Author: Dr. İlker Guclu Latest Update: 26 October 2026 Related: Production Planning Training , Production Planning Consulting , What Is Materials Planning
In brief: Production planning determines when and how resources such as machines, materials and labor are used to meet customer demand. It is carried out at strategic, tactical and operational levels and aims to balance service level and cost. This article covers the decision levels, the objectives of planning, its place in the supply chain and optimization approaches. For material requirements, see What Is Materials Planning?. For scheduling, see What Is Detailed Scheduling?.
In this article:
Production (or Manufacturing) planning is the organization of manufacturing activities so that customer demands and orders are met while utilizing resources such as machines, equipment and labor in line with the organization's performance objectives.
Production planning is a critical business process for the success of manufacturing organizations.
Producers need a production planning process that responds to both customer expectations and their corporate goals.
Many factors affect how production is planned. The presence of numerous elements such as customer orders, current stocks, material requirements, resource capacities and costs makes accurate and efficient production planning challenging.
The type of production environment also shapes how planning is done. In make-to-stock production (MTS), the plan rests on demand forecasts and target inventory levels. In make-to-order production (MTO), confirmed orders and due dates come to the front. In engineer-to-order production (ETO), design and procurement lead times are the main drivers of the plan. Different product families within the same organization may use different approaches side by side.
Production planning aims to balance demand and supply resources with competitive, profit-oriented decisions.
To design production planning processes properly, it's important to clearly define how production planning relates to other planning processes.
Considering the horizons, scopes and impacts of decisions, grouping production planning activities into hierarchical levels is useful.
Production planning decisions can generally be examined at three levels:
These levels determine the scope and depth of production planning. Decisions at each level constrain and direct lower-level decisions.
Addressing production planning decisions at these levels enables more effective and efficient management of production processes.
Each hierarchical level can be further subdivided. For example, we split the operational level into two sublevels in the table below. Note that organizations may have additional levels and decisions specific to their context.
Abbreviations (in order of appearance): S&OP: Sales and Operations Planning, IBP: Integrated Business Planning, CPFR: Collaborative Planning, Forecasting and Replenishment, MPS: Master Production Scheduling, RCCP: Rough-Cut Capacity Planning, ATP: Available-To-Promise, CTP: Capable-To-Promise, MRP: Material Requirements Planning, CRP: Capacity Requirements Planning, TOC: Theory of Constraints
Production planning decisions are generally made through following steps:
These steps enable the systematic and efficient execution of the production planning process.
The steps do not proceed in one direction only. Events that arise during execution, such as a machine breakdown, a delayed material or a changed order, call for the plan to be reviewed again. Higher-level plans are updated less often and lower-level plans more often. How the master production schedule, material requirements planning and just-in-time logic work together in this flow is covered in How MPS, MRP and JIT Work Together.
There are common practices and factors that must be considered in production planning.
For make-to-order production, meeting delivery dates and for make-to-stock production, avoiding stockouts are core objectives that ensure customer satisfaction and service levels.
Service level is measured by the share of orders delivered on time and in full. Because a high service-level target requires more inventory and capacity flexibility, service and cost are often affected in opposite directions. The plan is the tool for striking this balance deliberately.
On the other hand, costs arising from purchasing, production, storage and logistics must be minimized. Therefore, production planning decisions should minimize these costs while meeting demand. Related functional processes must also be configured accordingly.
Planning production better, can and will reduce purchasing, production, inventory and logistics costs.
As capacity utilization rises, waiting times grow non-linearly. For this reason, especially at bottleneck resources, a high utilization target is weighed together with a short flow-time target. When the production environment is continuous-flow or campaign-based, changeovers and setup times become the central input of the plan. This is covered in Campaign Planning and Changeovers in the Process Industry. For repetitive production run with pull logic, see Lean Production and Kanban Systems.
Supply Chain Management can be defined as the management approach that covers all stages from raw material sourcing through production, storage, distribution and delivery to the customer.
Production planning relates to functions such as sales, production, warehousing, logistics, purchasing and finance within supply chain operations.
Organizations aiming for excellence in supply chain management and production planning need to structure key functional planning processes.
Failure to integrate sales, production, purchasing, warehousing and logistics planning leads to inefficiencies and financial losses in resource usage and demand fulfillment, negatively affecting on-time delivery performance and profitability.
Therefore, production planning should not be treated in isolation. Its relationships must be clearly defined within the organization.
Large deviations in demand forecasts, frequent order changes, cancellations, urgent orders, and highly urgent orders adversely affect purchasing, production, warehousing and logistics processes.
Effective coordination between demand planning and production planning is necessary to ensure customer satisfaction and proper use of resources and materials.
Forecast error directly affects planning decisions. How it is measured is covered in Forecast Errors and Bias: Measurement, and the coordination of demand and supply planning processes in Coordinating Demand and Supply Planning.
To learn more about demand planning, click here.
Production cannot be considered independently of inventories. Raw materials and components must be procured so as not to disrupt production plans. In make-to-stock environments, inventory should be planned to protect against demand and supply fluctuations.
When inventory levels and safety stock are set, fluctuations in the production plan are also taken into account. For common mistakes in safety stock calculations, see 5 Common Mistakes in Safety Stock Calculation. For cost-based decision making on the purchasing side, see Total Cost of Ownership (TCO) in Purchasing.
To learn more on inventory management, click here.
Critical warehouse factors include receival, storage, order picking and loading/unloading capacities, as well as carrying and storage costs. Logistics planning organizes distribution of stocks to required locations, focusing on timing, modes of transport and routing. Warehouse and logistics constraints directly affect production plans.
To learn more on logistics planning, click here.
The related processes and general material and information flows are summarized below.
To learn more on supply chain management, click here.
Advances in information technologies have increased the adoption of innovative methodologies in production planning.
These approaches use various optimization techniques developed within the field of Operations Research.
In optimization, the production plan is expressed as a decision model: decision variables (which product, in which period, how much), an objective (minimizing cost or reducing late delivery) and constraints (capacity, materials, inventory, lot sizes). The model is solved by linear programming, integer programming or heuristic methods.
Manual trial-and-error planning for complex production planning problems can be time-consuming, and may lead to suboptimal results. Innovative methodologies can generate more effective and reliable plans in much shorter timeframes.
These techniques help create plans that satisfy customers, increase resource efficiency and minimize costs.
The success of these approaches depends on data quality. When routings, setup times, lead times and capacity information are out of date, even the most advanced model produces plans that cannot be executed. For this reason optimization work begins with putting master data in order.
To learn more on Optimization, click here.
Organizations should first identify gaps and needs in their current production planning processes, then design how to improve or re-engineer them.
The stages of production planning, the flow between them, tasks and responsibilities, analysis methods and supporting tools vary from one organization to another. The planning setup depends on production strategy, product characteristics, physical infrastructure, supply chain relationships and customer demand dynamics.
The fundamental approach is to organize planning activities by horizon (long, medium, short), by level of detail (product group, product, semi-finished item or operation), and according to defined priorities and assumptions. For this reason production planning systems are built 'tailor-made' within the organization.
How the process is built and operated in a given organization is addressed in conceptual design. Production Planning Consulting is available for tailoring the production planning process, S&OP/IBP Consulting for balancing demand and supply, and Inventory Management Consulting for inventory policies. Maturity Assessments are also available for evaluating the current state.
For all guides and articles, visit the Knowledge Center.
Optimum Planlama provides hands-on training and consulting services for production planning processes and identifying tools/software based automation needs.
In-house workshops are recommended for multi-site or complex manufacturers.
Our services for production planning and related processes are listed below.
Manage orders, capacity-material requirements and production flow better.
Learn forecasting processes, methods and analytics through hands-on exercises.
Balance demand and supply plans through competitive tactics and cross-functional reconciliation.
Develop innovative processes for planning and operational execution.
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