Optimal Pricing, Quality Investment and Replenishment Policies for Perishable Items

Authors(2) :-Ashaba D. Chauhan, Hardik N. Soni

This paper discusses optimality of replenishment cycle time, selling price, quality investment cost and order quantity with simultaneous deterioration of quality and physical quantity. Most of models assume the quality of items does not decay before their expiration dates. In practice, the quality of many products often deteriorate over time, applying quality investment makes us able to maintain freshness of items. The quality of an item usually plays an important role in influencing factor of demand for product. Demand rate is dependent on the selling price and the quality of an product. The model seeks to maximize the total profit of the model by determining the optimality of decision variable. In order to analyse the behaviour of the model and numerical example accompanied by sensitivity analyses of key parameters of the model are provided.

Authors and Affiliations

Ashaba D. Chauhan
Department of Mathematics, D. L. Patel Science College, Himmatnagar, Gujarat, India
Hardik N. Soni
Chimanbhai Patel Post Graduate Institute of Computer Applications, Ahmedabad, Gujarat, India

  1. Avinadav, T., Chernonog, T., Lahav, Y., Spiegel, U. (2016) Dynamic pricing and promotion
  2. expenditures in an EOQ model of perishable products. Annals of Operations Research. 248(1-2):1–17.
  3. Bardhan, S., Pal, H., Giri, B.C. (2017) Optimal replenishment policy and preservation technology
  4. investment for a non-instantaneous deteriorating item with stock-dependent demand. Operational Research, 17:1–22.
  5. Dey O, Mukherjee A. (2018) An integrated imperfect production inventory model with lot-size-
  6. Dependent lead-time and quality control. Springer Proceedings in Mathematics & Statistics. 225:303-314.
  7. Feng L. (2018) Dynamic pricing, quality investment and replenishment model for perishable items.
  8. International Transactions in Operational Research, https://doi.org/10.1111/itor.12505.
  9. Giovanni P. D. (2011) Quality improvement vs. advertising support: Which strategy works better for
  10. a manufacturer? European Journal of Operational Research. 208(2):119-130.
  11. Herbon A., Levner E., Cheng T. C. (2014) Perishable inventory management with dynamic pricing
  12. Using time-temperature indicators linked to automatic detecting devices. International Journal of Production Economics. 147:605-613.
  13. Hsieh T. P., Dye C. Y. (2013) A production-inventory model incorporating the effect of preservation
  14. technology investment when demand is fluctuating with time. Journal of Computational and Applied Mathematics. 239:25-36.
  15. Hsiao Y. H., Chen M. C., Chin C. L. (2017) Distribution planning for perishable foods in cold chains
  16. With quality concerns: Formulation and solution procedure. Trends in Food Science & Technology. 61:80-93.
  17. Hsu P H., Wee H. M., Teng H. M. (2010) Preservation technology investment for deteriorating
  18. Inventory. International Journal of Production Economics. 124(2):388-394.
  19. Jaggi C. K., Tiwari S., Shafi A. (2015) Effect of deterioration on two-warehouse inventory model
  20. with imperfect quality. Computers and Industrial Engineering. 88:378-385.
  21. Jindal P., Solanki A. (2016) Integrated supply chain inventory model with quality improvement
  22. involving controllable lead time and backorder price discount. International Journal of
  23. Industrial Engineering Computations. 7:463-480.
  24. Liu G, Zhang J., Tang W. (2015) Joint dynamic pricing and investment strategy for perishable foods
  25. With price-quality dependent demand. Annals of Operations Research. 226(1):397-416.
  26. Panda S., Modak N. M. (2016) An inventory model for random replenishment interval and imperfect
  27. quality items under demand fluctuation. International Journal of Supply Chain and Inventory Management. 1(4):269.
  28. Qin Y, Wang J., Wei C. (2014) Joint pricing and inventory control for fresh produce and foods with
  29. Quality and physical quantity deteriorating simultaneously. International Journal of Production Economics. 152:42-48.
  30. Shah N. H., Chaudhari U., Jani M. Y. (2018) Optimal control analysis for service, inventory and
  31. preservation technology investment. International Journal of Systems Science: Operations & Logistics. https://doi.org/10.1080/23302674.2018.1447167
  32. Vijayashree M., Uthayakumar R. (2016) An optimizing integrated inventory model with investment
  33. For quality improvement and setup cost reduction. International Journal of Information Technology, Control and Automation. 6(3/4):1-13.
  34. Xie G, Yue W., Wang S., Lai K. K. (2011) Quality investment and price decision in a risk-averse
  35. supply chain. European Journal of Operational Research. 214(2):403-410.
  36. Yu H F., Chen Y. (2017) An integrated inventory model for items with acceptable defective items
  37. Under warranty and quality improvement investment. Quality Technology & Quantitative Management. 1-14.

Publication Details

Published in : Volume 4 | Issue 8 | May-June 2018
Date of Publication : 2018-05-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 545-551
Manuscript Number : IJSRSET1848147
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Ashaba D. Chauhan, Hardik N. Soni, " Optimal Pricing, Quality Investment and Replenishment Policies for Perishable Items, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 8, pp.545-551, May-June-2018.
Journal URL : http://ijsrset.com/IJSRSET1848147

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