Petri net analysis of a queueing inventory system with orbital search by the server

In this article, a queueing inventory system with finite sources of demands, retrial demands, service time, lead time, (s,S)\left(s,S) replenishment policy, and demands search from the orbit was studied. When the lead time is exponentially distributed (resp. lead time is generally distributed), gene...

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Main Authors: Ikhlef Lyes, Hakmi Sedda, Lekadir Ouiza, Aïssani Djamil
Format: Article
Language:English
Published: De Gruyter 2023-05-01
Series:Demonstratio Mathematica
Subjects:
Online Access:https://doi.org/10.1515/dema-2022-0207
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author Ikhlef Lyes
Hakmi Sedda
Lekadir Ouiza
Aïssani Djamil
author_facet Ikhlef Lyes
Hakmi Sedda
Lekadir Ouiza
Aïssani Djamil
author_sort Ikhlef Lyes
collection DOAJ
description In this article, a queueing inventory system with finite sources of demands, retrial demands, service time, lead time, (s,S)\left(s,S) replenishment policy, and demands search from the orbit was studied. When the lead time is exponentially distributed (resp. lead time is generally distributed), generalized stochastic Petri net (GSPN) (resp. Markov regenerative stochastic Petri net [MRSPN]) is proposed for this inventory system. The quantitative analysis of this stochastic Petri net model was obtained by continuous time Markov chain for the GSPN model (resp. the supplementary variable method for the MRSPN model). The probability distributions are obtained, witch allowed us to compute performance measures and the expected cost rate of the studied system.
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spelling doaj.art-bbe54884c82a4f7f8dcc37c3e0f42eb62023-06-05T09:17:13ZengDe GruyterDemonstratio Mathematica2391-46612023-05-015612056206610.1515/dema-2022-0207Petri net analysis of a queueing inventory system with orbital search by the serverIkhlef Lyes0Hakmi Sedda1Lekadir Ouiza2Aïssani Djamil3Department of Mathematics, Faculty of Sciences, Research Unit LaMOS, University of Algiers, Algier, AlgeriaEconomic Sciences Faculty, Research Unit LaMOS, Bejaia University, Bejaia, AlgeriaOperation Research Department, Research Unit LaMOS, Exact Sciences Faculty, Bejaia University, Bejaia, AlgeriaOperation Research Department, Research Unit LaMOS, Exact Sciences Faculty, Bejaia University, Bejaia, AlgeriaIn this article, a queueing inventory system with finite sources of demands, retrial demands, service time, lead time, (s,S)\left(s,S) replenishment policy, and demands search from the orbit was studied. When the lead time is exponentially distributed (resp. lead time is generally distributed), generalized stochastic Petri net (GSPN) (resp. Markov regenerative stochastic Petri net [MRSPN]) is proposed for this inventory system. The quantitative analysis of this stochastic Petri net model was obtained by continuous time Markov chain for the GSPN model (resp. the supplementary variable method for the MRSPN model). The probability distributions are obtained, witch allowed us to compute performance measures and the expected cost rate of the studied system.https://doi.org/10.1515/dema-2022-0207inventory modelsstochastic petri netsmarkov chainorbital search(s, s) policy60j27
spellingShingle Ikhlef Lyes
Hakmi Sedda
Lekadir Ouiza
Aïssani Djamil
Petri net analysis of a queueing inventory system with orbital search by the server
Demonstratio Mathematica
inventory models
stochastic petri nets
markov chain
orbital search
(s, s) policy
60j27
title Petri net analysis of a queueing inventory system with orbital search by the server
title_full Petri net analysis of a queueing inventory system with orbital search by the server
title_fullStr Petri net analysis of a queueing inventory system with orbital search by the server
title_full_unstemmed Petri net analysis of a queueing inventory system with orbital search by the server
title_short Petri net analysis of a queueing inventory system with orbital search by the server
title_sort petri net analysis of a queueing inventory system with orbital search by the server
topic inventory models
stochastic petri nets
markov chain
orbital search
(s, s) policy
60j27
url https://doi.org/10.1515/dema-2022-0207
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