2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
252
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Music Row 2- Omni
Service Science in Electricity Supply
Sponsored: Service Science
Sponsored Session
Chair: Zhi Zhou, Argonne National Laboratory, Energy Systems
Division, Argonne, IL, 60439, United States,
1 - Guided Particle Swarm Optimizer For Transactive Operation Of
Interconnected Micro-grids
Yang Chen, University of Illinois at Chicago, Chicago, IL, 60607,
United States, , Mengqi Hu
Existing research has demonstrated that micro-grid clusters can freely share
energy to achieve more cost savings. However, few solution approaches are
developed to realize transactive operation for micro-grid clusters, not to mention
large scale application. To this end, we develop a scalable distributed decision
approach to study the transcative operation of micro-grid clusters where a virtual
transaction center is introduced to coordinate all the micro-grids using a particle
swarm optimizer (PSO). The dual price of local transactive energy is employed to
guide the convergence of PSO. The effectiveness of the proposed dual-price
guided PSO is demonstrated using a cluster of 256 micro-grids.
2 - Coordinated Multi-area Dispatch For Wholesale
Electricity Markets
Feng Zhao, ISO New England, Holyoke, MA, United States,
Dane Andrew Schiro, Eugene Litvinov
Wholesale regional electricity markets in the U.S. are managed by Independent
System Operators (ISOs) through tools such as Security Constrained Economic
Dispatch (SCED). The disconnection between the regional markets contradicts the
interconnected nature of the corresponding regional power systems. This entails
coordination between regional markets. This presentation describes a novel
coordination method for the multi-area SCED problem by exchanging critical
information of free variables and binding constraints. The method is also
extended to solving general large-scale linear programs with demonstrated
computational efficiency.
3 - Nuclear Plants Market Competitiveness With Flexible
Operational Capability
Zhi Zhou, Argonne National Laboratory, ,
Jesse D Jenkins, Audun Botterud
The economic viability of nuclear energy is increasingly challenged in the U.S.
deregulated electricity markets due to large availability of cheap natural gas and
increased penetration of renewables. It is critical to improve the competitiveness
of nuclear energy to maintain energy supply diversity. In this study, we
investigate the economic impact of flexible operations of a nuclear plant on its
profitability, considering reliability issues on both plant and reactor levels, under
the context of a deregulated electricity market. Case study results on a utility scale
system show that operational flexibility can not only increase a nuclear plant’s
profit, but also have benefit to the whole system.
TA55
Music Row 3- Omni
Inventory Management III
Contributed Session
Chair: Naser Nikandish, California State University Fullerton,
800 N State College Blvd, Anaheim, CA, 92806, United States,
1 - A Queueing Service Problem With MDP In Steel Slab Yard
Yanhe Jia, Student, Northeastern University, Heping Street,
Shenyang,Liaoning, 110819, China, Lixin Tang
The paper analyzes a serving storage problem of slab yard in iron and steel
enterprises. Slabs from a continuous casting stage are stored in a slab yard (as a
buffer) for further processing in a hot rolling stage. The coming slabs well be
carried by some servers-cranes, these slabs come randomly. In this paper, we
consider the slab serving storage problem to minimize the service cost. We give a
queueing model and propose a dynamic programming algorithm to present a
staffing policy.
2 - Integrating Inventory Classification And Control Decisions To
Maximize Order Fulfillment Measures
Liu Yang, Assistant Professor, Purdue University, 3000 Technology
Ave, New Albany, IN, 47150, United States, ,
Haitao Li, James F Campbell, Donald C. Sweeney
This study presents a linear optimization model that integrates inventory
classification and control decisions to maximize the order fulfillment
performance, subject to inventory budget constraint and minimum profit
requirement. The focus of the research is the order-based performance measures,
rather than the commonly used item fill rate. With the proposed models,
companies have the ability to arrange the inventory in a way to meet customer
segmentation strategy, to evaluate the tradeoff of two order-based measures and
profitability, and to simulate the impact of different levels of inventory
investment.
3 - A Partially Observed Inventory Control Problem
Satya Sarvani Malladi, PhD Student, Georgia Institute of
Technology, 2209 Briarcliff Rd NE, Apt 17, Atlanta, GA, 30329,
United States, Alan Erera, Chelsea C. White
We consider the inventory control problem with backlogging and partially
observed discrete demands. We prove the optimality of a myopic policy under a
key assumption. We present upper and lower bounds on the optimal expected
cost and a bound on the difference between the bounds.
4 - Dynamic Inventory Management Of Hybrid
Manufacturing/Remanufacturing Systems With Different
Lead Times
Tong Wang, PhD Student, The Chinese University of Hong Kong,
511D William M Engineering Building, Hong Kong,
, Xiting Gong, Xiuli Chao
In this paper, we consider an inventory management problem where a firm
replenishes its inventory from both manufacturing and remanufacturing
processes in finite periods. Production lead time for manufacturing is different
from that for remanufacturing. Besides the complete characterization of the
optimal replenishment policy, we provide some managerial insights on results as
well.
5 - Inventory Management Under Labor Constraints On Restocking
Naser Nikandish, California State University Fullerton,
800 N State College Blvd, Anaheim, CA, 92806, United States,
Lawrence W Robinson
we present a linear programming model for determining inventory replenishment
policies under limited restocking labor. We use this model to solve the restocking
problem facing a specific European supermarket. We discuss three inventory
replenishment policies and report impact of limiting labor on retailer’s
profitability. We also develop a Lagrangian Relaxation based algorithm for finding
inventory replenishment policies under one of these policies.
TA56
Music Row 4- Omni
Economics of Information Technology and
Social Media
Sponsored: EBusiness
Sponsored Session
Chair: Liangfei Qiu, Gainesville, FL, United States,
1 - Sponsored Data: Smarter Data Pricing In The Age Of Data Cap
Xiaowei Mei, University of Florida,
We investigate a recent phenomenon whereby network service providers are
encouraging content providers to sponsor data for consumers. We analyze this
phenomenon using game theory within a setting of one monopoly mobile
network operator (MNO) and two competing content providers (CPs). Consumers
are heterogeneous in both data usage and in their preference for the CPs. We find
the optimal pricing scheme for MNO is a two-part tariff without any data caps.
The CPs are in a Prisoner’s Dilemma regarding sponsored data in the sense that
they would prefer not to subsidize the consumers’ data consumption but doing so
unilaterally would put them in a relatively inferior position.
2 - Please Share! Online Word Of Mouth And
Charitable Crowdfunding
Mahdi Moqri, University of Florida, Gainesville, FL,
United States,
While online WOM is commonly used to share information about crowdfunding
campaigns, there is hitherto limited understanding as to whether or how this
information sharing affect individuals’ contribution behavior or the outcome of
crowdfunding campaigns. In this study, using a unique dataset from 590
crowdfunding campaigns observed over 12 days, we examine to what extent, and
how quickly online WOM affect the rate of contributions. In addition, we explore
the effect of different phases of fundraising (over time or as they approach their
target goals) and of the coverage of the campaigns in major online news websites.
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