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INFORMS Philadelphia – 2015

226

4 - The Trade-off Between Market Efficiency and Compensation

Payments in Unit Commitment Problems

Daniel Huppmann, Postdoctoral Fellow, Johns Hopkins

University, German Institute for Economic Research (DIW

Berlin), 3400 N. Charles St., Baltimore, MD, 21218, United States

of America,

dh@dergelbesalon.at,

Sauleh Siddiqui

We apply an exact solution method for binary equilibrium problems to a large-

scale power market unit commitment problem based on a realistic dataset. We

illustrate the trade-off between efficient market operations (least-cost dispatch)

against the budget required for compensation payments to guarantee incentive-

compatibility of all market participants. The results are contrasted with prices and

dispatch according to the current practice in market operation.

MC62

62-Room 112A, CC

Operations Management with Carbon Restrictions

Environmental Concerns

Sponsor: ENRE – Environment I – Environment and Sustainability

Sponsored Session

Chair: Ulku Gurler, Professor, Ihsan Dogramaci Bilkent University,

Industrial Engineering Department, Ankara, 06800, Turkey,

ulku@bilkent.edu.tr

Co-Chair: Emre Berk, Bilkent University, Management Faculty, 06800

Bilkent, Ankara, Turkey,

eberk@bilkent.edu.tr

1 - Supply Chain Coordination with Resource Constraints:

Analysis of Buyback and Target Rebate Contracts

A. Serdar Simsek, Cornell ORIE, 282 Rhodes Hall, Ithaca, NY,

14853, United States of America,

as2899@cornell.edu,

Ulku Gurler, Malek Ebadi

We analyze certain supply chain contracts under resource constraints such as

carbon emission or cash constraints. We consider a setting where both the

manufacturer and the retailer can trade with their available resources in the

marketplace after they decide the order quantities and analyze the range of

buyback and target rebate contract parameters that would achieve coordination

and the resulting profit share structure. We also provide extensive numerical

analysis to study some practical cases.

2 - Multiple Input Newsvendor Ploblem with Environment

Concious Customers

Ulku Gurler, Professor, Ihsan Dogramaci Bilkent University,

Industrial Engineering Department, Ankara, 06800, Turkey,

ulku@bilkent.edu.tr

, Nazli Sonmez

In this work the inventory replenishment problem of a newsvendor with

multiple inputs is considered when the customers have environmental concerns.

In particular, it is assumed that the carbon emission of the final product is a

function of the carbon emissions of the inputs and the customer demand

decreases with the product’s carbon emissions. The optimal order quantity of the

newsvendor is investigated and some numerical results are provided.

3 - Technology Selection for Production Firms in a Carbon Economy

Emre Berk, Bilkent University, Management Faculty, 06800

Bilkent, Ankara, Turkey,

eberk@bilkent.edu.tr

, Onurcan Ayas

In this study, we address public policy structures and their implications on

technology selection decisions for product design and pollution abatement in the

presence of carbon emission restrictions and carbon markets. We consider a

number of demand/utility functions to capture the firm behavior. We model

technology primarily as a knowledge-based input in a multi-input setting. We

provide some analytical results on technology enhancement conditions and

illustrative numerical examples.

4 - How to use Data Analytics for Smarter Energy Management

Ozge Islegen, Assistant Professor, Northwestern University,

Kellogg School of Management, 2001 Sheridan Road,

Evanston, IL, 60208, United States of America,

o-islegen@kellogg.northwestern.edu

The electricity industry has recently enjoyed the influx of “big data”. Through

smart grid technologies, many firms now have access to the consumption

behavior of their customers in unprecedented detail. This talk demonstrates how

firms use this data to design effective demand side management programs to

change the consumption behavior of their customers.

MC63

63-Room 112B, CC

Advanced Manufacturing II

Sponsor: Advanced Manufacturing

Invited Session

Chair: Binil Starly, Associate Professor, North Carolina State University,

406 Daniels Hall, Raleigh NC 27607, United States of America,

bstarly@ncsu.edu

1 - Out-of-plane Geometric Error Prediction for

Additive Manufacturing

Qiang Huang,Associate Professor, University of Southern

California, GER 240, USC, Los Angeles CA,

United States of America,

qiang.huang@usc.edu

, Yuan Jin

We aim to establish a methodology to predict the out-of-plane geometric error

prediction in additive manufacturing processes. We provide a novel spatial

deviation formulation in which both in-plane and out-of-plane errors are placed

under a consistent mathematical framework. The derived predictive model for

out-of-plane errors is validated through experimentation using a

stereolithography process.

2 - Engineering of Surface Microstructure using Severe Plastic

Deformation in Machining

Sepideh Abolghasem,Postdoctoral Researcher, Universidad de los

Andes, Carrera 1 Este # 19 A - 40, Bogota, Colombia,

sea40@pitt.edu

, Raha Akhavan-Tabatabaei,

Meenakshisundar Ravi Shankar, Roberto Zarama Urdaneta

Severe Plastic Deformation leads to surface microstructures with enhanced

properties, which is unfortunately limited by poorly elucidated process-

parameters linkages. While research in manufacturing has been traditionally

dedicated to phenomenological models, here the effort is to bridge these gaps

through understanding the underlying physics of materials and application of

statistical techniques. This will provide a powerful tool for microstructure

prediction, control, and optimization.

3 - Cellular Biomanufacturing: Expansion of Stem Cells in Rotating

Wheel Bioreactors

Binil Starly,Associate Professor, North Carolina State University,

406 Daniels Hall, Raleigh NC 27607, United States of America,

bstarly@ncsu.edu

Stem cells are critical components of regenerative medicine therapy. However, the

therapy will require millions to billions of therapeutic stem cells. To address the

need, we have recently cultured stem cells in 3D microgels and use them as a

vehicle for cell expansion within a low shear stress rotating wheel type bioreactor

within a 500ml volumetric setting. This study specifically highlights the cell

encapsulation, harvesting and operation of microbeads within a dynamic

bioreactor environment.

MC64

64-Room 113A, CC

Behavioral Decision Analysis

Sponsor: Decision Analysis

Sponsored Session

Chair: Johannes Siebert, University of Bayreuth, Bayreuth, D-95440,

Germany,

Johannes.Siebert@uni-bayreuth.de

1 - Bayes and Prejudice

Detlof Von Winterfeldt, Professor, University of Southern

California, Viterbi School of Engineering, Industrial and Systems

Engineering, Los Angeles, CA, 90089,

United States of America,

winterfe@usc.edu

When judging probabilities, people ignore statistical base rates. For example,

when judging the likelihood of fatal pitbull attacks, they think of dramatic

examples, ignoring the fact that fatal dog attacks are very rare, by pitbulls or other

breeds. Ignoring base rates explains prejudice against minorities among dogs and

humans.

2 - Debiasing Overconfidence

Valentina Ferretti, Politecnico of Torino, Corso Castelfidardo

30/A, Torino, Italy,

valentina.ferretti@polito.it

, Sule Guney,

Gilberto Montibeller, Detlof Von Winterfeldt

Overconfidence is a persistent and difficult to correct bias in decision and risk

analysis. We conducted an experiment to test the effectiveness of several best

practices to reduce this bias. The results suggest that changing the stimulus-

response mode from the fixed probability (fractile) method to a fixed value

method is effective

MC62