2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
420
5 - An Optimized Insertion Method To Prevent Bus Bunching:
Simulation And Comparisons
Antoine Petit, U of Illinois at Urbana-Champaign,
205 N Mathews Avenue, # B156, Urbana, IL, 61801, United States,
, Yanfeng Ouyang
Bunching is an inherent problem in transit systems, due to the randomness of
passengers arrival and traffic conditions. Because maintaining regular bus
headways is critical for providing a satisfactory service to the passengers, transit
agencies developed strategies to mitigate this problem. Although convenient,
those methods fall short if they were not optimized. This work proposes an
optimized bus insertion approach to prevent bus bunching, by minimizing the in-
vehicle travel time and the agency costs. Managerial decisions will include the
location and size of the idling fleet, and the headway threshold to put the extra
buses in service.
WB71
Electric- Omni
Game Theory II
Contributed Session
Chair: Meilin He, University at Buffalo, SUNY, 4291 Chestnut Ridge Rd.
Apt 5, Buffalo, NY, 14228, United States,
1 - Cooperative Game Theory Applied To Clusters Competitive Value
Dionicio Neira, Universidad de la Costa, CUC, Barranquilla,
Colombia, Daniela Carolina Landinez,
Diana Gineth Ramirez-Ríos, Luis Eduardo Ramirez
This research is based on the analysis of supply chains in clusters, where it is
known that the competitiveness of the company participating in the cluster
contributes to the cluster’s competitive value as a whole. This paper proposes
cooperative game theory to suggest the contribution of these companies, which is
based not only on its individual competitiveness but also on its willingness to
cooperate. Shapley value was calculated to obtain a solution that is both stable
and feasible for the companies involved.
2 - An Evolutionary Stochastic Multi Agent Game To Forecast The
Procurement Of Food Grains From Farmers In a Public
Distribution System
Sankaranarayanan G, Research Scholar, IIT-Kharagpur, B-121 Sir
Acharya Jagadish Chandra Bose, IIT-Kharagpur Campus,
Midnapore, 721302, India,
Sri Krishna Kumar, Manoj Kumar Tiwari
A stochastic multi-agent evolutionary game is proposed to obtain forecast of the
procurement of food grains in a public distribution system for effective decision
making in supply chain planning and ensuring preparedness in presence of
Interdictions.
3 - Regret-optimal Strategies For Playing Repeated Games With
Discounted Losses
Vijay Kamble, Stanford University, Stanford, CA, United States,
The regret-minimization paradigm has emerged as a powerful technique for
designing algorithms for online decision-making in adversarial environments. But
so far, designing exact minmax-optimal algorithms for minimizing the worst-case
regret has proven to be a difficult task in general, with only a few known results
in specific settings. In this paper, we present a novel set-valued dynamic
programming approach for designing such exact regret-optimal policies for
playing repeated games with discounted losses. As an illustration of our approach,
we design the first known near-optimal strategy for prediction using expert advice
for the case of 2 experts and discounted losses.
4 - An Attacker-defender Resource Allocation Game With
Complementary Or Substituting Effects
Meilin He, University at Buffalo, SUNY, 4291 Chestnut Ridge Rd.
Apt 5, Buffalo, NY, 14228, United States,
Jun Zhuang
This work develops a game-theoretical model for the government’s resource
allocations facing with strategic attackers, with consideration of the
complementary or substituting effects. We study how the joint effectiveness and
the uncertainty of the interactions between different security programs influence
the defender’s and the corresponding attacker’s strategies. Then we explore the
dynamics between defender and attacker. We provide numerical illustrations
using real data, then compare the results of the models with and without the joint
effectiveness coefficient. Finally, we conduct the sensitivity analysis. This research
helps provide new insights into security budget allocation.
WB72
Bass- Omni
Supply Chain Mgt XIV
Contributed Session
1 - The Effect Of Store-Induced Returns on Warehouse Store
Supply Chain
Hao-Wei Chen, San Jose State University, San Jose, CA, 95125,
United States, , Wen-Ya Wang
In a warehouse clubs supply chain, the suppliers are usually responsible for any
cost induced by merchandise returns. When a product has a higher than usual
return rate, a store may strategically ask other customers to return their same
purchases voluntarily in order to maintain store reputation. We study how such a
strategy affect the quality of the product provided by the supplier and the profits
of the supplier and the retailer.
2 - The Impact Of 3D Printing On Spare Parts Management
Jakob Heinen, PhD Candidate, Kühne Logistics University,
Großer Grasbrook 17, Hamburg, 20457, Germany,
, Kai Hoberg
Based on logistical decision parameters and supply chain performance criteria, the
research aims to identify spare parts that offer a potential for 3D printing. A
theoretical model is developed contrasting subtractive (conventional) production
with inventories against a production using 3D printers with no or highly reduced
inventories. In calculating the optimal inventory policies for both manufacturing
approaches, we identify cost settings where additive manufacturing is preferable
over traditional manufacturing. In addition, a large data set of spare part
inventory and demand data is utilized to provide a use case for the introduced
model.
3 - Outsourcing With Learning-by-doing: The Case Of Two Oems
Min Wang, Drexel University, 3220 Market Street, Philadelphia,
PA, 19104, United States, , Wenjing Shen
In this paper, we consider two OEMs outsourcing to a single powerful CM, and
both OEMs and CM can learn from production to reduce future cost. We show
that even if the two OEMs do not compete with each other, the presence of
another OEM outsourcing to the same CM can have a significant impact on an
OEM.
4 - Robust Optimization Of The Beer Distribution Game Incorporating
Uncertainties In Forecasted Customer Demand
Adarsh Elango, Application Engineer, ESTECO North America,
39555 Orchard Hill Place, Suite 457, Novi, MI, 48375, United
States, , Saket Kansara, Zhendan Xue
This paper introduces a novel concept of adding uncertainty over the customer
demand cycle to the well-known theoretical example - Beer Distribution Game.
The added uncertainties make the model a closer representation of the real
market dynamics. A robustness assessment as well as a robust optimization
approach is used to determine the best ordering policies across an entire supply
chain. Various optimization formulations such as single objective and multi-
objective have been compared using traditional and robust optimization
approaches.
WB73
Legends A- Omni
Operations Management VI
Contributed Session
Chair: Xiaochun Feng, Dalian University of Technology, No.2 Linggong
Road, Ganjingzi District, Dalian, 116024, China,
1 - Coauthor Network Analysis Of Operations Management Journals
Bonie(He) Zhang, PhD Candidate, Rutgers University,
1 Washington Park, # 196 Mailbox, Newark, NJ, 07102, United
States, Yao Zhao
We study the co-author network of flag-ship INFORMS journals in operations
management such as Management Science and Operations Research. We present
our modeling approach and our empirical exploration characterizes the changing
patterns of the co-author network and provides insights to authors on how to
improve productivity through exploitation of the academic social network.
WB71