Economic production quantity model for deteriorating inventory with random machine unavailability and shortage
Both random machine unavailability and shortage are common occurrences in manufacturing industries. In this paper, machine unavailability is considered in deriving an economic production quantity (EPQ) model for deteriorating items. We develop four EPQ models for deteriorating inventory with random...
Gespeichert in:
Veröffentlicht in: | International journal of production research 2011-02, Vol.49 (3), p.883-902 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 902 |
---|---|
container_issue | 3 |
container_start_page | 883 |
container_title | International journal of production research |
container_volume | 49 |
creator | Chung, Chun-Jen Widyadana, Gede Agus Ming Wee, Hui |
description | Both random machine unavailability and shortage are common occurrences in manufacturing industries. In this paper, machine unavailability is considered in deriving an economic production quantity (EPQ) model for deteriorating items. We develop four EPQ models for deteriorating inventory with random machine unavailability and shortage. The study considers lost sales, backorder and two kinds of machine unavailability distributions. Numerical examples are provided to illustrate the theory. Key parameter changes that affect costs are shown in the sensitivity analysis. From the results of the sensitivity analysis, it is shown that the random machine unavailability parameter and holding cost have significant effects on the optimal total cost and production down-time. |
doi_str_mv | 10.1080/00207540903460232 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pasca</sourceid><recordid>TN_cdi_proquest_journals_816233060</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2206181511</sourcerecordid><originalsourceid>FETCH-LOGICAL-c435t-598e76eccae885cce4c86dfcd078081aef1a1499a725c6d2386767a1d4c0765b3</originalsourceid><addsrcrecordid>eNqFkM1rVTEQxYMo-Kz-Ae6CIK6uJjc3Hw_cSKkfUHCj4C5MJ7l9KblJm-S2vv_ePF51YRFnM4v5ncOZQ8hLzt5yZtg7xkam5cS2TEyKjWJ8RDZcKDVIY348JpvDfeiAeEqe1XrF-kgzbUg6w5zyEpBel-xWbCEnerNCaqHt6ZKdj3TOhTrffAm5QAvpkoZ061PLZU_vQtvRAsnlhS6Au5A8XRPcQohwEeLBpB9p3eXS4NI_J09miNW_uN8n5PvHs2-nn4fzr5--nH44H3ASsg1ya7xWHhG8MRLRT2iUm9ExbZjh4GcOfNpuQY8SlRuFUVpp4G5CppW8ECfkzdG3f3Wz-trsEir6GCH5vFZrpFRad4tOvvqLvMprST2cNVyNQjDFOsSPEJZca_GzvS5hgbK3nNlD__ZB_13z-t4YKkKce0kY6h9hzzyK_k7n9JELqRe9wF0u0dkG-5jLb9EDd9t-tq58_1-l-HfAXxkRrEM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>816233060</pqid></control><display><type>article</type><title>Economic production quantity model for deteriorating inventory with random machine unavailability and shortage</title><source>Business Source Complete</source><source>Taylor & Francis:Master (3349 titles)</source><creator>Chung, Chun-Jen ; Widyadana, Gede Agus ; Ming Wee, Hui</creator><creatorcontrib>Chung, Chun-Jen ; Widyadana, Gede Agus ; Ming Wee, Hui</creatorcontrib><description>Both random machine unavailability and shortage are common occurrences in manufacturing industries. In this paper, machine unavailability is considered in deriving an economic production quantity (EPQ) model for deteriorating items. We develop four EPQ models for deteriorating inventory with random machine unavailability and shortage. The study considers lost sales, backorder and two kinds of machine unavailability distributions. Numerical examples are provided to illustrate the theory. Key parameter changes that affect costs are shown in the sensitivity analysis. From the results of the sensitivity analysis, it is shown that the random machine unavailability parameter and holding cost have significant effects on the optimal total cost and production down-time.</description><identifier>ISSN: 0020-7543</identifier><identifier>EISSN: 1366-588X</identifier><identifier>DOI: 10.1080/00207540903460232</identifier><identifier>CODEN: IJPRB8</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis Group</publisher><subject>Applied sciences ; Costs ; deteriorating item ; Deterioration ; Economic models ; Economics ; EPQ ; Exact sciences and technology ; Inventories ; Inventory ; Inventory control, production control. Distribution ; machine unavailability ; Mathematical models ; Operational research and scientific management ; Operational research. Management science ; Operations research ; Optimization ; Production costs ; Sensitivity analysis ; shortage ; Shortages ; Stockpiling ; Studies</subject><ispartof>International journal of production research, 2011-02, Vol.49 (3), p.883-902</ispartof><rights>Copyright Taylor & Francis Group, LLC 2011</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Taylor & Francis Group 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c435t-598e76eccae885cce4c86dfcd078081aef1a1499a725c6d2386767a1d4c0765b3</citedby><cites>FETCH-LOGICAL-c435t-598e76eccae885cce4c86dfcd078081aef1a1499a725c6d2386767a1d4c0765b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/00207540903460232$$EPDF$$P50$$Ginformaworld$$H</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/00207540903460232$$EHTML$$P50$$Ginformaworld$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,59652,60441</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23823078$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Chung, Chun-Jen</creatorcontrib><creatorcontrib>Widyadana, Gede Agus</creatorcontrib><creatorcontrib>Ming Wee, Hui</creatorcontrib><title>Economic production quantity model for deteriorating inventory with random machine unavailability and shortage</title><title>International journal of production research</title><description>Both random machine unavailability and shortage are common occurrences in manufacturing industries. In this paper, machine unavailability is considered in deriving an economic production quantity (EPQ) model for deteriorating items. We develop four EPQ models for deteriorating inventory with random machine unavailability and shortage. The study considers lost sales, backorder and two kinds of machine unavailability distributions. Numerical examples are provided to illustrate the theory. Key parameter changes that affect costs are shown in the sensitivity analysis. From the results of the sensitivity analysis, it is shown that the random machine unavailability parameter and holding cost have significant effects on the optimal total cost and production down-time.</description><subject>Applied sciences</subject><subject>Costs</subject><subject>deteriorating item</subject><subject>Deterioration</subject><subject>Economic models</subject><subject>Economics</subject><subject>EPQ</subject><subject>Exact sciences and technology</subject><subject>Inventories</subject><subject>Inventory</subject><subject>Inventory control, production control. Distribution</subject><subject>machine unavailability</subject><subject>Mathematical models</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Operations research</subject><subject>Optimization</subject><subject>Production costs</subject><subject>Sensitivity analysis</subject><subject>shortage</subject><subject>Shortages</subject><subject>Stockpiling</subject><subject>Studies</subject><issn>0020-7543</issn><issn>1366-588X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqFkM1rVTEQxYMo-Kz-Ae6CIK6uJjc3Hw_cSKkfUHCj4C5MJ7l9KblJm-S2vv_ePF51YRFnM4v5ncOZQ8hLzt5yZtg7xkam5cS2TEyKjWJ8RDZcKDVIY348JpvDfeiAeEqe1XrF-kgzbUg6w5zyEpBel-xWbCEnerNCaqHt6ZKdj3TOhTrffAm5QAvpkoZ061PLZU_vQtvRAsnlhS6Au5A8XRPcQohwEeLBpB9p3eXS4NI_J09miNW_uN8n5PvHs2-nn4fzr5--nH44H3ASsg1ya7xWHhG8MRLRT2iUm9ExbZjh4GcOfNpuQY8SlRuFUVpp4G5CppW8ECfkzdG3f3Wz-trsEir6GCH5vFZrpFRad4tOvvqLvMprST2cNVyNQjDFOsSPEJZca_GzvS5hgbK3nNlD__ZB_13z-t4YKkKce0kY6h9hzzyK_k7n9JELqRe9wF0u0dkG-5jLb9EDd9t-tq58_1-l-HfAXxkRrEM</recordid><startdate>20110201</startdate><enddate>20110201</enddate><creator>Chung, Chun-Jen</creator><creator>Widyadana, Gede Agus</creator><creator>Ming Wee, Hui</creator><general>Taylor & Francis Group</general><general>Taylor & Francis</general><general>Taylor & Francis LLC</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20110201</creationdate><title>Economic production quantity model for deteriorating inventory with random machine unavailability and shortage</title><author>Chung, Chun-Jen ; Widyadana, Gede Agus ; Ming Wee, Hui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c435t-598e76eccae885cce4c86dfcd078081aef1a1499a725c6d2386767a1d4c0765b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Applied sciences</topic><topic>Costs</topic><topic>deteriorating item</topic><topic>Deterioration</topic><topic>Economic models</topic><topic>Economics</topic><topic>EPQ</topic><topic>Exact sciences and technology</topic><topic>Inventories</topic><topic>Inventory</topic><topic>Inventory control, production control. Distribution</topic><topic>machine unavailability</topic><topic>Mathematical models</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Operations research</topic><topic>Optimization</topic><topic>Production costs</topic><topic>Sensitivity analysis</topic><topic>shortage</topic><topic>Shortages</topic><topic>Stockpiling</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chung, Chun-Jen</creatorcontrib><creatorcontrib>Widyadana, Gede Agus</creatorcontrib><creatorcontrib>Ming Wee, Hui</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>International journal of production research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chung, Chun-Jen</au><au>Widyadana, Gede Agus</au><au>Ming Wee, Hui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Economic production quantity model for deteriorating inventory with random machine unavailability and shortage</atitle><jtitle>International journal of production research</jtitle><date>2011-02-01</date><risdate>2011</risdate><volume>49</volume><issue>3</issue><spage>883</spage><epage>902</epage><pages>883-902</pages><issn>0020-7543</issn><eissn>1366-588X</eissn><coden>IJPRB8</coden><abstract>Both random machine unavailability and shortage are common occurrences in manufacturing industries. In this paper, machine unavailability is considered in deriving an economic production quantity (EPQ) model for deteriorating items. We develop four EPQ models for deteriorating inventory with random machine unavailability and shortage. The study considers lost sales, backorder and two kinds of machine unavailability distributions. Numerical examples are provided to illustrate the theory. Key parameter changes that affect costs are shown in the sensitivity analysis. From the results of the sensitivity analysis, it is shown that the random machine unavailability parameter and holding cost have significant effects on the optimal total cost and production down-time.</abstract><cop>Abingdon</cop><pub>Taylor & Francis Group</pub><doi>10.1080/00207540903460232</doi><tpages>20</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0020-7543 |
ispartof | International journal of production research, 2011-02, Vol.49 (3), p.883-902 |
issn | 0020-7543 1366-588X |
language | eng |
recordid | cdi_proquest_journals_816233060 |
source | Business Source Complete; Taylor & Francis:Master (3349 titles) |
subjects | Applied sciences Costs deteriorating item Deterioration Economic models Economics EPQ Exact sciences and technology Inventories Inventory Inventory control, production control. Distribution machine unavailability Mathematical models Operational research and scientific management Operational research. Management science Operations research Optimization Production costs Sensitivity analysis shortage Shortages Stockpiling Studies |
title | Economic production quantity model for deteriorating inventory with random machine unavailability and shortage |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-15T12%3A50%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pasca&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Economic%20production%20quantity%20model%20for%20deteriorating%20inventory%20with%20random%20machine%20unavailability%20and%20shortage&rft.jtitle=International%20journal%20of%20production%20research&rft.au=Chung,%20Chun-Jen&rft.date=2011-02-01&rft.volume=49&rft.issue=3&rft.spage=883&rft.epage=902&rft.pages=883-902&rft.issn=0020-7543&rft.eissn=1366-588X&rft.coden=IJPRB8&rft_id=info:doi/10.1080/00207540903460232&rft_dat=%3Cproquest_pasca%3E2206181511%3C/proquest_pasca%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=816233060&rft_id=info:pmid/&rfr_iscdi=true |