{"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>\n

In supply chain management, the term “distribution-free” 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

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

Our tip:<\/strong><\/p>\n

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

For sporadic items and spare parts, you should always use non-distribution methods, at least for the safety stock calculation.<\/p>\n

Picture: \u00a9Manuel Pfeiffer\/aboutpixel<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

In supply chain management, the term “distribution-free” 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":[],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t