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INFORMS Philadelphia – 2015

443

WC51

51-Room 106B, CC

Consolidation and Asymptotics in Inventory

Sponsor: Manufacturing & Service Operations Management

Sponsored Session

Chair: Stefanus Jasin, Stephen M. Ross School of Business, University

of Michigan, Ann Arbor, United States of America,

sjasin@umich.edu

Co-Chair: Linwei Xin, Assistant Professor, University of Illinois at

Urbana-Champaign, 104 S. Mathews Ave., Urbana, IL, 61801,

United States of America,

lxin@illinois.edu

1 - Centralized and Decentralized Warehouse Logistics Collaboration

Shiman Ding, UC Berkeley, IEOR Dept., Berkeley, CA, 94720-

1777, United States of America,

shiman@berkeley.edu,

Philip Kaminsky

An emerging paradigm for logistics collaboration in the grocery industry centers

on large third-party warehouses that multiple suppliers use as warehouses or

mixing centers, and from which multiple retailers order mixed-product

truckloads. We explore centralized and decentralized strategies for operating

shared warehouses, and characterize the loss due to decentralized operation.

2 - Shipment Consolidation for Online Retailers

Lai Wei, Stephen M. Ross School of Business, 701 Tappen Ave,

Ann Arbor, MI, 48109, United States of America,

laiwi@umich.edu

, Roman Kapuscinski, Stefanus Jasin

The online retailers have a significant flexibility how to satisfy multiple orders for

customers. An existing order can be strategically delayed to combine with future

orders, such that a single shipping cost can be incurred for multiple orders. But

delaying the shipment increases the shipping cost itself, as shorter remaining time

requires expedited shipping. We characterize the structure of the optimal policy

and use such insights to construct easily implementable near-optimal heuristics.

3 - Asymptotic Optimality of Tailored Base-Surge Policies in

Dual-Sourcing Inventory Systems

Linwei Xin, Assistant Professor, University of Illinois at Urbana-

Champaign, 104 S. Mathews Ave., Urbana, IL, 61801,

United States of America,

lxin@illinois.edu

, David Goldberg

Dual-sourcing inventory systems are notoriously difficult to optimize. Recently,

so-called Tailored Base-Surge policies have been analyzed in Allon and Van

Mieghem(2010) and Janakiraman et al.(2014). Although numerical results have

suggested that such policies perform well as the lead time difference grows large,

providing a theoretical foundation for this phenomenon has remained a major

open problem. In this talk, we resolve this open problem by proving asymptotic

optimality of such policies.

4 - Replenishment Policies in Assemble-to-order Inventory Systems

with Non-identical Lead Times

Martin I Reiman, Bell Labs, 600 Mountain Ave., Murray Hill, NJ,

07974, United States of America,

martyreiman@gmail.com,

Haohua Wan, Qiong Wang

In Assemble-to-Order systems, the use of one component often depends on the

availability of others. Thus ordering decisions for components with shorter lead

times should be coordinated with decisions made at earlier times for those with

longer lead times. The independent base stock policy does not have this feature

and we will assess the impact of this deficiency on the inventory cost. We will also

explore alternative policies that improve an asymptotic-optimality criterion.

WC52

52-Room 107A, CC

Retail Management III

Contributed Session

Chair: Amir Ghiasi, PhD Student, University of South Florida,

Department of Civil and Environmental Engineering,

4202 E. Fowler Avenue, Tampa FL 33620, United States of America,

amirghiasi@mail.usf.edu

1 - The Prepack Optimization: A Case Study of a Korean

Fashion Retailer

Shin Woong Sung, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon,

Korea, Republic of,

sw.sung@kaist.ac.kr

, Young Jae Jang

This study considers a real-world inventory packing and distribution problem

called “PrePack Optimization Problem (POP)” at the largest outdoor-fashion

retailer in Korea, KOLON SPORT (K/S). We formulate a mathematical

programming model for POP and propose a solution approach which can be

efficiently utilized at K/S. The field experiments, conducted for two seasons,

revealed that the approach remarkably improved the inventory stability.

2 - Socio-demographic Characteristic Associated with the Location

of Organic and Local Food Stores

Amir Ghiasi, PhD Student, University of South Florida,

Department of Civil and Environmental Engineering, 4202 E.

Fowler Avenue, Tampa, FL, 33620, United States of America,

amirghiasi@mail.usf.edu

, Guangqing Chi, Chuo Li, Xiaopeng Li

In this study, physical accessibility to organic and local food is examined relative

to socio-demographic factors in New Orleans, LA. Linear and spatial regression

models are adopted to investigate how the socio-demographic variables correlate

with the distance of driving, biking, or walking to the stores. Results show that

accessibility to organic food stores is more in denser areas and areas with more

African-Americans, Hispanics and more educated people.

WC53

53-Room 107B, CC

Behavioral Issues in Supply Chains Regarding

Quality and Competition

Sponsor: Behavioral Operations Management

Sponsored Session

Chair: Yinghao Zhang, Assistant Professor, Salisbury University, 1101

Camden Avenue, Salisbury, MD, 21801, United States of America,

YXZhang@salisbury.edu

Co-Chair: Diana Wu, University of Kansas, Lawrence, United States of

America,

dianawu@ku.edu

1 - The Decision to Recall: A Behavioral Investigation in the

Medical Device Industry

George Ball, PhD Candidate, University of Minnesota, 321 19th

Ave. S, Minneapolis, MN, 55455, United States of America,

ball0197@umn.edu,

Karen Donohue, Rachna Shah

Using a unique managerial subject pool with significant experience in product

recall decision-making, this study identifies factors that impel medical device

industry managers to decide to recall. We then incorporate a well-established

Cognitive Reflection Test (CRT) to highlight sources of individual heterogeneity

among recall decision-makers. The results of this study inform decision-making

literature and may be able to improve the product recall decision-making process.

2 - Should Suppliers Bear the Qualification Costs?

Theory and Experiments

Wei Chen, Assistant Professor, The University of Kansas, 1450

Jayhawk Blvd, Lawrence, KS, 66045, United States of America,

wei.chen@ku.edu

, Milind Dawande, Ganesh Janakiraman,

Elena Katok

A firm needs to source from a fixed-size pool of yet-to-be qualified suppliers for

an indivisible contract. The contract can only be awarded to a supplier who passes

a costly qualification test. Using the theory of optimal auction design and lab

experiments, we investigate the following questions: Should suppliers bear the

qualification costs in mechanisms that are optimal for the buyer? If suppliers are

asked to bear these costs, should the buyer reimburse them in any way?

3 - Social Comparison and Pull-to-Center in Newsvendor Contests

Valery Pavlov, The University of Auckland, Private Bag 92019,

Auckland, New Zealand,

v.pavlov@auckland.ac.nz,

Nagesh Gavirneni, Tony Lin

We study a game of two newsvendors competing for a fixed bonus. Its most

prominent feature is that the game is non-transitive (similar to Rock-Paper-

Scissors), and the best-response is almost always “to order a quantity a bit closer

to the mean than the competitor’s”. We test our model predictions experimentally

and (i) find that a pull-to-center dynamics can emerge due to social comparison,

and, (ii) find that friendship may be ineffective in mitigating competitive effects of

social comparison.

4 - Perceived Versus Actual Value of Product Substitution Flexibility

Brent Moritz, Assistant Professor, Supply Chain Management,

Pennsylvania State University, 469 Business Bldg., University

Park, PA, 16802, United States of America,

bmoritz@psu.edu

,

Saurabh Bansal

Using behavioral decision-making experiments for inventory of substitutable

products, we investigate how decision-makers perform when estimating the value

of operational flexibility of product substitution. Subjects consistently

overestimated the monetary value of product substitution, and this is related to

behavioral biases when estimating the conjunctive probability of substitution. We

demonstrate a probability decomposition-based approach to mitigate this

overestimation.

WC53