American Journal of Operations Research

American Journal of Operations Research

ISSN Print: 2160-8830
ISSN Online: 2160-8849
www.scirp.org/journal/ajor
E-mail: ajor@scirp.org
"Forecasting Spare Parts Demand Using Statistical Analysis"
written by Raghad Hemeimat, Lina Al-Qatawneh, Mazen Arafeh, Shadi Masoud,
published by American Journal of Operations Research, Vol.6 No.2, 2016
has been cited by the following article(s):
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[11] Innovation in Scientific Knowledge Based on Forecasting Assessment: A Case Study on Automotive Spare Parts Demand
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[12] Performance Measurement System for Automotive Spare Parts Supply Chain: A Categorization Approach
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[13] Reduce the variance and duration of outsourced repair lead times
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[14] Demand Forecasting of Anti-Aircraft Missile Spare Parts Using Neural Network
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[15] Intermittent demand forecasting for aircraft inventories: a study of Brazilian's Boeing 737NG aircraft´ s spare parts management
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[16] Journal of Transportation and Logistics
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[17] Improving the service control tower with proactive decision making: a two-staged alert and intervention generating model for proactive lateral transshipments in an …
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[18] Minimizing the uncertainty in business operations through demand forecasting: A structural-literature-review
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[19] ANALYSIS OF MAINTENANCE SPARE PARTS MANAGEMENT FOR AGRICULTURAL AND TRANSPORT MACHINERY 8
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[20] Automobile spare-parts forecasting: A comparative study of time series methods.
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[21] MPREDSTOCK: Modelo multivariado de predicción del stock de piezas de repuesto para equipos médicos
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