{"id":2080,"date":"2020-04-03T12:27:44","date_gmt":"2020-04-03T11:27:44","guid":{"rendered":"https:\/\/research.kent.ac.uk\/clho\/?p=2080"},"modified":"2023-10-04T17:18:39","modified_gmt":"2023-10-04T16:18:39","slug":"crest-or-improving-community-resilience-and-sustainability","status":"publish","type":"post","link":"https:\/\/research.kent.ac.uk\/celsa\/crest-or-improving-community-resilience-and-sustainability\/","title":{"rendered":"CREST-OR: Improving Community Resilience and Sustainability"},"content":{"rendered":"<p><span data-contrast=\"auto\"><a href=\"https:\/\/research.kent.ac.uk\/crest-or\/\">CREST-OR<\/a>\u00a0is supported by the British Engineering and Physical Sciences Research Council (EPSRC), with funding from the Global Challenges Research Fund (GCRF), to build capacity for research among Operational Research (OR) academics and practitioners in Southeast Asia.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:10,&quot;335551620&quot;:10,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">OR is the discipline of applying advanced quantitative and analytical methods to enhance organisational performance through more effective planning and operational decision-making. The discipline originated in the UK during World War\u00a0II\u00a0and has since developed into a core field of expertise for business planning. In advanced\u00a0economies OR\u00a0is applied to optimise the efficiency of manufacturing and production, ground, rail, air and sea transport, food supply chains, and healthcare systems, among others.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:10,&quot;335551620&quot;:10,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Industries and organisations which utilise OR techniques gain a competitive advantage over those that do not. OR has also been identified as a valuable tool for supporting sustainable international development, but thus far has received insufficient attention or investment apart from possibly in the field of public health. The transfer of OR knowledge and skills to Cambodia, Indonesia, Laos,\u00a0Myanmar\u00a0and Vietnam has been minimal and unsystematic.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:10,&quot;335551620&quot;:10,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The primary beneficiaries of CREST-OR are academic institutions in these five Southeast Asian countries who develop new knowledge and skills to use OR.\u00a0 The project\u2019s three key academic institutions in the UK \u2013 the Universities of Kent,\u00a0Lancaster\u00a0and Southampton \u2013 also benefit from the project by increasing their understanding of how OR techniques can be developed for application to emerging challenges in new contexts across the world. The project builds capacity in the use of OR for solving challenges in four focal areas: disaster management, food security, resilient transport infrastructure and smart cities. These areas were identified based on existing collaborations between the participating institutions, and on the development priorities of the five Southeast Asian nations.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:10,&quot;335551620&quot;:10,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The long-term vision for CREST-OR is to develop a vibrant, independent, and resilient OR community in Southeast Asia, which also extends to neighbouring countries not currently included in the CREST-OR project.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:10,&quot;335551620&quot;:10,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/www.kent.ac.uk\/kent-business-school\/people\/895\/scaparra-maria-paola\"><span data-contrast=\"none\">Professor Maria Paola Scaparra<\/span><\/a><span data-contrast=\"auto\">\u00a0from the\u00a0<\/span><a href=\"https:\/\/research.kent.ac.uk\/celsa\/\"><span data-contrast=\"none\">CeLSA<\/span><\/a><span data-contrast=\"auto\">\u00a0is the\u00a0Principle\u00a0Investigator of the project.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/research.kent.ac.uk\/celsa\/projects-and-impact\/\">Back to Projects and Impact<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>CREST-OR\u00a0is supported by the British Engineering and Physical Sciences Research Council (EPSRC), with funding from the Global Challenges Research Fund (GCRF), to build capacity for research among Operational Research (OR) academics and practitioners in Southeast Asia.\u00a0 OR is the discipline of applying advanced quantitative and analytical methods to enhance organisational performance through more effective planning [&hellip;]<\/p>\n","protected":false},"author":1874,"featured_media":1497,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2080","post","type-post","status-publish","format-standard","hentry","category-uncategorised"],"acf":[],"_links":{"self":[{"href":"https:\/\/research.kent.ac.uk\/celsa\/wp-json\/wp\/v2\/posts\/2080","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.kent.ac.uk\/celsa\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.kent.ac.uk\/celsa\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.kent.ac.uk\/celsa\/wp-json\/wp\/v2\/users\/1874"}],"replies":[{"embeddable":true,"href":"https:\/\/research.kent.ac.uk\/celsa\/wp-json\/wp\/v2\/comments?post=2080"}],"version-history":[{"count":2,"href":"https:\/\/research.kent.ac.uk\/celsa\/wp-json\/wp\/v2\/posts\/2080\/revisions"}],"predecessor-version":[{"id":2239,"href":"https:\/\/research.kent.ac.uk\/celsa\/wp-json\/wp\/v2\/posts\/2080\/revisions\/2239"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.kent.ac.uk\/celsa\/wp-json\/wp\/v2\/media\/1497"}],"wp:attachment":[{"href":"https:\/\/research.kent.ac.uk\/celsa\/wp-json\/wp\/v2\/media?parent=2080"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.kent.ac.uk\/celsa\/wp-json\/wp\/v2\/categories?post=2080"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.kent.ac.uk\/celsa\/wp-json\/wp\/v2\/tags?post=2080"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}