Search

Dmitriy Belyi

from Austin, TX
Age ~43

Dmitriy Belyi Phones & Addresses

  • 610 Franklin Blvd, Austin, TX 78751 (512) 467-4940
  • 3111 Tom Green St, Austin, TX 78705 (512) 527-3386 (512) 542-4026
  • 3110 Red River St, Austin, TX 78705
  • Seattle, WA
  • 5470 Braesvalley Dr #300, Houston, TX 77096 (713) 721-8215
  • Moorpark, CA

Resumes

Resumes

Dmitriy Belyi Photo 1

Principal Research Scientist

View page
Location:
Austin, TX
Industry:
Logistics And Supply Chain
Work:
Amazon.com since Jun 2010
Operations Research Scientist

The University of Texas at Austin Sep 2007 - Aug 2010
PhD student

University of Texas Jan 2007 - Aug 2010
Graduate Research Assistant

South Texas Project Nuclear Operating Company May 2009 - Aug 2009
Intern

University of Texas Sep 2004 - May 2008
Teaching Assistant
Education:
UNIVERSITY OF TEXAS 2007 - 2010
PhD, Operations Research
The University of Texas at Austin 2004 - 2007
MS, Operations Research
The University of Texas at Austin 2000 - 2004
BS, Computer Science
Skills:
Algorithms
Optimization
Statistics
Machine Learning
Programming
Operations Research
Data Analysis
Data Mining
Java
C++
Mathematical Modeling
Stochastic Optimization
Applied Probability
Perl
R
Languages:
Russian
Dmitriy Belyi Photo 2

Dmitriy Belyi

View page
Dmitriy Belyi Photo 3

Dmitriy Belyi

View page

Publications

Us Patents

Systems And Methods For Allocating Inventory In A Fulfillment Network

View page
US Patent:
8620707, Dec 31, 2013
Filed:
Jun 29, 2011
Appl. No.:
13/172153
Inventors:
Dmitriy Belyi - Seattle WA, US
Xiao Yu Li - Seattle WA, US
Assignee:
Amazon Technologies, Inc. - Reno NV
International Classification:
G06Q 10/00
US Classification:
705 712, 705 711, 705 723, 705 28, 705 29
Abstract:
Systems and methods systems and methods for allocating inventory in a fulfillment network are disclosed. In some embodiments, a method may include identifying orders fulfilled by a fulfillment center, where each of the identified orders specifies one or more of a plurality of items. The method may also include determining, for each identified order, a probability that the identified order will occur in the future and calculating, for each identified order, a cost savings. Items may then be selected based, at least in part, upon the determined probability and cost savings of each identified order. Additionally or alternatively, a method may include, for a selected item, receiving a customer demand forecast, determining a bind factor, and calculating a target inventory for the selected item to be stored in the fulfillment center based, at least in part, upon the customer demand forecast and the bind factor.
Dmitriy Belyi from Austin, TX, age ~43 Get Report