[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-348686-105":3,"detail-sidebar-cat-1-en-105":81,"doc-detail-348686-en":126},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","demand-planning-for-manufacturing","Demand Planning for Manufacturing","","Demand Planning for Manufacturing explains how modern manufacturers manage longer, uncertain supplier lead times and customer expectations for immediate availability. It describes a unified, daily planning and execution process in Microsoft Dynamics NAV that compares finished-goods forecasts with time-phased expected inventory to generate production orders. The solution highlights drill-down forecast views, best-fit forecasting, improved historical data methods, vendor and customer collaborative forecasts, and forecast rollups with traceable adjustments and promotions.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/template/","Template",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/template/presentations/","Presentations",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/template/demand-planning-for-manufacturing/348686/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/demand-planning-for-manufacturing/348686.png","ImageObject",442,249,{"name":42,"@type":43},"Aria","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-27","2026-09-22",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",15,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"Why is demand planning more difficult for manufacturers today?","Question",{"text":63,"@type":64},"Many components and raw materials are imported, creating longer and more uncertain lead times. Customers still expect immediate availability, which can force over-purchasing components and over-producing finished goods.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How does Demand Planning work inside Microsoft Dynamics NAV?",{"text":68,"@type":64},"It incorporates forecasting functions into a single system and uses drill-down capabilities to show forecast input details and calculations. The forecast is compared to time-phased expected inventory to predict expected inventory levels in the future.",{"name":70,"@type":61,"acceptedAnswer":71},"What methods does Demand Planning use to improve forecast accuracy?",{"text":72,"@type":64},"It supports filtered usage, flags one-time and unusual sales for review, smooths irregular usage, redirects usage from discontinued items to new items, and clones historical usage to forecast new items without waiting.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},348686,1791199973,{"code":4,"msg":82,"data":83},"success",[84,88,93,98,102,107,112,117,122],{"id":85,"doc_module":22,"doc_module_name":25,"category_name":29,"show_sort_weight":86,"slug":87},11,90,"presentations",{"id":89,"doc_module":22,"doc_module_name":25,"category_name":90,"show_sort_weight":91,"slug":92},12,"Resumes",80,"resumes",{"id":94,"doc_module":22,"doc_module_name":25,"category_name":95,"show_sort_weight":96,"slug":97},14,"Invoices",70,"invoices",{"id":55,"doc_module":22,"doc_module_name":25,"category_name":99,"show_sort_weight":100,"slug":101},"Posters",60,"posters",{"id":103,"doc_module":22,"doc_module_name":25,"category_name":104,"show_sort_weight":105,"slug":106},16,"Social Media",50,"social-media",{"id":108,"doc_module":22,"doc_module_name":25,"category_name":109,"show_sort_weight":110,"slug":111},17,"Forms",40,"forms",{"id":113,"doc_module":22,"doc_module_name":25,"category_name":114,"show_sort_weight":115,"slug":116},18,"Letters",30,"letters",{"id":118,"doc_module":22,"doc_module_name":25,"category_name":119,"show_sort_weight":120,"slug":121},21,"Paper Templates",5,"papers-templates",{"id":123,"doc_module":22,"doc_module_name":25,"category_name":124,"show_sort_weight":4,"slug":125},158,"General","general-158",{"code":4,"msg":82,"data":127},{"doc_id":79,"user_id":128,"nickname":42,"user_avatar":129,"doc_module":22,"category_id":85,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":33,"language":135,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":12,"update_tm":139,"read_time":26},2336464648322,"https://ap-avatar.wpscdn.com/avatar/2200025388227c56fec?_k=1778556882303663488","Demand Planning for Manufacturing  \nThere was a time in the manufacturing industry when components and raw materials were available with short lead times. MRP (Material Resource Planning) systems were designed to manage capacity planning and reduce manufacturing costs. The quantity and timeframe of production were often decided based on a business forecast, without much analysis of historical demand for the products being manufactured.  \nToday, because many components and raw materials are imported, lead times are much longer and often much more uncertain. Customers expect immediate availability, leaving the manufacturer caught in the middle, and forced to over-purchase components and over-produce finished goods in order to meet customer demand. This is not an efficient use of cash or resources.  \nThis traditional manufacturer business model is tough. It highlights the need for more timely information, as well as both dynamic and integrated planning, from the phase of sourcing components, through the manufacturing process and the deployment of the finished goods where they are needed in the supply chain.  \nDemand Planning for Manufacturing brings needed relief to manufacturers.  \nBuilt Inside Microsoft® Dynamics™ NAV  \nDemand Planning is built inside Dynamics NAV and takes a unique approach of incorporating vital forecasting functions inside a single system, providing “Total Access to Data”through NAV’s native drill-down capabilities.  \nForecast View  \nThe 12-month forecast is presented with drill-down capabilities to allow the user to view the details of the forecast input, as well as the calculations used. In addition, the forecast is compared to the time-phased expected inventory and then utilized to predict the expected inventory level at any point in the future.  \nIntegrated Planning & Execution for Your Supply Chain  \nDemand Planning drives a single process that is run on a daily basis for a user-defined timeframe, usually 6-months or more. Since time-phased expected inventory changes on a daily basis, the result is a constantly up-to-date production plan, providing Demand Planning replenishment time-phased information for scheduling component purchases.  \nIntegrated Planning & Execution for Your Supply Chain (Continued)  \nDemand Planning production compares the finished goods forecast to time-phased expected inventory to determine the quantity and timeframe in which products should be produced. A set of user-defined increments are then used to create simulated production orders to drive demand for component or intermediate production items.  \nAlthough this process can change the production plan on a daily basis, the user can lock in the plan in the near term to create astable environment for capacity planning.  \nBest-Fit Forecasting  \nDemand Planning forecasting uses a best-fit formula approach to ensure that the very best formula is automatically assigned to each item in each warehouse. The result is an extremely accurate 12-to 15-month forecast of your finished goods.  \nForecast Input  \nAny forecasting tool is only as good as the accuracy of the historical data used to derive its forecast. Demand Planning provides several ways to improve the accuracy of historical data:  \n• Filtered Usage – Only sales that are expected toreoccur should be considered as historical input for the forecast.  \n• One-time sales can be flagged by the customer service person and excluded from usage.  \n• Unusual usage is flagged by the system to provide the user a means of reviewing and adjusting abnormalities.  \n• Smoothed Usage – Irregular usage can be automatically smoothed to improve usage patterns.  \n• Redirected Usage – Usage history from discontinued items can be reassigned to new items.  \n• Cloning – A percentage of historical usage can be cloned from an existing item to a new item. This allows you to forecast new items without waiting for historical usage to accumulate.  \n• Collaborative Input – Input from large customers who will sha","cbCaiamppF3mgfal","https://ap.wps.com/l/cbCaiamppF3mgfal","pdf",819301,"English","# Overview\n## Built Inside Microsoft Dynamics NAV\n## Forecast View\n# Integrated Planning & Execution\n## Production vs. Time-Phased Inventory\n## Locking the Near-Term Plan\n# Best-Fit Forecasting and Forecast Input\n## Filtered, Smoothed, Redirected, and Cloned Usage\n## Collaborative Input\n# Vendor Collaboration and Collaborative Forecast\n# The Total Forecast and Forecast Summary\n## Adjustments and Promotions","[{\"question\":\"Why is demand planning more difficult for manufacturers today?\",\"answer\":\"Many components and raw materials are imported, creating longer and more uncertain lead times. Customers still expect immediate availability, which can force over-purchasing components and over-producing finished goods.\"},{\"question\":\"How does Demand Planning work inside Microsoft Dynamics NAV?\",\"answer\":\"It incorporates forecasting functions into a single system and uses drill-down capabilities to show forecast input details and calculations. The forecast is compared to time-phased expected inventory to predict expected inventory levels in the future.\"},{\"question\":\"What methods does Demand Planning use to improve forecast accuracy?\",\"answer\":\"It supports filtered usage, flags one-time and unusual sales for review, smooths irregular usage, redirects usage from discontinued items to new items, and clones historical usage to forecast new items without waiting.\"}]","Demand Planning for Manufacturing | PDF",1790076918]