This article offers a comprehensive guide to Production Planning as a strategic lever for Supply Chain. It starts with the definition of an excellent Supply Chain and the central role of Planning, then explores production strategies (ETO, MTO, ATO, MTS) and the impact of production layout. The planning hierarchy-from S&OP to Master Scheduling, MRP to Capacity Planning-is explained, with insights into Demand Planning, material policies, and capacity sizing. The course concludes with concrete results achievable from an integrated system and guidance on how to initiate change in your own reality.<\/p>\n\n\n\n
<\/p>\n\n\n\n
Integrating strategy, demand, capacity and materials for a truly excellent Supply Chain<\/strong><\/h2>\n\n\n\nIn an industrial scenario marked by volatility, ever-shorter life cycles and increasing cost pressure, production planning is no longer a simple operational process. It has become a strategic lever. Its ability to orchestrate demand, resources, materials and production capacity in an integrated way enables companies to ensure continuity, service level, margins and sustainable growth.<\/p>\n\n\n\n
An effective Production Planning model does more than just determine what to produce and when: it creates a common language in the company, aligns functions, and defines rules, processes and tools that can make the flow of decision-making clear, stable and measurable.<\/p>\n\n\n\n
This article offers a comprehensive and structured reading of the main pillars of the model<\/strong>: from supply chain definition to production strategies, from Demand Planning to Sales & Operations Planning (S&OP<\/a>), to Master Scheduling, MRP and Capacity Planning logics. A journey that shows how only a true integrated planning system can turn complexity into competitive advantage.<\/p>\n\n\n\n1. What is an \u2018excellent\u2019 Supply Chain today and why is Planning its driver?<\/strong><\/h3>\n\n\n\nThe Supply Chain is the global network of facilities, information, and physical flows that enable the transformation of raw material into a finished product and deliver it to the end customer. The Supply Chain Management<\/a> includes design, planning, execution, and control of all these activities with the goal of creating value, synchronizing supply and demand, reducing variability, and ensuring end-to-end performance.<\/p>\n\n\n\nThe Planning <\/a>sits at the center of this ecosystem because it is the connection point between business strategy and operations. It is here that goals, budgets and business priorities are translated into concrete production, procurement and distribution plans.<\/p>\n\n\n\n<\/p>\n\n\n\n
2. What is the right production strategy to reduce lead time and inventory?<\/strong><\/h3>\n\n\n\nThe first variable to understand in order to build an effective planning system is the production strategy<\/strong> adopted by the company. The four main strategies <\/strong>- Engineer to Order (ETO<\/strong>)<\/a>, Make to Order (MTO<\/strong>), Assembly to Order (ATO<\/strong>) and Make to Stock (MTS<\/strong>) \u2013 profoundly affect downstream processes:<\/strong> from forecasting, to inventory management, to the Master Scheduling<\/strong> and to the\u2019MRP<\/strong>.<\/p>\n\n\n\nThe choice depends on factors such as:<\/p>\n\n\n\n
\n- Customer lead time expectations,<\/li>\n\n\n\n
- Portfolio variety and complexity,<\/li>\n\n\n\n
- production volumes,<\/li>\n\n\n\n
- product life cycle,<\/li>\n\n\n\n
- Degree of customization needed.<\/li>\n<\/ul>\n\n\n\n
In the typical life cycle of a product, ETO and MTO predominate in the launch and growth phases, while ATO and MTS are more common in maturity, when volumes increase and standardization becomes a priority goal.<\/p>\n\n\n\n
Properly defining your strategy (or strategies, if different mixes exist) is essential<\/strong>: each model involves a different decoupling point between forecast and customer order, and thus requires a different organizational setup and planning approach.<\/p>\n\n\n\n<\/p>\n\n\n\n
3. How does production layout affect planning logic?<\/strong><\/h3>\n\n\n\nThe production layout also significantly affects the planning model.<\/p>\n\n\n\n
The main types are:<\/p>\n\n\n\n
\n- Intermittent production<\/strong>, typical of job shops, with high variability, machinery grouped by functionality and long lead times.<\/li>\n\n\n\n
- Cellular manufacturing \/ One Piece Flow<\/strong>, characterized by leaner flows, low WIPs and shorter lead times.<\/li>\n\n\n\n
- Continuous production<\/strong>, typical of process industries, where capacity is rigid and the flow cannot be interrupted.<\/li>\n<\/ul>\n\n\n\n
Each layout requires a specific planning model. For example, in a continuous or process context it will be natural to adopt capacity planning as the first driver, while in contract MTO contexts the priority will be orders and materials.<\/p>\n\n\n\n
<\/p>\n\n\n\n
4. How to structure a planning hierarchy that avoids urgency and chaos?<\/strong><\/h3>\n\n\n\nEffective planning is not a unique process, but a hierarchical system<\/strong> connecting different time horizons and different levels of granularity:<\/p>\n\n\n\n\n- Business & Strategic Planning<\/strong> - long-term goals.<\/li>\n\n\n\n
- S&OP (Sales & Operations Planning)<\/strong> <\/a>- Monthly tactical plan that balances supply and demand.<\/li>\n\n\n\n
- Resource Planning (RP)<\/strong> - Mid-term capacity validation.<\/li>\n\n\n\n
- Master Scheduling (MPS)<\/strong> - Detailed production schedule for individual codes.<\/li>\n\n\n\n
- MRP (Material Requirements Planning)<\/strong> - material needs.<\/li>\n\n\n\n
- CRP (Capacity Requirements Planning)<\/strong> - Short-term capacity validation.<\/li>\n<\/ol>\n\n\n\n
The quality of execution depends on the alignment of all these levels. A weak S&OP, for example, generates downstream instability on MPS, MRP, and scheduling, with heavy impacts on inventory and service level.<\/p>\n\n\n\n
<\/p>\n\n\n\n
5. Demand Planning: how to reduce forecast error and <\/b><\/span>How does it really affect business?<\/strong><\/h3>\n\n\n\nDemand Planning combines statistical and qualitative techniques to construct the expected demand for products or services. Demand can come from:<\/p>\n\n\n\n
\n- statistical predictions,<\/li>\n\n\n\n
- customer orders,<\/li>\n\n\n\n
- restoration orders,<\/li>\n\n\n\n
- interplant transfers.<\/li>\n<\/ul>\n\n\n\n
Typical patterns (trend, seasonality, random variability) affect the choice of forecasting technique and stockpile policies.<\/p>\n\n\n\n
The basic principles are clear:<\/p>\n\n\n\n
\n- no prediction is accurate to 100%;<\/li>\n\n\n\n
- error must be measured and managed;<\/li>\n\n\n\n
- the forecast is more accurate for families than for individual codes;<\/li>\n\n\n\n
- the short horizon is more reliable than the long horizon.<\/li>\n<\/ul>\n\n\n\n
Key indicators include:<\/p>\n\n\n\n
MAD: Mean Absolute Deviation<\/em><\/strong><\/p>\n\n\n\n![\"\"](\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\")
<\/figure>\n\n\n\nThis indicator has the objectives of determining deviations between demand and forecast ,planning around the error and correctly sizing the safety stock and thus improving forecasting techniques<\/p>\n\n\n\n
BIAS: the tendency to deviate from the mean value<\/em><\/strong><\/p>\n\n\n\nMAPE (mean absolute percent error)<\/em><\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nMeasured through monitoring dashboards.<\/p>\n\n\n\n
With<\/p>\n\n\n\n
\n- Ape(m)SKUn = absolute percentage error of the n-th code related to the month under review (m) (%)<\/li>\n\n\n\n
- n= n-th code<\/li>\n\n\n\n
- N=total number of codes<\/li>\n\n\n\n
- m= month under review<\/li>\n<\/ul>\n\n\n\n
The XYZ Classification of Historical Product Demand.<\/strong> (variability) is carried out to assign the class of demand variability to each item. It is based on the calculation of the Coefficient of Variation and the demand density<\/p>\n\n\n\n<\/figure>\n\n\n\n\u03c3 sigma<\/strong>: is the standard deviation of the demand time series<\/p>\n\n\n\n\u00b5 average<\/strong>: is the average demand<\/p>\n\n\n\nABC indicator<\/strong>: is a classification of materials that can be used to filter them in planning transactions to enable smarter management of product portfolio and stock policies.<\/p>\n\n\n\n<\/p>\n\n\n\n
6. S&OP: why without a robust monthly process does production remain reactive?<\/strong><\/h3>\n\n\n\nThe Sales & Operations Planning<\/a> is the process that integrates all business plans--sales, marketing, product development, manufacturing, procurement, and finance--into a single monthly tactical plan. It is the point of contact between strategy and operations.<\/p>\n\n\n\nThe S&OP process involves five steps:<\/p>\n\n\n\n
\n- Data collection<\/strong> On sales, inventory, backlog, capacity.<\/li>\n\n\n\n
- Demand Planning<\/strong> updated.<\/li>\n\n\n\n
- Supply Planning<\/strong> Assessing capabilities, resources, constraints.<\/li>\n\n\n\n
- Pre-S&OP Meeting<\/strong> to solve critical issues and generate scenarios.<\/li>\n\n\n\n
- Executive Meeting<\/strong> For approval and alignment with budget.<\/li>\n<\/ol>\n\n\n\n
The benefits are manifold:<\/p>\n\n\n\n
\n- Better internal coordination,<\/li>\n\n\n\n
- greater visibility,<\/li>\n\n\n\n
- reduction of surprises,<\/li>\n\n\n\n
- Better control of the business,<\/li>\n\n\n\n
- Increased level of service,<\/li>\n\n\n\n
- Inventory and cost reduction.<\/li>\n<\/ul>\n\n\n\n
Without a stable and disciplined S&OP, every subsequent phase of planning becomes reactive, fragmented and inefficient.<\/p>\n\n\n\n
<\/p>\n\n\n\n
7. Resource Planning: validating capacity over the medium term<\/strong><\/h3>\n\n\n\nResource Planning (RP) aims to verify the feasibility of the plan defined by the S&OP over the medium to long term. It uses the Bill of Resources<\/strong>, a simplified bill representing the average allocation needed for a product family.<\/p>\n\n\n\nThe process makes it possible to:<\/p>\n\n\n\n
\n- Anticipate investment or capacity changes,<\/li>\n\n\n\n
- Identify future critical issues,<\/li>\n\n\n\n
- Aligning the Business Plan.<\/li>\n<\/ul>\n\n\n\n
<\/p>\n\n\n\n
8. Master Scheduling: how to switch from family plan to product plan without losing stability?<\/strong><\/h3>\n\n\n\nThe Master Production Schedule (MPS) translates the S&OP plan into a production schedule for individual codes, with precise quantities and dates.<\/p>\n\n\n\n
The goals of the MPS are:<\/p>\n\n\n\n
\n- Show when the finished products will be produced,<\/li>\n\n\n\n
- predict availability to promise (ATP),<\/li>\n\n\n\n
- Support decisions about priorities and availability.<\/li>\n<\/ul>\n\n\n\n
La unbundling<\/strong> of the plan is fundamental and is based on coefficients derived from historical analysis. The structure of the planning changes depending on the strategy:<\/p>\n\n\n\n\n- MTS<\/strong>: MPS follows the forecast,<\/li>\n\n\n\n
- ATO<\/strong>: MPS plans semi-finished products and options,<\/li>\n\n\n\n
- MTO<\/strong>: MPS is driven by customer orders.<\/li>\n<\/ul>\n\n\n\n
ATP is defined as the stock and planned orders not yet used to fulfill customer orders.<\/strong> It does not consider commitments from the forecast but only from confirmed customer orders. It is of 2 types:<\/p>\n\n\n\n\n- discreet<\/li>\n\n\n\n
- comulato<\/li>\n<\/ul>\n\n\n\n
To properly manage promises to the customer, an essential element for reliability and level of service.<\/p>\n\n\n\n
Crucial is the definition of the planning intervals<\/strong> (Planning Time Fence), which stabilize the plan and avoid continuous changes, a major cause of inefficiency and hidden costs.<\/p>\n\n\n\n<\/p>\n\n\n\n
9. MRP, material policies and Capacity Planning: how to align materials and resources with customer priorities?<\/strong><\/h3>\n\n\n\n<\/p>\n\n\n\n
9.1 Material Requirements Planning (MRP): the logic of material requirements.<\/strong><\/h4>\n\n\n\nIt is the engine that, starting from the MPS and Bill of Material (BOM), calculates net requirements, proposing production and purchase orders.<\/p>\n\n\n\n
To function properly, it requires flawless master data:<\/p>\n\n\n\n
\n- MRP type,<\/li>\n\n\n\n
- minimum lot,<\/li>\n\n\n\n
- lead time,<\/li>\n\n\n\n
- rejection percentages,<\/li>\n\n\n\n
- rounding parameters,<\/li>\n\n\n\n
- security escort.<\/li>\n<\/ul>\n\n\n\n
The calculation logic is based on the Low Level Code (LLC),<\/strong> which defines the order in which to explode the BOM. Exceptions (advances, postponements, cancellations) must always be monitored through pegging functionality, which allows the source of requirements to be traced.<\/p>\n\n\n\nWhen faced with an exception or change in the arrival schedule of materials, it is important to trace the source of requirements back to understand the impacts on higher levels.<\/p>\n\n\n\n
An MRP that works on unreliable data generates overstocking, stock-outs, urgencies, plan instability and an overall increase in costs.<\/p>\n\n\n\n
<\/p>\n\n\n\n
9.2 Material management policies and lot sizing<\/strong><\/h4>\n\n\n\nThe choice of procurement policy has crucial impacts on inventory, cost and service level.<\/p>\n\n\n\n
Among the main methods:<\/p>\n\n\n\n
\n- EOQ<\/strong> (Economic Order Quantity),<\/li>\n\n\n\n
- Lot for Lot<\/strong> (L4L),<\/li>\n\n\n\n
- Fixed Order Quantity (FOQ)<\/strong>,<\/li>\n\n\n\n
- Period Order Quantity (POQ)<\/strong>,<\/li>\n\n\n\n
- min-max and reorder point methods,<\/li>\n\n\n\n
- Statistical or hedging security escort.<\/li>\n<\/ul>\n\n\n\n
Each technique has a specific rationale and recommended application depending on variability, code value, order issuance costs, and demand dynamics.<\/p>\n\n\n\n
Even such advanced practices asVMI (Vendor Managed Inventory)<\/strong><\/a> e Consignment Stock<\/a><\/strong> can improve efficiency and reduce operating load, especially for class C or D materials.<\/p>\n\n\n\n<\/p>\n\n\n\n
9.3 Capacity Planning: from the medium to the short term<\/strong><\/h4>\n\n\n\nCapacity planning makes it possible to check whether the material plan is consistent with production resources.<\/p>\n\n\n\n
The Capacity Requirement Planning (CRP<\/a>)<\/strong> Is based on:<\/p>\n\n\n\n\n- Capacity availability (rated or historical),<\/li>\n\n\n\n
- standard times,<\/li>\n\n\n\n
- work cycles,<\/li>\n\n\n\n
- efficiency and utilization,<\/li>\n\n\n\n
- simulated scheduling.<\/li>\n<\/ul>\n\n\n\n
The difference between:<\/p>\n\n\n\n
\n- infinite capacity load<\/strong> (typical of MTO contexts),<\/li>\n\n\n\n
- finite capacity load<\/strong> (typical of process industries)<\/li>\n<\/ul>\n\n\n\n
determines different approaches and different leveling strategies.<\/p>\n\n\n\n
CRP is critical to avoid unmanaged overloads and to ensure delivery reliability. Analyses such as queuing, wait times, and Little's law enforcement (The average number of customers in a system is equal to the average arrival rate multiplied by the average time in the system) <\/em><\/strong>allow us to understand how saturation affects the overall lead time.<\/p>\n\n\n\n<\/p>\n\n\n\n
10. What concrete results can an integrated Planning model generate?<\/strong><\/h3>\n\n\n\nAdopting an integrated planning system leads to tangible and measurable benefits based on our experience:<\/p>\n\n\n\n
\n- Stock reduction to 30-40%;<\/li>\n\n\n\n
- Increase in OTD and OTIF;<\/li>\n\n\n\n
- Reduction of lead times;<\/li>\n\n\n\n
- Increased production efficiency;<\/li>\n\n\n\n
- Increased stability of the plane;<\/li>\n\n\n\n
- Reduction of emergencies and extra costs;<\/li>\n\n\n\n
- Improving cross-functional collaboration.<\/li>\n<\/ul>\n\n\n\n
The key to success <\/strong>not resides <\/strong>only in the techniques - MRP, EOQ, ATP or CRP - but In the consistency of the system<\/strong>, in data quality, process discipline, and the company's ability to work cross-functionally.<\/p>\n\n\n\n<\/p>\n\n\n\n
Conclusions: planning as a strategic lever of competitiveness<\/strong><\/h3>\n\n\n\nIndustrial competition is no longer only about product, quality or price, but about the ability to reliably plan demand, capacity and materials along the entire Supply Chain. An integrated Production Planning model makes it possible to reduce inventory by up to 30-40%, increase OTD\/OTIF, reduce lead times, and improve plan stability and production efficiency, provided that data, processes, and roles are designed consistently.<\/p>\n\n\n\n
For many companies, the first step is not to implement a new tool, but to rethink the architecture of planning processes - From Demand Planning to S&OP, from MPS to Capacity Planning. <\/strong>- end-to-end and data-driven.<\/p>\n\n\n\nIf you want to figure out where to start in your reality, discover our approach to Lean Production Planning & Demand Planning <\/a>and how we integrate digital processes and tools into planning.<\/strong> To elaborate in a practical way, you can evaluate the \u201cEffective Production Planning<\/a>\u201d of the Lean Factory School\u00ae,<\/strong> which brings real-world cases and operational tools to the classroom that can be applied immediately in companiesa robust, integrated and data-driven planning system will be the ones that can meet the challenges of the future.<\/p>\n\n\n\n<\/p>\n\n\n\n
By Bonfiglioli Consulting Editorial Staff<\/strong>
Each publication stems from industry studies, field research and analysis of global trends integrated with knowledge and expertise gained from transformation projects, with the aim of promoting business culture.<\/em><\/h4>\n\n\n\nPublished on 02\/16\/2026<\/h4>\n\n\n\nFAQ<\/strong><\/h2>\n\n\n\n<\/p>\n\n\n\n
Why does my MRP generate continuous urgencies and rescheduling?<\/strong>
<\/h3>\n\n\n\nIncorrect master data (lead time, minimum lots), inaccurate BOM or lack of Planning Time Fence cause continuous exceptions. Result: stock-outs, extra costs and instability. Solution: validate basic parameters, use pegging to track impacts, and monitor MRP dashboard.<\/p>\n\n\n\n
What are the first steps to introduce effective S&OP in my company?<\/strong>
<\/h3>\n\n\n\n
1. What is an \u2018excellent\u2019 Supply Chain today and why is Planning its driver?<\/strong><\/h3>\n\n\n\nThe Supply Chain is the global network of facilities, information, and physical flows that enable the transformation of raw material into a finished product and deliver it to the end customer. The Supply Chain Management<\/a> includes design, planning, execution, and control of all these activities with the goal of creating value, synchronizing supply and demand, reducing variability, and ensuring end-to-end performance.<\/p>\n\n\n\nThe Planning <\/a>sits at the center of this ecosystem because it is the connection point between business strategy and operations. It is here that goals, budgets and business priorities are translated into concrete production, procurement and distribution plans.<\/p>\n\n\n\n<\/p>\n\n\n\n
2. What is the right production strategy to reduce lead time and inventory?<\/strong><\/h3>\n\n\n\nThe first variable to understand in order to build an effective planning system is the production strategy<\/strong> adopted by the company. The four main strategies <\/strong>- Engineer to Order (ETO<\/strong>)<\/a>, Make to Order (MTO<\/strong>), Assembly to Order (ATO<\/strong>) and Make to Stock (MTS<\/strong>) \u2013 profoundly affect downstream processes:<\/strong> from forecasting, to inventory management, to the Master Scheduling<\/strong> and to the\u2019MRP<\/strong>.<\/p>\n\n\n\nThe choice depends on factors such as:<\/p>\n\n\n\n
\n- Customer lead time expectations,<\/li>\n\n\n\n
- Portfolio variety and complexity,<\/li>\n\n\n\n
- production volumes,<\/li>\n\n\n\n
- product life cycle,<\/li>\n\n\n\n
- Degree of customization needed.<\/li>\n<\/ul>\n\n\n\n
In the typical life cycle of a product, ETO and MTO predominate in the launch and growth phases, while ATO and MTS are more common in maturity, when volumes increase and standardization becomes a priority goal.<\/p>\n\n\n\n
Properly defining your strategy (or strategies, if different mixes exist) is essential<\/strong>: each model involves a different decoupling point between forecast and customer order, and thus requires a different organizational setup and planning approach.<\/p>\n\n\n\n<\/p>\n\n\n\n
3. How does production layout affect planning logic?<\/strong><\/h3>\n\n\n\nThe production layout also significantly affects the planning model.<\/p>\n\n\n\n
The main types are:<\/p>\n\n\n\n
\n- Intermittent production<\/strong>, typical of job shops, with high variability, machinery grouped by functionality and long lead times.<\/li>\n\n\n\n
- Cellular manufacturing \/ One Piece Flow<\/strong>, characterized by leaner flows, low WIPs and shorter lead times.<\/li>\n\n\n\n
- Continuous production<\/strong>, typical of process industries, where capacity is rigid and the flow cannot be interrupted.<\/li>\n<\/ul>\n\n\n\n
Each layout requires a specific planning model. For example, in a continuous or process context it will be natural to adopt capacity planning as the first driver, while in contract MTO contexts the priority will be orders and materials.<\/p>\n\n\n\n
<\/p>\n\n\n\n
4. How to structure a planning hierarchy that avoids urgency and chaos?<\/strong><\/h3>\n\n\n\nEffective planning is not a unique process, but a hierarchical system<\/strong> connecting different time horizons and different levels of granularity:<\/p>\n\n\n\n\n- Business & Strategic Planning<\/strong> - long-term goals.<\/li>\n\n\n\n
- S&OP (Sales & Operations Planning)<\/strong> <\/a>- Monthly tactical plan that balances supply and demand.<\/li>\n\n\n\n
- Resource Planning (RP)<\/strong> - Mid-term capacity validation.<\/li>\n\n\n\n
- Master Scheduling (MPS)<\/strong> - Detailed production schedule for individual codes.<\/li>\n\n\n\n
- MRP (Material Requirements Planning)<\/strong> - material needs.<\/li>\n\n\n\n
- CRP (Capacity Requirements Planning)<\/strong> - Short-term capacity validation.<\/li>\n<\/ol>\n\n\n\n
The quality of execution depends on the alignment of all these levels. A weak S&OP, for example, generates downstream instability on MPS, MRP, and scheduling, with heavy impacts on inventory and service level.<\/p>\n\n\n\n
<\/p>\n\n\n\n
5. Demand Planning: how to reduce forecast error and <\/b><\/span>How does it really affect business?<\/strong><\/h3>\n\n\n\nDemand Planning combines statistical and qualitative techniques to construct the expected demand for products or services. Demand can come from:<\/p>\n\n\n\n
\n- statistical predictions,<\/li>\n\n\n\n
- customer orders,<\/li>\n\n\n\n
- restoration orders,<\/li>\n\n\n\n
- interplant transfers.<\/li>\n<\/ul>\n\n\n\n
Typical patterns (trend, seasonality, random variability) affect the choice of forecasting technique and stockpile policies.<\/p>\n\n\n\n
The basic principles are clear:<\/p>\n\n\n\n
\n- no prediction is accurate to 100%;<\/li>\n\n\n\n
- error must be measured and managed;<\/li>\n\n\n\n
- the forecast is more accurate for families than for individual codes;<\/li>\n\n\n\n
- the short horizon is more reliable than the long horizon.<\/li>\n<\/ul>\n\n\n\n
Key indicators include:<\/p>\n\n\n\n
MAD: Mean Absolute Deviation<\/em><\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nThis indicator has the objectives of determining deviations between demand and forecast ,planning around the error and correctly sizing the safety stock and thus improving forecasting techniques<\/p>\n\n\n\n
BIAS: the tendency to deviate from the mean value<\/em><\/strong><\/p>\n\n\n\nMAPE (mean absolute percent error)<\/em><\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nMeasured through monitoring dashboards.<\/p>\n\n\n\n
With<\/p>\n\n\n\n
\n- Ape(m)SKUn = absolute percentage error of the n-th code related to the month under review (m) (%)<\/li>\n\n\n\n
- n= n-th code<\/li>\n\n\n\n
- N=total number of codes<\/li>\n\n\n\n
- m= month under review<\/li>\n<\/ul>\n\n\n\n
The XYZ Classification of Historical Product Demand.<\/strong> (variability) is carried out to assign the class of demand variability to each item. It is based on the calculation of the Coefficient of Variation and the demand density<\/p>\n\n\n\n<\/figure>\n\n\n\n\u03c3 sigma<\/strong>: is the standard deviation of the demand time series<\/p>\n\n\n\n\u00b5 average<\/strong>: is the average demand<\/p>\n\n\n\nABC indicator<\/strong>: is a classification of materials that can be used to filter them in planning transactions to enable smarter management of product portfolio and stock policies.<\/p>\n\n\n\n<\/p>\n\n\n\n
6. S&OP: why without a robust monthly process does production remain reactive?<\/strong><\/h3>\n\n\n\nThe Sales & Operations Planning<\/a> is the process that integrates all business plans--sales, marketing, product development, manufacturing, procurement, and finance--into a single monthly tactical plan. It is the point of contact between strategy and operations.<\/p>\n\n\n\nThe S&OP process involves five steps:<\/p>\n\n\n\n
\n- Data collection<\/strong> On sales, inventory, backlog, capacity.<\/li>\n\n\n\n
- Demand Planning<\/strong> updated.<\/li>\n\n\n\n
- Supply Planning<\/strong> Assessing capabilities, resources, constraints.<\/li>\n\n\n\n
- Pre-S&OP Meeting<\/strong> to solve critical issues and generate scenarios.<\/li>\n\n\n\n
- Executive Meeting<\/strong> For approval and alignment with budget.<\/li>\n<\/ol>\n\n\n\n
The benefits are manifold:<\/p>\n\n\n\n
\n- Better internal coordination,<\/li>\n\n\n\n
- greater visibility,<\/li>\n\n\n\n
- reduction of surprises,<\/li>\n\n\n\n
- Better control of the business,<\/li>\n\n\n\n
- Increased level of service,<\/li>\n\n\n\n
- Inventory and cost reduction.<\/li>\n<\/ul>\n\n\n\n
Without a stable and disciplined S&OP, every subsequent phase of planning becomes reactive, fragmented and inefficient.<\/p>\n\n\n\n
<\/p>\n\n\n\n
7. Resource Planning: validating capacity over the medium term<\/strong><\/h3>\n\n\n\nResource Planning (RP) aims to verify the feasibility of the plan defined by the S&OP over the medium to long term. It uses the Bill of Resources<\/strong>, a simplified bill representing the average allocation needed for a product family.<\/p>\n\n\n\nThe process makes it possible to:<\/p>\n\n\n\n
\n- Anticipate investment or capacity changes,<\/li>\n\n\n\n
- Identify future critical issues,<\/li>\n\n\n\n
- Aligning the Business Plan.<\/li>\n<\/ul>\n\n\n\n
<\/p>\n\n\n\n
8. Master Scheduling: how to switch from family plan to product plan without losing stability?<\/strong><\/h3>\n\n\n\nThe Master Production Schedule (MPS) translates the S&OP plan into a production schedule for individual codes, with precise quantities and dates.<\/p>\n\n\n\n
The goals of the MPS are:<\/p>\n\n\n\n
\n- Show when the finished products will be produced,<\/li>\n\n\n\n
- predict availability to promise (ATP),<\/li>\n\n\n\n
- Support decisions about priorities and availability.<\/li>\n<\/ul>\n\n\n\n
La unbundling<\/strong> of the plan is fundamental and is based on coefficients derived from historical analysis. The structure of the planning changes depending on the strategy:<\/p>\n\n\n\n\n- MTS<\/strong>: MPS follows the forecast,<\/li>\n\n\n\n
- ATO<\/strong>: MPS plans semi-finished products and options,<\/li>\n\n\n\n
- MTO<\/strong>: MPS is driven by customer orders.<\/li>\n<\/ul>\n\n\n\n
ATP is defined as the stock and planned orders not yet used to fulfill customer orders.<\/strong> It does not consider commitments from the forecast but only from confirmed customer orders. It is of 2 types:<\/p>\n\n\n\n\n- discreet<\/li>\n\n\n\n
- comulato<\/li>\n<\/ul>\n\n\n\n
To properly manage promises to the customer, an essential element for reliability and level of service.<\/p>\n\n\n\n
Crucial is the definition of the planning intervals<\/strong> (Planning Time Fence), which stabilize the plan and avoid continuous changes, a major cause of inefficiency and hidden costs.<\/p>\n\n\n\n<\/p>\n\n\n\n
9. MRP, material policies and Capacity Planning: how to align materials and resources with customer priorities?<\/strong><\/h3>\n\n\n\n<\/p>\n\n\n\n
9.1 Material Requirements Planning (MRP): the logic of material requirements.<\/strong><\/h4>\n\n\n\nIt is the engine that, starting from the MPS and Bill of Material (BOM), calculates net requirements, proposing production and purchase orders.<\/p>\n\n\n\n
To function properly, it requires flawless master data:<\/p>\n\n\n\n
\n- MRP type,<\/li>\n\n\n\n
- minimum lot,<\/li>\n\n\n\n
- lead time,<\/li>\n\n\n\n
- rejection percentages,<\/li>\n\n\n\n
- rounding parameters,<\/li>\n\n\n\n
- security escort.<\/li>\n<\/ul>\n\n\n\n
The calculation logic is based on the Low Level Code (LLC),<\/strong> which defines the order in which to explode the BOM. Exceptions (advances, postponements, cancellations) must always be monitored through pegging functionality, which allows the source of requirements to be traced.<\/p>\n\n\n\nWhen faced with an exception or change in the arrival schedule of materials, it is important to trace the source of requirements back to understand the impacts on higher levels.<\/p>\n\n\n\n
An MRP that works on unreliable data generates overstocking, stock-outs, urgencies, plan instability and an overall increase in costs.<\/p>\n\n\n\n
<\/p>\n\n\n\n
9.2 Material management policies and lot sizing<\/strong><\/h4>\n\n\n\nThe choice of procurement policy has crucial impacts on inventory, cost and service level.<\/p>\n\n\n\n
Among the main methods:<\/p>\n\n\n\n
\n- EOQ<\/strong> (Economic Order Quantity),<\/li>\n\n\n\n
- Lot for Lot<\/strong> (L4L),<\/li>\n\n\n\n
- Fixed Order Quantity (FOQ)<\/strong>,<\/li>\n\n\n\n
- Period Order Quantity (POQ)<\/strong>,<\/li>\n\n\n\n
- min-max and reorder point methods,<\/li>\n\n\n\n
- Statistical or hedging security escort.<\/li>\n<\/ul>\n\n\n\n
Each technique has a specific rationale and recommended application depending on variability, code value, order issuance costs, and demand dynamics.<\/p>\n\n\n\n
Even such advanced practices asVMI (Vendor Managed Inventory)<\/strong><\/a> e Consignment Stock<\/a><\/strong> can improve efficiency and reduce operating load, especially for class C or D materials.<\/p>\n\n\n\n<\/p>\n\n\n\n
9.3 Capacity Planning: from the medium to the short term<\/strong><\/h4>\n\n\n\nCapacity planning makes it possible to check whether the material plan is consistent with production resources.<\/p>\n\n\n\n
The Capacity Requirement Planning (CRP<\/a>)<\/strong> Is based on:<\/p>\n\n\n\n\n- Capacity availability (rated or historical),<\/li>\n\n\n\n
- standard times,<\/li>\n\n\n\n
- work cycles,<\/li>\n\n\n\n
- efficiency and utilization,<\/li>\n\n\n\n
- simulated scheduling.<\/li>\n<\/ul>\n\n\n\n
The difference between:<\/p>\n\n\n\n
\n- infinite capacity load<\/strong> (typical of MTO contexts),<\/li>\n\n\n\n
- finite capacity load<\/strong> (typical of process industries)<\/li>\n<\/ul>\n\n\n\n
determines different approaches and different leveling strategies.<\/p>\n\n\n\n
CRP is critical to avoid unmanaged overloads and to ensure delivery reliability. Analyses such as queuing, wait times, and Little's law enforcement (The average number of customers in a system is equal to the average arrival rate multiplied by the average time in the system) <\/em><\/strong>allow us to understand how saturation affects the overall lead time.<\/p>\n\n\n\n<\/p>\n\n\n\n
10. What concrete results can an integrated Planning model generate?<\/strong><\/h3>\n\n\n\nAdopting an integrated planning system leads to tangible and measurable benefits based on our experience:<\/p>\n\n\n\n
\n- Stock reduction to 30-40%;<\/li>\n\n\n\n
- Increase in OTD and OTIF;<\/li>\n\n\n\n
- Reduction of lead times;<\/li>\n\n\n\n
- Increased production efficiency;<\/li>\n\n\n\n
- Increased stability of the plane;<\/li>\n\n\n\n
- Reduction of emergencies and extra costs;<\/li>\n\n\n\n
- Improving cross-functional collaboration.<\/li>\n<\/ul>\n\n\n\n
The key to success <\/strong>not resides <\/strong>only in the techniques - MRP, EOQ, ATP or CRP - but In the consistency of the system<\/strong>, in data quality, process discipline, and the company's ability to work cross-functionally.<\/p>\n\n\n\n<\/p>\n\n\n\n
Conclusions: planning as a strategic lever of competitiveness<\/strong><\/h3>\n\n\n\nIndustrial competition is no longer only about product, quality or price, but about the ability to reliably plan demand, capacity and materials along the entire Supply Chain. An integrated Production Planning model makes it possible to reduce inventory by up to 30-40%, increase OTD\/OTIF, reduce lead times, and improve plan stability and production efficiency, provided that data, processes, and roles are designed consistently.<\/p>\n\n\n\n
For many companies, the first step is not to implement a new tool, but to rethink the architecture of planning processes - From Demand Planning to S&OP, from MPS to Capacity Planning. <\/strong>- end-to-end and data-driven.<\/p>\n\n\n\nIf you want to figure out where to start in your reality, discover our approach to Lean Production Planning & Demand Planning <\/a>and how we integrate digital processes and tools into planning.<\/strong> To elaborate in a practical way, you can evaluate the \u201cEffective Production Planning<\/a>\u201d of the Lean Factory School\u00ae,<\/strong> which brings real-world cases and operational tools to the classroom that can be applied immediately in companiesa robust, integrated and data-driven planning system will be the ones that can meet the challenges of the future.<\/p>\n\n\n\n<\/p>\n\n\n\n
By Bonfiglioli Consulting Editorial Staff<\/strong>
Each publication stems from industry studies, field research and analysis of global trends integrated with knowledge and expertise gained from transformation projects, with the aim of promoting business culture.<\/em><\/h4>\n\n\n\nPublished on 02\/16\/2026<\/h4>\n\n\n\nFAQ<\/strong><\/h2>\n\n\n\n<\/p>\n\n\n\n
Why does my MRP generate continuous urgencies and rescheduling?<\/strong>
<\/h3>\n\n\n\nIncorrect master data (lead time, minimum lots), inaccurate BOM or lack of Planning Time Fence cause continuous exceptions. Result: stock-outs, extra costs and instability. Solution: validate basic parameters, use pegging to track impacts, and monitor MRP dashboard.<\/p>\n\n\n\n
What are the first steps to introduce effective S&OP in my company?<\/strong>
<\/h3>\n\n\n\n
The Planning <\/a>sits at the center of this ecosystem because it is the connection point between business strategy and operations. It is here that goals, budgets and business priorities are translated into concrete production, procurement and distribution plans.<\/p>\n\n\n\n <\/p>\n\n\n\n The first variable to understand in order to build an effective planning system is the production strategy<\/strong> adopted by the company. The four main strategies <\/strong>- Engineer to Order (ETO<\/strong>)<\/a>, Make to Order (MTO<\/strong>), Assembly to Order (ATO<\/strong>) and Make to Stock (MTS<\/strong>) \u2013 profoundly affect downstream processes:<\/strong> from forecasting, to inventory management, to the Master Scheduling<\/strong> and to the\u2019MRP<\/strong>.<\/p>\n\n\n\n The choice depends on factors such as:<\/p>\n\n\n\n In the typical life cycle of a product, ETO and MTO predominate in the launch and growth phases, while ATO and MTS are more common in maturity, when volumes increase and standardization becomes a priority goal.<\/p>\n\n\n\n Properly defining your strategy (or strategies, if different mixes exist) is essential<\/strong>: each model involves a different decoupling point between forecast and customer order, and thus requires a different organizational setup and planning approach.<\/p>\n\n\n\n <\/p>\n\n\n\n The production layout also significantly affects the planning model.<\/p>\n\n\n\n The main types are:<\/p>\n\n\n\n Each layout requires a specific planning model. For example, in a continuous or process context it will be natural to adopt capacity planning as the first driver, while in contract MTO contexts the priority will be orders and materials.<\/p>\n\n\n\n <\/p>\n\n\n\n Effective planning is not a unique process, but a hierarchical system<\/strong> connecting different time horizons and different levels of granularity:<\/p>\n\n\n\n The quality of execution depends on the alignment of all these levels. A weak S&OP, for example, generates downstream instability on MPS, MRP, and scheduling, with heavy impacts on inventory and service level.<\/p>\n\n\n\n <\/p>\n\n\n\n Demand Planning combines statistical and qualitative techniques to construct the expected demand for products or services. Demand can come from:<\/p>\n\n\n\n Typical patterns (trend, seasonality, random variability) affect the choice of forecasting technique and stockpile policies.<\/p>\n\n\n\n The basic principles are clear:<\/p>\n\n\n\n Key indicators include:<\/p>\n\n\n\n MAD: Mean Absolute Deviation<\/em><\/strong><\/p>\n\n\n\n This indicator has the objectives of determining deviations between demand and forecast ,planning around the error and correctly sizing the safety stock and thus improving forecasting techniques<\/p>\n\n\n\n BIAS: the tendency to deviate from the mean value<\/em><\/strong><\/p>\n\n\n\n MAPE (mean absolute percent error)<\/em><\/strong><\/p>\n\n\n\n Measured through monitoring dashboards.<\/p>\n\n\n\n With<\/p>\n\n\n\n The XYZ Classification of Historical Product Demand.<\/strong> (variability) is carried out to assign the class of demand variability to each item. It is based on the calculation of the Coefficient of Variation and the demand density<\/p>\n\n\n\n \u03c3 sigma<\/strong>: is the standard deviation of the demand time series<\/p>\n\n\n\n \u00b5 average<\/strong>: is the average demand<\/p>\n\n\n\n ABC indicator<\/strong>: is a classification of materials that can be used to filter them in planning transactions to enable smarter management of product portfolio and stock policies.<\/p>\n\n\n\n <\/p>\n\n\n\n The Sales & Operations Planning<\/a> is the process that integrates all business plans--sales, marketing, product development, manufacturing, procurement, and finance--into a single monthly tactical plan. It is the point of contact between strategy and operations.<\/p>\n\n\n\n The S&OP process involves five steps:<\/p>\n\n\n\n The benefits are manifold:<\/p>\n\n\n\n Without a stable and disciplined S&OP, every subsequent phase of planning becomes reactive, fragmented and inefficient.<\/p>\n\n\n\n <\/p>\n\n\n\n Resource Planning (RP) aims to verify the feasibility of the plan defined by the S&OP over the medium to long term. It uses the Bill of Resources<\/strong>, a simplified bill representing the average allocation needed for a product family.<\/p>\n\n\n\n The process makes it possible to:<\/p>\n\n\n\n <\/p>\n\n\n\n The Master Production Schedule (MPS) translates the S&OP plan into a production schedule for individual codes, with precise quantities and dates.<\/p>\n\n\n\n The goals of the MPS are:<\/p>\n\n\n\n La unbundling<\/strong> of the plan is fundamental and is based on coefficients derived from historical analysis. The structure of the planning changes depending on the strategy:<\/p>\n\n\n\n ATP is defined as the stock and planned orders not yet used to fulfill customer orders.<\/strong> It does not consider commitments from the forecast but only from confirmed customer orders. It is of 2 types:<\/p>\n\n\n\n To properly manage promises to the customer, an essential element for reliability and level of service.<\/p>\n\n\n\n Crucial is the definition of the planning intervals<\/strong> (Planning Time Fence), which stabilize the plan and avoid continuous changes, a major cause of inefficiency and hidden costs.<\/p>\n\n\n\n <\/p>\n\n\n\n <\/p>\n\n\n\n It is the engine that, starting from the MPS and Bill of Material (BOM), calculates net requirements, proposing production and purchase orders.<\/p>\n\n\n\n To function properly, it requires flawless master data:<\/p>\n\n\n\n The calculation logic is based on the Low Level Code (LLC),<\/strong> which defines the order in which to explode the BOM. Exceptions (advances, postponements, cancellations) must always be monitored through pegging functionality, which allows the source of requirements to be traced.<\/p>\n\n\n\n When faced with an exception or change in the arrival schedule of materials, it is important to trace the source of requirements back to understand the impacts on higher levels.<\/p>\n\n\n\n An MRP that works on unreliable data generates overstocking, stock-outs, urgencies, plan instability and an overall increase in costs.<\/p>\n\n\n\n <\/p>\n\n\n\n The choice of procurement policy has crucial impacts on inventory, cost and service level.<\/p>\n\n\n\n Among the main methods:<\/p>\n\n\n\n Each technique has a specific rationale and recommended application depending on variability, code value, order issuance costs, and demand dynamics.<\/p>\n\n\n\n Even such advanced practices asVMI (Vendor Managed Inventory)<\/strong><\/a> e Consignment Stock<\/a><\/strong> can improve efficiency and reduce operating load, especially for class C or D materials.<\/p>\n\n\n\n <\/p>\n\n\n\n Capacity planning makes it possible to check whether the material plan is consistent with production resources.<\/p>\n\n\n\n The Capacity Requirement Planning (CRP<\/a>)<\/strong> Is based on:<\/p>\n\n\n\n The difference between:<\/p>\n\n\n\n determines different approaches and different leveling strategies.<\/p>\n\n\n\n CRP is critical to avoid unmanaged overloads and to ensure delivery reliability. Analyses such as queuing, wait times, and Little's law enforcement (The average number of customers in a system is equal to the average arrival rate multiplied by the average time in the system) <\/em><\/strong>allow us to understand how saturation affects the overall lead time.<\/p>\n\n\n\n <\/p>\n\n\n\n Adopting an integrated planning system leads to tangible and measurable benefits based on our experience:<\/p>\n\n\n\n The key to success <\/strong>not resides <\/strong>only in the techniques - MRP, EOQ, ATP or CRP - but In the consistency of the system<\/strong>, in data quality, process discipline, and the company's ability to work cross-functionally.<\/p>\n\n\n\n <\/p>\n\n\n\n Industrial competition is no longer only about product, quality or price, but about the ability to reliably plan demand, capacity and materials along the entire Supply Chain. An integrated Production Planning model makes it possible to reduce inventory by up to 30-40%, increase OTD\/OTIF, reduce lead times, and improve plan stability and production efficiency, provided that data, processes, and roles are designed consistently.<\/p>\n\n\n\n For many companies, the first step is not to implement a new tool, but to rethink the architecture of planning processes - From Demand Planning to S&OP, from MPS to Capacity Planning. <\/strong>- end-to-end and data-driven.<\/p>\n\n\n\n If you want to figure out where to start in your reality, discover our approach to Lean Production Planning & Demand Planning <\/a>and how we integrate digital processes and tools into planning.<\/strong> To elaborate in a practical way, you can evaluate the \u201cEffective Production Planning<\/a>\u201d of the Lean Factory School\u00ae,<\/strong> which brings real-world cases and operational tools to the classroom that can be applied immediately in companiesa robust, integrated and data-driven planning system will be the ones that can meet the challenges of the future.<\/p>\n\n\n\n <\/p>\n\n\n\n <\/p>\n\n\n\n Incorrect master data (lead time, minimum lots), inaccurate BOM or lack of Planning Time Fence cause continuous exceptions. Result: stock-outs, extra costs and instability. Solution: validate basic parameters, use pegging to track impacts, and monitor MRP dashboard.<\/p>\n\n\n\n2. What is the right production strategy to reduce lead time and inventory?<\/strong><\/h3>\n\n\n\n
\n
3. How does production layout affect planning logic?<\/strong><\/h3>\n\n\n\n
\n
4. How to structure a planning hierarchy that avoids urgency and chaos?<\/strong><\/h3>\n\n\n\n
\n
5. Demand Planning: how to reduce forecast error and <\/b><\/span>How does it really affect business?<\/strong><\/h3>\n\n\n\n
\n
\n
![\"\"](\"https:\/\/www.bonfiglioliconsulting.com\/wp-content\/uploads\/2026\/02\/image.png\")
<\/figure>\n\n\n\n![\"Mathematical](\"https:\/\/www.bonfiglioliconsulting.com\/wp-content\/uploads\/2026\/02\/image-1.png\")
<\/figure>\n\n\n\n\n
![\"The](\"https:\/\/www.bonfiglioliconsulting.com\/wp-content\/uploads\/2026\/02\/image-3.png\")
<\/figure>\n\n\n\n6. S&OP: why without a robust monthly process does production remain reactive?<\/strong><\/h3>\n\n\n\n
\n
\n
7. Resource Planning: validating capacity over the medium term<\/strong><\/h3>\n\n\n\n
\n
8. Master Scheduling: how to switch from family plan to product plan without losing stability?<\/strong><\/h3>\n\n\n\n
\n
\n
\n
9. MRP, material policies and Capacity Planning: how to align materials and resources with customer priorities?<\/strong><\/h3>\n\n\n\n
9.1 Material Requirements Planning (MRP): the logic of material requirements.<\/strong><\/h4>\n\n\n\n
\n
9.2 Material management policies and lot sizing<\/strong><\/h4>\n\n\n\n
\n
9.3 Capacity Planning: from the medium to the short term<\/strong><\/h4>\n\n\n\n
\n
\n
10. What concrete results can an integrated Planning model generate?<\/strong><\/h3>\n\n\n\n
\n
Conclusions: planning as a strategic lever of competitiveness<\/strong><\/h3>\n\n\n\n
By Bonfiglioli Consulting Editorial Staff<\/strong>
Each publication stems from industry studies, field research and analysis of global trends integrated with knowledge and expertise gained from transformation projects, with the aim of promoting business culture.<\/em><\/h4>\n\n\n\nPublished on 02\/16\/2026<\/h4>\n\n\n\n
FAQ<\/strong><\/h2>\n\n\n\n
Why does my MRP generate continuous urgencies and rescheduling?<\/strong>
<\/h3>\n\n\n\nWhat are the first steps to introduce effective S&OP in my company?<\/strong>
<\/h3>\n\n\n\n