{"version":"1.0","provider_name":"Argon &amp; Co","provider_url":"https:\/\/www.argonandco.com\/en\/","author_name":"admin@twk","author_url":"https:\/\/www.argonandco.com\/en\/author\/admintwk\/","title":"Optimising output with minimal capex (Stable Ops&#x2122;) - Argon &amp; Co","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"eGnsFPXLHr\"><a href=\"https:\/\/www.argonandco.com\/en\/services\/operational-performance\/optimising-output-with-minimal-capex-stable-ops\/\">Optimising output with minimal capex (Stable Ops&#x2122;)<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.argonandco.com\/en\/services\/operational-performance\/optimising-output-with-minimal-capex-stable-ops\/embed\/#?secret=eGnsFPXLHr\" width=\"600\" height=\"338\" title=\"&#8220;Optimising output with minimal capex (Stable Ops&#x2122;)&#8221; &#8212; Argon &amp; Co\" data-secret=\"eGnsFPXLHr\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!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);\n\/\/# sourceURL=https:\/\/www.argonandco.com\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","description":"Introduction and challenges The need to maximise asset utilisation and optimise productivity are pre-requisites for sustained profitability for any manufacturing organisation. Production processes are typically very complex and are subject to significant variation of input from people, assets, materials, and technologies. Interrelationships between inputs are rarely fully understood and are infrequently controlled to the extent [&hellip;]"}