Statistical Problems in Inventory Control.

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Abstract:

As part of the on-going research program in Decision Control Models in Operations Research, this work has investigated the behavior of multi-item inventory control systems in which the underlying demand distributions are estimated from a limited sample of historical observations. Particular stress is placed on evaluating how well simple-to-use replenishment rules operate in an uncertain environment. The research approach employes both mathematical analysis and time series methods for computer simulations.

Author(s):
Maccormick, Alastair
Author Organization(s):
YALE UNIV NEW HAVEN CONN SCHOOL OF ORGANIZATION AND MANAGEMENT
Descriptive Note:
Technical rept.,
Supplementary Note:
Sponsored in part by Contract N00014-75-C-0241, and Grant DAHC04-75-G-0079. Report on Decision Control Models in Operations Research. See also Appendices to Technical Report No. 2, AD-A007 556.
Pagination:
0279

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
TR-2
Contract/Grant Number(s):
N00014-67-A-0097-0029, DAHC04-74-G-0088
Project Number(s):
ARO-P-11639-M, DA-1-T-161102-B-14-C
 Subject Terms
Communities of Interest:
No COI(s) Identified
Descriptor(s):
*STATISTICAL ANALYSIS, *INVENTORY CONTROL, MATHEMATICAL MODELS, COMPUTERIZED SIMULATION, EXPERIMENTAL DESIGN, TIME SERIES ANALYSIS, MATHEMATICAL PREDICTION, DECISION THEORY, MARKOV PROCESSES, DISTRIBUTION FUNCTIONS, MULTIPLE OPERATION, LEAD TIME, REPLENISHMENT
Field(s)/Group(s):
Administration and Management, Operations Research
Keyword(s):
Reordering, Demand(Economics)
Report Date:
1974 Dec 01