{"id":12105,"date":"2024-01-09T11:00:02","date_gmt":"2024-01-09T15:00:02","guid":{"rendered":"https:\/\/smartcorp.com\/inventory-optimization\/using-key-performance-predictions-to-plan-stocking-policies-copy\/"},"modified":"2024-04-08T09:12:42","modified_gmt":"2024-04-08T13:12:42","slug":"waarom-voorraadplanning-niet-uitsluitend-op-eenvoudige-vuistregels-zou-moeten-vertrouwen","status":"publish","type":"post","link":"https:\/\/smartcorp.com\/nl\/blog\/why-inventory-planning-should-not-rely-exclusively-on-simple-rules-of-thumb\/","title":{"rendered":"Waarom voorraadplanning niet uitsluitend op eenvoudige vuistregels mag vertrouwen"},"content":{"rendered":"

[et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” custom_margin=”0px||||false|false” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_row admin_label=”Row” module_class=”blog_glob” _builder_version=”4.16″ locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ saved_specialty_column_type=”2_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text content_last_edited=”off|desktop” admin_label=”CONTENT” module_class=”post-main_text” _builder_version=”4.23.1″ header_3_text_color=”#0c71c3″ header_3_font_size=”19px” background_size=”initial” background_position=”top_left” background_repeat=”repeat” z_index_tablet=”500″ text_text_shadow_horizontal_length_tablet=”0px” text_text_shadow_vertical_length_tablet=”0px” text_text_shadow_blur_strength_tablet=”1px” link_text_shadow_horizontal_length_tablet=”0px” link_text_shadow_vertical_length_tablet=”0px” link_text_shadow_blur_strength_tablet=”1px” ul_text_shadow_horizontal_length_tablet=”0px” ul_text_shadow_vertical_length_tablet=”0px” ul_text_shadow_blur_strength_tablet=”1px” ol_text_shadow_horizontal_length_tablet=”0px” ol_text_shadow_vertical_length_tablet=”0px” ol_text_shadow_blur_strength_tablet=”1px” quote_text_shadow_horizontal_length_tablet=”0px” quote_text_shadow_vertical_length_tablet=”0px” quote_text_shadow_blur_strength_tablet=”1px” header_text_shadow_horizontal_length_tablet=”0px” header_text_shadow_vertical_length_tablet=”0px” header_text_shadow_blur_strength_tablet=”1px” header_2_text_shadow_horizontal_length_tablet=”0px” header_2_text_shadow_vertical_length_tablet=”0px” header_2_text_shadow_blur_strength_tablet=”1px” header_3_text_shadow_horizontal_length_tablet=”0px” header_3_text_shadow_vertical_length_tablet=”0px” header_3_text_shadow_blur_strength_tablet=”1px” header_4_text_shadow_horizontal_length_tablet=”0px” header_4_text_shadow_vertical_length_tablet=”0px” header_4_text_shadow_blur_strength_tablet=”1px” header_5_text_shadow_horizontal_length_tablet=”0px” header_5_text_shadow_vertical_length_tablet=”0px” header_5_text_shadow_blur_strength_tablet=”1px” header_6_text_shadow_horizontal_length_tablet=”0px” header_6_text_shadow_vertical_length_tablet=”0px” header_6_text_shadow_blur_strength_tablet=”1px” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” use_border_color=”off” global_colors_info=”{}”]<\/p>\n

For too many companies, a critical piece of data fact-finding \u2015 the measurement of demand uncertainty \u2015 is handled by simple but inaccurate rules of thumb.\u00a0 For example, demand planners will often compute safety stock by a user-defined multiple of the forecast or historical average.\u00a0 Or they may configure their ERP to order more when on hand inventory gets to 2 x the average demand over the lead time for important items and 1.5 x for less important ones. This is a huge mistake with costly consequences.<\/p>\n

The choice of multiple ends up being a guessing game.\u00a0 This is because no human being can compute exactly how much inventory to stock considering all the uncertainties.\u00a0 Multiples of the average lead time demand are simple to use but you can never know whether the multiple used is too large or too small until it is too late.\u00a0 And once you know, all the information has changed, so you must guess again and then wait and see how the latest guess turns out.\u00a0 With each new day, you have new demand, new details on lead times, and the costs may have changed.\u00a0 Yesterday\u2019s guess, no more matter how educated is no longer relevant today.\u00a0 Proper inventory planning should be void of inventory and forecast guesswork.\u00a0 Decisions must be made with incomplete information but guessing is not the way to go.<\/p>\n

Knowing how much to buffer requires a fact-based statistical analysis that can accurately answer questions such as:<\/p>\n