Engineering topics
Publications and source records attributed to Eisenberger, I..
Assortments analyzed for cost effectiveness and effects on system functionality. Eisenberger-Maiocco algorithm (EMA) is efficient Markov algorithm to aid in provision of spare parts. Two calculations performed: forecasting availability of system with given pool of spare parts and determining most cost-effective assortment of spares. EMA written in interpreter PC-BASIC.
Simple method for life-cycle cost (LCC) estimation avoids pitfalls inherent in formulations requiring separate estimates of inflation and interest rates. Method depends for validity observation that interest and inflation rates closely track each other.
The goals and data collection requirements to be used for the economic and performance evaluation indexes and life cycle cost parameters for the upcoming operations demonstration of an automated Deep Space Station (DSS) run unattended and controlled remotely from JPL are presented. These evaluation indexes compare the remote operation of telemetry at DSS 13 with the cost and performance of a comparable manned operation at DSS 11. A description is presented of the data that needs to be collected, how the data will be analyzed, and what can and cannot be learned from this operations demonstration.
The effect of projected interest and inflation rates on life cycle cost calculations is discussed and a method is proposed for making such calculations which replaces these rates by a single parameter. Besides simplifying the analysis, the method clarifies the roles of these rates. An analysis of historical interest and inflation rates from 1950 to 1976 shows that the proposed method can be expected to yield very good projections of life cycle cost even if the rates themselves fluctuate considerably.
A method is proposed to maintain cost-effective spares stockpiles for an entire DSN station or complex as new modules or subsystems are continuously added. Levels of spares are calculated individually for each new module type so as to conform to an established standard for the entire spares pool. Finding the spares levels is computationally simplified and in many cases is reduced to consulting a Down-Time Ratio Chart. A simple modification permits taking into account a criticality factor.
The history and methodology of life-cycle costing are presented and analyzed, contrasting the potential benefits of the technique with the difficulties of its application. Examples and a short survey of the literature are given.
Systematic detection policies and Monte Carlo experiments on increased failure rate
Estimating parameters of chi square and related distributions using quantiles, for data compression of space telemetry
Description of system for recording and reading out data related to distribution of occurrence of plurality of events
Hypotheses and estimation of correlation coefficient using six and eight quantiles, with application to space telemetry
Statistical probability and sampled data method for compressing data from deep space probes
Quantile system of data compression for space telemetry, discussing operation, efficiency and advantages
Quantile system of data compression for space telemetry
Sample quantiles for data compression of space telemetry
Sampled data for data compression of space telemetry