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INFORMS Philadelphia – 2015

162

MA49

49-Room 105B, CC

Energy Operations and Sustainability

Sponsor: Manufacturing & Service Oper Mgmt/Supply Chain

Sponsored Session

Chair: Nur Sunar, Assistant Professor, University of North Carolina,

Kenan-Flagler School of Business, Chapel Hill, NC,

United States of America,

Nur_Sunar@kenan-flagler.unc.edu

1 - New Business Models for Green Technology Adoption in Split

Property Rights and Rents Situations

Anton Ovchinnikov, Queen’s University, 143 Union St. West,

Kingston, Canada,

anton.ovchinnikov@queensu.ca

In many situations, the owner of the asset that is being improved with green

technology is not one that enjoys the benefits from the improvement. For

example, the landlord may incur the costs of energy-efficiency upgrades, while

the tenant will enjoy the savings in energy costs. Such split in property rights and

rents is a major deterrent in the adoption of green technologies. I will discuss two

case studies highlighting the industry practice and issues, and opportunities to

resolve them.

2 - The Impact of Extended Producer Responsibility on Selling and

Leasing Strategies

Ni Fang, HEC Paris, 1, Rue de la Liberation, HEC Paris, Jouy en

Josas, DI, 78351, France,

ni.fang@hec.edu

, Andrea Masini

While product take-back legislation based on the Extended Producer

Responsibility (EPR) concept is becoming an increasingly popular instrument to

reduce waste, its actual operational and environmental impact remains unclear.

This paper examines how EPR legislation affects the optimal channel allocation

decisions of a firm that either sells, leases, or concurrently sells and leases durable

products, and it discusses the competitive and environmental implications of

regulation.

3 - The Buyer’s Role in Improving Energy Efficiency in Supply Chains

Jason Nguyen, University of Minnesota, 321 19th Ave S,

Minneapolis, MN, 55455, United States of America,

nguy1762@umn.edu

, Karen Donohue, Mili Mehrotra

We investigate the equipment-focused EE investment decision in the context of a

supply chain where a capital constrained manufacturer sets the investment level

and its buyer sets contract prices. We investigate the impact of different factors

including policy incentives and global competition on the investment decisions.

MA50

50-Room 106A, CC

The Role of Behavioral Modeling Features in

Revenue Management

Sponsor: Manufacturing & Service Operations Management

Sponsored Session

Chair: Eren Cil, University of Oregon, 1585 East 13th Avenue,

Eugene, OR, United States of America,

erencil@uoregon.edu

1 - What if Hotelling’s Firms Can Deliver Their Products?

Competitive and Social Implications

Alireza Yazdani, University of Oregon, 2250 Patterson St.,

Unit 220, Eugene, OR, 97405, United States of America,

syazdani@uoregon.edu

, Eren Cil, Michael Pangburn

We study the competition between two firms serving dispersed customers, which

we model using Hoteling’s classic linear city model. In the classic framework,

travel costs are borne by consumers, but potentially firms could absorb those costs

by making deliveries to customers. We explore the competitive and social

implications of these two alternatives for serving customers demands, considering

both product design and pricing decisions.

2 - Dynamic Pricing of Multiple Substitutable Products with Search

Cost and Local Behavioral Influences

Sajjad Najafi, PhD Candidate, University of Toronto, RS206, 5

King’s College Road, Toronto, ON, M5S 3G8, Canada,

snajafi@mie.utoronto.ca

, Chi Guhn Lee, Sami Najafi-Asadolahi,

Steven Nahmias

We consider a seller offering n types of substitutable products over T time periods.

Customers incur a search cost for inspecting the products, and may examine only

a subset of the products. They are also assumed to have a local behavior in the

search process. Given inventory state and time, the firm aims to find the optimal

price of the products maximizing its profit.

3 - Social Loafing and Queue Driven Speedup: Evidence

from a Supermarket

Yong-Pin Zhou, Associate Professor of Operations Management,

University of Washington, Seattle, WA, 98195-3226,

United States of America,

yongpin@uw.edu

, Jingqi Wang

We study factors affecting cashiers’ service rate using data from a supermarket.

We find that customer waiting pushes cashiers to work faster. We also observe

that pooling has a negative impact on cashiers’ service rate.

4 - Physician Dual Practice; When Revenue is Not the Only Thing

that Matters

Vasiliki Kostami, London Business School, London Business

School (MSO dept), Regent’s Park, London, NW1 4SA,

United Kingdom,

vkostami@london.edu

, Dimitrios Andritsos

Physician dual practice refers to the simultaneous practice of medicine by

physicians in both public and private settings. In the presence of dual-practice, we

are looking at the optimal proportion of time that physicians may be willing to

invest in a private practice. How does that proportion depend on the physicians

objective? And how does this affect the severity of the patients that are treated in

the public versus the private clinics?

MA51

51-Room 106B, CC

Models for Fashion Operations Management

Sponsor: Manufacturing & Service Operations Management

Sponsored Session

Chair: Victor Martínez-de-Albéniz, Associate Professor, IESE Business

School, Av. Pearson 21, Barcelona, 08034, Spain,

Valbeniz@iese.edu

1 - Assortment Planning Decisions in a Two-sided Market

Ying Cao, University of Texas at Dallas, 800 W. Campbell Rd,

Richardson, TX, 75080, United States of America,

Ying.Cao@utdallas.edu,

Dorothee Honhon, Sridhar Seshadri

We consider the problem of a firm optimizing its assortment when facing a two-

sided market. The firm receives revenues from customers purchasing the products

as well as from advertising company who offer to pay various amounts for

reaching customers from different segments. We explore structural properties of

the optimal assortment and compare it to the solutions of the one-sided market

problems.

2 - Managing Online Content to Build a Follower Base:

Model and Applications

Felipe Caro, University of California Los Angeles,

110 Westwood Plaza, Box 951481, Los Angeles, CA, 90095-1481,

United States of America,

felipe.caro@anderson.ucla.edu,

Victor Martínez-de-Albéniz

Content providers typically manage a dual objective of generating interest for

current content and at the same time reaching out to new audiences that may

become repeat users. The pace at which content is created must thus take into

account how much current content contributes to the follower base. We develop

a simple model to study base build-up dynamics, and use it to optimize the total

traffic received by the content provider through stochastic dynamic programming.

3 - Choosing an Assortment Rotation Strategy to Boost Sales

Kris Johnson Ferreira, Harvard Business School, Morgan Hall

492, Boston, MA, 02163, United States of America,

kferreira@hbs.edu,

David Simchi-levi

Assortment rotation strategies vary widely across fashion retailers; the flash sales

industry uses a frequent assortment rotation strategy, introducing new products

every day. We build a finite-horizon stochastic dynamic programming model to

better understand the consumer’s purchase decisions under this strategy. We

analyze and compare our model to the setting where all products are offered for

the entire selling season and explore under what conditions the retailer should

employ each strategy.

4 - Estimating and Optimizing the Impact of Inventory on Consumer

Choices in Fashion Retail

Victor Martínez-de-Albéniz, Associate Professor, IESE Business

School, Av. Pearson 21, Barcelona, 08034, Spain,

Valbeniz@iese.edu

, Pol Boada

We empirically study the impact of inventory (as opposed to availability) on sales.

We develop a market share model where we show that product-level inventory

has a large impact on its market share within the category. This supports the idea

that inventory plays a major role in helping customers choose a particular product

within the assortment. We finally describe how a retailer should optimally decide

its inventory levels within a category.

MA49