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INFORMS Philadelphia – 2015

82

2 - Increasing the Quality of Agricultural Produce in

Developing Countries

Andre Calmon, Assistant Professor, INSEAD, Boulevard de

Constance, Fontainebleau, 77300, France,

andre.calmon@insead.edu

, Sameer Hasija

We introduce and analyze a model to capture the interaction between farmers

and retailers in agricultural supply chains that are common in the developing

world. Namely, we discuss the problem of a retailer that sources perishable goods

from small farmers. The quality of a crop depends on the effort that the farmer

exerts and this effort is non-contractable. This problem emerged from a

collaboration with a large supermarket chain that has operations in Asia.

3 - Cooperative Approaches to Managing Supplier Quality:

Joint Auditing and Information Sharing

Xin Fang, Assistant Professor, Singapore Management University,

50 Stamford Road, #05-01, Singapore, 178899, Singapore,

xfang@smu.edu.sg

, Soo-Haeng Cho

Product safety incidents in recent years have compelled manufacturers to rethink

approaches to manage product quality of their suppliers. We investigate two

cooperative approaches: auditing common suppliers jointly (“joint auditing”) and

sharing independently collected information with other manufacturers

(“information sharing”). Our analysis reveals that, while competing

manufacturers may voluntarily cooperate with each other, such cooperation does

not necessarily improve product safety.

4 - Managing a Responsible Supply Chain under Threat of

Public Disclosure

Saed Alizamir, Assistant Professor, Yale University, 165 Whitney

Ave, New Haven, CT, 06511, United States of America,

saed.alizamir@yale.edu

, Sang Kim

We analyze a game-theoretic model in which a downstream supply chain

member (“buyer”) is penalized disproportionately due to a compliance violation

by an upstream member (“supplier”). Buyer’s ability to audit the supplier is

limited, and she faces a risk of being publicly blamed after the supplier’s violation

is caught by a third party. Supplier exerts effort to enhance compliance in each

period, but risks having his relationship terminated due to a stochastic compliance

outcome.

SB49

49-Room 105B, CC

Understanding and Managing Risk in Extended

Supply Chains

Sponsor: Manufacturing & Service Oper Mgmt/Supply Chain

Sponsored Session

Chair: Robert Swinney, Associate Professor, Duke University,

100 Fuqua Dr, Durham, NC, 27708, United States of America,

robert.swinney@duke.edu

1 - Disruption Cascades and Risk Mitigation in Supply Chains

Shyam Mohan, London Business School, London, NW14SA,

United Kingdom,

smohan@london.edu,

Nitin Bakshi

Disasters such as the Tohuku earthquake in Japan and Thai floods in 2011 serve

as a reminder about the extent to which a supply chain is vulnerable to

disruptions. The resulting losses arise not only through direct damage but also

from disruptions to suppliers belonging to adjacent tiers. As per a recent study,

nearly 40% of the disruptions originate in tier 2 and beyond. In this paper, we

study the relationship between network structure and disruption cascades in

supply chain networks.

2 - Contracting for Shared Value: Efficiencies from Endogenous

Process Yield

Joann De Zegher, PhD Candidate, Stanford University,

473 Via Ortega, Stanford, CA, United States of America,

jfdezegher@stanford.edu,

Dan Iancu, Hau Lee

We focus on agricultural value chains where farmers have an opportunity to

create value through the adoption of a new management practice, but the

economic benefit is either too small for the farmers or accrues primarily to other

parties in the supply chain. In a setting with uncertain and endogenous process

yield, we study two components of supply chain design – namely contracts and

sourcing channels – as possible mechanisms for creating shared value in

decentralized value chains.

3 - Risky Suppliers or Risky Supply Chains?

Yixin Iris Wang, Ross School of Business, University of Michigan,

701 Tappan Street R3410, Ann Arbor, MI, 48109, United States of

America,

iriswang@umich.edu

, Ravi Anupindi, Jun Li

The goal of this research is to assess interdependency of risks in supply network

and to understand the process of risk aggregation using firm-level supplier

relationship data. We concentrate on the impact of tier-2 overlapping. Our

research aims to help firms manage risks more efficiently and acknowledge sub-

tier importance.

4 - Supply Chain Disruptions: Evidence from the Great East Japan

Earthquake

Alireza Tahbaz-Salehi, Columbia Business School, 3022

Broadway, Uris Hall 418, New York, NY, 10023, United States of

America,

alirezat@columbia.edu

, Vasco Carvalho, Makoto Nirei,

Yukiko Saito

This paper examines whether propagation of idiosyncratic, firm-level shocks

through input-output linkages can lead to sizable fluctuations at the aggregate

level. Using a large-scale dataset on supply chain linkages among Japanese firms

together with information on firm-level exposures to a large, but localized,

natural-disaster (the Great East Japan Earthquake in 2011) we quantify the

earthquake’s impact on firms that were (directly or indirectly) linked to affected

firms.

SB50

50-Room 106A, CC

Designing Dynamic Markets

Sponsor: Manufacturing & Service Operations Management

Sponsored Session

Chair: Kostas Bimpikis, Stanford GSB, 655 Knight Way, Stanford, CA,

94305, United States of America,

kostasb@stanford.edu

1 - Auctions for Assortments of Differentiated Products:

Design and Applications

Daniela Saban, Stanford University, 655 Knight Way, Stanford,

CA, United States of America,

dsaban@stanford.edu,

Gabriel

Weintraub

We study the problem of a procurement agency using an auction to construct an

assortment of differentiated products, to satisfy the demand from heterogeneous

customers. This setting arises in “framework agreements” (FAs), commonly used

in public procurement. Using mechanism design and auction theory, we propose

recommendations to improve the design of FAs. We apply our results to the FAs

run by the Chilean government to buy US$2 billion worth of goods per year.

2 - Mean Field Equilibria in Competitive Exploration

Krishnamurthy Iyer, Assistant Professor, School of Operations

Research and Information Engineering, Cornell University,

225 Rhodes Hall, Ithaca, NY, 14853, United States of America,

kriyer@cornell.edu

, Pu Yang, Peter Frazier

We study a dynamic setting where multiple agents each explore a set of locations.

Each location receives stochastic rewards over time, which is shared among all

agents at that location. Based on the location’s reward level and the number of

other agents at that location, each agent decides whether to stay or switch to a

new location. We study the equilibrium behavior as the number of agents and

locations increase proportionally, and investigate the effect of information

sharing.

3 - Designing Dynamic Contests

Shayan Ehsani, Stanford University, 450 Serra Mall, Stanford,

CA, 94305, United States of America,

shayane@stanford.edu,

Mohamed Mostagir, Kostas Bimpikis

Tournaments are best suited for projects that feature a high degree of uncertainty.

Information about the status of competition leads to an interesting tradeoff:

participants learn about the underlying state from their competitors’ progress but

on the other hand their incentive to exert effort may weaken if they are lagging

behind. We characterize the design that maximizes the (discounted) payoff for the

principal and discuss its implications.

4 - Dynamic Mechanism Design with Budget Constrained Buyers

under Non-commitment

Santiago Balseiro, Assistant Professor, Duke University,

100 Fuqua Drive, Durham, NC, 27708, United States of America,

srb43@duke.edu

, Omar Besbes, Gabriel Weintraub

We study the dynamic mechanism design problem of a firm repeatedly selling

items to budget-constrained buyers when the seller has no commitment power.

We argue that this problem is generally intractable. Thus motivated we introduce

a fluid model that allows for a tractable characterization of the optimal

mechanism. We leverage our characterization to provide insights into the

dynamic structure of the optimal mechanism and show that the proposed

mechanism is a good approximation in large markets.

SB49