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INFORMS Philadelphia – 2015

167

3 - Global Uncertainties in Pharma R&D Portfolio Management

Chris Dalton, Syncopation Software, 6 State Street,

Suite 308, Bangor, ME, 04401, United States of America,

cdalton@syncopation.com

R&D portfolio management in pharma tends to be focused on individual project

risk factors, technical and commercial. Global risk factors affecting many projects

are usually ignored, on the theory that while they may change the value of the

portfolio they are unlikely to alter the project ranking. The possibility of far

reaching changes in government policy suggests that this assumption should be

tested. This talk examines the impact of some potential policy changes on a

notional portfolio.

4 - Manufacturing Investments in Pharmaceutical R&D:

Should I Pull the Trigger?

Phil Beccue, White Deer Partners, Westlake Village, CA,

United States of America

,phil@beccue.com

Capital investments to manufacture biopharmaceuticals require long lead times

and large expenditures that require board approval. These facilities produce

multiple products in highly competitive markets with uncertain demand, and if

not planned carefully, can result in a loss of economic value or inefficient

allocation of scarce resources. Based on recent case studies, we will explore how

decision analytics helps guide manufacturing choices.

MA65

65-Room 113B, CC

From Value of Information to Sensitivity Analysis

Sponsor: Decision Analysis

Sponsored Session

Chair: Emanuele Borgonovo, Professor, Bocconi University, Via

Roentgen 1, Milan, 20136, Italy,

emanuele.borgonovo@unibocconi.it

1 - Importance Measures and Value of Information

Alessandra Cillo, Assistant Professor, Bocconi University,

Via Roentgen 1, Milan, Italy,

alessandra.cillo@unibocconi.it

,

Emanuele Borgonovo

The importance measures are sensitivity indices. Despite their wide use, no work

has systematically addressed the relationships among them. We provide new

probabilistic relationships that link each measure to the remaining ones. These

new relationships also allow us to introduce new importance measures, value of

information based. We compare an importance measure and the value of

information-based measure, which depends upon the same measure: interesting

differences emerge.

2 - Integral Sensitivity in Linear Programming

Richard Wendell, Professor, University of Pittsburgh, Katz

Graduate School of Business, Pittsburgh, PA, 15238, United States

of America,

wendell@katz.pitt.edu

, Emanuele Borgonovo,

Greg Buzzard

Herein we provide a general framework merging two well known sensitivity

analysis approaches, namely, the tolerance sensitivity and global sensitivity

approaches. This unification leads to a series of novel results, ranging from

analytical formulae for computing global sensitivity measures to conditions

ensuring that uncertainty in the parameters is immaterial. Moreover, the results

provide the basis for a numerical approach for assessing key problem drivers and

determining tolerance regions.

3 - Robust Importance Meaures

Emanuele Borgonovo, Professor, Bocconi University,

Via Roentgen 1, Milan, 20136, Italy,

emanuele.borgonovo@unibocconi.it

Importance measures are probabilistic indicators that deliver information about

key risk drivers. They are defined for aleatory uncertainty. We show that, relying

on their probabilistic meaning, one can obtain a natural extension of importance

measures also when probabilities are not known.

MA66

66-Room 113C, CC

Air Traffic Management and Airline Operations

Sponsor: Aviation Applications

Sponsored Session

Chair: Peng Wei, Assistant Professor, Iowa State University, Aerospace

Engineering Department, 2312 Howe Hall, Ames, IA, 50011,

United States of America,

pwei@iastate.edu

1 - Modeling Airport Operations for Capacity Planning by Airport

Planners and Individual Carriers

L. Douglas Smith, University of Missouri-St. Louis, St. Louis, MO,

United States of America,

ldsmith@umsl.edu

, Jan Fabian Ehmke,

Deng Pan, Liang (leon) Xu, Ziyi Wang

We discuss a blend of statistical modelling, LP optimization and discrete-event

simulation that was used in the construction, calibration, validation and

application of a model for capacity planning at commercial airports. With results

from simulated scenarios, we examine the effects of changing usage of runways,

taxiways, ramps and gates under different traffic conditions. We also see how

concentration of activity at hub airports can cause flight delays to cascade for

individual carriers.

2 - Real-time Gate Assignment

Diego Klabjan, Northwestern University, Evanston, IL 60208,

United States of America, Professor,

d-klabjan@northwestern.edu

Due to unpredictable events airlines have to frequently adjust gate assignments.

We propose a network flow model that also considers crew and passenger

connections. A thorough computational study is presented based on data from a

big US airport.

3 - An Alternative Approach to Capacity Allocation at

Congested Airports

Amedeo Odoni, Professor, MIT, Room 33-219, MIT,

77 Mass Ave, Cambridge, MA, 02139, United States of America,

arodoni@mit.edu

, Alexandre Jacquillat

Current slot allocation at congested airports worldwide is based on long-standing

guidelines developed by IATA. An alternative approach, developed after extensive

research, will be outlined: it is more responsive to airline preferences, integrates

airport operating capabilities, minimizes interference with airline competitive

scheduling and is based on achieving user-specified performance goals, instead of

being solely driven by arbitrary and administratively-determined capacity

constraints.

4 - Airline Passenger Origin-Destination Reaccommodation with

Spare Aircraft

Peng Wei, Assistant Professor, Iowa State University, Aerospace

Engineering Department, 2312 Howe Hall, Ames, IA, 50011,

United States of America,

pwei@iastate.edu

The researchers at Amadeus have presented a method to formulate airline

passenger origin-destination reaccommodation into a multi-commodity flow

problem, for which they also designed the solution algorithm. In this paper we

consider the Airline Passenger Origin-destination Reaccommodation with Spare

Aircraft, which no one has tackled before.

MA67

67-Room 201A, CC

City Logistics and Sustainable Urban Freight

Systems - II

Sponsor: TSL/Freight Transportation & Logistics

Sponsored Session

Chair: Johanna Amaya, Rensselaer Polytechnic Institute, 110 8th St.

JEC 4037, Troy, NY, 12180, United States of America,

amayaj@rpi.edu

1 - Public Sector Initiatives Sustainable Urban Freight Systems Part I

Johanna Amaya, Rensselaer Polytechnic Institute, 110 8th St.

JEC 4037, Troy, NY, 12180, United States of America,

amayaj@rpi.edu,

Jose Holguin-Veras,

Carlos A. Gonzalez-Calderon, Stacey Hodge, Michael Browne,

Miguel Jaller, Jeffrey Wojtowicz, Cara (xiaokun) Wang,

Daniel Haake, Ivan Sanchez-Diaz

Transportation policy should ensure freight is moved efficiently as it is a physical

manifestation of the economy. In this study, planners are provided with

guidelines to implement initiatives addressing freight issues. Initiatives were

organized as part of a continuum, from supply to demand side; underpinned by

stakeholder engagement. This paper discusses pricing, incentives, taxation;

logistical management; and freight demand/land use, along with a methodology

to identify potential initiatives

MA67