{"id":17671,"date":"2021-03-09T10:00:48","date_gmt":"2021-03-09T09:00:48","guid":{"rendered":"https:\/\/ak-online.de\/de\/?p=17671"},"modified":"2025-02-10T14:07:49","modified_gmt":"2025-02-10T13:07:49","slug":"short-and-sweet-distribution-free-methods","status":"publish","type":"post","link":"https:\/\/www.ak-online.de\/en\/short-and-sweet-distribution-free-methods\/","title":{"rendered":"In a nutshell: Distribution-free processes"},"content":{"rendered":"<div class=\"mceTemp\"><\/div>\n<p>In supply chain management, the term &#8220;distribution-free&#8221; methods typically refers to special forecasting and, above all, safety stock methods that enable reliable statements to be made even if the prerequisite of a normal distribution of demand for items does not exist.<\/p>\n<p>All classic methods for determining forecasts or safety stocks assume that the frequency distribution of demand quantities for an item follows a Gaussian normal distribution. In practice, this is not the case for 80% to 90% of articles. The more sporadically an item is requested, the greater the probability that there is no normal distribution. In this case, distribution-free methods are a key lever for achieving reliable forecast values and safety stocks.<\/p>\n<p><strong>Our tip:<\/strong><\/p>\n<p>You can pragmatically recognize whether the demand for an item deviates from the normal distribution by comparing the mean value of a demand time series with its median. If the median and mean value diverge, demand is definitely not normally distributed.<\/p>\n<p>For sporadic items and spare parts, you should always use non-distribution methods, at least for the safety stock calculation.<\/p>\n<p><span style=\"color: #808080;\"><em>Picture: \u00a9Manuel Pfeiffer\/aboutpixel<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In supply chain management, the term &#8220;distribution-free&#8221; methods typically refers to special forecasting and, above all, safety stock methods that enable reliable statements to be made even if the prerequisite of a normal distribution of demand for items does not exist.<\/p>\n","protected":false},"author":25,"featured_media":30233,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1721,1731,1758],"tags":[],"class_list":["post-17671","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-planning-disposition","category-sales-demand-forecast","category-scm-glossary"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.ak-online.de\/en\/wp-json\/wp\/v2\/posts\/17671","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ak-online.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ak-online.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ak-online.de\/en\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ak-online.de\/en\/wp-json\/wp\/v2\/comments?post=17671"}],"version-history":[{"count":0,"href":"https:\/\/www.ak-online.de\/en\/wp-json\/wp\/v2\/posts\/17671\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ak-online.de\/en\/wp-json\/wp\/v2\/media\/30233"}],"wp:attachment":[{"href":"https:\/\/www.ak-online.de\/en\/wp-json\/wp\/v2\/media?parent=17671"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ak-online.de\/en\/wp-json\/wp\/v2\/categories?post=17671"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ak-online.de\/en\/wp-json\/wp\/v2\/tags?post=17671"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}