Analysis and evaluation of forecasting methods and tools to predict future demand for secondary chemical-biological configuration items
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Authors
Ritchey, Chris D.
Subjects
Simple Regression Analysis
Exponentially Weighted Moving Average
Demand Planning
Forecasting Demand
Acquisition Lead Time
Economic Order Quantity
Just-in-Time Inventory Management
Exponentially Weighted Moving Average
Demand Planning
Forecasting Demand
Acquisition Lead Time
Economic Order Quantity
Just-in-Time Inventory Management
Advisors
Olwell, David
Wheeler, John W.
Date of Issue
2013-06
Date
Jun-13
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
As the Engineering Support Activity (ESA) for numerous consumable Chemical Biological items managed by the Defense Logistics Agency (DLA), Edgewood Chemical Biological Center (ECBC) must be able to complete reviews of all procurement packages within 15 calendar days. With such little lead time, it would be very beneficial if ECBC had the ability to forecast when DLA procurement actions will occur. This thesis presents an evaluation of the effectiveness of Simple Regression and Exponentially Weighted Moving Average (EWMA) forecasting models to predict the demand of Chemical Biological consumable items using the procurement history data for four specific items. Neither forecasting model proved effective at predicting the demand for the items due in large part to large variation in demand patterns. The inventory policies and supply issues which currently exist at an Army production site were investigated and it was recommended to consider Economic Order Quantity (EOQ) or Just-in-Time (JIT) inventory management models as possible alternatives to achieve smoother demand patterns. Additionally, recommendations were made to examine the integrity of the historical demand data as well as using a Multiple Regression forecast model with several causal effects in addition to time.
Type
Thesis
Description
Series/Report No
Department
Systems Engineering (SE)
Organization
Identifiers
NPS Report Number
Sponsors
Funding
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.