Accession Number : AD0621699

Title :   LOGICAL MODEL REPRESENTING PERSONNEL FLOW IN THE U.S. ARMY: CONSIDERATIONS RELATIVE TO REDUCTION OF TURBULENCE.

Descriptive Note : Technical research note,

Corporate Author : ARMY PERSONNEL RESEARCH OFFICE WASHINGTON D C

Personal Author(s) : Sorenson,Richard C.

Report Date : JUL 1965

Pagination or Media Count : 41

Abstract : The purpose of the research is to study the feasibility of evaluating projected modifications in Army manpower management policy by means of a logical model of the officer personnel system, with special reference to the utility of such modifications for the objective of reducing turbulence. A logical model was developed to represent flow in the U. S. Army personnel system. Application of the model to the assessment of personnel policy alternatives with regard to the objective of turbulence reduction was demonstrated by introducing hypothetical allocation proportions. Certain theoretical restrictions were specified with respect to important system characteristics-type of duty tour, flow of personnel, duration of tours, allocation of personnel, alternation policy--and results of applying the particular type of model were indicated. A catalog of feasible flow constants resulting from policy alternatives concerned with allocation proportions and tour durations was prepared. The model demonstrated that it can be used to identify infeasible allocation proportions and tour durations. Results established the close interdependence of the five characteristics of the Army personnel system selected for inclusion in the model. Sensitivity of the total personnel system to slight changes in allocation proportions and tour durations was clearly evident. It was also shown that certain subgroups with a relatively large proportion of officers on short tour of duty in critical overseas areas could contribute heavily to personnel turbulence.

Descriptors :   (*ARMY PERSONNEL, PERSONNEL MANAGEMENT), (*PERSONNEL MANAGEMENT, MANPOWER), OFFICER PERSONNEL, FEASIBILITY STUDIES, MATHEMATICAL MODELS, MANAGEMENT PLANNING AND CONTROL, COMPUTERS, FACTOR ANALYSIS

Distribution Statement : APPROVED FOR PUBLIC RELEASE