Optimizing perishable inventory systems: A double-order policy with Weibull-distributed demand

This study develops a new ordering policy for a Fixed Lifetime Inventory System (FLIS) by integrating the three-parameter Weibull distribution to model demand distribution. The proposed double-order inventory model addresses the challenges of perishability, demand uncertainty, and cost optimization by determining replenishment decisions based on the remaining useful lifetime of inventory items rather than stock levels A sensitivity analysis reveals that the Weibull scale parameter α shows an inverse relationship with total inventory cost in the double-order inventory system, while as the shape parameter β increased, it exhibits direction relationship with the cost components, though very minimal. On the other hand, smaller values of the location parameter τ caused a slight decrease to the cost components, while the Economic Order Quantity (EOQ) remain stable. Under the same demand expectation, the model demonstrates superior performance compared to the Poisson based double-order policy, by effectively reducing outdate cost by 40.5%. Practical implications highlight the importance of accurate demand estimation and dynamic inventory control systems for industries dealing with perishable goods. The study contributes to inventory management literature by bridging the gap between Weibull-distributed demand modeling and double-order policies, offering a robust framework for optimizing perishable inventory systems.

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Publication Details

Journal
Science World Journal
Published
2025-08-20
DOI
https://doi.org/10.4314/swj.v20i2.29
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
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article

Optimizing perishable inventory systems: A double-order policy with Weibull-distributed demand

J. S. Apanapudor, Charles Ugbosu
Science World Journal
Transportation and Mobility Innovations
article

Optimizing perishable inventory systems: A double-order policy with Weibull-distributed demand

J. S. Apanapudor, Charles Ugbosu
article en

Abstract

This study develops a new ordering policy for a Fixed Lifetime Inventory System (FLIS) by integrating the three-parameter Weibull distribution to model demand distribution. The proposed double-order inventory model addresses the challenges of perishability, demand uncertainty, and cost optimization by determining replenishment decisions based on the remaining useful lifetime of inventory items rather than stock levels A sensitivity analysis reveals that the Weibull scale parameter α shows an inverse relationship with total inventory cost in the double-order inventory system, while as the shape parameter β increased, it exhibits direction relationship with the cost components, though very minimal. On the other hand, smaller values of the location parameter τ caused a slight decrease to the cost components, while the Economic Order Quantity (EOQ) remain stable. Under the same demand expectation, the model demonstrates superior performance compared to the Poisson based double-order policy, by effectively reducing outdate cost by 40.5%. Practical implications highlight the importance of accurate demand estimation and dynamic inventory control systems for industries dealing with perishable goods. The study contributes to inventory management literature by bridging the gap between Weibull-distributed demand modeling and double-order policies, offering a robust framework for optimizing perishable inventory systems.

Science World JournalVol. 20(2)
Openalex Percentile: Top 74%
Transportation and Mobility Innovations
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