Fuzzy economic production quantity model with time dependent demand rate
Background: In this paper, an economic production quantity model is considered under a fuzzy environment. Both the demand cost and holding cost are considered using fuzzy pentagonal numbers. The Signed Distance Method is used to defuzzify the total cost function. Methods: The results obtained by the...
Gespeichert in:
Veröffentlicht in: | LogForum (Poznań, Poland) Poland), 2016-01, Vol.12 (3) |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 3 |
container_start_page | |
container_title | LogForum (Poznań, Poland) |
container_volume | 12 |
creator | Indrajitsingha, Susanta Kumar Routray, Sudhansu Sekhar Paikray, Susanta Kumar Misra, Umakanta |
description | Background: In this paper, an economic production quantity model is considered under a fuzzy environment. Both the demand cost and holding cost are considered using fuzzy pentagonal numbers. The Signed Distance Method is used to defuzzify the total cost function. Methods: The results obtained by these methods are compared with the help of a numerical example. Sensitivity analysis is also carried out to explore the effect of changes in the values of some of the system parameters. Results and conclusions: The fuzzy EPQ model with time dependent demand rate was presented together with the possible implementation. The behavior of changes in parameters was analyzed. The possible extension of the implementation of this method was presented. |
doi_str_mv | 10.17270/J.LOG.2016.3.1 |
format | Article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_1940151156</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1940151156</sourcerecordid><originalsourceid>FETCH-LOGICAL-p113t-3740a6cd6da351d157d1990ee5bfc80fffbf21b7c0608365513fe8e78a9bb14a3</originalsourceid><addsrcrecordid>eNotjk1Lw0AURQdRsNSu3Q64Tnwvk_nIUoq1SsGNgrsyybzBlGYmTSZI--sN6N3cs7r3MHaPkKMuNDy-5bv3l7wAVLnI8YotUIsyK2X1dT2zqWRWgDC3bDWOB5ijJBYAC7bdTJfLmVMTQ-zahvdDdFOT2hj4abIhtenMu-joyH_a9M1T2xF31FNwFNJMnQ2ODzbRHbvx9jjS6r-X7HPz_LHeZrPX6_ppl_WIImVCl2BV45SzQqJDqR1WFRDJ2jcGvPe1L7DWDSgwQkmJwpMhbWxV11hasWQPf7uz6WmiMe0PcRrCfLnHqgSUiFKJXw2yT8o</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1940151156</pqid></control><display><type>article</type><title>Fuzzy economic production quantity model with time dependent demand rate</title><source>EBSCOhost Business Source Complete</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Indrajitsingha, Susanta Kumar ; Routray, Sudhansu Sekhar ; Paikray, Susanta Kumar ; Misra, Umakanta</creator><creatorcontrib>Indrajitsingha, Susanta Kumar ; Routray, Sudhansu Sekhar ; Paikray, Susanta Kumar ; Misra, Umakanta</creatorcontrib><description>Background: In this paper, an economic production quantity model is considered under a fuzzy environment. Both the demand cost and holding cost are considered using fuzzy pentagonal numbers. The Signed Distance Method is used to defuzzify the total cost function. Methods: The results obtained by these methods are compared with the help of a numerical example. Sensitivity analysis is also carried out to explore the effect of changes in the values of some of the system parameters. Results and conclusions: The fuzzy EPQ model with time dependent demand rate was presented together with the possible implementation. The behavior of changes in parameters was analyzed. The possible extension of the implementation of this method was presented.</description><identifier>ISSN: 1895-2038</identifier><identifier>EISSN: 1734-459X</identifier><identifier>DOI: 10.17270/J.LOG.2016.3.1</identifier><language>eng</language><publisher>Poznan: Wyzsza Szkola Logistyki</publisher><subject>Economic models ; Production planning ; Sensitivity analysis</subject><ispartof>LogForum (Poznań, Poland), 2016-01, Vol.12 (3)</ispartof><rights>Copyright Wyzsza Szkola Logistyki 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Indrajitsingha, Susanta Kumar</creatorcontrib><creatorcontrib>Routray, Sudhansu Sekhar</creatorcontrib><creatorcontrib>Paikray, Susanta Kumar</creatorcontrib><creatorcontrib>Misra, Umakanta</creatorcontrib><title>Fuzzy economic production quantity model with time dependent demand rate</title><title>LogForum (Poznań, Poland)</title><description>Background: In this paper, an economic production quantity model is considered under a fuzzy environment. Both the demand cost and holding cost are considered using fuzzy pentagonal numbers. The Signed Distance Method is used to defuzzify the total cost function. Methods: The results obtained by these methods are compared with the help of a numerical example. Sensitivity analysis is also carried out to explore the effect of changes in the values of some of the system parameters. Results and conclusions: The fuzzy EPQ model with time dependent demand rate was presented together with the possible implementation. The behavior of changes in parameters was analyzed. The possible extension of the implementation of this method was presented.</description><subject>Economic models</subject><subject>Production planning</subject><subject>Sensitivity analysis</subject><issn>1895-2038</issn><issn>1734-459X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNotjk1Lw0AURQdRsNSu3Q64Tnwvk_nIUoq1SsGNgrsyybzBlGYmTSZI--sN6N3cs7r3MHaPkKMuNDy-5bv3l7wAVLnI8YotUIsyK2X1dT2zqWRWgDC3bDWOB5ijJBYAC7bdTJfLmVMTQ-zahvdDdFOT2hj4abIhtenMu-joyH_a9M1T2xF31FNwFNJMnQ2ODzbRHbvx9jjS6r-X7HPz_LHeZrPX6_ppl_WIImVCl2BV45SzQqJDqR1WFRDJ2jcGvPe1L7DWDSgwQkmJwpMhbWxV11hasWQPf7uz6WmiMe0PcRrCfLnHqgSUiFKJXw2yT8o</recordid><startdate>20160101</startdate><enddate>20160101</enddate><creator>Indrajitsingha, Susanta Kumar</creator><creator>Routray, Sudhansu Sekhar</creator><creator>Paikray, Susanta Kumar</creator><creator>Misra, Umakanta</creator><general>Wyzsza Szkola Logistyki</general><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20160101</creationdate><title>Fuzzy economic production quantity model with time dependent demand rate</title><author>Indrajitsingha, Susanta Kumar ; Routray, Sudhansu Sekhar ; Paikray, Susanta Kumar ; Misra, Umakanta</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p113t-3740a6cd6da351d157d1990ee5bfc80fffbf21b7c0608365513fe8e78a9bb14a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Economic models</topic><topic>Production planning</topic><topic>Sensitivity analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Indrajitsingha, Susanta Kumar</creatorcontrib><creatorcontrib>Routray, Sudhansu Sekhar</creatorcontrib><creatorcontrib>Paikray, Susanta Kumar</creatorcontrib><creatorcontrib>Misra, Umakanta</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Publicly Available Content Database</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>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>LogForum (Poznań, Poland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Indrajitsingha, Susanta Kumar</au><au>Routray, Sudhansu Sekhar</au><au>Paikray, Susanta Kumar</au><au>Misra, Umakanta</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fuzzy economic production quantity model with time dependent demand rate</atitle><jtitle>LogForum (Poznań, Poland)</jtitle><date>2016-01-01</date><risdate>2016</risdate><volume>12</volume><issue>3</issue><issn>1895-2038</issn><eissn>1734-459X</eissn><abstract>Background: In this paper, an economic production quantity model is considered under a fuzzy environment. Both the demand cost and holding cost are considered using fuzzy pentagonal numbers. The Signed Distance Method is used to defuzzify the total cost function. Methods: The results obtained by these methods are compared with the help of a numerical example. Sensitivity analysis is also carried out to explore the effect of changes in the values of some of the system parameters. Results and conclusions: The fuzzy EPQ model with time dependent demand rate was presented together with the possible implementation. The behavior of changes in parameters was analyzed. The possible extension of the implementation of this method was presented.</abstract><cop>Poznan</cop><pub>Wyzsza Szkola Logistyki</pub><doi>10.17270/J.LOG.2016.3.1</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1895-2038 |
ispartof | LogForum (Poznań, Poland), 2016-01, Vol.12 (3) |
issn | 1895-2038 1734-459X |
language | eng |
recordid | cdi_proquest_journals_1940151156 |
source | EBSCOhost Business Source Complete; EZB-FREE-00999 freely available EZB journals |
subjects | Economic models Production planning Sensitivity analysis |
title | Fuzzy economic production quantity model with time dependent demand rate |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T08%3A09%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Fuzzy%20economic%20production%20quantity%20model%20with%20time%20dependent%20demand%20rate&rft.jtitle=LogForum%20(Poznan%CC%81,%20Poland)&rft.au=Indrajitsingha,%20Susanta%20Kumar&rft.date=2016-01-01&rft.volume=12&rft.issue=3&rft.issn=1895-2038&rft.eissn=1734-459X&rft_id=info:doi/10.17270/J.LOG.2016.3.1&rft_dat=%3Cproquest%3E1940151156%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1940151156&rft_id=info:pmid/&rfr_iscdi=true |