An Inventory Model with Price Dependent demand with Partial Backlogging and Preservation Technology
DOI:
https://doi.org/10.63671/ijsssr.v1i4.191Keywords:
Preservation Technology, Partial backlogging, Price dependent demandAbstract
This paper investigates an inventory model that includes partial backlogging, price dependent demand and preservation technology integration. This paper integrates EOQ model for deteriorating items in which demand is determined by selling price, stock, and investment in green technology (or carbon reduction investment), and the rate of deterioration is controlled by investment in preservation technology.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Science and Social Science Research

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Similar Articles
- Rajeev Kumar, Chandramouli A.B, Mukta Vats, An EOQ Model for Deteriorating items with Time and Advertisement dependent demand under the Effect of Learning and Inflation , International Journal of Science and Social Science Research: Vol. 2 No. 4: January-March 2025
- Mukta Vats, Rajeev Kumar, Chandramouli A.B, A Two Ware-houses Inventory Model with Different Deterioration rate under Learning Effect , International Journal of Science and Social Science Research: Vol. 2 No. 4: January-March 2025
- Rajeev Kumar, Chandramouli A.B, Mukta Vats, Impact of carbon emission and learning effect on dual channel supply chain with deteriorating items , International Journal of Science and Social Science Research: Vol. 2 No. 4: January-March 2025
- Sanjeev Kumar, Rajeev Siwach, An Inventory Model with Partial Backlogging and Demand Depending on Circularity Index , International Journal of Science and Social Science Research: Vol. 1 No. 4: January-March 2024
- Mayank Jain, Saurav Kumar, Akshay Kumar, Exploring Radio Frequency Identification (RFID) Applications for Enhanced User Experience: Innovation in Library Technology , International Journal of Science and Social Science Research: Vol. 2 No. 2: July-September 2024
- Yssoufa Thabiti, Fatima Zahra Moussaid, Irchad Ahmed, Oil Price Fluctuations and Food Inflation in the Comoros: A Nonlinear ARDL Approach , International Journal of Science and Social Science Research: Vol. 3 No. 4: January-March 2026
- Yiyang Wang, Chukiat Chaiboonsri, Nisit Panthamit, Recent Economic Growth of China: A Forecasting Approach with Exogenous Factors , International Journal of Science and Social Science Research: Vol. 3 No. 1: April-June 2025
- Tushar Tiwari, Tanishka Garg, Gangotri Singh, Shreya Mishra, Kanika Guleria, Optimizing Food Utilization: A Smart Inventory Management and AI-Predictive Analytics in Reducing Food Waste , International Journal of Science and Social Science Research: Vol. 2 No. 3: October-December 2024
- Lekhraj Balmiki, M = ∫ [I(t) + E(t) + C(t)] dt : The Gorkhaland Movement as the Integral of Unresolved Identity, Economic, and Cultural Grievances , International Journal of Science and Social Science Research: Vol. 3 No. 4: January-March 2026
- Pralay Poria, Justifiable Logistic Network Management: A Production Model for Optimizing Energy Use, Cost, and Carbon Radiations , International Journal of Science and Social Science Research: Vol. 1 No. 3: October-December 2023
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Sanjeev Kumar, Rajeev Siwach, An Inventory Model with Partial Backlogging and Demand Depending on Circularity Index , International Journal of Science and Social Science Research: Vol. 1 No. 4: January-March 2024
SEMANTIC SCHOLAR 