{"id":38729,"date":"2026-04-07T17:08:55","date_gmt":"2026-04-07T16:08:55","guid":{"rendered":"https:\/\/www.argonandco.com\/?page_id=38729"},"modified":"2026-05-05T15:06:02","modified_gmt":"2026-05-05T14:06:02","slug":"distribution-planning","status":"publish","type":"page","link":"https:\/\/www.argonandco.com\/us\/services\/supply-chain-planning\/distribution-planning\/","title":{"rendered":"Distribution planning"},"content":{"rendered":"<h2><b>Introduction and challenges<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">In a multi-level logistics network (factory and central inventories, zones or regional inventories, or even inventory in points of sale), positioning the right products at the right time and in the right quantity over time is essential to optimize theoretically conflicting objectives: cost, inventory and service.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The distribution planning process contributes primarily to the achievement of these objectives, being at the heart of the processes of an integrated supply chain. It is based on different methods depending on the need: DRP (distribution requirement planning) to synchronize the supply chain when forecasts have a good level of quality and stability. On the contrary, DDMRP (demand-driven materials requirement planning) is used to simplify supply chain management whilst preventing the industrial upstream from the bullwhip effects, well known in B2B.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Implementing such a process makes it possible to eliminate several internal causes of dysfunction (lack of integration between the participants in the value chain, inappropriate use of supply parameters, etc.) while limiting the effects of external hazards, taking into account fluctuations in demand and supplier reliability in the design of security, deadlines, stocks and buffers.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The structuring and the hierarchical\/functional reporting of the organization in charge of the distribution planning process can be a complex issue to address. Finally, successful deployment of inventory relies on a good understanding of customer needs at the local level, on good stock-parameter dimensioning rules, and on rules and tools to help spread needs across the network.<\/span><\/p>\n<h2><b>How we can help<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">We support our clients in:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Identifying the issues related to current dysfunctions and estimating the costs of changing organizations and tools (&#8220;business case&#8221;)<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The redesign of processes in line with best practice, adapted to the specificities of the company (products, customers) and suiting its supply chain model<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Clarification of the target organization in terms of skills, size, roles, responsibilities and structure (central vs. local, by product line\/plant or by market)<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Integration of the &#8220;distribution planning&#8221; process into all other processes (demand planning, S&amp;OP, MPS) in line with the company&#8217;s supply chain model and its supply chain management (synchronized or decoupled)<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The dimensioning of optimal stock parameters (or DDMRP buffer parameters) on each decoupling point (security, anticipation and rotating stocks or buffers, etc.), creating multiple management methods to adapt to various product families, customer types and periods (dynamic management)<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The development of rules to optimize transport constraints and costs<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The choice and implementation of tools to calculate stock replenishment needs and deployment optimization. This process is generally part of a larger project based on an APS or DDMRP software<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The deployment of the improvement plan (training, model configuration, etc.) and change management (evolution of culture, behaviors, skills, communication, etc.)<\/span><\/li>\n<\/ul>\n<div id=\"gtx-trans\" style=\"position: absolute; left: 383px; top: 729.375px;\">\n<div class=\"gtx-trans-icon\"><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Introduction and challenges In a multi-level logistics network (factory and central inventories, zones or regional inventories, or even inventory in points of sale), positioning the right products at the right time and in the right quantity over time is essential to optimize theoretically conflicting objectives: cost, inventory and service.\u00a0 The distribution planning process contributes primarily [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":37625,"menu_order":8,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-38729","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Distribution planning - Argon &amp; 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