A sensitivity analysis of stochastic programming for reverse logistic of herbs agro-industry: a case study of herbs logistic in Indonesia

This paper analyses the sensitivity of reverse logistic formulation of herbs agro- industry based on fuzzy stochastic mixed integer linear programming. A case study from real world problem of herbs logistic in Indonesia is provided in order to respond stochastic challenges in the reverse logistic sy...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IOP conference series. Earth and environmental science 2020-04, Vol.472 (1), p.12055
Hauptverfasser: Rakhmasari, A A, Djatna, T, Suparno, O, Rusli, M S
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page 12055
container_title IOP conference series. Earth and environmental science
container_volume 472
creator Rakhmasari, A A
Djatna, T
Suparno, O
Rusli, M S
description This paper analyses the sensitivity of reverse logistic formulation of herbs agro- industry based on fuzzy stochastic mixed integer linear programming. A case study from real world problem of herbs logistic in Indonesia is provided in order to respond stochastic challenges in the reverse logistic system. For implementation purpose of this current progress, some related historical and hypothetical data were deployed. The model was then used to test how far this fuzzy quantitative modelling is capable to solve the problem within available data ranges with consideration on possibility in each data occurrence. A GRG non-linear was used as model solution to solve the fuzzy stochastic modelling with implementation using Excel solver. The fuzzy quantitative modelling result with a case study in herbs logistic in Indonesia is concluded with verification and validation on current model formulation for decision making purposes in herbs reverse logistic.
doi_str_mv 10.1088/1755-1315/472/1/012055
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2555447405</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2555447405</sourcerecordid><originalsourceid>FETCH-LOGICAL-c364t-c006602c43a71fd0b1742ddc4cdc714339bfc23e44d35b07d6a3446599adce603</originalsourceid><addsrcrecordid>eNqFkN9KwzAUh4MoOKevIAGva5MmaVbvxvDPYOCNXoc0SbuMrZk57aCP4FvbWdkuvToHzvc7nPMhdE_JIyWzWUqlEAllVKRcZilNCc2IEBdochpcnnoir9ENwIaQXHJWTND3HINrwLf-4Nse60Zve_CAQ4WhDWatofUG72Ooo97tfFPjKkQc3cFFcHgbav8LDPjaxRKwrmNIfGM7aGP_hDU2euCg7Wx_hk4x3-BlY0PjwOtbdFXpLbi7vzpFny_PH4u3ZPX-ulzMV4lhOW8TM5yek8xwpiWtLCmp5Jm1hhtrJOWMFWVlMuY4t0yURNpcM85zURTaGpcTNkUP497hqa_OQas2oYvD36AyIQTnkhMxUPlImRgAoqvUPvqdjr2iRB21q6NRdbSrBu2KqlH7EMzGoA_78-Z_Qj-5IIaN</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2555447405</pqid></control><display><type>article</type><title>A sensitivity analysis of stochastic programming for reverse logistic of herbs agro-industry: a case study of herbs logistic in Indonesia</title><source>IOP Publishing Free Content</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>IOPscience extra</source><creator>Rakhmasari, A A ; Djatna, T ; Suparno, O ; Rusli, M S</creator><creatorcontrib>Rakhmasari, A A ; Djatna, T ; Suparno, O ; Rusli, M S</creatorcontrib><description>This paper analyses the sensitivity of reverse logistic formulation of herbs agro- industry based on fuzzy stochastic mixed integer linear programming. A case study from real world problem of herbs logistic in Indonesia is provided in order to respond stochastic challenges in the reverse logistic system. For implementation purpose of this current progress, some related historical and hypothetical data were deployed. The model was then used to test how far this fuzzy quantitative modelling is capable to solve the problem within available data ranges with consideration on possibility in each data occurrence. A GRG non-linear was used as model solution to solve the fuzzy stochastic modelling with implementation using Excel solver. The fuzzy quantitative modelling result with a case study in herbs logistic in Indonesia is concluded with verification and validation on current model formulation for decision making purposes in herbs reverse logistic.</description><identifier>ISSN: 1755-1307</identifier><identifier>EISSN: 1755-1315</identifier><identifier>DOI: 10.1088/1755-1315/472/1/012055</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Agricultural industry ; Case studies ; Decision making ; Herbs ; Herbs agroindustry ; herbs logistic ; Integer programming ; Linear programming ; Mixed integer ; Modelling ; reverse logistic ; Sensitivity analysis ; Stochastic models ; Stochastic programming</subject><ispartof>IOP conference series. Earth and environmental science, 2020-04, Vol.472 (1), p.12055</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c364t-c006602c43a71fd0b1742ddc4cdc714339bfc23e44d35b07d6a3446599adce603</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1755-1315/472/1/012055/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,777,781,27905,27906,38849,38871,53821,53848</link.rule.ids></links><search><creatorcontrib>Rakhmasari, A A</creatorcontrib><creatorcontrib>Djatna, T</creatorcontrib><creatorcontrib>Suparno, O</creatorcontrib><creatorcontrib>Rusli, M S</creatorcontrib><title>A sensitivity analysis of stochastic programming for reverse logistic of herbs agro-industry: a case study of herbs logistic in Indonesia</title><title>IOP conference series. Earth and environmental science</title><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><description>This paper analyses the sensitivity of reverse logistic formulation of herbs agro- industry based on fuzzy stochastic mixed integer linear programming. A case study from real world problem of herbs logistic in Indonesia is provided in order to respond stochastic challenges in the reverse logistic system. For implementation purpose of this current progress, some related historical and hypothetical data were deployed. The model was then used to test how far this fuzzy quantitative modelling is capable to solve the problem within available data ranges with consideration on possibility in each data occurrence. A GRG non-linear was used as model solution to solve the fuzzy stochastic modelling with implementation using Excel solver. The fuzzy quantitative modelling result with a case study in herbs logistic in Indonesia is concluded with verification and validation on current model formulation for decision making purposes in herbs reverse logistic.</description><subject>Agricultural industry</subject><subject>Case studies</subject><subject>Decision making</subject><subject>Herbs</subject><subject>Herbs agroindustry</subject><subject>herbs logistic</subject><subject>Integer programming</subject><subject>Linear programming</subject><subject>Mixed integer</subject><subject>Modelling</subject><subject>reverse logistic</subject><subject>Sensitivity analysis</subject><subject>Stochastic models</subject><subject>Stochastic programming</subject><issn>1755-1307</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkN9KwzAUh4MoOKevIAGva5MmaVbvxvDPYOCNXoc0SbuMrZk57aCP4FvbWdkuvToHzvc7nPMhdE_JIyWzWUqlEAllVKRcZilNCc2IEBdochpcnnoir9ENwIaQXHJWTND3HINrwLf-4Nse60Zve_CAQ4WhDWatofUG72Ooo97tfFPjKkQc3cFFcHgbav8LDPjaxRKwrmNIfGM7aGP_hDU2euCg7Wx_hk4x3-BlY0PjwOtbdFXpLbi7vzpFny_PH4u3ZPX-ulzMV4lhOW8TM5yek8xwpiWtLCmp5Jm1hhtrJOWMFWVlMuY4t0yURNpcM85zURTaGpcTNkUP497hqa_OQas2oYvD36AyIQTnkhMxUPlImRgAoqvUPvqdjr2iRB21q6NRdbSrBu2KqlH7EMzGoA_78-Z_Qj-5IIaN</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Rakhmasari, A A</creator><creator>Djatna, T</creator><creator>Suparno, O</creator><creator>Rusli, M S</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20200401</creationdate><title>A sensitivity analysis of stochastic programming for reverse logistic of herbs agro-industry: a case study of herbs logistic in Indonesia</title><author>Rakhmasari, A A ; Djatna, T ; Suparno, O ; Rusli, M S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-c006602c43a71fd0b1742ddc4cdc714339bfc23e44d35b07d6a3446599adce603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Agricultural industry</topic><topic>Case studies</topic><topic>Decision making</topic><topic>Herbs</topic><topic>Herbs agroindustry</topic><topic>herbs logistic</topic><topic>Integer programming</topic><topic>Linear programming</topic><topic>Mixed integer</topic><topic>Modelling</topic><topic>reverse logistic</topic><topic>Sensitivity analysis</topic><topic>Stochastic models</topic><topic>Stochastic programming</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rakhmasari, A A</creatorcontrib><creatorcontrib>Djatna, T</creatorcontrib><creatorcontrib>Suparno, O</creatorcontrib><creatorcontrib>Rusli, M S</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</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>Environmental Science Collection</collection><jtitle>IOP conference series. Earth and environmental science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rakhmasari, A A</au><au>Djatna, T</au><au>Suparno, O</au><au>Rusli, M S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A sensitivity analysis of stochastic programming for reverse logistic of herbs agro-industry: a case study of herbs logistic in Indonesia</atitle><jtitle>IOP conference series. Earth and environmental science</jtitle><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><date>2020-04-01</date><risdate>2020</risdate><volume>472</volume><issue>1</issue><spage>12055</spage><pages>12055-</pages><issn>1755-1307</issn><eissn>1755-1315</eissn><abstract>This paper analyses the sensitivity of reverse logistic formulation of herbs agro- industry based on fuzzy stochastic mixed integer linear programming. A case study from real world problem of herbs logistic in Indonesia is provided in order to respond stochastic challenges in the reverse logistic system. For implementation purpose of this current progress, some related historical and hypothetical data were deployed. The model was then used to test how far this fuzzy quantitative modelling is capable to solve the problem within available data ranges with consideration on possibility in each data occurrence. A GRG non-linear was used as model solution to solve the fuzzy stochastic modelling with implementation using Excel solver. The fuzzy quantitative modelling result with a case study in herbs logistic in Indonesia is concluded with verification and validation on current model formulation for decision making purposes in herbs reverse logistic.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1755-1315/472/1/012055</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1755-1307
ispartof IOP conference series. Earth and environmental science, 2020-04, Vol.472 (1), p.12055
issn 1755-1307
1755-1315
language eng
recordid cdi_proquest_journals_2555447405
source IOP Publishing Free Content; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; IOPscience extra
subjects Agricultural industry
Case studies
Decision making
Herbs
Herbs agroindustry
herbs logistic
Integer programming
Linear programming
Mixed integer
Modelling
reverse logistic
Sensitivity analysis
Stochastic models
Stochastic programming
title A sensitivity analysis of stochastic programming for reverse logistic of herbs agro-industry: a case study of herbs logistic in Indonesia
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T10%3A26%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20sensitivity%20analysis%20of%20stochastic%20programming%20for%20reverse%20logistic%20of%20herbs%20agro-industry:%20a%20case%20study%20of%20herbs%20logistic%20in%20Indonesia&rft.jtitle=IOP%20conference%20series.%20Earth%20and%20environmental%20science&rft.au=Rakhmasari,%20A%20A&rft.date=2020-04-01&rft.volume=472&rft.issue=1&rft.spage=12055&rft.pages=12055-&rft.issn=1755-1307&rft.eissn=1755-1315&rft_id=info:doi/10.1088/1755-1315/472/1/012055&rft_dat=%3Cproquest_cross%3E2555447405%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2555447405&rft_id=info:pmid/&rfr_iscdi=true