-
July to September 2026 Article ID: NSS9964 Impact Factor:8.05 Cite Score:60 Download: 0 DOI: https://doi.org/10.63574/nss.9964 View PDf
A Sustainable Inventory Model for Perishable Biological Products Incorporating Quality Degradation, Demand Uncertainty and Innovative Waste Management
Dr. Kalpna Singh
Department of Zoology, Govt. Degree College, Ninowa, Farrukhabad (U.P.)Shilpi Singh
Department of Mathematics, Govt. Degree College, Latif Nagar, Sarojini Nagar (U.P.)
Abstract: The management of
perishable biological products presents a significant challenge because their
quality and usability decline with time. Vaccines, diagnostic kits, biological
reagents, pharmaceutical products and other temperature-sensitive biological
materials require appropriate inventory policies to minimize deterioration,
wastage and storage-related costs. Conventional inventory models generally
focus on ordering, holding and shortage costs and may not adequately represent
the special characteristics of biological inventories.
This
research paper proposes an innovative sustainable inventory model for
perishable biological products by incorporating deterioration, uncertain
demand, holding cost, shortage cost, quality degradation and waste-disposal
cost within a unified framework. The proposed model aims to determine an
optimal replenishment policy that minimizes the overall inventory-related cost
while maintaining an adequate supply of biological products. The model also
considers the economic and environmental consequences of product deterioration
and expiry. A mathematical formulation is developed and an illustrative
numerical example is presented to demonstrate the applicability of the proposed
approach. Sensitivity analysis is used to examine the effect of important
parameters, including deterioration rate, demand rate, storage cost and
disposal cost, on the optimal inventory policy. The proposed framework provides
a useful decision-support approach for healthcare institutions, diagnostic
laboratories, pharmaceutical organizations and biological research facilities.
The study highlights how innovative inventory modelling can contribute to
efficient, economical and sustainable management of biological resources.
