2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
297
Multi-agent Simulation For Integrative Analysis Of Renewable
Energy Policy – Feed-in Tariffs Vs. Renewable
Portfolio Standards
Masaaki Suzuki, Tokyo University of Science, 2641 Yamazaki,
Noda-shi, Chiba, Japan, , Mari Ito,
Ryuta Takashima
Recently support schemes for renewable energy as renewable portfolio standards
(RPS) and feed-in tariff (FIT) have been introduced due to further penetration of
renewable energies. In this work, multi-agent simulation analysis of RPS and FIT
has been conducted. Especially, we analyze an effect of the level of RPS and FIT
price on electricity price and power output. By comparing the results obtained
from the simulation and the equilibrium analysis, we have examined an effect of
the policies on agents’ behaviors from both bottom-up and top-down viewpoints
comprehensively.
Finding Constrained Paths In Edge Colored Graphs
Marta Szachniuk, Associate Professor, Poznan University of
Technology, Institute of Computing Science, Piotrowo 2, Poznan,
60-965, Poland,
Marta Szachniuk, Associate Professor, Institute of Bioorganic
Chemistry, Noskowskiego 12/14, Poznan, 61-704, Poland,
Giovanni Felici, Gaurav Singh
Edge colored graphs are used to model various real-life problems. One of them
inspired us to define an orderly colored longest path (OCLP) problem which
amounts to finding the longest path in a graph whose edges are colored with a
given number of colors, under the constraint that the path follows a
predetermined order of colors. To solve OCLP, ILP algorithms were formulated by
means of max flow models with packing constraints and cycle elimination.
Recently, alternative formulations of the problem led to its scheduling
interpretation and proposing other variants of path with constraints. The
presentation will cover basic theoretical and computational issues concerning
above mentioned issues.
Optimal Policies For Deterioration Inventory Problems With
Multiclass Demand Fulfillment
yulu Tan, Huazhong university of science and technology, luoyu
road 1073, wuhan, China,
In this paper, we study the problem of allocating deteriorating inventory to
demand from several classes of customers when partially backlogging of unfilled
demand is possible. The customer classes are distinguished by the price they pay
for the item and their backlogging cost. The firm is able to make an allocation
decision on which demand to fill and which to delay. The unfilled demand may
then wait for later fulfillment. We describe the optimal ordering and allocating
policy in an inventory deteriorating environment. Through comparison to a naive
allocation of inventory without inventory rationing, we show that profits are
significantly influenced by the inventory allocation.
A Multiple Linear Regression Model For High Tech Talent
Retention In China
Jingjing Tong, Assistant Professor, Southeast Missouri State
University, One University Plaza, MS 6825, Cape Girardeau, MO,
63701, United States, Zhi Yang
The high tech talent is the backbone of the high tech companies and higher
institutions. It is especially important for the developing countries to maintain the
innovative capacity and seek competitive advantage during their economic
development process. The Chinese governments and organizations have
experienced significant difficulties in retaining the high tech talent in spite of their
continuous efforts. To address this issue, we apply the multiple linear regression
model to the survey data collected from 113 high tech individuals from
companies and higher institutions in China in order to identify the most effective
strategies to retain them within the organizations.
The Effect Of National Culture On Safety: A Near-miss Analysis
Xun Tong, Carlson School of Management, 425 SE 13 th Ave,
Minneapolis, MN, 55414, United States,
, Xun Tong, Business School,
The Hong Kong Polytechnic University, Hong Kong, Hong Kong,
, Kevin Linderman
We argue that near-miss events can increase the likelihood of the future serious
accident. We investigate the effect of national culture on safety by using data from
international shipping industry. Fixed-effects Poisson regression results show that
near-miss events of a ship significantly increase the likelihood of the future
serious accident while power distance, individualism, and uncertainty avoidance
levels play significant roles in moderating the hypothesized main effect. This
study shows that near-miss events lead to unlearning of the accidents and thus
increases failure likelihood in the future. It also provides evidence on the
significant effects of national culture on safety.
An Investigation On Fuzzy Aggregate Production Planning Using
Flexible Requirement Profiles
Setareh Torabzadeh, PhD Student, University of North Carolina-
Charlotte, 11000E, Diploma Dr, Charlotte, NC, 28262,
United States, , Ertunga C.Ozelkan
This paper investigates the production planning problem using a flexible
optimization approach called the Flexible Requirement Profile (FRP). FRP
determines flexible bounds on production levels in different periods based on
previous plans and forecasted demand. In this paper, a fuzzy linear programming
approach is taken to model the uncertainty of data of demand and cost
parameters in the future periods, using fuzzy membership functions. The results
of the fuzzy model is compared to a deterministic model.
Analyzing Supply Chain Resiliency To Mitigate Drug Shortages
Emily L. Tucker, University of Michigan, 1205 Beal Ave.,
Ann Arbor, MI, 48109, United States,
Mark S. Daskin, Wallace J. Hopp, Burgunda V. Sweet
Despite efforts from the FDA, pharmaceutical companies, and other stakeholders,
drug shortages continue to be a national problem. These outages can directly
affect patients’ health and are often caused by disruptions that expose
manufacturing and supply chain vulnerabilities. These disruptions can include
contamination, delays in the delivery of raw materials, and loss of the
manufacturing site. We present a preliminary model designed to maximize the
resiliency and robustness of the supply of drugs to reduce the impact of potential
shortages when there are disruptions in production. We consider uncertainty in
the occurrence of disruptions and in the recovery of manufacturing capacity.
Optimal Placement Of Inspection Points For Hazmat Routing
Harshavardhan Reddy Vempati, Student, University at Buffalo
(SUNY), 81 Merrimac St, Buffalo, NY, 14214, United States,
, Rajan Batta”
There is perennial need of hazmat material transportation for various fields.
Minimization of risk involved in road transportation of hazmat has been a
significant OR problem. We present a model for optimally placing inspection
points after every k miles to reduce the risk. However, since there is a cost
involved in setting up inspection points, our model minimizes the no. of
inspection points for a given amount of risk.
Merging Knapsack Constraints With Cover Inequalities
Fabio T Vitor, Graduate Teaching Assistant, Kansas State
University, 2061 Rathbone Hall, 1701B Platt St., Manhattan, KS,
66506, United States, Todd W Easton
Merged knapsack cover inequalities is a new class of cutting planes to solve
integer programs. This class of cutting planes combines the information from a
cover inequality and a knapsack constraint to generate strong valid inequalities.
These inequalities can also be exactly lifted through a pseudo-polynomial time
dynamic programming algorithm. The resulting exact lifted merged knapsack
cover inequality is valid and potentially stronger than the original merged
knapsack cover inequality. Computational experiments demonstrate that exact
lifted merged knapsack cover inequalities, when implemented as preprocessing
cuts, decrease the solution time by 15% and number of ticks from CPLEX by
10%.
Containership Deployment On A Liner Service
Shuaian Wang, The Hong Kong Polytechnic University, Hong
Kong, Hong Kong, , Zhiyuan Liu,
Xiaobo Qu, Lu Zhen, hongtao HU
This paper investigates how to determine the optimal sequence of ships in a string
to minimize the expected number of delayed containers taking uncertain demand
into consideration. We use the phrases “sequence of ships”, “string” and
“permutation” interchangeably. The main challenge for the problem is that it is
almost impossible to predict the probability distribution functions for the future
demand. In fact, even if we have the historical data on the demand, the data may
be of limited value because the shipping environment changes rapidly. Therefore,
a good string should be robust in that it is optimal or near-optimal for any
random demand.
Outsourcing Decisions Under Scale Effect For Competitive Firms
With Product Substitutability
Jianghua Wu, Professor, Renmin University of China, 59
Zhongguancun street, Beijing, 100872, China, ,
Qiuai Huang
This paper discusses outsourcing decisions for a supplier with scale effect and two
competitive firms(firm 1 and firm 2) with product substitutability. Based on the
profit functions, this study analyzes the effect of firm 1’s outsourcing on the
supplier and both firms, finds out the optimal outsourcing strategies and the best
wholesale prices, and compares the effects of substitutability on decision variables
before and after outsourcing. The results show that a firm may make products by
itself when its production cost is higher than wholesale price. However, a firm
may also choose to oursource production when its production cost is lower than
wholesale price.
POSTER SESSION