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INFORMS Philadelphia – 2015

442

2 - Dynamic Pricing with Bogo Promotion in Revenue Management

Sunggyun Park, Doctoral Program, KAIST, 291 Daehak-ro

Yuseong, Daejeon, Korea, Republic of,

sunggyun@kaist.ac.kr,

Kyoung-kuk Kim, Chi Guhn Lee

We consider a dynamic pricing problem when a seller sells a single product in a

finite horizon. We particularly focus on the widely adopted promotional schemes

“buy one get one free” and “50% off” and study the optimal strategic choices of

the seller. Analytical results together with numerical experiments are presented to

help us obtain managerial insights. Additional numerical results for a generalized

model are provided so as to examine the effectiveness of promotional schemes.

3 - Estimation from Competitor Data

Möge Tekin, Universitat Pompeu Fabra, Ramon Trias Fargas, 27,

Barcelona, Spain,

muge.tekin@upf.edu,

Kalyan Talluri

Competitor price information is available as a data stream in many industries.

Also, in the hotel industry some providers reveal competitor occupancy rates.

While this information is very closely monitored by hotel managers, it has not

been fully exploited by revenue management systems. We exploit this marginal

information to answer a question of great interest to pricing managers: How

much should I price above (or below) the competitor’s price?

4 - Revenue Bounds for Bundling Strategies under

Dependent Valuations

Fredrik Odegaard, Ivey Business School, Western University,

1255 Western Road, London, ON, N6G 0N1, Canada,

fodegaard@ivey.uwo.ca,

Mihai Banciu, Alia Stanciu

Digital goods such as radio streaming, television channels or e-journals are

frequently bundled in packages of large sizes. Moreover, most of these bundles

incorporate goods that have dependent valuations, which makes the associated

revenue optimization problem hard to solve analytically. In this paper, we derive

tight bounds for the seller’s revenue function and show the existence of an

optimal maximin pricing strategy.

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49-Room 105B, CC

Incentive and Compensation Schemes in

Supply Chains

Sponsor: Manufacturing & Service Oper

Mgmt/Supply Chain

Sponsored Session

Chair: Sandra Transchel, Kuehne Logisitcs University, Grosser

Grasbrook 17, Hamburg, Germany,

Sandra.Transchel@the-klu.org

1 - You Get What You Pay For: Ceo Compensation and the

Inventory Rhombus

Kristoph Ullrich, Köhne Logistics University - KLU,

Grosser Grasbrook 17, Hamburg, 22297, Germany,

Kristoph.Ullrich@the-klu.org

This article seeks and finds empirical evidence of a relationship between CEO

compensation and inventory investments in multiple direct and indirect ways. I

identify the dominant of the competing hypotheses that emerge from OM theory:

CEOs whose compensation is more dependent on the stock price follow less risky

strategies and invest less in inventories. CEOs whose compensation is more

dependent on the stock price volatility follow more risky strategies and have

higher inventory investments.

2 - Contract Design in Processing Trade under

Information Asymmetry

Paolo Letizia, Assistant Professor of Business Analytics, University

of Tennessee, 223 Stokley Management Center, 916 Volunteer

Boulevard, Knoxville, TN, 37996, United States of America,

pletizia@utk.edu

, Long Gao

Processing companies have repeatedly wrestled on the question whether they

should control or delegate the quality of their products to foreign producers. We

study this important question when there is a gap of expertise in the production

processes between the processing company and its producer. We find that

although quality delegation involves a control loss, it allows the producer to

leverage on his superior expertise resulting in a flexibility gain.

3 - Salesforce Compensation under Inventory Rationing

Sandra Transchel, Kuehne Logisitcs University, Grosser Grasbrook

17, Hamburg, Germany,

Sandra.Transchel@the-klu.org,

Kristoph Ullrich, Ruud Teunter, Jasper Veldman

We study sales quota-based compensation schemes of two sales agents who can

exert effort to stochastically increase demand. Both agents satisfy demand from

the same inventory, which is ordered by the firm before demand uncertainty is

revealed. As actual demand and exerted sales effort are unobservable by the firm,

both agents decide on their effort level based on sale quota bonus contract,

inventory level, and allocation policy, which are designed by the firm to maximize

the expected profit.

4 - Cultural Attitudes Towards Contract Design in Supply

Chain Exchanges

Dina Ribbink, Assistant Professor, Western University,

1255 Western Rd, London, ON, Canada,

dribbink@ivey.ca

,

Yun Shin Lee, Stephanie Eckerd

The purpose of this study is to investigate the impact of national culture on the

design and effectiveness of bonus and penalty incentive contracts. We conduct

laboratory experiments in Canada, China, and the Republic of Korea, and

evaluate buyers’ contract design decisions and suppliers’ responses.

WC50

50-Room 106A, CC

Non-Profit Operations Management

Sponsor: Manufacturing & Service Operations Management

Sponsored Session

Chair: Sripad Devalkar, Assistant Professor, Indian School of Business,

Gachibowli, Hyderabad, 500032, India,

sripad_devalkar@isb.edu

Co-Chair: Karthik V. Natarajan, Assistant Professor, University of

Minnesota, 321 19th Avenue South, 3-150, Minneapolis, MN,

United States of America,

knataraj@umn.edu

1 - Understanding and Improving Global Health Supply Chains:

An Analysis of Global Supply Chain D

Ananth Iyer, Susan Bulkeley Butler Chair In Operations

Management, Purdue University, Purdue University,

West Lafayette, IN, United States of America,

aiyer@purdue.edu,

Gemma Berenguer

We focus on data from USAID which provides all shipments across the supply

chain in 2011-2012. We built statistical and mathematical programming models

to understand the logic of the flows, explore the impact of changes in mode mix

and changes in supply chain structure and explore the impact of lead times,

transshipment etc. Our goal is to enable an understanding of the cost and service

level impact on the operation of the supply chain.

2 - Effect of Armed Conflicts on Humanitarian Operations

Alfonso Pedraza-Martinez, Assistant Professor, Indiana University,

1309 E 10th Street, Bloomington, IN, 47405, United States of

America,

alpedraz@indiana.edu,

Andres Jola-sanchez,

Kurt Bretthauer, Rodrigo Britto

We study an important but widely neglected topic in humanitarian operations:

armed conflicts. Specifically, we analyze the effect of man-made disasters (armed

conflicts) on the operational performance of rural hospitals and investigate what

is the effect of conflicts on: (i) the efficiency of rural hospitals? (ii) the total factor

productivity of rural hospitals? and (iii) patient satisfaction? We use panel data

from 163 public rural hospitals in Colombia during the period 2007-2011.

3 - Payment for Results: Signaling Efficiency in

Non-profit Operations

Milind Sohoni, Associate Professor Of Operations Management

And Sr. Associate Dean Of Programs, Indian School of Business,

Gachibowli, Indian School of Business, Gachibowli, Hyderabad,

Pl, 500032, India,

milind_sohoni@isb.edu

, Sripad Devalkar

We consider the problem of a NPO raising funds for projects. Donors care about

the end benefits but are uncertain about the NPO’s efficiency. We compare the

performance of traditional fund raising, where donors contribute before

implementation, with an emerging form of ‘payment for results’ wherein the

NPO implements a project and then seeks contribution. We highlight conditions

when the ‘payment for results’ option dominates. Our results suggest important

implications for regulators too.

4 - Dynamic Programming to Reduce Environmental Impacts of

Food Waste at Campus Dining Services

Esma Birisci, Student, University Of Missouri, 246 Engineering

Building West, Columbia, MO, 65211, United States of America,

esmabirisci@mail.missouri.edu,

Ronald McGarvey,

Christine Costello

This research incorporates environmental impacts of food wastage into a cost-

minimizing stochastic inventory model of campus dining service operations. We

use Life Cycle Analysis estimates to account for broader environmental costs of

wasted food, focusing on how optimal food production and ordering decisions can

reduce storage losses and over preparation losses.

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