Inventory Model for Defective and Deteriorating Items With Two Production Rates, Stochastic Demand, and Payment Delay Within A Finite Horizon

An inventory production model is developed specifically for managing deteriorating items, encompassing the presence of defective items within the production process. Within this framework, demand is modelled as stochastic, following the Wiener process. Notably, the planning horizon is constrained to a finite timeframe. Additionally, the model incorporates the assumption of shortages, two distinct production rates, reflecting the dynamic nature of real-world manufacturing operations. Furthermore, the impact of delays in payments for raw materials, from the manufacturer to the supplier, is also accounted. The resolution of the stochastic integral is achieved through the rigorous application of the Riemann integral method. The model is solved, and the optimal cost is calculated demonstrating effective management strategies. A numerical example is solved, followed by sensitivity analysis to illustrate practical applications. This article offers an approach to optimize inventory management under complex real-world constraints.

Authors

Publication Details

Journal
Malaysian Journal of Mathematical Sciences
Published
2025-03-24
DOI
https://doi.org/10.47836/mjms.19.1.08
Citations
1
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
2.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inventory Model for Defective and Deteriorating Items With Two Production Rates, Stochastic Demand, and Payment Delay Within A Finite Horizon

Neetu Mishra, Monika Budania
1 citations
Malaysian Journal of Mathematical Sciences
Supply Chain and Inventory Management
2.28
article

Inventory Model for Defective and Deteriorating Items With Two Production Rates, Stochastic Demand, and Payment Delay Within A Finite Horizon

Neetu Mishra, Monika Budania
article en
1 citations

Abstract

An inventory production model is developed specifically for managing deteriorating items, encompassing the presence of defective items within the production process. Within this framework, demand is modelled as stochastic, following the Wiener process. Notably, the planning horizon is constrained to a finite timeframe. Additionally, the model incorporates the assumption of shortages, two distinct production rates, reflecting the dynamic nature of real-world manufacturing operations. Furthermore, the impact of delays in payments for raw materials, from the manufacturer to the supplier, is also accounted. The resolution of the stochastic integral is achieved through the rigorous application of the Riemann integral method. The model is solved, and the optimal cost is calculated demonstrating effective management strategies. A numerical example is solved, followed by sensitivity analysis to illustrate practical applications. This article offers an approach to optimize inventory management under complex real-world constraints.

Malaysian Journal of Mathematical SciencesVol. 19(1)
Openalex Percentile: Top 14%
Supply Chain and Inventory Management
2.28
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.

Inventory Model for Defective and Deteriorating Items With Two Production Rates, Stochastic Demand, and Payment Delay Within A Finite Horizon — Neetu Mishra, Monika Budania · Malaysian Journal of Mathematical Sciences (2025) | TGRS Research Map | TGRS