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A Robust Possibilistic Programming Model for Disaster Relief Routing under Information and Communication Technology

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Due to the uncertain nature of the parameters, the demand distribution and cost parameters are considered as fuzzy parameters. Furthermore, this paper examines the impact of information and communication technology in the affected areas so that instant information, communicate between the affected areas and the disaster coordination center due to new events caused by the disaster. We have examined the impact of information and communication technology on reducing demand uncertainty such that with consideration of the cost of equipping GPS in affected areas, as well as its impact on reducing demand uncertainty and the cost of dissatisfaction as a result; the best affected areas are selected to be equipped with GPS. To have robust solutions, a robust possibilistic programming model is proposed. The results of the model are shown in a real case study in district 7 of Tehran which acclaim that the proposed model achieves a better result than the traditional models without considering ICT." /> <meta name="title" content="A Robust Possibilistic Programming Model for Disaster Relief Routing under Information and Communication Technology" /> <meta name="googlebot" content="NOODP" /> <meta name="citation_title" content="A Robust Possibilistic Programming Model for Disaster Relief Routing under Information and Communication Technology" /> <meta name="citation_author" content="Nodoust, Sara" /> <meta name="citation_author_institution" content="School of Industrial Engineering, University of Science and Technology, Tehran, Iran" /> <meta name="citation_author" content="Pishvaee, Mir Saman" /> <meta name="citation_author_institution" content="School of Industrial Engineering, University of Science and Technology, Tehran, Iran" /> <meta name="citation_author" content="Seyedhosseini, Seyed Mohammad" /> <meta name="citation_author_institution" content="School of Industrial Engineering, University of Science and Technology, Tehran, Iran" /> <meta name="citation_abstract" content="In this paper, we investigate an integrated procurement and capacitated vehicle routing problem for the distribution of multiple relief goods after the disaster, to determine the best tour for vehicles as well as the best selection of multiple relief goods and their quantity to be loaded on vehicles. Due to the uncertain nature of the parameters, the demand distribution and cost parameters are considered as fuzzy parameters. Furthermore, this paper examines the impact of information and communication technology in the affected areas so that instant information, communicate between the affected areas and the disaster coordination center due to new events caused by the disaster. We have examined the impact of information and communication technology on reducing demand uncertainty such that with consideration of the cost of equipping GPS in affected areas, as well as its impact on reducing demand uncertainty and the cost of dissatisfaction as a result; the best affected areas are selected to be equipped with GPS. To have robust solutions, a robust possibilistic programming model is proposed. The results of the model are shown in a real case study in district 7 of Tehran which acclaim that the proposed model achieves a better result than the traditional models without considering ICT." /> <meta name="citation_id" content="2887" /> <meta name="citation_publication_date" content="2023/02/01" /> <meta name="citation_date" content="2023-02-01" /> <meta name="citation_journal_title" content="International Journal of Supply and Operations Management" /> <meta name="citation_issn" content="23831359" /> <meta name="citation_volume" content="10" /> <meta name="citation_issue" content="1" /> <meta name="citation_firstpage" content="38" /> <meta name="citation_lastpage" content="56" /> <meta name="citation_publisher" content="Kharazmi University" /> <meta name="citation_doi" content="10.22034/ijsom.2022.109452.2412" /> <meta name="DC.Identifier" content="10.22034/ijsom.2022.109452.2412" /> <meta name="citation_abstract_html_url" content="http://www.ijsom.com/article_2887.html" /> <meta name="citation_pdf_url" content="http://www.ijsom.com/article_2887_d99aac965eace5d906d143c8f91a8967.pdf" /> <meta name="DC.Title" content="A Robust Possibilistic Programming Model for Disaster Relief Routing under Information and Communication Technology" /> <meta name="DC.Source" content="International Journal of Supply and Operations Management" /> <meta name="DC.Date" content="01/02/2023" /> <meta name="DC.Date.issued" content="2023-02-01" /> <meta name="DC.Format" content="application/pdf" /> <meta name="DC.Contributor" content="Nodoust, Sara" /> <meta name="DC.Contributor" content="Pishvaee, Mir Saman" /> <meta name="DC.Contributor" content="Seyedhosseini, Seyed Mohammad" /> <meta name="og:title" content="A Robust Possibilistic Programming Model for Disaster Relief Routing under Information and Communication Technology" /> <meta name="og:description" content="In this paper, we investigate an integrated procurement and capacitated vehicle routing problem for the distribution of multiple relief goods after the disaster, to determine the best tour for vehicles as well as the best selection of multiple relief goods and their quantity to be loaded on vehicles. Due to the uncertain nature of the parameters, the demand distribution and cost parameters are considered as fuzzy parameters. Furthermore, this paper examines the impact of information and communication technology in the affected areas so that instant information, communicate between the affected areas and the disaster coordination center due to new events caused by the disaster. We have examined the impact of information and communication technology on reducing demand uncertainty such that with consideration of the cost of equipping GPS in affected areas, as well as its impact on reducing demand uncertainty and the cost of dissatisfaction as a result; the best affected areas are selected to be equipped with GPS. To have robust solutions, a robust possibilistic programming model is proposed. The results of the model are shown in a real case study in district 7 of Tehran which acclaim that the proposed model achieves a better result than the traditional models without considering ICT." /> <meta name="og:url" content="http://www.ijsom.com/article_2887.html" /> <!-- WEB FONTS : use %7C instead of | (pipe) --> <link href="./themes/base/front/assets/css/social-icon-font.css" rel="stylesheet" type="text/css" /> <!-- CORE CSS --> <link href="./themes/base/front/assets/plugins/bootstrap/css/bootstrap.min.css?v=0.02" rel="stylesheet" type="text/css" /> <link href="./themes/old/front/assets/css/header.css?v=0.05" rel="stylesheet" type="text/css" /> <link href="./themes/old/front/assets/css/footer.css" rel="stylesheet" type="text/css" /> <link href="./inc/css/essentials.css?v=0.2" rel="stylesheet" type="text/css" /> <link href="./inc/css/cookieconsent.min.css" rel="stylesheet" type="text/css" /> <link href="./inc/css/print.css" rel="stylesheet" type="text/css" media="print"/> <!-- 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id="dv_artcl"> <!-- Current Issue --> <div> <h1 class="margin-bottom-20 size-18 ltr"><span class="article_title bold"> A Robust Possibilistic Programming Model for Disaster Relief Routing under Information and Communication Technology</span></h1> <div> <div class="margin-bottom-3"> </div> <p class="margin-bottom-3">Document Type : Research Paper</p> <p class="padding-0" style="margin:12px -2px 0 -2px"><strong>Authors</strong></p> <ul class="list-inline list-inline-seprator margin-bottom-6 ltr"> <li class="padding-3"> <a href="./?_action=article&amp;au=127630&amp;_au=Sara++Nodoust">Sara Nodoust</a> </li> <li class="padding-3"> <a href="./?_action=article&amp;au=117744&amp;_au=Mir+Saman++Pishvaee">Mir Saman Pishvaee</a> <sup><a href="mailto:pishvaee@iust.ac.ir" data-toggle="tooltip" data-placement="bottom" title="Email to Corresponding Author"><i class="fa fa-envelope-o" ></i></a></sup> <sup class="ltr"><a class=" text-green" href="https://www.orcid.org/0000-0001-6389-6308" data-toggle="tooltip" data-placement="bottom" data-html="true" title="ORCID: 0000-0001-6389-6308" target="_blank"><i class="ai ai-orcid size-13" ></i></a></sup> </li> <li class="padding-3"> <a href="./?_action=article&amp;au=117729&amp;_au=Seyed+Mohammad++Seyedhosseini">Seyed Mohammad Seyedhosseini</a> <sup class="ltr"><a class=" text-green" href="https://www.orcid.org/0000-0001-9587-0049" data-toggle="tooltip" data-placement="bottom" data-html="true" title="ORCID: 0000-0001-9587-0049" target="_blank"><i class="ai ai-orcid size-13" ></i></a></sup> </li> </ul> <p class="margin-bottom-3 ltr" id="aff1"> School of Industrial Engineering, University of Science and Technology, Tehran, Iran </p> <div class="margin-bottom-3 ltr" id="ar_doi" title="DOI"><i class="ai ai-doi size-25 text-orange"></i> <span dir="ltr"><a href="https://dx.doi.org/10.22034/ijsom.2022.109452.2412">10.22034/ijsom.2022.109452.2412</a></span></div> <p style="margin:12px -2px 0 -2px"><strong>Abstract</strong></p> <div class="padding_abstract justify ltr">In this paper, we investigate an integrated procurement and capacitated vehicle routing problem for the distribution of multiple relief goods after the disaster, to determine the best tour for vehicles as well as the best selection of multiple relief goods and their quantity to be loaded on vehicles. Due to the uncertain nature of the parameters, the demand distribution and cost parameters are considered as fuzzy parameters. Furthermore, this paper examines the impact of information and communication technology in the affected areas so that instant information, communicate between the affected areas and the disaster coordination center due to new events caused by the disaster. We have examined the impact of information and communication technology on reducing demand uncertainty such that with consideration of the cost of equipping GPS in affected areas, as well as its impact on reducing demand uncertainty and the cost of dissatisfaction as a result; the best affected areas are selected to be equipped with GPS. To have robust solutions, a robust possibilistic programming model is proposed. The results of the model are shown in a real case study in district 7 of Tehran which acclaim that the proposed model achieves a better result than the traditional models without considering ICT.</div> <p class="padding-0" style="margin:12px -2px 0 -2px"><strong>Keywords</strong></p> <ul class="block list-inline list-inline-seprator margin-bottom-6 ltr"> <li class="padding-3"> <a class="tag_a" href="./?_action=article&amp;kw=106328&amp;_kw=Disaster" >Disaster</a> </li> <li class="padding-3"> <a class="tag_a" href="./?_action=article&amp;kw=106329&amp;_kw=Relief" >Relief</a> </li> <li class="padding-3"> <a class="tag_a" href="./?_action=article&amp;kw=104510&amp;_kw=Vehicle+Routing+Problem" >Vehicle Routing Problem</a> </li> <li class="padding-3"> <a class="tag_a" href="./?_action=article&amp;kw=106330&amp;_kw=Information+and+Communication+Technology" >Information and Communication Technology</a> </li> <li class="padding-3"> <a class="tag_a" href="./?_action=article&amp;kw=106331&amp;_kw=Robust+Possibilistic+Programming" >Robust Possibilistic Programming</a> </li> <li class="padding-3"> <a class="tag_a" href="./?_action=article&amp;kw=100577&amp;_kw=Uncertainty" >Uncertainty</a> </li> </ul> </div> <hr> <div class="page_break"></div> <div class="panel"> <div class="panel-heading card-header"> <h4 class="panel-title "> <a data-toggle="collapse" data-parent="#accordions" href="#collapsesRef"><i class="fa fa-plus"></i> References</a> </h4> </div> <div id="collapsesRef" class="panel-collapse collapse"> <div class="panel-body justify"> <div class="padding-3 margin-top-3 ltr justify">Afshar A. and Haghani A. 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class="modal-title" id="myModalLabel">APA</h4> </div> <!-- Modal Body --> <div class="modal-body"> <p>Nodoust, S., Pishvaee, M., & Seyedhosseini, S. (2023). A Robust Possibilistic Programming Model for Disaster Relief Routing under Information and Communication Technology. <em>International Journal of Supply and Operations Management</em>, 10(1), 38-56. doi: 10.22034/ijsom.2022.109452.2412</p> </div> </div> </div> </div> <div id="cite-mla" class="modal fade" tabindex="-1" role="dialog" aria-labelledby="myModalLabel" aria-hidden="true"> <div class="modal-dialog"> <div class="modal-content"> <!-- Modal Header --> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">&times;</span></button> <h4 class="modal-title" id="myModalLabel">MLA</h4> </div> <!-- Modal Body --> <div class="modal-body"> <p>Sara Nodoust; Mir Saman Pishvaee; Seyed Mohammad Seyedhosseini. "A Robust Possibilistic Programming Model for Disaster Relief Routing under Information and Communication Technology". <em>International Journal of Supply and Operations Management</em>, 10, 1, 2023, 38-56. doi: 10.22034/ijsom.2022.109452.2412</p> </div> </div> </div> </div> <div id="cite-harvard" class="modal fade" tabindex="-1" role="dialog" aria-labelledby="myModalLabel" aria-hidden="true"> <div class="modal-dialog"> <div class="modal-content"> <!-- Modal Header --> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">&times;</span></button> <h4 class="modal-title" id="myModalLabel">HARVARD</h4> </div> <!-- Modal Body --> <div class="modal-body"> <p>Nodoust, S., Pishvaee, M., Seyedhosseini, S. (2023). 'A Robust Possibilistic Programming Model for Disaster Relief Routing under Information and Communication Technology', <em>International Journal of Supply and Operations Management</em>, 10(1), pp. 38-56. doi: 10.22034/ijsom.2022.109452.2412</p> </div> </div> </div> </div> <div id="cite-vancouver" class="modal fade" tabindex="-1" role="dialog" aria-labelledby="myModalLabel" aria-hidden="true"> <div class="modal-dialog"> <div class="modal-content"> <!-- Modal Header --> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">&times;</span></button> <h4 class="modal-title" id="myModalLabel">VANCOUVER</h4> </div> <!-- Modal Body --> <div class="modal-body"> <p>Nodoust, S., Pishvaee, M., Seyedhosseini, S. A Robust Possibilistic Programming Model for Disaster Relief Routing under Information and Communication Technology. <em>International Journal of Supply and Operations Management</em>, 2023; 10(1): 38-56. doi: 10.22034/ijsom.2022.109452.2412</p> </div> </div> </div> </div> </div> </div> <!-- /MAIN CONTENT --> <!-- Subscribe --> <section class="alternate padding-xxs"> </section> <!-- /Subscribe --> <!-- FOOTER --> <div class="container"> <footer id="footer"> <div class="scrollup" id="scroll" href="#"><span></span></div> <div class="row"> <div class="col-md-2"> <!-- Links --> <h4 class="">Explore Journal</h4> <ul class="footer-links list-unstyled"> <li id="fli_home"><a href="./">Home</a></li> <li id="fli_about"><a href="./journal/about">About Journal</a></li> <li id="fli_Edb"><a href="./journal/editorial.board">Editorial Board</a></li> <li id="fli_submit"><a href="./author">Submit Manuscript</a></li> <li id="fli_contactus"><a href="./journal/contact.us">Contact Us</a></li> <li id="fli_glossary"><a href="./journal/glossary">Glossary</a></li> <li id="fli_order_hrdj"><a href="./journal/subscription.form">Hard Copy Subscription</a></li> <li id="fli_sitemap"><a href="./sitemap.xml?usr">Sitemap</a></li> </ul> <!-- /Links --> </div> <div class="col-md-3"> <!-- Latest News --> <h4 class="">Latest News</h4> <ul class="footer-posts list-unstyled"> <li> <a href="./news?newsCode=173">SD of ISC: Sustainable Development of Intelligent Supply Chains based on Trends and Future Directions: Application of Novel Solution Techniques</a> <small class="ltr">2023-03-05</small> </li> </ul> <!-- /Latest News --> </div> <div class="col-md-3"> <!-- Footer Note --> <div><p><a title="Linkedin" href="http://www.linkedin.com/company/ijsom?trk=eml-cp_mktg-btn-welcome-20120607%2F"><img src="images/linkedin.jpg" alt="linkedin" /></a></p></div> <!-- /Footer Note --> </div> <div class="col-md-4"> <!-- Newsletter Form --> <h4 class="">Newsletter Subscription</h4> <p>Subscribe to the journal newsletter and receive the latest news and updates</p> <form class="validate" action="" method="post" data-success="Subscription saved successfully." data-toastr-position="bottom-right"> <input type="hidden" name="_token" value="19b65e807df1911ba50acf541827d0d006fb69f943fcb5f3"/> <div class="input-group"> <span class="input-group-addon"><i class="fa fa-envelope"></i></span> <input type="email" id="email" name="email" required="required" class="form-control required sbs_email" placeholder="Enter your Email" oninvalid="this.setCustomValidity('Enter a valid email address.')" oninput="this.setCustomValidity('')"> <span class="input-group-btn"> <button class="btn btn-primary mybtn" type="submit">Subscribe</button> </span> </div> </form> <!-- /Newsletter Form --> <!-- Social Icons --> <div class="margin-top-20"> <a class="noborder" href="" target="_blank" class="social-icon social-icon-border social-facebook pull-left block" data-toggle="tooltip" data-placement="top" title="Facebook"> <i class="fa fa-facebook-square" aria-hidden="true"></i> </a> <a class="noborder" href="" target="_blank" class="social-icon social-icon-border social-facebook pull-left block" data-toggle="tooltip" data-placement="top" title="Twitter"> <i class="fa fa-twitter-square" aria-hidden="true"></i> </a> <a class="noborder" href="" target="_blank" class="social-icon social-icon-border social-facebook pull-left block" data-toggle="tooltip" data-placement="top" title="Linkedin"> <i class="fa fa-linkedin-square" aria-hidden="true"></i> </a> <a class="noborder" href="./ju.rss" class="social-icon social-icon-border social-rss pull-left block" data-toggle="tooltip" data-placement="top" title="Rss"><i class="fa fa-rss-square" aria-hidden="true"></i></a> </div> </div> </div> <div class="copyright" style="position: relative"> <ul class="nomargin list-inline mobile-block"> <li>&copy; 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