Capacity planning

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Capacity planning is the process of determining the production capacity needed by an organization to meet changing demands for its products.[1] In the context of capacity planning, design capacity is the maximum amount of work that an organization is capable of completing in a given period. Effective capacity is the maximum amount of work that an organization is capable of completing in a given period due to constraints such as quality problems, delays, material handling, etc. The phrase is also used in business computing as a synonym for capacity management.

A discrepancy between the capacity of an organization and the demands of its customers results in inefficiency, either in under-utilized resources or unfulfilled customers. The goal of capacity planning is to minimize this discrepancy. Demand for an organization's capacity varies based on changes in production output, such as increasing or decreasing the production quantity of an existing product, or producing new products. Better utilization of existing capacity can be accomplished through improvements in overall equipment effectiveness (OEE). Capacity can be increased through introducing new techniques, equipment and materials, increasing the number of workers or machines, increasing the number of shifts, or acquiring additional production facilities.

Capacity is calculated as (number of machines or workers) × (number of shifts) × (utilization) × (efficiency).

Strategies[edit]

The broad classes of capacity planning are lead strategy, lag strategy, match strategy, and adjustment strategy.

  • Lead strategy is adding capacity in anticipation of an increase in demand. Lead strategy is an aggressive strategy with the goal of luring customers away from the company's competitors by improving the service level and reducing leadtime. It is also a strategy aimed at reducing stockout costs. A large capacity does not necessarily imply high inventory levels, but it can imply in higher cycle stock costs. Excess capacity can also be rented to other companies.
  • Lag strategy refers to adding capacity only after the organization is running at full capacity or beyond due to increase in demand (North Carolina State University, 2006). This is a more conservative strategy. It decreases the risk of waste, but it may result in the loss of possible customers either by stockout or low service levels.
  • Match strategy is adding capacity in small amounts in response to changing demand in the market. This is a more moderate strategy.
  • Adjustment strategy is adding or reducing capacity in small or large amounts due to consumer's demand, or, due to major changes to product or system architecture.

Capacity[edit]

In the context of systems engineering, capacity planning[2] is used during system design and system performance monitoring.

Capacity planning is long-term decision that establishes a firm's overall level of resources. It extends over time horizon long enough to obtain resources. Capacity decisions affect the production lead time, customer responsiveness, operating cost and company ability to compete. Inadequate capacity planning can lead to the loss of the customer and business. Excess capacity can drain the company's resources and prevent investments into more lucrative ventures. The question of when capacity should be increased and by how much are the critical decisions.

Capacity – available or required?

From a scheduling perspective it is very easy to determine how much capacity (or time) will be required to manufacture a quantity of parts. Simply multiply the standard cycle time by the number of parts and divide by the part or process OEE %.

If production is scheduled to produce 500 pieces of product A on a machine having a cycle time of 30 seconds and the OEE for the process is 85%, then the time to produce the parts would be calculated as follows:

(500 parts × 30 seconds) / 85% = 17647.1 seconds The OEE index makes it easy to determine whether we have ample capacity to run the required production. In this example 4.2 hours at standard versus 4.9 hours based on the OEE index.

By repeating this process for all the parts that run through a given machine, it is possible to determine the total capacity required to run production.

Capacity available

When considering new work for a piece of equipment or machinery, knowing how much capacity is available to run the work will eventually become part of the overall process. Typically, an annual forecast is used to determine how many hours per year are required. It is also possible that seasonal influences exist within the machine requirements, so a quarterly or even monthly capacity report may be required.

To calculate the total capacity available, the volume is adjusted according to the period being considered. The available capacity is difference between the required capacity and planned operating capacity.

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References[edit]

  1. ^ "Terms & Definitions - Supply Chain Management". North Carolina State University. 2006. Retrieved 2008-10-26. 
  2. ^ Gunther, Neil J. (2007). Guerrilla Capacity Planning,. Springer. ISBN 3-540-26138-9. 

Bibliography[edit]

  • Hill, Joyce (2006). Capacity Requirements Planning. 
  • Krajewski, Lee J.; Ritzman, Larry P. (2005). Operations Management: Processes and Value Chains. Upper Saddle River, New Jersey: Prentice Hall. 
  • Lazowska, Edward D. (1984). Quantitative System Performance. Prentice-Hall. ISBN 0-13-746975-6. 

See also[edit]