Optimising inventory in business environments: combining matrix analytic methods with a working vacation, cancellation policy and working breakdown

The inventory system of the single-server Markovian arrival process with working vacations, working breakdowns under a Bernoulli schedule, and cancellation policy are discussed. The server begins to go on a working vacation when there is no customer in the system even if the inventory level is positive. If any customers arrive while he is end of his working vacation time, a normal busy period begins. If not, he will simply remain idle in regular mode. When a system breaks down, it either offers slow service to the current customers with probability p or immediately undergoes a repair phase with probability q. We derive the invariant vector, busy period, waiting time distribution, total cost, and computation of performance measures using the matrix analytic technique.

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Publication Details

Journal
International Journal of Mathematics in Operational Research
Published
2025-01-01
DOI
https://doi.org/10.1504/ijmor.2025.148075
Primary Topic
Supply Chain and Inventory Management
Type
article
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article

Optimising inventory in business environments: combining matrix analytic methods with a working vacation, cancellation policy and working breakdown

N. Arulmozhi, G. Ayyappan
International Journal of Mathematics in Operational Research
Supply Chain and Inventory Management
article

Optimising inventory in business environments: combining matrix analytic methods with a working vacation, cancellation policy and working breakdown

N. Arulmozhi, G. Ayyappan
article en

Abstract

The inventory system of the single-server Markovian arrival process with working vacations, working breakdowns under a Bernoulli schedule, and cancellation policy are discussed. The server begins to go on a working vacation when there is no customer in the system even if the inventory level is positive. If any customers arrive while he is end of his working vacation time, a normal busy period begins. If not, he will simply remain idle in regular mode. When a system breaks down, it either offers slow service to the current customers with probability p or immediately undergoes a repair phase with probability q. We derive the invariant vector, busy period, waiting time distribution, total cost, and computation of performance measures using the matrix analytic technique.

International Journal of Mathematics in Operational ResearchVol. 31(4)
Openalex Percentile: Top 63%
Supply Chain and Inventory Management
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Optimising inventory in business environments: combining matrix analytic methods with a working vacation, cancellation policy and working breakdown — N. Arulmozhi, G. Ayyappan · International Journal of Mathematics in Operational Research (2025) | TGRS Research Map | TGRS