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Unit 3: Capacity Planning




          Introduction                                                                          Notes

          Product design, capacity  and process  selection  have  a  direct  relationship. Product  design
          determines the value provided to  the customer; the value  determines the  market size;  the
          market size determines the volumes and therefore the capacity; and capacity leads to the process.
          Capacity planning should be solely based on the principle of maximizing the value delivered to
          the customer. This reflects in minimizing costs of producing products and services, providing
          them in a timely manner, and ensuring that the products provide the highest level of quality.

          Capacity planning has become a strategic tool in the operations function. It guides our choices
          on capacity, locations, and layout for  the long-term.  It also  helps in  managing supply  and
          demand, and these choices in turn, affect the ways a firm uses its resources and facilities in the
          short-term.

          3.1 Defining Capacity

          It is necessary to recognize the difference between theoretical capacity and normal capacity.
          Theoretical capacity is what can be achieved under ideal conditions for a short period of time.
          Under these conditions, there are no equipment breakdowns, maintenance requirements, set up
          times, bottlenecks, or worker errors.
          However, to an operations manager, this description of Capacity may be quite meaningless. As
          no equipment operates around the clock, seven days a week, there have to be allowances made
          for maintenance, breakdowns, set up times, errors, etc. Capacity, therefore, is the quantity of
          output, which is estimated on the basis of normal conditions.
          Normal Capacity describes the maximum producible output when plants and equipment are
          operated for an average period of time to produce a normal mix of output. Due to defining
          capacity in this manner, it is  not unusual  for a facility to operate at more than 100 per cent
          capacity. Capacity is mathematically expressed as:
          Capacity = (Maximum production rate/Hour) x (Number of hours worked/Period);

          where, Production Rate = Number of units produced/Amount of time
          The firm's capacity to produce, whether measured as output or input, depends on the number or
          type of equipment it has – the intensity with which this equipment is used – the production
          efficiency, the nature and extent of the supply chain; the product mix to be produced, the demand
          levels, and distribution capabilities.

                 Example: Capacity can be changed by changing the number of working hours, production
          rate, or product mix.
          Though, the normal capacity can be measured in the manner described above, it is often difficult
          to measure operational capacity. There are day-to-day variations, job changes, product  mix
          changes, absenteeism, equipment breakdown, facility downtime, etc.  Due to these variations,
          the  capacity of a facility can rarely be measured in precise terms, so measurements must be
          interpreted with care.
          Effective Capacity (utilization): It is found that an organization can operate more efficiently
          when its resources are not stretched beyond a limit. Effective Capacity is the Capacity, which a
          firm can expect to achieve, given it's product mix, methods of scheduling, maintenance, and
          standards of quality.






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