’ credit on the demand function using q-fuzzy number," Operational Research, Springer, vol. 20(3), pages 1559-1587, September.
    9. Dye, Chung-Yuan & Chang, Horng-Jinh & Teng, Jinn-Tsair, 2006. "A deteriorating inventory model with time-varying demand and shortage-dependent partial backlogging," European Journal of Operational Research, Elsevier, vol. 172(2), pages 417-429, July.
    10. Sanat Kumar Mahato & Nabaranjan Bhattacharyee & Rajesh Pramanik, 2020. "Fuzzy reliability redundancy optimisation with signed distance method for defuzzification using genetic algorithm," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 37(3), pages 307-323.
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