Emergency Supply Alternatives for a Storage Facility of a Repairable Multi-Component System

This paper studies a continuous-review stochastic replenishment model for a multi-component system with regular and emergency orders. The system consists of N parallel and independent components, each of which has a finite life span. In addition, there is a warehouse with a limited stock of new components. Each broken component is replaced by a new component from the stock. When no component is available, an emergency supply is ordered. The stock is managed according to an ((s,S),(0,Qe)) policy, which is a combination of an (s,S) policy for the regular order and a (0,Qe) policy for the emergency order. The regular order is delivered after an exponentially distributed lead time, whereas the emergency order is delivered immediately. We study three sub-policies for emergency orders, which differ from each other in size and in relation to the regular order. Applying the results from queueing theory and phase-type properties, we derive the optimal thresholds for each sub-policy and then compare the economic benefit of each one.

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Publication Details

Journal
Mathematics
Published
2024-08-31
DOI
https://doi.org/10.3390/math12172730
Primary Topic
Advanced Queuing Theory Analysis
Type
article
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article

Emergency Supply Alternatives for a Storage Facility of a Repairable Multi-Component System

Yonit Barron, Chananel Benshimol
Mathematics
Advanced Queuing Theory Analysis
article

Emergency Supply Alternatives for a Storage Facility of a Repairable Multi-Component System

Yonit Barron, Chananel Benshimol
article en

Abstract

This paper studies a continuous-review stochastic replenishment model for a multi-component system with regular and emergency orders. The system consists of N parallel and independent components, each of which has a finite life span. In addition, there is a warehouse with a limited stock of new components. Each broken component is replaced by a new component from the stock. When no component is available, an emergency supply is ordered. The stock is managed according to an ((s,S),(0,Qe)) policy, which is a combination of an (s,S) policy for the regular order and a (0,Qe) policy for the emergency order. The regular order is delivered after an exponentially distributed lead time, whereas the emergency order is delivered immediately. We study three sub-policies for emergency orders, which differ from each other in size and in relation to the regular order. Applying the results from queueing theory and phase-type properties, we derive the optimal thresholds for each sub-policy and then compare the economic benefit of each one.

MathematicsVol. 12(17)
Ariel University (IL)
Openalex Percentile: Top 79%
Advanced Queuing Theory Analysis
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