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INFORMS Nashville – 2016

37

SA57

Music Row 5- Omni

Topics in Behavioral Operations Management

Sponsored: Behavioral Operations Management

Sponsored Session

Chair: Ruth Beer, Indiana University, Kelley School of Business,

Bloomington, IN, United States,

ruthbeer@indiana.edu

1 - An Experimental Investigation Of Managing Quality Through

Monetary And Relational Incentives

Andrew M. Davis, Cornell University,

adavis@cornell.edu

,

Kyle Hyndman

We investigate indirect and direct incentives for managing the quality of a product

in a two-tier supply chain. In our study, a retailer pays a supplier for a product,

where the supplier can choose to exert high effort, which is costly but guarantees

high quality, or low effort, which does not assure high quality. We consider

scenarios where the retailer pays the supplier a fixed fee, or a combination of a

fixed fee and conditional bonus, which is only paid to the supplier when high

quality is received. We evaluate these scenarios in both one-shot and repeated

environments and find that different incentives can significantly influence the

quality of a product.

2 - The Supplier’s Dilemma: Buyback Contracts In A

Competitive Setting

Anna Devlin, University of Alabama in Huntsville,

agd0008@uah.edu

This research studies the performance of buyback (BB) and wholesale price (WP)

contracts when a single newsvendor retailer purchases products from two

suppliers competing for retailer effort. We determine that a profit-maximizing

retailer’s effort allocation differs by contract pair offered by the suppliers,

impacting supplier profits and equilibrium decisions. If demand uncertainty is low

the difference in retailer effort across contract pairs minimally impacts profits and

both suppliers offer BB contracts in equilibrium. However if demand uncertainty

is high this effort allocation disparity creates a “prisoner’s dilemma” for the

suppliers and both will offer WP contracts in equilibrium.

3 - Stagnant Leader Or Fast Improver? The Impact Of Transparency

On Consumers’ Purchase Behavior

Yanchong Zheng, Massachusetts Institute of Technology,

yanchong@mit.edu

Ryan Buell, Shwetha Mariadassou

We study how consumers’ purchase behavior may be influenced by a company’s

information transparency in its sustainability performance. We consider

interaction between transparency and two types of information: current

performance level and changes in performance. Our results yield important

insights about a company’s transparency strategy in the marketplace.

4 - How Negotiatons Improve Performance In The Buyback Contract

Elena Katok, University of Texas at Dallas, 800 W. Campbell Rd.,

Jindal School of Management (SM30), Richardson, TX, 75080,

United States,

ekatok@utdallas.edu

, Michael Becker-Peth,

Ulrich Thonemann

We conduct a lab experiment to analyze how negotiations affect performance of a

buyback contract. We show that adding a negotiation phase in a human-human

setting improves performance significantly if negotiation agreements are reached.

These Agreements result in almost full SC efficiency (0.97) and the profit split is

fairly equal (0.54 to 0.46). We analyze the underlying drivers of successful

negotiations which are both, personal and procedural.

SA58

Music Row 6- Omni

Energy I

Contributed Session

Chair: Arnab Roy, PhD Student, University of Louisville,

2719 South 4th Street, Apt. #2, Louisville, KY, 40208, United States,

arnab.roy@louisville.edu

1 - Modeling The North American NGL Market In A Low Oil And Gas

Price Environment

Robert Brooks, Founder, RBAC Inc, 14930 Ventura Boulevard,

Suite 210, Sherman Oaks, CA, 91403, United States,

rebrooks@rbac.com

The last decade’s “shale gas revolution” recreated the US natural gas and oil

industry. It also revitalized the natural gas liquids business and promised to do the

same for petrochemicals. But runaway production combined with slowed demand

growth has resulted in a collapse of prices for all of these commodities world-

wide. How can one make rational predictions about the future of the North

American NGL market under these conditions? NGL-NA is a model of the North

American market for natural gas liquids. The presentation will describe the model

and results from recently run scenarios.

2 - Fuel Procurement Strategy With Inventory Consideration For

Electric Power Utilities

Chung-Hsiao Wang, LG&E and KU, 102 Spruce Lane, Louisville,

KY, 40207-1701, United States,

chunghsiao@hotmail.com

,

K Jo Min

In recent years, natural gas combined cycle power plants have started to replace

aging and less efficient coal power plants. Furthermore, due to cheap natural gas

prices, economic dispatching has resulted in high coal inventory levels. Under

these circumstances, in this paper, we develop mathematical models for

structured and analytical guidelines on fuel procurement strategies for a utility

owning both natural gas and coal generation units.

3 - Modeling And Analysis Of Remote, Off-grid Microgrids

Sreenath Chalil Madathil, Doctoral Candidate, Clemson University,

110 Freeman Hall, Clemson, SC, 29634, United States,

schalil@g.clemson.edu

, Emre Yamangil, Harsha Nagarajan,

Arthur K Barnes, Russell Bent, Scott Backhaus, Scott J. Mason,

Salman Mashayekh, Michael Stadler

We develop a mixed-integer, quadratically-constrained quadratic program for

minimizing total installation and operation costs of remote off-grid microgrids

with renewable and non-renewable energy sources under N-1 contingencies and

one day time horizon. We compare various relaxations for this NP-Hard problem

and present efficient decomposition algorithms for our problem. We model the

nonlinear efficiency curves associated with these devices using a piecewise linear

approximations and demonstrate the efficiency of proposed relaxation and

decomposition methods using benchmark test problems.

4 - An Empirical Study On A Demand Response Program With

Battery Storage Systems

Arnab Roy, PhD Student, University of Louisville, 2719 South 4th

Street, Apt. #2, Louisville, KY, 40208, United States,

arnab.roy@louisville.edu

, Prajwal Khadgi, Lihui Bai

Demand response (DR) in smart grid aims to reduce peak load, thus the needs for

ancillary services in generation. On the other hand, any DR programs must be

implemented with incentives to ensure consumers’ active engagement. In this

paper, we investigate the effects of the DR implementation measures by one

utility company on the load consumption of approximately 300 homes. The DR

measures include the introduction of an innovative residential rate structure,

direct load control, installation of efficient heat pump water heaters, and reliable

utility-grade power storage systems.

SA59

Cumberland 1- Omni

Electrification in Transportation

Sponsored: Transportation Science & Logistics

Sponsored Session

Chair: Mohammad Esmaeil Khodayar, Southern Methodist University,

6425 Boaz Lane, Dallas, TX, 75205, United States,

mkhodayar@smu.edu

1 - Network Design For In-motion Wireless Charging Of Electric

Vehicles In Urban Areas

Mamdouh Mubarak, Southern Methodist University,

mmubarak@smu.edu

, Halit Uster, Khaled Abdelghany,

Mohammad Esmaeil Khodayar

We present a model to optimize the location and power capacity of in-motion

electric charging stations. We formulate the problem as a MIP and we propose a

Benders-decomposition-based algorithm to solve it efficiently. We present the

computational results of testing the algorithm on large-scale grid networks.

2 - Deployment Of Stationary And Dynamic Charging Infrastructure

For Electric Vehicles Along Traffic Corridors

Zhibin Chen, University of Florida, Gainesville, FL, United States,

zhibinchen@ufl.edu

, Yafeng Yin, Wei Liu

This paper optimizes a deployment plan of dynamic and stationary charging

facilities along a traffic corridor to serve the charging need of electric vehicles with

the minimum social cost. The deployment plan will specify the number of

charging stations, the number of chargers installed at each station, the lengths of

dynamic charging lanes, and charging prices of charging stations and lanes.

SA59