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A make-to-stock mountain-type inventory model
We consider the buffer content of a fluid queue or storage process. The buffer content varies in a way that depends on the state of an underlying three-state Markov process. In state 0 the buffer content increases at a rate α ( x ) that is a function of the current buffer level x ; in states 1 and...
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Published in: | Annals of operations research 2015-08, Vol.231 (1), p.65-77 |
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creator | Boxma, Onno J. Parlar, Mahmut Perry, David |
description | We consider the buffer content of a fluid queue or storage process. The buffer content varies in a way that depends on the state of an underlying three-state Markov process. In state 0 the buffer content increases at a rate
α
(
x
) that is a function of the current buffer level
x
; in states 1 and 2 it decreases linearly, with different speeds. We study the steady-state buffer content, by using level crossing theory and by exploiting relations between the fluid queue and queues with instantaneous input and/or output. |
doi_str_mv | 10.1007/s10479-013-1370-z |
format | article |
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α
(
x
) that is a function of the current buffer level
x
; in states 1 and 2 it decreases linearly, with different speeds. We study the steady-state buffer content, by using level crossing theory and by exploiting relations between the fluid queue and queues with instantaneous input and/or output.</description><identifier>ISSN: 0254-5330</identifier><identifier>EISSN: 1572-9338</identifier><identifier>DOI: 10.1007/s10479-013-1370-z</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Analysis ; Buffers ; Business and Management ; Combinatorics ; Computational fluid dynamics ; Fluid flow ; Fluids ; Inventory control ; Markov analysis ; Markov processes ; Operations research ; Operations Research/Decision Theory ; Queueing theory ; Queues ; Queuing ; Studies ; Theory of Computation ; Workloads</subject><ispartof>Annals of operations research, 2015-08, Vol.231 (1), p.65-77</ispartof><rights>Springer Science+Business Media New York 2013</rights><rights>COPYRIGHT 2015 Springer</rights><rights>Springer Science+Business Media New York 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c566t-ad01e773ca4dcd9ba382b56459815bca74683ccc3f63a0c755ab74ddf11e272d3</citedby><cites>FETCH-LOGICAL-c566t-ad01e773ca4dcd9ba382b56459815bca74683ccc3f63a0c755ab74ddf11e272d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1700062847/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1700062847?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11687,27923,27924,36059,36060,44362,74766</link.rule.ids></links><search><creatorcontrib>Boxma, Onno J.</creatorcontrib><creatorcontrib>Parlar, Mahmut</creatorcontrib><creatorcontrib>Perry, David</creatorcontrib><title>A make-to-stock mountain-type inventory model</title><title>Annals of operations research</title><addtitle>Ann Oper Res</addtitle><description>We consider the buffer content of a fluid queue or storage process. The buffer content varies in a way that depends on the state of an underlying three-state Markov process. In state 0 the buffer content increases at a rate
α
(
x
) that is a function of the current buffer level
x
; in states 1 and 2 it decreases linearly, with different speeds. We study the steady-state buffer content, by using level crossing theory and by exploiting relations between the fluid queue and queues with instantaneous input and/or output.</description><subject>Analysis</subject><subject>Buffers</subject><subject>Business and Management</subject><subject>Combinatorics</subject><subject>Computational fluid dynamics</subject><subject>Fluid flow</subject><subject>Fluids</subject><subject>Inventory control</subject><subject>Markov analysis</subject><subject>Markov processes</subject><subject>Operations research</subject><subject>Operations Research/Decision Theory</subject><subject>Queueing theory</subject><subject>Queues</subject><subject>Queuing</subject><subject>Studies</subject><subject>Theory of Computation</subject><subject>Workloads</subject><issn>0254-5330</issn><issn>1572-9338</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNp1kcGKFDEQhoMoOK4-gLcBLx7MWulKOt3HYXFVWPCi55BOp8fsdidjKi3MPr0ZRnBXlIIUFN9XpPgZey3gUgDo9yRA6p6DQC5QA79_wjZC6Yb3iN1TtoFGSa4Q4Tl7QXQLAEJ0asP4brvYO89L4lSSu9suaY3FhsjL8eC3If70saR8rPPRzy_Zs8nO5F_97hfs2_WHr1ef-M2Xj5-vdjfcqbYt3I4gvNborBzd2A8Wu2ZQrVR9J9TgrJZth845nFq04LRSdtByHCchfKObES_Y2_PeQ04_Vk_FLIGcn2cbfVrJCI0AnZKAFX3zF3qb1hzr7ypVz2ybTuo_1N7O3oQ4pZKtOy01O9lg22OPbaUu_0HVGv0SXIp-CnX-SHj3QBhWCtFTfSjsvxfa25XoMS7OuMuJKPvJHHJYbD4aAeYUoznHaGqM5hSjua9Oc3aosnHv84P7_iv9ApNGnPQ</recordid><startdate>20150801</startdate><enddate>20150801</enddate><creator>Boxma, Onno J.</creator><creator>Parlar, Mahmut</creator><creator>Perry, David</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>3V.</scope><scope>7TA</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>KR7</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M0N</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20150801</creationdate><title>A make-to-stock mountain-type inventory model</title><author>Boxma, Onno J. ; Parlar, Mahmut ; Perry, David</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c566t-ad01e773ca4dcd9ba382b56459815bca74683ccc3f63a0c755ab74ddf11e272d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Analysis</topic><topic>Buffers</topic><topic>Business and Management</topic><topic>Combinatorics</topic><topic>Computational fluid dynamics</topic><topic>Fluid flow</topic><topic>Fluids</topic><topic>Inventory control</topic><topic>Markov analysis</topic><topic>Markov processes</topic><topic>Operations research</topic><topic>Operations Research/Decision Theory</topic><topic>Queueing theory</topic><topic>Queues</topic><topic>Queuing</topic><topic>Studies</topic><topic>Theory of Computation</topic><topic>Workloads</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boxma, Onno J.</creatorcontrib><creatorcontrib>Parlar, Mahmut</creatorcontrib><creatorcontrib>Perry, David</creatorcontrib><collection>CrossRef</collection><collection>Gale_Business Insights: Global</collection><collection>ProQuest Central (Corporate)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Science Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Annals of operations research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Boxma, Onno J.</au><au>Parlar, Mahmut</au><au>Perry, David</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A make-to-stock mountain-type inventory model</atitle><jtitle>Annals of operations research</jtitle><stitle>Ann Oper Res</stitle><date>2015-08-01</date><risdate>2015</risdate><volume>231</volume><issue>1</issue><spage>65</spage><epage>77</epage><pages>65-77</pages><issn>0254-5330</issn><eissn>1572-9338</eissn><abstract>We consider the buffer content of a fluid queue or storage process. The buffer content varies in a way that depends on the state of an underlying three-state Markov process. In state 0 the buffer content increases at a rate
α
(
x
) that is a function of the current buffer level
x
; in states 1 and 2 it decreases linearly, with different speeds. We study the steady-state buffer content, by using level crossing theory and by exploiting relations between the fluid queue and queues with instantaneous input and/or output.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10479-013-1370-z</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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source | Business Source Ultimate【Trial: -2024/12/31】【Remote access available】; ABI/INFORM Global; Springer Link |
subjects | Analysis Buffers Business and Management Combinatorics Computational fluid dynamics Fluid flow Fluids Inventory control Markov analysis Markov processes Operations research Operations Research/Decision Theory Queueing theory Queues Queuing Studies Theory of Computation Workloads |
title | A make-to-stock mountain-type inventory model |
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