Impact of inflation on sustainable inventory model with stock dependent demand with carbon emission

In the wake of environmental concerns and the growing recognition of climate change's impacts, the integration of sustainability principles into inventory management practices has become imperative. This study proposes a novel sustainable inventory model tailored for green warehouse farms, aiming to minimize carbon emissions while effectively managing inventory amidst inflationary pressures and stock-dependent demand fluctuations. The model incorporates controllable carbon emissions as a key performance indicator, aligning with the sustainability objectives of green warehouse farms. Recognizing the dual objectives of minimizing emissions and meeting customer demand, the model optimizes inventory levels while considering the carbon footprint associated with various inventory management decisions. In this study non-instantaneous deterioration to show the lifetime of product freshness when presence of a constant backorder. The objective of this model is to minimise total cost. The proposed model is validated through a numerical example. Conducting sensitivity analysis allows us to investigate the impact of different parameters on the optimal solution.

Authors

Publication Details

Journal
International Transactions in Mathematical Sciences and Computer
Published
2025-01-01
DOI
https://doi.org/10.58517/itmsc.2025.18101
Citations
1
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.68
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of inflation on sustainable inventory model with stock dependent demand with carbon emission

Santosh Santosh, S. R. Pundir, Awadhesh Chandramauli
1 citations
International Transactions in Mathematical Sciences and Computer
Transportation and Mobility Innovations
0.68
article

Impact of inflation on sustainable inventory model with stock dependent demand with carbon emission

Santosh Santosh, S. R. Pundir, Awadhesh Chandramauli
article en
1 citations

Abstract

In the wake of environmental concerns and the growing recognition of climate change's impacts, the integration of sustainability principles into inventory management practices has become imperative. This study proposes a novel sustainable inventory model tailored for green warehouse farms, aiming to minimize carbon emissions while effectively managing inventory amidst inflationary pressures and stock-dependent demand fluctuations. The model incorporates controllable carbon emissions as a key performance indicator, aligning with the sustainability objectives of green warehouse farms. Recognizing the dual objectives of minimizing emissions and meeting customer demand, the model optimizes inventory levels while considering the carbon footprint associated with various inventory management decisions. In this study non-instantaneous deterioration to show the lifetime of product freshness when presence of a constant backorder. The objective of this model is to minimise total cost. The proposed model is validated through a numerical example. Conducting sensitivity analysis allows us to investigate the impact of different parameters on the optimal solution.

International Transactions in Mathematical Sciences and ComputerVol. 18(01)
Openalex Percentile: Top 25%
Transportation and Mobility Innovations
0.68
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Impact of inflation on sustainable inventory model with stock dependent demand with carbon emission — Santosh Santosh, S. R. Pundir, et al. · International Transactions in Mathematical Sciences and Computer (2025) | TGRS Research Map | TGRS