{"id":5684,"date":"2024-10-04T18:49:45","date_gmt":"2024-10-04T18:49:45","guid":{"rendered":"https:\/\/ienext.eng.chula.ac.th\/?page_id=5684"},"modified":"2024-10-04T18:50:54","modified_gmt":"2024-10-04T18:50:54","slug":"%e0%b8%ad%e0%b8%a1%e0%b8%a3%e0%b8%a8%e0%b8%b4%e0%b8%a3%e0%b8%b4-%e0%b8%a7%e0%b8%b4%e0%b8%a5%e0%b8%b2%e0%b8%aa%e0%b9%80%e0%b8%94%e0%b8%8a%e0%b8%b2%e0%b8%99%e0%b8%99%e0%b8%97%e0%b9%8c","status":"publish","type":"page","link":"https:\/\/ienext.eng.chula.ac.th\/?page_id=5684","title":{"rendered":"\u0e2d\u0e21\u0e23\u0e28\u0e34\u0e23\u0e34 \u0e27\u0e34\u0e25\u0e32\u0e2a\u0e40\u0e14\u0e0a\u0e32\u0e19\u0e19\u0e17\u0e4c"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"5684\" class=\"elementor elementor-5684\" data-elementor-post-type=\"page\">\n\t\t\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-5442381 e-flex e-con-boxed e-con e-parent\" data-id=\"5442381\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2df925d elementor-widget elementor-widget-html\" data-id=\"2df925d\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t<!-- Flexy Breadcrumb -->\r\n\t\t\t<div class=\"fbc fbc-page\">\r\n\r\n\t\t\t\t<!-- Breadcrumb wrapper -->\r\n\t\t\t\t<div class=\"fbc-wrap\">\r\n\r\n\t\t\t\t\t<!-- Ordered list-->\r\n\t\t\t\t\t<ol class=\"fbc-items\" itemscope itemtype=\"https:\/\/schema.org\/BreadcrumbList\">\r\n\t\t\t\t\t\t            <li itemprop=\"itemListElement\" itemscope itemtype=\"https:\/\/schema.org\/ListItem\">\r\n                <span itemprop=\"name\">\r\n                    <!-- Home Link -->\r\n                    <a itemprop=\"item\" href=\"https:\/\/ienext.eng.chula.ac.th\">\r\n                    \r\n                                                    <i class=\"fa fa-home\" aria-hidden=\"true\"><\/i>Home                    <\/a>\r\n                <\/span>\r\n                <meta itemprop=\"position\" content=\"1\" \/><!-- Meta Position-->\r\n             <\/li><li><span class=\"fbc-separator\">\/<\/span><\/li><li class=\"active\" itemprop=\"itemListElement\" itemscope itemtype=\"https:\/\/schema.org\/ListItem\"><span itemprop=\"name\" title=\"\u0e2d\u0e21\u0e23\u0e28\u0e34\u0e23\u0e34 \u0e27\u0e34\u0e25\u0e32\u0e2a\u0e40\u0e14\u0e0a\u0e32\u0e19\u0e19\u0e17\u0e4c\">\u0e2d\u0e21\u0e23\u0e28\u0e34\u0e23\u0e34 \u0e27\u0e34\u0e25\u0e32\u0e2a\u0e40\u0e14\u0e0a\u0e32\u0e19\u0e19\u0e17\u0e4c<\/span><meta itemprop=\"position\" content=\"2\" \/><\/li>\t\t\t\t\t<\/ol>\r\n\t\t\t\t\t<div class=\"clearfix\"><\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-76dc323 e-flex e-con-boxed e-con e-parent\" data-id=\"76dc323\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-492e764 e-con-full e-flex e-con e-child\" data-id=\"492e764\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1a880c1 elementor-widget elementor-widget-image\" data-id=\"1a880c1\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.22.0 - 26-06-2024 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"500\" height=\"500\" src=\"https:\/\/ienext.eng.chula.ac.th\/wp-content\/uploads\/2024\/07\/Amornsiri-e1721113358342.jpg\" class=\"attachment-full size-full wp-image-809\" alt=\"\" srcset=\"https:\/\/ienext.eng.chula.ac.th\/wp-content\/uploads\/2024\/07\/Amornsiri-e1721113358342.jpg 500w, https:\/\/ienext.eng.chula.ac.th\/wp-content\/uploads\/2024\/07\/Amornsiri-e1721113358342-300x300.jpg 300w, https:\/\/ienext.eng.chula.ac.th\/wp-content\/uploads\/2024\/07\/Amornsiri-e1721113358342-150x150.jpg 150w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-fa5e16e e-con-full e-flex e-con e-child\" data-id=\"fa5e16e\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a7102db elementor-widget elementor-widget-heading\" data-id=\"a7102db\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.22.0 - 26-06-2024 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">\t\t\t<span class=\"ctc-inline-copy \" aria-label=\"Copied\">\n\t\t\t\t<span class=\"ctc-inline-copy-text \">\u0e1c\u0e28. \u0e14\u0e23.\u0e2d\u0e21\u0e23\u0e28\u0e34\u0e23\u0e34 \u0e27\u0e34\u0e25\u0e32\u0e2a\u0e40\u0e14\u0e0a\u0e32\u0e19\u0e19\u0e17\u0e4c<\/span>\n\t\t\t\t<textarea style=\"display: none;\" class=\"ctc-inline-copy-textarea\" readonly=\"readonly\">\u0e1c\u0e28. \u0e14\u0e23.\u0e2d\u0e21\u0e23\u0e28\u0e34\u0e23\u0e34 \u0e27\u0e34\u0e25\u0e32\u0e2a\u0e40\u0e14\u0e0a\u0e32\u0e19\u0e19\u0e17\u0e4c<\/textarea>\n\t\t\t\t<span class=\"ctc-inline-copy-icon\" role=\"button\" aria-label=\"Copied\">\n\t\t\t\t\t<svg aria-hidden=\"true\" focusable=\"false\" role=\"img\" class=\"copy-icon\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\"><path d=\"M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z\"><\/path><path d=\"M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z\"><\/path><\/svg>\t\t\t\t\t<svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"check-icon\" fill=\"currentColor\"><path d=\"M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/span>\n\t\t\t<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cb3f60d elementor-align-left elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"cb3f60d\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<link rel=\"stylesheet\" href=\"https:\/\/ienext.eng.chula.ac.th\/wp-content\/uploads\/elementor\/css\/custom-widget-icon-list.min.css?ver=1754475633\">\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-building\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M436 480h-20V24c0-13.255-10.745-24-24-24H56C42.745 0 32 10.745 32 24v456H12c-6.627 0-12 5.373-12 12v20h448v-20c0-6.627-5.373-12-12-12zM128 76c0-6.627 5.373-12 12-12h40c6.627 0 12 5.373 12 12v40c0 6.627-5.373 12-12 12h-40c-6.627 0-12-5.373-12-12V76zm0 96c0-6.627 5.373-12 12-12h40c6.627 0 12 5.373 12 12v40c0 6.627-5.373 12-12 12h-40c-6.627 0-12-5.373-12-12v-40zm52 148h-40c-6.627 0-12-5.373-12-12v-40c0-6.627 5.373-12 12-12h40c6.627 0 12 5.373 12 12v40c0 6.627-5.373 12-12 12zm76 160h-64v-84c0-6.627 5.373-12 12-12h40c6.627 0 12 5.373 12 12v84zm64-172c0 6.627-5.373 12-12 12h-40c-6.627 0-12-5.373-12-12v-40c0-6.627 5.373-12 12-12h40c6.627 0 12 5.373 12 12v40zm0-96c0 6.627-5.373 12-12 12h-40c-6.627 0-12-5.373-12-12v-40c0-6.627 5.373-12 12-12h40c6.627 0 12 5.373 12 12v40zm0-96c0 6.627-5.373 12-12 12h-40c-6.627 0-12-5.373-12-12V76c0-6.627 5.373-12 12-12h40c6.627 0 12 5.373 12 12v40z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">7<sup>th<\/sup> Floor of Engineering 4 Bldg., Room 711<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"mailto:amonsiri.v@chula.ac.th\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-envelope\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M502.3 190.8c3.9-3.1 9.7-.2 9.7 4.7V400c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V195.6c0-5 5.7-7.8 9.7-4.7 22.4 17.4 52.1 39.5 154.1 113.6 21.1 15.4 56.7 47.8 92.2 47.6 35.7.3 72-32.8 92.3-47.6 102-74.1 131.6-96.3 154-113.7zM256 320c23.2.4 56.6-29.2 73.4-41.4 132.7-96.3 142.8-104.7 173.4-128.7 5.8-4.5 9.2-11.5 9.2-18.9v-19c0-26.5-21.5-48-48-48H48C21.5 64 0 85.5 0 112v19c0 7.4 3.4 14.3 9.2 18.9 30.6 23.9 40.7 32.4 173.4 128.7 16.8 12.2 50.2 41.8 73.4 41.4z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">amonsiri.v@chula.ac.th<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-921b7f0 e-con-full e-flex elementor-invisible e-con e-parent\" data-id=\"921b7f0\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;animation&quot;:&quot;fadeIn&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1bbfa79 elementor-widget elementor-widget-text-editor\" data-id=\"1bbfa79\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.22.0 - 26-06-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<h4><strong><span class=\"ant-typography StyledText css-15ni9ka\">Education<\/span><\/strong><\/h4>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3e26a24 elementor-widget elementor-widget-text-editor\" data-id=\"3e26a24\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Ph.D. (Industrial Engineering)<br \/>University of Wisconsin-Madison, United States, 2016<\/p><p>MS.C. (Industrial Engineering)<br \/>Columbia University in the City of New York, United States, 2009<\/p><p>\u0e27\u0e34\u0e28\u0e27\u0e01\u0e23\u0e23\u0e21\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e21\u0e2b\u0e32\u0e1a\u0e31\u0e13\u0e11\u0e34\u0e15 (\u0e27\u0e34\u0e28\u0e27\u0e01\u0e23\u0e23\u0e21\u0e2d\u0e38\u0e15\u0e2a\u0e32\u0e2b\u0e01\u0e32\u0e23)<br \/>\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 2007<\/p><p>\u0e27\u0e34\u0e28\u0e27\u0e01\u0e23\u0e23\u0e21\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e1a\u0e31\u0e13\u0e11\u0e34\u0e15 (\u0e27\u0e34\u0e28\u0e27\u0e01\u0e23\u0e23\u0e21\u0e2d\u0e38\u0e15\u0e2a\u0e32\u0e2b\u0e01\u0e32\u0e23)<br \/>\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 2005<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-b43563c e-flex e-con-boxed e-con e-parent\" data-id=\"b43563c\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-2484244 e-con-full e-flex elementor-invisible e-con e-parent\" data-id=\"2484244\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;animation&quot;:&quot;fadeIn&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-85ced04 elementor-widget elementor-widget-text-editor\" data-id=\"85ced04\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h4><strong><span class=\"ant-typography StyledText css-15ni9ka\">Expertise<\/span><\/strong><\/h4>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a7004c8 elementor-widget elementor-widget-text-editor\" data-id=\"a7004c8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span class=\"ant-typography StyledText css-1oc51h5\">Manufacturing &amp; Service Systems<\/span><\/p><p><span class=\"ant-typography StyledText css-1oc51h5\">Statistics &amp; Data Analysis<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-dd10e04 e-flex e-con-boxed e-con e-parent\" data-id=\"dd10e04\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-f3bff30 e-con-full e-flex elementor-invisible e-con e-parent\" data-id=\"f3bff30\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;animation&quot;:&quot;fadeIn&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-70ddead elementor-widget elementor-widget-text-editor\" data-id=\"70ddead\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h4><strong><span class=\"ant-typography StyledText css-15ni9ka\">Publications<br \/><\/span><\/strong><\/h4><p><div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><\/form><div class=\"teachpress_publication_list\"><h3 class=\"tp_h3\" id=\"tp_h3_2024\">2024<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Racha Lertsakwanit, Amonsiri Vilasdaechanont<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('619','tp_links')\" style=\"cursor:pointer;\">Ocular Prosthesis Fabrication Scheduling Using Genetic Algorithm<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Engineering Journal, <\/span><span class=\"tp_pub_additional_volume\">vol. 28, <\/span><span class=\"tp_pub_additional_number\">no. 11, <\/span><span class=\"tp_pub_additional_pages\">pp. 69 \u2013 79, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 01258281<\/span><span class=\"tp_pub_additional_note\">, (Cited by: 0; All Open Access, Gold Open Access)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_619\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('619','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_619\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('619','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_619\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('619','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_619\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Lertsakwanit202469,<br \/>\r\ntitle = {Ocular Prosthesis Fabrication Scheduling Using Genetic Algorithm},<br \/>\r\nauthor = {Racha Lertsakwanit and Amonsiri Vilasdaechanont},<br \/>\r\nurl = {https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85211902150&doi=10.4186%2fej.2024.28.11.69&partnerID=40&md5=741779df0c1862a54ba9a102e4ba5ba9},<br \/>\r\ndoi = {10.4186\/ej.2024.28.11.69},<br \/>\r\nissn = {01258281},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {Engineering Journal},<br \/>\r\nvolume = {28},<br \/>\r\nnumber = {11},<br \/>\r\npages = {69 \u2013 79},<br \/>\r\npublisher = {Chulalongkorn University, Faculty of Fine and Applied Arts},<br \/>\r\nabstract = {This research examines an ocular prosthesis centre\u2019s operation and incorporates scheduling decision techniques to optimise its fabrication. A customised eye prosthesis is a make-to-order product which involves several labour-intensive processes and inherently poses scheduling challenges. As a result, patients' fitment dates are appointed with extra time to account for potential delays. The objective of scheduling is to minimise both total completion time and tardiness. The methodology begins with a process review of the customised eye prosthesis fabrication and criteria. Subsequently, a Mixed Integer Linear Programming (MILP) model is formulated to solve the assignment and sequencing problems. It is found during this stage that computational time increases significantly as the number of orders increases. To solve this problem, a Genetic Algorithm (GA) is proposed to find a near-optimal solution in a reasonable computational time. Instances selected for experiment are based on characteristics of a tertiary hospital\u2019s ocular prosthesis centre. Small instances are experimented to validate the proposed algorithm against the MILP model. The GA demonstrates near-optimal solutions with a variance of one percent, with reasonable computational time. Practical-size problems are subsequently solved using the proposed algorithm. In conclusion, the proposed GA yields satisfactory solutions with acceptable runtime for this application. \u00a9 2024, Chulalongkorn University, Faculty of Fine and Applied Arts. All rights reserved.},<br \/>\r\nnote = {Cited by: 0; All Open Access, Gold Open Access},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('619','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_619\" style=\"display:none;\"><div class=\"tp_abstract_entry\">This research examines an ocular prosthesis centre\u2019s operation and incorporates scheduling decision techniques to optimise its fabrication. A customised eye prosthesis is a make-to-order product which involves several labour-intensive processes and inherently poses scheduling challenges. As a result, patients&#8217; fitment dates are appointed with extra time to account for potential delays. The objective of scheduling is to minimise both total completion time and tardiness. The methodology begins with a process review of the customised eye prosthesis fabrication and criteria. Subsequently, a Mixed Integer Linear Programming (MILP) model is formulated to solve the assignment and sequencing problems. It is found during this stage that computational time increases significantly as the number of orders increases. To solve this problem, a Genetic Algorithm (GA) is proposed to find a near-optimal solution in a reasonable computational time. Instances selected for experiment are based on characteristics of a tertiary hospital\u2019s ocular prosthesis centre. Small instances are experimented to validate the proposed algorithm against the MILP model. The GA demonstrates near-optimal solutions with a variance of one percent, with reasonable computational time. Practical-size problems are subsequently solved using the proposed algorithm. In conclusion, the proposed GA yields satisfactory solutions with acceptable runtime for this application. \u00a9 2024, Chulalongkorn University, Faculty of Fine and Applied Arts. All rights reserved.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('619','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_619\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85211902150&amp;doi=10.4186%2fej.2024.28.11.69&amp;partnerID=40&amp;md5=741779df0c1862a54ba9a102e4ba5ba9\" title=\"https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85211902150&amp;doi=10.4186%[...]\" target=\"_blank\">https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85211902150&amp;doi=10.4186%[&#8230;]<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.4186\/ej.2024.28.11.69\" title=\"Follow DOI:10.4186\/ej.2024.28.11.69\" target=\"_blank\">doi:10.4186\/ej.2024.28.11.69<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('619','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2020\">2020<\/h3><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">P. Buathong, A. Vilasdaechanont<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('419','tp_links')\" style=\"cursor:pointer;\">Development of Decision Support System for Solving the Machine Selection Problem in an Intermittent Manufacturing System Design<\/a> <span class=\"tp_pub_type tp_  conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_volume\">vol. 784, <\/span><span class=\"tp_pub_additional_number\">no. 1, <\/span><span class=\"tp_pub_additional_publisher\">Institute of Physics Publishing, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 17578981<\/span><span class=\"tp_pub_additional_note\">, (Cited by: 0; All Open Access, Gold Open Access)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_419\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('419','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_419\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('419','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_419\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('419','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_419\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{Buathong2020,<br \/>\r\ntitle = {Development of Decision Support System for Solving the Machine Selection Problem in an Intermittent Manufacturing System Design},<br \/>\r\nauthor = {P. Buathong and A. Vilasdaechanont},<br \/>\r\nurl = {https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85083186266&doi=10.1088%2f1757-899X%2f784%2f1%2f012022&partnerID=40&md5=ec3778c4fef310a796b7c7ebb63efc84},<br \/>\r\ndoi = {10.1088\/1757-899X\/784\/1\/012022},<br \/>\r\nissn = {17578981},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\njournal = {IOP Conference Series: Materials Science and Engineering},<br \/>\r\nvolume = {784},<br \/>\r\nnumber = {1},<br \/>\r\npublisher = {Institute of Physics Publishing},<br \/>\r\nabstract = {Capacity planning, which is integral to resource selection and allocation, is an important task in manufacturing system design. As budget is limited, investment in resources must be done carefully and appropriately in order to achieve desired capacity and system efficiency. One of the most expensive and valuable resources in the manufacturing system is machinery. Therefore, selecting an appropriate machine is of high significance. Among many types of manufacturing systems, intermittent manufacturing system is complex, yet flexible. The intermittent manufacturing system enables manufacturers to produce multiple products using multiple processes and multiple machines. The system comprises a network of multiple types of multi-process machines. A machine selection problem in the context of the intermittent manufacturing system is a delicate process, as it must correspond appropriately with production complexities. To alleviate this problem, we develop a decision support system for solving the machine selection problem in an intermittent manufacturing system design. We study several manufacturing systems producing multiple types of products with various multi-process machines to lay out the framework. This decision support system consists of four main parts, namely; data entry, data conversion, optimization model and report. To solve the machine selection problem, an optimization technique is used to identify the optimal number of machines and the allocation of production process of each machine. The objective of this optimization problem is to minimize total production costs (machine cost and operating cost) while maintaining production capacity and other production constraints. The decision support system is developed for and validated with the manufacturing company. \u00a9 Published under licence by IOP Publishing Ltd.},<br \/>\r\nnote = {Cited by: 0; All Open Access, Gold Open Access},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('419','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_419\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Capacity planning, which is integral to resource selection and allocation, is an important task in manufacturing system design. As budget is limited, investment in resources must be done carefully and appropriately in order to achieve desired capacity and system efficiency. One of the most expensive and valuable resources in the manufacturing system is machinery. Therefore, selecting an appropriate machine is of high significance. Among many types of manufacturing systems, intermittent manufacturing system is complex, yet flexible. The intermittent manufacturing system enables manufacturers to produce multiple products using multiple processes and multiple machines. The system comprises a network of multiple types of multi-process machines. A machine selection problem in the context of the intermittent manufacturing system is a delicate process, as it must correspond appropriately with production complexities. To alleviate this problem, we develop a decision support system for solving the machine selection problem in an intermittent manufacturing system design. We study several manufacturing systems producing multiple types of products with various multi-process machines to lay out the framework. This decision support system consists of four main parts, namely; data entry, data conversion, optimization model and report. To solve the machine selection problem, an optimization technique is used to identify the optimal number of machines and the allocation of production process of each machine. The objective of this optimization problem is to minimize total production costs (machine cost and operating cost) while maintaining production capacity and other production constraints. The decision support system is developed for and validated with the manufacturing company. \u00a9 Published under licence by IOP Publishing Ltd.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('419','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_419\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85083186266&amp;doi=10.1088%2f1757-899X%2f784%2f1%2f012022&amp;partnerID=40&amp;md5=ec3778c4fef310a796b7c7ebb63efc84\" title=\"https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85083186266&amp;doi=10.1088%[...]\" target=\"_blank\">https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85083186266&amp;doi=10.1088%[&#8230;]<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1088\/1757-899X\/784\/1\/012022\" title=\"Follow DOI:10.1088\/1757-899X\/784\/1\/012022\" target=\"_blank\">doi:10.1088\/1757-899X\/784\/1\/012022<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('419','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Thitiwat Chunthanom, Amonsiri Vilasdaechanont<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('418','tp_links')\" style=\"cursor:pointer;\">Production cost analysis of plastic woven sack manufacturer<\/a> <span class=\"tp_pub_type tp_  conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_publisher\">Association for Computing Machinery, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 978-145037546-7<\/span><span class=\"tp_pub_additional_note\">, (Cited by: 0)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_418\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('418','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_418\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('418','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_418\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('418','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_418\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{Chunthanom202049,<br \/>\r\ntitle = {Production cost analysis of plastic woven sack manufacturer},<br \/>\r\nauthor = {Thitiwat Chunthanom and Amonsiri Vilasdaechanont},<br \/>\r\nurl = {https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85092713638&doi=10.1145%2f3416028.3416038&partnerID=40&md5=7e7b64fad22146e5412ce10ef5f4c9da},<br \/>\r\ndoi = {10.1145\/3416028.3416038},<br \/>\r\nisbn = {978-145037546-7},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\njournal = {ACM International Conference Proceeding Series},<br \/>\r\npages = {49 \u2013 53},<br \/>\r\npublisher = {Association for Computing Machinery},<br \/>\r\nabstract = {The plastic woven sack industry in Thailand is increasingly growing and competitive due to a lot of operators and price competition. The accuracy of production cost is vital for decision making in management, effect to selling price and impact the organization profit. We study at a fully integrated plastic woven sack factory. The cost calculation method of the case study manufacturer currently does not reflect the actual production cost. The purpose of this study is to analyze and develop the production cost calculation method to estimate the production cost more precisely. The study begins with laying out the production structure and concepts of production cost calculation from the cost model. It consists of direct material costs, direct labor costs and production overhead costs. Direct materials costs are calculated from the material usage in the production which includes the material in product and loss of material in any of production process. The material usage along the production is analyzed and the direct material cost is calculated under the material balance concept, which is different from the traditional calculation method that does not considered the material loss in the production. The proposed calculation method for direct labor cost is set to reflect an actual labor cost of the production, while in the traditional method, labor cost is counted in the overhead cost. Production overhead costs proposed in this study are different from the traditional calculation methods by considering all of overheads in the model. The result of the study shows that the traditional method overestimates the unit production cost. The cost difference between both methods is around 10 percent. An average direct material cost of the proposed method is higher than the traditional method by 7 percent as the material loss occurred in the production process is included. Since direct labor cost is not considered separately and counted in overhead cost in the traditional method, we analyses them together. According to the analysis, we find that they are overestimated in traditional method for 27 percent. \u00a9 2020 ACM.},<br \/>\r\nnote = {Cited by: 0},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('418','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_418\" style=\"display:none;\"><div class=\"tp_abstract_entry\">The plastic woven sack industry in Thailand is increasingly growing and competitive due to a lot of operators and price competition. The accuracy of production cost is vital for decision making in management, effect to selling price and impact the organization profit. We study at a fully integrated plastic woven sack factory. The cost calculation method of the case study manufacturer currently does not reflect the actual production cost. The purpose of this study is to analyze and develop the production cost calculation method to estimate the production cost more precisely. The study begins with laying out the production structure and concepts of production cost calculation from the cost model. It consists of direct material costs, direct labor costs and production overhead costs. Direct materials costs are calculated from the material usage in the production which includes the material in product and loss of material in any of production process. The material usage along the production is analyzed and the direct material cost is calculated under the material balance concept, which is different from the traditional calculation method that does not considered the material loss in the production. The proposed calculation method for direct labor cost is set to reflect an actual labor cost of the production, while in the traditional method, labor cost is counted in the overhead cost. Production overhead costs proposed in this study are different from the traditional calculation methods by considering all of overheads in the model. The result of the study shows that the traditional method overestimates the unit production cost. The cost difference between both methods is around 10 percent. An average direct material cost of the proposed method is higher than the traditional method by 7 percent as the material loss occurred in the production process is included. Since direct labor cost is not considered separately and counted in overhead cost in the traditional method, we analyses them together. According to the analysis, we find that they are overestimated in traditional method for 27 percent. \u00a9 2020 ACM.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('418','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_418\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85092713638&amp;doi=10.1145%2f3416028.3416038&amp;partnerID=40&amp;md5=7e7b64fad22146e5412ce10ef5f4c9da\" title=\"https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85092713638&amp;doi=10.1145%[...]\" target=\"_blank\">https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85092713638&amp;doi=10.1145%[&#8230;]<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1145\/3416028.3416038\" title=\"Follow DOI:10.1145\/3416028.3416038\" target=\"_blank\">doi:10.1145\/3416028.3416038<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('418','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2018\">2018<\/h3><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">S. Jongcheveevat, N. Phumchusri, A. Vilasdaechanont<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('269','tp_links')\" style=\"cursor:pointer;\">Optimal Overbooking Decision for Perishable Resources with Jointly Stochastic Booking and Show-up Requests<\/a> <span class=\"tp_pub_type tp_  conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_volume\">vol. 2019-December, <\/span><span class=\"tp_pub_additional_publisher\">IEEE Computer Society, <\/span><span class=\"tp_pub_additional_year\">2018<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 21573611<\/span><span class=\"tp_pub_additional_note\">, (Cited by: 1)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_269\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('269','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_269\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('269','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_269\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('269','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_269\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{Jongcheveevat20181451,<br \/>\r\ntitle = {Optimal Overbooking Decision for Perishable Resources with Jointly Stochastic Booking and Show-up Requests},<br \/>\r\nauthor = {S. Jongcheveevat and N. Phumchusri and A. Vilasdaechanont},<br \/>\r\nurl = {https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85061768426&doi=10.1109%2fIEEM.2018.8607490&partnerID=40&md5=fe970afe131699b980872dc984321749},<br \/>\r\ndoi = {10.1109\/IEEM.2018.8607490},<br \/>\r\nissn = {21573611},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-01-01},<br \/>\r\njournal = {IEEE International Conference on Industrial Engineering and Engineering Management},<br \/>\r\nvolume = {2019-December},<br \/>\r\npages = {1451 \u2013 1455},<br \/>\r\npublisher = {IEEE Computer Society},<br \/>\r\nabstract = {Overbooking is a methodology in revenue management to optimize important decision making for perishable resources or services with uncertain demand. Overbooking allows an incoming booking to be accepted in exceedance of an available capacity because it is believed that some booking will be cancelled later. It is a complicated and risky decision since the decision maker needs to minimize both outsourcing cost and opportunity-lost cost simultaneously. When there are two classes of resources, it is not necessary to always outsource the insufficient and Iow-priced resources. Upgrading customers to high-priced resources is possible. The objective of this research is to develop overbooking models for (1) one class of resources and (2) two classes of resources (ie, high and low price) to minimize total cost i. e., opportunity cost, cost of upgrading and outsource cost). The main contribution of this research is that, unlike other existing literatures, the opportunity cost considered is specifically identified in the situation where too much booking request rejection of each type of resources is present. Sensitivity analysis of our model is also shown for managerial insights. \u00a9 2018 IEEE.},<br \/>\r\nnote = {Cited by: 1},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('269','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_269\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Overbooking is a methodology in revenue management to optimize important decision making for perishable resources or services with uncertain demand. Overbooking allows an incoming booking to be accepted in exceedance of an available capacity because it is believed that some booking will be cancelled later. It is a complicated and risky decision since the decision maker needs to minimize both outsourcing cost and opportunity-lost cost simultaneously. When there are two classes of resources, it is not necessary to always outsource the insufficient and Iow-priced resources. Upgrading customers to high-priced resources is possible. The objective of this research is to develop overbooking models for (1) one class of resources and (2) two classes of resources (ie, high and low price) to minimize total cost i. e., opportunity cost, cost of upgrading and outsource cost). The main contribution of this research is that, unlike other existing literatures, the opportunity cost considered is specifically identified in the situation where too much booking request rejection of each type of resources is present. Sensitivity analysis of our model is also shown for managerial insights. \u00a9 2018 IEEE.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('269','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_269\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85061768426&amp;doi=10.1109%2fIEEM.2018.8607490&amp;partnerID=40&amp;md5=fe970afe131699b980872dc984321749\" title=\"https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85061768426&amp;doi=10.1109%[...]\" target=\"_blank\">https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85061768426&amp;doi=10.1109%[&#8230;]<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/IEEM.2018.8607490\" title=\"Follow DOI:10.1109\/IEEM.2018.8607490\" target=\"_blank\">doi:10.1109\/IEEM.2018.8607490<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('269','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><\/div><\/div><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-3df2e2b e-flex e-con-boxed e-con e-parent\" data-id=\"3df2e2b\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>7th Floor of Engineering 4 Bldg., Room 711 amonsiri.v@chula.ac.th Education Ph.D. (Industrial Engineering)University of Wisconsin-Madison, United States, 2016 MS.C. (Industrial [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-5684","page","type-page","status-publish","hentry"],"lang":"th","translations":{"th":5684,"en":5679},"pll_sync_post":[],"rttpg_featured_image_url":null,"rttpg_author":{"display_name":"superadmin","author_link":"https:\/\/ienext.eng.chula.ac.th\/?author=1"},"rttpg_comment":0,"rttpg_category":" <a href=\"https:\/\/ienext.eng.chula.ac.th\/\" rel=\"tag\">\u0e44\u0e17\u0e22<\/a>","rttpg_excerpt":"7th Floor of Engineering 4 Bldg., Room 711 amonsiri.v@chula.ac.th Education Ph.D. (Industrial Engineering)University of Wisconsin-Madison, United States, 2016 MS.C. (Industrial [&hellip;]","_links":{"self":[{"href":"https:\/\/ienext.eng.chula.ac.th\/index.php?rest_route=\/wp\/v2\/pages\/5684","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ienext.eng.chula.ac.th\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ienext.eng.chula.ac.th\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ienext.eng.chula.ac.th\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ienext.eng.chula.ac.th\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5684"}],"version-history":[{"count":4,"href":"https:\/\/ienext.eng.chula.ac.th\/index.php?rest_route=\/wp\/v2\/pages\/5684\/revisions"}],"predecessor-version":[{"id":5689,"href":"https:\/\/ienext.eng.chula.ac.th\/index.php?rest_route=\/wp\/v2\/pages\/5684\/revisions\/5689"}],"wp:attachment":[{"href":"https:\/\/ienext.eng.chula.ac.th\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5684"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}