
Capacity planning is fundamental to every manufacturing organization. It is defined as "the process of determining the production capacity required b an organization to meet changing demands for its products." In other words, this process looks at product demand to determine how much resource capacity needs to be available for production.
Finding a balance that meets requirements but creates little to no waste can be tricky. Insufficient planning can lead to missed delivery dates, increased work-in-process costs, and dissatisfied customers. On the other hand, excess manufacturing means too much investment in unused assets, lost opportunities, and wasted personnel costs.
This is where capacity planning techniques come into play to allow manufacturing operations to find the right balance for their company.
Capacity Planning Techniques
There are four major techniques used in capacity planning - 1) capacity planning using overall factors, 2) capacity bills, 3) resource profiles, and 4) capacity requirements planning (CRP). The latter is used in conjunction with material requirements planning (MRP) systems. The techniques used for capacity planning can be different based on the type of production mode. Let's look at each one of these techniques.
1) Capacity Planning Using Overall Factors
The first three capacity planning techniques presented here are considered "rough-cut" approaches to identify potential capacity bottlenecks within the manufacturing operation.
Although its title seems complicated, CPOF (capacity planning using overall factors) is a simple approach to capacity planning that applies historical ratios. These ratios are based on the master production schedule along with established production standards. The data obtained from work centers and volumes of finished in specific time periods are used to predict capacity needed for future work.
2) Capacity Bills
This capacity planning technique required more detailed product information such as its bill or material (BOM), routing information, and capacity requirements at each work center. This technique uses the bill of materials used and parts produces along with the work center setup and actual run times to compute capacity. Here, capacity is calculated by multiplying the number of units required (demand) by the time required to produce each item/unit.
While this technique accounts for more details than capacity planning using overall factors by considering shifts in the product mix, it does not take into account lead times for production or the specific timing of each operation at each work center/resource.
3) Resource Profiles
The resource profile includes the hours required to complete each operation while integrating lead time information to indicate when jobs should begin if they are to be completed on time. In addition, this technique takes into account that different resources and different products will have different production rates.
This technique is said to be a more accurate representation of capacity requirement as it considers the specific timing of the workload s well as the lead times for each component. Resource profiles acknowledge the lead times needed by available resources so that workloads are allocated to the appropriate shifts.
4) Capacity Requirements Planning
Capacity Requirements Planning (CRP) is the process of determining whether the company has enough capacity to meet the production goals. CRP (and other capacity planning techniques) starts by determining the overall workload from the demand and then analyzing the current available capacity to see if the demand can be met.
The analysis component includes identifying which resources have the most and least available capacity, as well as identifying which products take up more resource capacity than others.
CRP combines information such as required materials, machine production time, varying run rates, labor requirements, sequence-dependent changeover time, and more to create the capacity requirements plan. Each work center will have a capacity plan prepared that can be used in planning and production.
Enhancing Capacity Planning
Capacity planning is an important aspect of production planning as it tells you if your production plan is realistic and feasible. If the planned production is greater than the available capacity, your production plan will not be completed and you will likely have late orders.
While the right capacity planning and optimization rules are important, there are techniques that can help maximize the available capacity you already possess.
An OEE (overall equipment effectiveness) measure can add value to this information by noting the optimum cycle time needed to produce one part and comparing it to the amount of time that was actually used. Thus, unrealistic expectations can be excluded from calculating capacity. In addition, OEE can help identify areas and resources that are underperforming, which inadvertently reduces the available capacity of the resource.
While these concepts seem relatively simple to understand, calculating resource capacity requirements for hundreds or thousands of jobs can be extremely time-consuming. That is why many planners choose to use technology to gather data from various sources to quickly calculate how much capacity is required to complete all jobs in time.
Another PlanetTogether benefit is the ability to integrate preventative maintenance schedules with manufacturing schedules. Commitments cannot be met without maximizing overall equipment effectiveness (OEE) and the freedom to block out time for preventative maintenance before the schedule is filled with orders increases our uptime and capacity.
GARY BISHOP. DIRECTOR OF MANUFACTURING OPERATIONS, SUMITO ELECTRIC LIGHTWAVE
All these techniques use past information to inform future planning—whether it is numbers of machines available, human resources available, parts inventory on hand, or the time it has taken to produce a particular product on a particular piece of equipment. Advanced planning techniques, however, can add another level of knowledge to this base by allowing “what-if” simulations. "What-if" scenario simulations allow your planners to change any value within the factory model to determine the best way to plan and schedule operations to maximize resource utilization without affecting the current production schedule.
PlanetTogether’s Advanced Planning and Scheduling (APS) software is used by many manufacturers that want to optimize their production facility’s available resources to increase their production output and revenue.
Advanced Planning and Scheduling (APS) Software
Advanced Planning and Scheduling Software have become a must for modern-day manufacturing operations as customer demand for increased product assortment, fast delivery, and downward cost pressures become prevalent. These systems help planners save time while providing greater agility in updating ever-changing priorities, production schedules, and inventory plans. APS Systems can be quickly integrated with an ERP/MRP software to fill the gaps where these systems lack planning and scheduling flexibility, accuracy, and efficiency.
With PlanetTogether APS you can:
The implementation of an Advanced Planning and Scheduling (APS) Software will take your manufacturing operations to the next level of production efficiency by taking advantage of the operational data you already possess in your ERP system. APS is a step in the right direction of efficiency and lean manufacturing production enhancement.
Video: Capacity Planning in Manufacturing – Matching Demand to Capacity with APS
Effective capacity planning means determining how much production capacity you really need to meet changing demand—without creating bottlenecks, missed due dates, or idle assets. It is defined as the process of determining the production capacity required by an organization to meet the changing demands for its products.
In this video, you will see how PlanetTogether Advanced Planning & Scheduling (APS) supports the four main capacity planning techniques used in manufacturing:
- CPOF (Capacity Planning Using Overall Factors) – a high-level, ratio-based method using the master production schedule and historical standards
- Capacity Bills – translating BOMs and routings into time-based capacity needs at each work center
- Resource Profiles – incorporating lead times and operation timing for a more accurate picture of future load
- Capacity Requirements Planning (CRP) – detailed, time-phased capacity planning integrated with MRP
You will also learn how to:
- Use OEE (Overall Equipment Effectiveness) to distinguish theoretical capacity from effective capacity, ensuring plans reflect availability, performance, and quality losses
- Identify overloaded and underutilized work centers and shift load using APS
- Run what-if scenarios to test new demand, new products, or constraint changes without disrupting the live schedule
This video is ideal for production planners, schedulers, and operations leaders who need a practical way to align demand, capacity, and constraints using APS.
Turn Capacity Planning into a Measurable Profit Lever
Getting capacity planning wrong is expensive. Plan too little and you miss deliveries, build WIP, and frustrate customers. Plan too much and you tie up capital in underused equipment, extra labor, and excess overhead. Your article shows how techniques like CPOF, capacity bills, resource profiles, and CRP help calculate realistic capacity needs and how APS plus OEE reveal what your resources can truly deliver.
Download our “The Money Is in the Planning” infographic to see how manufacturers use capacity planning plus APS to:
- Balance demand, capacity, and constraints so production plans are actually feasible
- Use OEE and real run rates instead of ideal standards to avoid overcommitting capacity
- Identify and exploit bottleneck resources to increase throughput and revenue
- Reduce fire-fighting by relying on scenario-based, data-driven planning rather than guesswork
Share it with your planning, operations, and finance teams as a simple visual guide to why strong capacity planning + APS is one of the fastest ways to improve both service and margins.