Accession Number : ADA291757

Title :   Forecasting DLA Supply Management Business Base.

Descriptive Note : Final rept.,

Corporate Author : DEFENSE LOGISTICS AGENCY RICHMOND VA OPERATIONS RESEARCH AND ECONOMIC ANALYSI S MANAGEMENT SUPPORT OFFICE

Personal Author(s) : Carolan, Marc B.

PDF Url : ADA291757

Report Date : SEP 1994

Pagination or Media Count : 43

Abstract : The Defense Logistics Agency (DLA) is the primary worldwide supplier of consumable items and repair parts to the Department of Defense (DoD).It also provides logistics support to other government agencies as requested. Decreases in the DoD budget, base closures, declining military personnel resources, streamlining initiatives, and many other factors combine to drastically effect DLA's business base. The Material Management directorate within DLA requires a model to forecast indicators of workload in order to assist in corporate strategic planning and resource allocation in the area of supply management. The model encompasses four hardware centers supplying construction, electronic, general, and industrial items. Annual sales from these centers exceed $3 billion. Indicators of workload included in the forecast are gross demand, supply support requests, and gross sales. This project discusses development of the model and evaluation of the forecasts. Included are the various methodologies considered, assessment of independent variables, and application of the forecasts within DLA.

Descriptors :   *LOGISTICS SUPPORT, *LOGISTICS MANAGEMENT, *DEFENSE PLANNING, MATHEMATICAL MODELS, MILITARY PERSONNEL, DEPARTMENT OF DEFENSE, MILITARY REQUIREMENTS, INDUSTRIES, COMMERCE, MANAGEMENT PLANNING AND CONTROL, CORPORATIONS, MODELS, PROBABILITY, FORECASTING, MANPOWER, REPAIR, ALLOCATIONS, RESOURCES, CONSUMPTION, RESOURCE MANAGEMENT, MILITARY APPLICATIONS, INVENTORY CONTROL, WORKLOAD, MILITARY PLANNING, INDICATORS, MILITARY BUDGETS, SPARE PARTS.

Subject Categories : Logistics, Military Facilities and Supplies
      Military Operations, Strategy and Tactics
      Administration and Management
      Statistics and Probability
      Operations Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE