{"id":5559,"date":"2024-02-28T15:34:25","date_gmt":"2024-02-28T15:34:25","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/?page_id=5559"},"modified":"2024-02-28T15:34:25","modified_gmt":"2024-02-28T15:34:25","slug":"braulio-brunaud","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/speakers\/braulio-brunaud\/","title":{"rendered":"Braulio Brunaud"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-5559\" data-postid=\"5559\" class=\"themify_builder_content themify_builder_content-5559 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row dropPadding-bottom tb_0l52602 tb_first tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_0ygc603 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_esex603 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/02\/Braulio_Brunaud.jpg\" class=\"wp-post-image wp-image-5530\" title=\"Braulio Brunaud\" alt=\"Braulio Brunaud\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/02\/Braulio_Brunaud.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/02\/Braulio_Brunaud-150x150.jpg 150w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <div class=\"image-content\">\n                    <h3 class=\"image-title\">\n                                    Braulio Brunaud                            <\/h3>\n                    <\/div>\n    <!-- \/image-content -->\n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_g2w3604 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_t7c7604   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h1>Braulio Brunaud<\/h1>\n<h5>Sr Data Science Manager at Johnson &amp; Johnson<\/h5>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module accordion -->\n<div  class=\"module module-accordion tb_2plz358 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    \n    <ul class=\"ui module-accordion  glossy tb_default_color\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-2plz358-0\" class=\"tb_title_accordion\" aria-controls=\"acc-2plz358-0-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">Bio<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-2plz358-0-content\" data-id=\"acc-2plz358-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                                    <div class=\"tb_text_wrap\">\n                        <p>Dr. Braulio Brunaud is a Sr Data Science Manager at the Supply Chain Digital &amp; Data Science team of Johnson &amp; Johnson. Over the last 5 years, he was developed operations research models and applications to make strategic and tactical operational decisions for all J&amp;J Businesses. His work on strategic capacity expansion for medical manufacturing, and allocation of assets for orthopedic surgeries has provided more than 40MM in benefits. Dr. Brunaud obtained his PhD from the Chemical Engineering department at Carnegie Mellon University, working under Prof. Ignacio Grossmann. His thesis on multilevel supply chain optimization is a formidable contribution to the process systems engineering field.The model starts with a Monte Carlo simulation of demand to understand uncertainty, followed by a representative sampling procedure, before optimizing each sample with a Mixed-integer programming model. Non-anticipativity constraints are added to obtain a 2-stage stochastic model.<\/p>                    <\/div>\n                            <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-css_id=\"u6fe602\" data-lazy=\"1\" class=\"module_row themify_builder_row fullwidth_row_container tb_u6fe602 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_1 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col-full tb_84q1605 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_k572608 track  \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h6>Track: Supply Chain Analytics<\/h6>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module text -->\n<div  class=\"module module-text tb_xwmz608   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>A Gentle Path Towards Stochastic Optimization for Strategic Capacity Management in the Medical Devices Industry<\/h2>\n<p>Stochastic Optimization has been identified as one the most relevant techniques to achieve resilient strategic decisions. However, its implementation in practice results too complex, with challenges in describing uncertainty and explaining the optimization outcomes. In this work we describe the path towards the adoption of optimization under uncertainty for medical devices supply chain from uncertainty description and scenario analysis to stochastic optimization, to ensure adoption by decision-makers.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Braulio Brunaud Sr Data Science Manager at Johnson &amp; Johnson<\/p>\n","protected":false},"author":1001140,"featured_media":0,"parent":712,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-5559","page","type-page","status-publish","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.0 (Yoast SEO v26.0) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Braulio Brunaud - 2024 INFORMS Analytics Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/speakers\/braulio-brunaud\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Braulio Brunaud\" \/>\n<meta property=\"og:description\" content=\"Braulio Brunaud Sr Data Science Manager at Johnson &amp; 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Johnson<\/h5>\n<ul><li><h4>Bio<\/h4><p>Dr. Braulio Brunaud is a Sr Data Science Manager at the Supply Chain Digital &amp; Data Science team of Johnson &amp; Johnson. Over the last 5 years, he was developed operations research models and applications to make strategic and tactical operational decisions for all J&amp;J Businesses. His work on strategic capacity expansion for medical manufacturing, and allocation of assets for orthopedic surgeries has provided more than 40MM in benefits. Dr. Brunaud obtained his PhD from the Chemical Engineering department at Carnegie Mellon University, working under Prof. Ignacio Grossmann. His thesis on multilevel supply chain optimization is a formidable contribution to the process systems engineering field.The model starts with a Monte Carlo simulation of demand to understand uncertainty, followed by a representative sampling procedure, before optimizing each sample with a Mixed-integer programming model. Non-anticipativity constraints are added to obtain a 2-stage stochastic model.<\/p><\/li><\/ul>\n<h6>Track: Supply Chain Analytics<\/h6>\n<h2>A Gentle Path Towards Stochastic Optimization for Strategic Capacity Management in the Medical Devices Industry<\/h2> <p>Stochastic Optimization has been identified as one the most relevant techniques to achieve resilient strategic decisions. However, its implementation in practice results too complex, with challenges in describing uncertainty and explaining the optimization outcomes. In this work we describe the path towards the adoption of optimization under uncertainty for medical devices supply chain from uncertainty description and scenario analysis to stochastic optimization, to ensure adoption by decision-makers.<\/p>","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/5559","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/users\/1001140"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/comments?post=5559"}],"version-history":[{"count":3,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/5559\/revisions"}],"predecessor-version":[{"id":5562,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/5559\/revisions\/5562"}],"up":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/712"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/media?parent=5559"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}