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Year 2023, Volume: 23, 372 - 380, 30.09.2023
https://doi.org/10.55549/epstem.1371747

Abstract

References

  • Buisman, M. E., Haijema, R., & Bloemhof-Ruwaard, J. M. (2019). Discounting and dynamic shelf life to reduce fresh food waste at retailers. International Journal of Production Economics, 209, 274-284.
  • Chaudhary, V., Kulshrestha, R., & Routroy, S. (2018). State-of-the-art literature review on inventory models for perishable products. Journal of Advances in Management Research, 15(3), 306-346.
  • Fauza, G., Amer, Y., & Lee, S. H. (2013). Model of an integrated procurement-production system for food products incorporating quality loss during storage time. Volume 75 IACSIT-Internal Association of Computer Science.

Development of Inventory Model for Perishable Product with Dynamic Pricing

Year 2023, Volume: 23, 372 - 380, 30.09.2023
https://doi.org/10.55549/epstem.1371747

Abstract

: Perishable products are products whose value decreases over time. Inventory management for perishable products is a challenge experienced by retailers. Problems arise when inventory costs increase due to a large amount of wasted or waste products. This research aims to maximize profit by providing policy recommendations for inventory procurement under dynamic pricing. This research optimization focuses on determining the optimal order size and reorder level. To solve this problem, a simulation model is created by considering changes in product prices as product quality decreases. The simulation method in this study is a discrete event simulation using simulation software. Events in this inventory simulation include the arrival of customers and the addition or reduction of inventory levels. The replenishment policy in this study is continuous reviews. Simulation scenarios were generated to obtain an optimum order size and reorder level. The best scenario is obtained from a combination of optimum order size and reorder level. An inventory simulation model was generated based on fruit inventory data at one of the major retailers in Indonesia.

References

  • Buisman, M. E., Haijema, R., & Bloemhof-Ruwaard, J. M. (2019). Discounting and dynamic shelf life to reduce fresh food waste at retailers. International Journal of Production Economics, 209, 274-284.
  • Chaudhary, V., Kulshrestha, R., & Routroy, S. (2018). State-of-the-art literature review on inventory models for perishable products. Journal of Advances in Management Research, 15(3), 306-346.
  • Fauza, G., Amer, Y., & Lee, S. H. (2013). Model of an integrated procurement-production system for food products incorporating quality loss during storage time. Volume 75 IACSIT-Internal Association of Computer Science.
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Details

Primary Language English
Subjects Environmental and Sustainable Processes
Journal Section Articles
Authors

Teodosius Raditya Ananto

Nurhadi Sıswanto

Early Pub Date October 5, 2023
Publication Date September 30, 2023
Published in Issue Year 2023Volume: 23

Cite

APA Ananto, T. R., & Sıswanto, N. (2023). Development of Inventory Model for Perishable Product with Dynamic Pricing. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 23, 372-380. https://doi.org/10.55549/epstem.1371747