Inventory Model with Demand Dependent on Unit Price under Fuzzy Parameters and Decision Variables

Inventory Model with Demand Dependent on Unit Price under Fuzzy Parameters and Decision Variables

An EOQ model with demand dependent on unit price is considered and a new approach of finding optimal demand value is done from the optimal unit cost price after defuzzification. Here the cost parameters like setup cost, holding cost and shortage cost and also the decision variables like unit price,...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of recent technology and engineering 2019-09, Vol.8 (3), p.784-788
Hauptverfasser: Ranganayaki, Dr.S., Kasthuri, Dr.R., Vasanthi, Dr.P.
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 788
container_issue 3
container_start_page 784
container_title International journal of recent technology and engineering
container_volume 8
creator Ranganayaki, Dr.S.
Kasthuri, Dr.R.
Vasanthi, Dr.P.
description An EOQ model with demand dependent on unit price is considered and a new approach of finding optimal demand value is done from the optimal unit cost price after defuzzification. Here the cost parameters like setup cost, holding cost and shortage cost and also the decision variables like unit price, lot size and the maximum inventory are taken under fuzzy environment. Triangular fuzzy numbers are used to fuzzify these input parameters and unknown variables. For the proposed model an optimal solution has been determined using Karush Kuhn-Tucker conditions method. Graded Mean Integration (GMI) method is used for defuzzification. Numerical solutions are obtained and sensitivity analysis is done for the chosen model.
doi_str_mv 10.35940/ijrte.C4013.098319
format Article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_35940_ijrte_C4013_098319</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_35940_ijrte_C4013_098319</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1599-663cd7d64a3198d98618a82536892ba691647dca9ceec5489c48f73f8e85619f3</originalsourceid><addsrcrecordid>eNpNkMFOwzAQRC0EElXpF3DxDyTYsePYRxQoVCqiB8o1cu2NcJU4lZ2C0q8nSjhwmtXuzGr0ELqnJGW54uTBHUMPackJZSlRklF1hRZZVhQJk4W8_jffolWMR0JGp6CciQXSG_8Nvu_CgN86Cw3-cf0XfoJWezvKCbwdz7jzeO9dj3fBGcDncRnw-ny5DHing26hhxDxHDEuutH-qYPThwbiHbqpdRNh9adLtF8_f5Svyfb9ZVM-bhNDc6USIZixhRVcj_2lVVJQqWWWMyFVdtBCUcELa7QyACbnUhku64LVEmQuqKrZErH5rwldjAHq6hRcq8NQUVJNoKoJVDWBqmZQ7BcNr11k</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Inventory Model with Demand Dependent on Unit Price under Fuzzy Parameters and Decision Variables</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Ranganayaki, Dr.S. ; Kasthuri, Dr.R. ; Vasanthi, Dr.P.</creator><creatorcontrib>Ranganayaki, Dr.S. ; Kasthuri, Dr.R. ; Vasanthi, Dr.P. ; Department of Mathematics, Sri Ramakrishna Engineering College, Coimbatore, India</creatorcontrib><description>An EOQ model with demand dependent on unit price is considered and a new approach of finding optimal demand value is done from the optimal unit cost price after defuzzification. Here the cost parameters like setup cost, holding cost and shortage cost and also the decision variables like unit price, lot size and the maximum inventory are taken under fuzzy environment. Triangular fuzzy numbers are used to fuzzify these input parameters and unknown variables. For the proposed model an optimal solution has been determined using Karush Kuhn-Tucker conditions method. Graded Mean Integration (GMI) method is used for defuzzification. Numerical solutions are obtained and sensitivity analysis is done for the chosen model.</description><identifier>ISSN: 2277-3878</identifier><identifier>EISSN: 2277-3878</identifier><identifier>DOI: 10.35940/ijrte.C4013.098319</identifier><language>eng</language><ispartof>International journal of recent technology and engineering, 2019-09, Vol.8 (3), p.784-788</ispartof><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>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Ranganayaki, Dr.S.</creatorcontrib><creatorcontrib>Kasthuri, Dr.R.</creatorcontrib><creatorcontrib>Vasanthi, Dr.P.</creatorcontrib><creatorcontrib>Department of Mathematics, Sri Ramakrishna Engineering College, Coimbatore, India</creatorcontrib><title>Inventory Model with Demand Dependent on Unit Price under Fuzzy Parameters and Decision Variables</title><title>International journal of recent technology and engineering</title><description>An EOQ model with demand dependent on unit price is considered and a new approach of finding optimal demand value is done from the optimal unit cost price after defuzzification. Here the cost parameters like setup cost, holding cost and shortage cost and also the decision variables like unit price, lot size and the maximum inventory are taken under fuzzy environment. Triangular fuzzy numbers are used to fuzzify these input parameters and unknown variables. For the proposed model an optimal solution has been determined using Karush Kuhn-Tucker conditions method. Graded Mean Integration (GMI) method is used for defuzzification. Numerical solutions are obtained and sensitivity analysis is done for the chosen model.</description><issn>2277-3878</issn><issn>2277-3878</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNpNkMFOwzAQRC0EElXpF3DxDyTYsePYRxQoVCqiB8o1cu2NcJU4lZ2C0q8nSjhwmtXuzGr0ELqnJGW54uTBHUMPackJZSlRklF1hRZZVhQJk4W8_jffolWMR0JGp6CciQXSG_8Nvu_CgN86Cw3-cf0XfoJWezvKCbwdz7jzeO9dj3fBGcDncRnw-ny5DHing26hhxDxHDEuutH-qYPThwbiHbqpdRNh9adLtF8_f5Svyfb9ZVM-bhNDc6USIZixhRVcj_2lVVJQqWWWMyFVdtBCUcELa7QyACbnUhku64LVEmQuqKrZErH5rwldjAHq6hRcq8NQUVJNoKoJVDWBqmZQ7BcNr11k</recordid><startdate>20190930</startdate><enddate>20190930</enddate><creator>Ranganayaki, Dr.S.</creator><creator>Kasthuri, Dr.R.</creator><creator>Vasanthi, Dr.P.</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20190930</creationdate><title>Inventory Model with Demand Dependent on Unit Price under Fuzzy Parameters and Decision Variables</title><author>Ranganayaki, Dr.S. ; Kasthuri, Dr.R. ; Vasanthi, Dr.P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1599-663cd7d64a3198d98618a82536892ba691647dca9ceec5489c48f73f8e85619f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Ranganayaki, Dr.S.</creatorcontrib><creatorcontrib>Kasthuri, Dr.R.</creatorcontrib><creatorcontrib>Vasanthi, Dr.P.</creatorcontrib><creatorcontrib>Department of Mathematics, Sri Ramakrishna Engineering College, Coimbatore, India</creatorcontrib><collection>CrossRef</collection><jtitle>International journal of recent technology and engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ranganayaki, Dr.S.</au><au>Kasthuri, Dr.R.</au><au>Vasanthi, Dr.P.</au><aucorp>Department of Mathematics, Sri Ramakrishna Engineering College, Coimbatore, India</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Inventory Model with Demand Dependent on Unit Price under Fuzzy Parameters and Decision Variables</atitle><jtitle>International journal of recent technology and engineering</jtitle><date>2019-09-30</date><risdate>2019</risdate><volume>8</volume><issue>3</issue><spage>784</spage><epage>788</epage><pages>784-788</pages><issn>2277-3878</issn><eissn>2277-3878</eissn><abstract>An EOQ model with demand dependent on unit price is considered and a new approach of finding optimal demand value is done from the optimal unit cost price after defuzzification. Here the cost parameters like setup cost, holding cost and shortage cost and also the decision variables like unit price, lot size and the maximum inventory are taken under fuzzy environment. Triangular fuzzy numbers are used to fuzzify these input parameters and unknown variables. For the proposed model an optimal solution has been determined using Karush Kuhn-Tucker conditions method. Graded Mean Integration (GMI) method is used for defuzzification. Numerical solutions are obtained and sensitivity analysis is done for the chosen model.</abstract><doi>10.35940/ijrte.C4013.098319</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2277-3878
ispartof International journal of recent technology and engineering, 2019-09, Vol.8 (3), p.784-788
issn 2277-3878
2277-3878
language eng
recordid cdi_crossref_primary_10_35940_ijrte_C4013_098319
source EZB-FREE-00999 freely available EZB journals
title Inventory Model with Demand Dependent on Unit Price under Fuzzy Parameters and Decision Variables
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T01%3A31%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Inventory%20Model%20with%20Demand%20Dependent%20on%20Unit%20Price%20under%20Fuzzy%20Parameters%20and%20Decision%20Variables&rft.jtitle=International%20journal%20of%20recent%20technology%20and%20engineering&rft.au=Ranganayaki,%20Dr.S.&rft.aucorp=Department%20of%20Mathematics,%20Sri%20Ramakrishna%20Engineering%20College,%20Coimbatore,%20India&rft.date=2019-09-30&rft.volume=8&rft.issue=3&rft.spage=784&rft.epage=788&rft.pages=784-788&rft.issn=2277-3878&rft.eissn=2277-3878&rft_id=info:doi/10.35940/ijrte.C4013.098319&rft_dat=%3Ccrossref%3E10_35940_ijrte_C4013_098319%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true