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Production Capacity: Its Bases, Functions and Measurement

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Planning Production and Inventories in the Extended Enterprise

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 151))

Abstract

The concept of capacity in humans and processes is nebulous and is often confused with other notions such as performance, output, throughput, etc. As a consequence, the measurement of ‘capacity’, which is often taken as ‘well known’, has remained uncharted ground. Knowledge of a plant’s capacity is required for the whole gamut of activities that are related to the field of production planning and control, from plant location and sizing to the daily scheduling of operations. This chapter proposes four kinds of ‘capacity’; they are nominal, operational, planned, and realized capacities. It also contends that in the majority of cases one cannot measure capacity, any one of the four types, by a crisp number, but that its proper identification requires distribution of values and a probability statement attached to these values. This view necessitates a different type of analysis (of existing processes) and synthesis (of proposed ones) that is different in methodology as well as conclusions.

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Notes

  1. 1.

    We are not concerned here with the methodology of sequencing the jobs, but take the sequence as given.

  2. 2.

    This is the difference between the sums. Individual entries for each product for each week are evaluated separately. For instance, from Table 7.2 the actual production of A in week 1 was 0.81 tons. Therefore production under industry standards is (0.81∕1−0.039)(1−0.014)=0.83ton;etc.

  3. 3.

    Professor James R. Wilson, Head of the Industrial and Systems Engineering Department, North Carolina State University, Raleigh, NC 27695-7906, USA.

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Correspondence to Salah E. Elmaghraby .

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Elmaghraby, S.E. (2011). Production Capacity: Its Bases, Functions and Measurement. In: Kempf, K., Keskinocak, P., Uzsoy, R. (eds) Planning Production and Inventories in the Extended Enterprise. International Series in Operations Research & Management Science, vol 151. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6485-4_7

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