1.0SCNODE.COMhttps://scnode.comPietro Negrihttps://scnode.com/index.php/author/pietronegri/rich600338<blockquote class="wp-embedded-content" data-secret="iCsTVRePpz"><a href="https://scnode.com/index.php/humanitarian-supply-chain/">Humanitarian Supply Chain</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://scnode.com/index.php/humanitarian-supply-chain/embed/#?secret=iCsTVRePpz" width="600" height="338" title="“Humanitarian Supply Chain” — SCNODE.COM" data-secret="iCsTVRePpz" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://scnode.com/wp-includes/js/wp-embed.min.js </script> https://scnode.com/wp-content/uploads/2024/02/cover-HSC-2.png760460Resilient Humanitarian Supply Chain: A Simulation Study of COVID-19 Vaccine Logistics in Kenya ABSTRACT The paper presents a case study employing simulation modeling to analyze and improve a Humanitarian Supply Chain (HSC) dealing with the distribution system of the Pfizer-BioNTech COVID-19 vaccine in Kenya. The study explores the existing distribution network (As Is model) and proposes two alternative configurations (To Be models) based on global health organizations’ guidelines. The simulation utilizes actual data from Kenya’s COVID-19 vaccination campaign and the national vaccine distribution network. The context of the study is Kenya, a low-middle income country in East Africa, divided into 47 counties. The As Is model reflects the current vaccine distribution structure, involving vaccine production factories, a national depot in Kitengela, regional depots, and hospitals. To Be scenarios consider variations in the number and positioning of central depots, focusing on proximity or centralization. The simulation assesses key performance indicators, including demand coverage, flexibility of depots, fleet utilization, and fulfillment time. The study aims to enhance the efficiency and effectiveness of the humanitarian supply chain, emphasizing fair and rapid vaccine access. The To Be 2 scenario, featuring a centralized distribution with increased transport strength, outperforms others, achieving a higher service level (99.7%) and reducing vaccine inventory in the network. This is facilitated by innovations such as aerial drones for remote deliveries, which prove effective in mitigating uncertainties in transport times. Results highlight the sensitivity of the As Is and To Be 1 scenarios to variations in system parameters, emphasizing the need for a robust supply chain configuration. The study underscores the importance of simulation models in testing proposed improvements, complementing analytical optimization methods. The research contributes to the exploration of alternative distribution network designs in humanitarian contexts and underscores the necessity for further modeling and analysis to enhance the resilience and efficiency of vaccine distribution systems Download the full paper Abilita JavaScript nel browser per completare questo modulo.Abilita JavaScript nel browser per completare questo modulo.Full name *Email * Download about the authors Pietro Negri Supply chain consultant BROWSE THROUGH OUR PAPER HISTORY DIGITAL TWIN Leveraging dynamic production policies: a Textile Digital Twin sustainable supply chain Greening the Chain Humanitarian Supply Chain COVID-19 Vaccine Logistics in Kenya Prescriptive maintenance Prescriptive maintenance from mirage to reality: an energy business case Vaccine Supply chain How to manage global cold chains Process design How to build a resilient warehouse MPS with Simulation Enhancing Master Production Schedule with Simulation More papers coming soon…