Skip to main content

Advertisement

Log in

A Production Inventory Model to Study the Supply Chain of Agri-Product for a Time Reliant Population

  • Original Paper
  • Published:
International Journal of Applied and Computational Mathematics Aims and scope Submit manuscript

Abstract

In the field of inventory management, the production inventory plays a vital role in optimizing the production rate and minimizing the cost involved in production and inventory control. In most of the cases it is observed that, demand is taken as function of price, time, stock, etc., however, the quantity of consumption by a particular population group is often neglected while developing a production inventory model. Further, to cope up with average consumption of a time dependent population in a certain region, it is necessary to determine the optimal production rate to maintain the supply chain. In this paper, an attempt has been made to develop a production inventory model to determine the optimum production rate of an agricultural product under the assumption of average consumption by a population. The objective function consists of setup cost, deterioration cost, transportation cost, carbon emission cost and the production cost. The model is solved under three different cases such as- considering holding cost, green investment, and preservation cost. Moreover, a comparison has been made among the different cases taken under study for least average total cost. Further, the model is validated with numerical examples followed by sensitivity analysis of the systems parameters.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

Not applicable.

References

  1. Bhattacharjee, N., Sen, N.: A sustainable production inventory model for profit maximization under optimum raw material input rate during production. Opsearch (2021). https://doi.org/10.1007/s12597-021-00554-0

    Article  Google Scholar 

  2. Budiono, R., Juahir, H., Sukono, N.M., Mamat, M., Prabowo, A.: Logistic growth model and harvesting factors. Int. J. Adv. Sci. Technol. 29(6), 3310–3319 (2020)

    Google Scholar 

  3. Buttar, G.S., Sharma, R.: Production inventory model under time dependent demand, uneven manufacturing rate and manufacturing time dependent selling price. J. Univ. Shanghai Sci. Technol. 23(4), 225–237 (2021)

    Article  Google Scholar 

  4. Cardenas-Barron, L.E., Sana, S.S.: A production-inventory model for two-echelon supply chain when demand is dependent on sales teams’ initiative. Int. J. Prod. Econ. 155, 249–258 (2014)

    Article  Google Scholar 

  5. Chakrabarty, R., Roy, T., Chaudhury, K.S.: A production: inventory model for defecting items with shortages incorporating inflation and time value of money. Int. J. Appl. Comput. Math. 3, 195–212 (2017)

    Article  MathSciNet  Google Scholar 

  6. Das, S., Manna, A.K., Mahmoud, E.E., Abdulnaj, K.M., Abdel-Aty, A.H., Shaikh, A.A.: Product replacement policy in a production inventory model with replacement period – stock, and price- dependent demand. Hindawi. J. Math. 6, 81 (2020). https://doi.org/10.1155/2020/6697279

    Article  MATH  Google Scholar 

  7. Gautam, P., Kamna, K.M., Jaggi, C.K.: Sustainable production policies under the effect of volume agility, preservation technology, and price reliant demand. Yugosl. J. Oper. Res. 30(3), 307–324 (2020)

    Article  MathSciNet  Google Scholar 

  8. Gautam, P., Khanna, A.: An imperfect production inventory model with setup cost reduction and carbon emission for an integrated supply chain. Uncertain Supply Chain Manag. 6, 271–286 (2018)

    Article  Google Scholar 

  9. Ghosh, P.K., Manna, A.K., Dey, J.K.: Deteriorating manufacturing system with selling price discount under random machine breakdown. Int. J. Comput. Eng. Manag. 20(5), 8–17 (2017)

    Google Scholar 

  10. Giri, B.C., Roy, B.: A vendor- buyer integrated production inventory model with quantity discount and unequal sized shipments. Int. J. Oper. Res. 16(1), 1–13 (2013)

    Article  MathSciNet  Google Scholar 

  11. Goyal, S.K., Nebebe, F.: Determination of economic production- shipment policy for a single-vendor- single- buyer System. Eur. J. Oper. Res. 121, 175–178 (2000)

    Article  Google Scholar 

  12. Halim, A., Paul, A., Mahmoud, M., Alshahrani, B., Alazzawi Atheelah, Y.M., Ismail, G.M.: An overtime production inventory model for deteriorating items with nonlinear price and stock dependent demand. Alex. Eng. J. 60(3), 2779–2786 (2021)

    Article  Google Scholar 

  13. Jaggi, C.K., Khanna, A.: Credit financing for deteriorating imperfect- quality items under inflationary conditions. Int. J. Serv. Informatics. 6(4), 292–309 (2011)

    Google Scholar 

  14. Jain, S., Tiwari, S., Cardenas-Barron, L.E., Shaikh, A.A., Singh, S.R.: A fuzzy imperfect production and repair inventory model with time dependent demand, production and repair rates under inflationary conditions. RAIRO- Oper. Res. 52(1), 217–239 (2018)

    Article  MathSciNet  Google Scholar 

  15. Jayaswal, M.K., Sangal, I., Mittal, M., Malik, S.: Effect of learning on retailer ordering policy for imperfect quality items with trade credit financing. Uncertain Supply Chain Manag. 7, 49–62 (2019)

    Article  Google Scholar 

  16. Kamna, K.M., Gautam, P., Jaggi, C.K.: Sustainable inventory policy for an imperfect production system with energy usage and volume agility. Int. J. Assur. Eng. Manag. 12(1), 44–52 (2021)

    Google Scholar 

  17. Kumar, V., Sarkar, B., Sharma, A.N., Mittal, M.: New product launching with pricing, free replacement, rework, and warranty policies via genetic algorithm approach. Int. J. Comput. Intell. Syst. 12(2), 519–529 (2019)

    Article  Google Scholar 

  18. Manna, A.K., Dey, J.K., Mondal, S.K.: Controlling GHG emission from industrial waste perusal of production inventory model with fuzzy pollution parameters. Int. J. Syst.: Sci Oper. Logist. 6(4), 368–393 (2019)

    Google Scholar 

  19. Mashud, A.H., Roy, D., Daryanto, A.M.H.: A sustainable inventory model with imperfect products, deterioration, and controllable emissions. Mathematics. 8, 1–21 (2020)

    Google Scholar 

  20. Mishra, U., Mashud, U., Tseng, M.-L., Wu, J.-Z.: Optimizing a sustainable supply chain inventory model for controllable deterioration and emission rates in a greenhouse farm. Mathematics. 9(5), 1–23 (2020)

    Google Scholar 

  21. Mishra, U., Wu, J., Sarkar, B.: A sustainable production-inventory model for a controllable carbon emission rate under shortages. J. Clean. Prod. 256, 120268 (2020)

    Article  Google Scholar 

  22. Mwakissile, A.J., Mushi, A.R.: Mathematical model for Tanzania population growth”. Tanz. J. Sci. 45(3), 346–354 (2019)

    Google Scholar 

  23. Ofori, T., Ephraim, L., Nyarko, F.: Mathematical model of Ghana’s population growth. Int. J. Mod. Manag. Sci. 2(2), 57–66 (2013)

    Google Scholar 

  24. Palanivel, M., Gowri, S.: A production-inventory model with delayed deteriorating item with quadratic and price dependent demand. Int. J. Pure Appl. Math. 119(15), 3271–3283 (2018)

    Google Scholar 

  25. Pan, J., Chiu, C., Wu, K., Yen, H., Wang, Y.: Sustainable production- inventory model in technical cooperation on investment to reduce carbon emissions. Processes 8(1438), 1–17 (2020)

    Google Scholar 

  26. Rahman, M.S., Manna, A.K., Shaikh, A.A., Bhunia, A.K.: An application of interval differential equation on a production inventory model with interval- valued demand via centre- radius optimization technique and particle swarm optimization. Int. J. Intell. Syst. 35(8), 1280–1326 (2020)

    Article  Google Scholar 

  27. Ritha, W., Poongodisathiya, S.: Optimal green inventory model to regulate eco-friendly environment. Int. J. latest Res. Eng. Technol. 4(5), 13–16 (2018)

    Google Scholar 

  28. Sana, S.S.: A production inventory model in an imperfect production process. Eur. J. Oper. Res. 200, 451–465 (2010)

    Article  MathSciNet  Google Scholar 

  29. Shen, Y., Shen, K., Yang, C.: A production inventory model for deteriorating items with collaborative preservation technology investment under carbon tax. Sustainability 11(18), 1–18 (2019)

    Google Scholar 

  30. Sivashankari, C.K., Panayappan, S.: Production inventory model for two level production with deteriorative items and shortages. Int. J. Adv. Manuf. Technol. 76, 2003–2014 (2015)

    Article  Google Scholar 

  31. Wali, A., Kagoyire, E., Icyingeneye, P.: Mathematical modeling of Uganda population growth. Appl. Math. Sci. 6(84), 4155–4168 (2012)

    MATH  Google Scholar 

  32. Wei, H., Jiang, Y., Zhang, Y.: A review of two population growth models and an analysis of factors affecting the Chinese population growth. Asian J. Econ. Modell. 3(1), 8–20 (2015)

    Article  Google Scholar 

  33. Yadav, R., Pareek, S., Mittal, M.: Supply chain models with imperfect quality items when end demand is sensitive to price and marketing expenditure. RAIRO-Oper. Res. 52, 725–742 (2018)

    Article  MathSciNet  Google Scholar 

  34. Yang, P., Wee, H.M.: An integral multi-lot-size production inventory model for deteriorating item. Comp. & Oper. Res. 30, 671–682 (2003)

    Article  Google Scholar 

  35. Zhang, B., Xu, L.: Multi-item production planning with carbon cap and trade mechanism. Int. J. Prod. Econ. 144, 118–127 (2013)

    Article  Google Scholar 

Download references

Funding

None.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nabendu Sen.

Ethics declarations

Conflict of interest

The authors don’t have any competing interest.

Human and animal rights

No animal is used while conducting the research.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bhattacharjee, N., Nath, B.K., Sen, N. et al. A Production Inventory Model to Study the Supply Chain of Agri-Product for a Time Reliant Population. Int. J. Appl. Comput. Math 8, 97 (2022). https://doi.org/10.1007/s40819-022-01286-5

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40819-022-01286-5

Keywords

Navigation