To develop integrated policies for mobilization preparedness, planners require estimates of available productive capacity during national emergency conditions. This report is the second of a two-volume report that develops estimates for emergency operating capacity (EOC) for 446 manufacturing industries at the 4-digit Standard Industrial Classification (SIC) level of aggregation and for 24 key nonmanufacturing sectors. This volume presents tabular and graphical results of the historical analysis and the projections of EOC for the 446 four-digit SIC manufacturing sectors. To aid potential users in understanding and exploiting interrelationships among the various data and forecast elements, a one-page format of tabular results and graphics was developed for each 4-digit SIC industry. Key data series for each sector include I) industry output, 2) implied capacity output--obtained by dividing output by an annual capacity utilization rate, 3) capital stock, and 4) predicted capacity. Although these one-page summary reports provide the sole presentation vehicle for the manufacturing EOC estimates, computer files were also developed that include only the estimates of emergency capacity and other selected data items.
Volume 1, Methodologies and Data Sources. lays out the general conceptsand methods used to develop these emergency operating estimates. The procedure for estimating the manufacturing EOC basically follows that used in a previous study for the Federal Emergency Management Agency (FEMA) in 1984.The key data input is the set of historical capacity utilization measures collected by the Bureau of the Census in its Survey of Plant Capacity. These utilization measures are used in conjunction with output measures to develop estimates of "practical" capacity by 4-digit SIC industry. Data collected in the Survey of Plant Capacity on weekly plant hours are used to estimate the additional output that may be expected should the plant operate seven days per week, 24 hours per day. The resulting emergency capacity estimates are adjusted to account for required maintenance and the loss of productivity from greater reliance on shift work.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.