Informs 2015

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INFORMS Philadelphia – 2015
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3 - Replenishment and Fulfillment Based Aggregation for General
Assemble-to-Order Systems
Emre Nadar, Assistant Professor, Bilkent University, Department
of Industrial Engineering, Bilkent University, Ankara, Turkey,
, Alan Scheller-wolf, Alp Akcay,
Mustafa Akan
We present an approximate dynamic programming method to optimizing
Markovian assemble-to-order systems. We alleviate the computational burden by
reducing the large state space of the problem via a novel aggregation method that
builds upon certain component and product characteristics. We show the
optimality of a lattice-dependent base-stock and rationing policy for the aggregate
problem. We also derive finite error bound for the cost function of the aggregate
problem under a mild condition.
4 - Optimal Manufacturing Policies for Engineer-to-Order Proteins
Tugce Martagan, Eindhoven University of Technology, 5600 MB
Eindhoven, Eindhoven, Netherlands, ,
Ananth Krishnamurthy
We develop continuous state Markov decision models to optimize design
decisions related to protein purification operations. We focus on engineer-to-
order proteins with strict production requirements on quality and yield. We
present a state aggregation mechanism to solve industry-size problems. Our
models and insights are implemented in practice.
TD24
24-Room 401, Marriott
Social Network Analytics
Sponsor: Artificial Intelligence
Sponsored Session
Chair: Xi Wang, The University of Iowa, S343 PBB, Iowa City, IA,
52242, United States of America,
1 - Optimizing Hurricane Warning Dissemination Problem for
Evacuation Decision Making
Dian Sun, Harbin Engineering University, 172 Princeton Ave.
Apt 1, Buffalo, NY, 14226, United States of America,
, Yan Song, Zifeng Su
Individual make evacuation decisions based on risk perception which can be
socially influenced as evacuation warnings spread through social networks. In this
study a formal model for evacuation warning dissemination in social networks
through time is presented to characterize the social influence of the risk
perception in the evacuation decision making process. Simulation models are
developed to investigate the effects of community mixing patterns and the
strength of ties on evacuation decision.
2 - Inferring User Location from Geographic and Social Network
Da Xu, PhD Student, University of Utah, 1032 E 400 S, Apt 504B,
Salt Lake City, UT, 84102, United States of America,
, Xiao Fang
The lack of tools to monitor the time-resolved locations of individuals constrains
us to gain a deep understanding of human mobility. While, despite the diversity
of people’s travel history, human mobility follows a high of temporal and spatial
regularity. In this paper, we study the human mobility through social and
geographic networks, give a deep insight to how individual mobility pattern and
social network impact with each other, and build a probabilistic model to depict
human mobility.
3 - Concurrent Diffusions of Information and Behaviors in Online
Social Networks
Shiyao Wang, University of Iowa, 634 Westgate St. Apt. 55,
Iowa City, IA, 52246, United States of America,
, Kang Zhao
Using the spread of the Ice Bucket Challenge (IBC) on Twitter as a case study, this
research compared the concurrent diffusion patterns of both information and
behaviors in online social networks. Individual behaviors related to IBC were
detected by text mining techniques. Comparison between diffusion dynamics of
information and behaviors at different levels revealed interesting differences and
interactions between the two diffusion processes and laid foundations for future
analytics.
TD25
25-Room 402, Marriott
Economic Models and Analysis of Networks
and Platforms
Sponsor: Information Systems
Sponsored Session
Chair: Soumya Sen, University of Minnesota, Minneapolis, MN,
United States of America,
1 - Payments for Transactions Versus Payments for Discoveries:
Theoretical Analyses
Karthik Kannan, Purdue University, 403 W.State Street,
West Lafayette, IN, 47907, United States of America,
, Rajib Saha
in the U.S. charges payments for transactions but in China
charges for discoveries. We theoretically study such payment schemes used by the
platforms. We surprisingly find that when payments are for discoveries, the
platform has an incentive to make welfare-decreasing matches between sellers
and buyers. Similarly, in order for payments for transactions to be sustained,
buyers and sellers should sufficiently value factors such as trust provided by the
platform.
2 - The Impact of Online Word of Month on Channel
Disintermediation for Information Goods
Brian Lee, University of Connecticut, 2100 Hillside Road Unit
1041, Storrs, CT, 06268, United States of America,
Xinxin Li
With the advance in digital technology, creators of intellectual products can sell
their work directly to consumers without the help of publishers. In this study, we
construct an analytical model to examine the role of online word of mouth
(eWOM) in this trend of disintermediation. We find that eWOM may encourage
creators to reintermediate publishers for high quality work. Our model makes
predictions on when eWOM benefits publishers and for what types of
products/creators it has the most impact.
3 - Electric Vehicle Power Plants: Carsharing Optimization with
Smart Electricity Markets
Micha Kahlen, Erasmus University Rotterdam, Burgemeester
Oudlaan 50, Rotterdam, Netherlands, , Wolf Ketter
We study electric vehicles as power plants to bridge weather dependent energy
shortages from wind and solar energy. Particularly, we are interested in the
allocation of electric vehicles by making a trade-off between driving and storing
electricity. This allocation is optimized in a first-price sealed bid auction with
pricing signals from smart electricity markets and the availability of electric
vehicles. Results show positive effects for drivers, carsharing operators, and the
environment.
4 - Should You Go with ``Pay as You Go’’?:
Optimal Design of Bucket Plans for Multi-unit Goods
Manish Gangwar, Assistant Professor, ISB, ISB Campus,
Gachibowli, Hyderabad, India,
Hemant Bhargava
Among the class of nonlinear tariffs, “Three Part Tariff” is the most general tariff
but it tends to focus on heavy users. Given the evident optimality of a bucket
plan, we ask what are the pros and cons of alternative pricing models? We derive
the closed-form expressions for commonly used demand function and specify a
system of equations with economic interpretation for the general problem. We
also examine the properties of optimal “Three Part Tariff” in the presence of a per-
unit plan.
TD25