Automated Adaptive Modeling in Big Data Recommender Systems: The Case of Mobile Ad Placement

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Authors
Kridel, Donald
Dolk, Daniel
Subjects
Advisors
Date of Issue
2015-03
Date
Publisher
WDSI
Language
Abstract
Product recovery and remanufacturing often requires refitting an existing forward distribution network with additional capabilities to provide such reverse logistics functions as collection, disassembly, remanufacturing, and disposal. The resulting network structure forms a link between two markets, namely a “supply market” from which used products are collected and a “demand market” in which remanufactured products are sold. Both markets coincide to form closed-loop flows of used and remanufactured products thus giving rise to the coordination issue of mismatch between supply and demand in terms of timing and quantity. This paper proposes a stochastic mixed integer programming model that takes into consideration the supply and demand uncertainties in a multi-period planning horizon and simultaneously solves for the location and capacity of the disassembly and remanufacturing facilities, the production, shipment and stocking of the optimal quantities of remanufactured products and cores.
Type
Conference Paper
Description
Presented at Western Decision Sciences Institute (WDSI 2015) conference March 31- April 3, 2015
Series/Report No
Department
Business & Public Policy (GSBPP)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
6 p.
Citation
Distribution Statement
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.
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