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INFORMS Nashville – 2016

53

3 - When The Bank Comes To You: Branch Network And Custsomer

Multi-channel Banking Behavior

Vibhanshu Abhishek, CMU,

vibs@andrew.cmu.edu

Beibei Li, Dan Geng

Customers today increasingly interact with their banks using digital channels,

lifting the necessity for banks to rethink the distribution of physical branches and

customer behavior in a multi-channel environment. Using approximately 1.2M

anonymized individual-level data from a large commercial bank in US over 6

years, our paper investigates the traditional channel - bank branches - and the

impact of its network change (branch opening or closure) on customer multi-

channel preferences and other banking behavior.

SB30

202B-MCC

Social and Environmental Considerations in Retailing

Sponsored: Manufacturing & Service Oper Mgmt

Sponsored Session

Chair: Xiajun Amy Pan, University of Florida, Gainesville, FL,

United States,

amy.pan@warrington.ufl.edu

Co-Chair: Dorothee Honhon, University of Texas at Dallas, Richardson,

TX, United States,

dorothee.honhon@utdallas.edu

1 - Social Labeling: Leaderboard Or Threshold Policy?

Xiajun Amy Pan, University of Florida,

amy.pan@warrington.ufl.edu

, Quan Zheng, Asoo Vakharia

Labeling, as a way to certify corporate social performance, is widely adopted in

practice. However, little attention has been paid to the endogenous choice of a

labeling policy. Should the label be awarded to manufacturers based on absolute

performance (threshold policy) or relative performance (leaderboard policy)? We

address this question through a mechanism design perspective. Our findings are

that an impact-motivated third-party organization should confer the label on the

best manufacturer provided it meets a threshold. On the other hand, a profit-

maximizing retailer should select a certain number of manufacturers who

outperform the others in the set without setting a threshold.

2 - The Impact Of Supply Chain Contracts On Inventory Shrinkage:

Inference From Packaged Food Products

Min Choi, Arizona State University,

mchoi9@asu.edu

Elliot Rabinovich, Timothy Richards

This paper examines the effect of supply chain contracts on inventory shrinkage

using a data set from a packaged bakery manufacturer in the U.S. We find that

the amount of inventory shrinkage tends to be higher under scan-based (SBT)

contracts compared to vendor-managed inventory (VMI) contracts when

measured in terms of both explicit and non-explicit shrink. We attribute this

effect to retailers’ moral hazard under SBT contracts. Our findings highlight a

potential loss in efficiency in food supply chains reflected in higher inventory

shrinkage under SBT contracts. Our study calls for a careful reexamination of

emerging contractual forms in light of their potential impact on inventory waste.

3 - Online Grocery Retail: Revenue Models And

Environmental Impact

Elena Belavina, The University of Chicago, ?, chicago, IN, 6,

United States,

elena.belavina@chicagobooth.edu

We compare the financial and environmental performance of two revenue

models for the online retailing of groceries: the per-order and the subscription

model. We find that subscription incentivizes smaller and more frequent orders,

which reduces food waste and results in higher retailer revenues. These

advantages are countered by greater delivery-related travel and expenses.

Subscription leads to lower food waste-related emissions but to higher delivery-

related emissions. Geographic and demographic data indicate that the

subscription model is almost always environmentally preferable because lower

food waste emissions dominate higher delivery emissions.

4 - Incorporating Consumer Attitudes To Minimise Waste And

Out-of-stock Situations In Food Retail

Emel Aktas, Senior Lecturer, Cranfield University, Cranfield,

United Kingdom,

emel.aktas@cranfield.ac.uk

Soroosh Saghiri, Zeynep Topaloglu, Tamara van ‘t Wout,

Akunna Oledinma, Zahir Irani, Amir Sharif, A. K. Samsul Huda

Inventory management of perishable food products is not straightforward since

the demand volatility for these products is usually high. Consumer behavior is

influenced by many factors, particularly the product availability and the expiry

date of the product. Product inventory is to meet the customer demand and due

to short shelf life it cannot act as a buffer against demand fluctuations. We study

the optimal inventory policies to minimize food waste and stock-out situations

based on the expiry dates and consumer preferences. Implications for the

environment follow from reduced food waste.

SB31

202C-MCC

Empirical Research in Supply Networks

Sponsored: Manufacturing & Service Oper Mgmt, iFORM

Sponsored Session

Chair: Vishal Gaur, Cornell University, 321 Sage Hall, Ithaca, NY,

14850, United States,

vg77@cornell.edu

Co-Chair: Yasin Alan, Vanderbilt University - Owen Graduate School of

Management, 401 21st Avenue South, Nashville, TN, 37203,

United States,

yasin.alan@owen.vanderbilt.edu

1 - Evolution Of Supply Networks

Nikolay Osadchiy, Emory University,

nikolay.osadchiy@emory.edu,

Vishal Gaur, Maximiliano Udenio

Using a large panel of firm-level buyer-supplier relationships, we study evolution

of supply networks over time.

2 - Inaccurate Durations And Supply Chain Disruptions

William Schmidt, Cornell University,

wschmidt@cornell.edu,

Mili Mehrotra

We use supply chain and production data from a division of a Fortune 500

multinational manufacturer to examine the operational performance impact of

inaccurate supply chain disruption duration estimates. We find that such

inaccuracies can materially increase the cost of the disruption. This effect (1)

persists after controlling for the actual length of a disruption and (2) can occur

regardless of whether the disruption duration is initially over-estimated or under-

estimated. We identify several factors that contribute to the impact of inaccurate

estimates.

3 - Using Delay Forecasting To Correct Airline Turn

Time Misallocation

Yannis Stamatopoulos, McCombs School of Business, Austin, TX,

United States,

yannis.stamos@mccombs.utexas.edu,

Jun Li,

Carlos Carvalho

Achieving good on time performance (OTP) is a challenging task for airlines. At

the center of this challenge is the tradeoff between utilization and resilience. For

example, longer turn times increase network resilience by reducing propagated

flight delay, but at the same time keep airplanes away from flying and generating

revenues. In this work, using proprietary data from a large US airline, we

examine how an airline can manage turn times smartly from a network

perspective. We find evidence for a potential significant improvement in OTP

without hurting revenues.

4 - Shock Propagation In Supply Chain Networks

Jing Wu, University of Chicago,

jwu7@chicagobooth.edu

Firms do not exist in isolation but are linked to each other through supply chain

relationships. How do firm-level information transmits in the supply chain

networks empirically? In this talk, we show both average shock propagation as

reflected in stock returns, and extreme shock propagation as reflected in credit

default swaps. The results are supported by supply chain theory and also have

practical value in investment.

SB32

203A-MCC

Scheduling II

Contributed Session

Chair: Mauricio G. C. Resende,

Amazon.com

, Inc., 2483 Birch Ave N,

#512, Seattle, WA, 98109, United States,

resendem@amazon.com

1 - Online Lazy Bureaucrat Scheduling With A Machine Deadline

Ling Gai, Shanghai University, Shanghai, 201444, China,

lgai@shu.edu.cn

The lazy bureaucrat scheduling problem was first introduced by

Arkin et al. in 1999. Since then, a number of variants have been

addressed. However, very little is known on the online version. In

this note we focus on the scenario of online scheduling, in which the

jobs arrive over time. The bureaucrat (machine) has a working time

interval. Namely, he has a deadline by which all scheduled jobs must

be completed. A decision is only based on released jobs without any

information on the future. We consider two objective functions of

[min-makespan] and [min-time-spent]. Both admit best possible online

algorithms with competitive ratio of 1.618.

SB32