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INFORMS Nashville – 2016

167

MB55

Music Row 3- Omni

Inventory Management I

Contributed Session

Chair: Jagtej S Bewli, Director, Product Management, WalmartLabs,

850 Cherry Avenue, San Bruno, CA, 94066, United States,

jbewli@walmartlabs.com

1 - Inventory And Transportation Decisions For Two-echelon Closed-

loop Supply Chain Under Emission Constraint

Jian Li, PhD Candidate, Xi’an Jiaotong University,

No.28 Westing Xianning Road, Xi’an,

+86-029-710049,

China,

ljlcxwxz@stu.xjtu.edu.cn,

Qin Su

Closed-loop supply chain (CLSC) may cause more direct carbon emissions of used

product due to the reverse logistics and remanufacturing. In this paper, we

address the inventory and transportation management issue on CLSC system

consisting of supplier, manufacturer and retailer under cap-and-trade mechanism,

and develop a two-echelon system. Extra carbon permits can be taken as a kind of

environment resource as well as product to be traded and circulate. Further, we

consider decentralized decision-making with supplier, manufacturer and retailer

being Stackelberg leader, respectively, and have a comparative analysis with

centralized decision-making of CLSC through two numerical studies.

2 - An Inventory Problem With Substitution And Bayesian Estimation

Ulku Gurler, Professor, Bilkent University, Department of

Industrial Engineering, Ankara, 06800, Turkey,

ulku@bilkent.edu.tr

In this study we consider an inventory problem with two substitutable products.

We use a bayesian approach to estimated the demand and substitution rates and

investigate the impact of the estimation method on inventory replenishment.

3 - Managing Perishable Inventory Systems With Multiple

Demand Classes

Rui Chen, University of Toronto, 105 St George St, Toronto, ON,

M5S 3E6, Canada,

rui.chen@rotman.utoronto.ca

Hossein Abouee Mehrizi, Opher Baron, Oded Berman

We study a multi-period stochastic perishable inventory system with multiple

demand classes that have different requirements on the age of acceptable

products. At the end of each period, the firm can savage inventory of any age. An

example is a food supplier selling products to retailers that have different market

size or have different geographical locations. We characterize the structure of

optimal ordering, allocation, and disposal policies. We examine the effectiveness

of the optimal control and how to best try and improve the control of perishables.

We also propose an effective and computationally-efficient heuristic,which is 5%

away from the optimal.

4 - The Design Of A Responsive Vaccine Supply Chain By The

Incorporation Of Production Capacity Into The Guaranteed

Service Approach

Stef Lemmens, KU Leuven, Naamsestraat 69 Box 3555,

VAT BE 0419.052.173, Leuven, 3000, Belgium,

stef.lemmens@kuleuven.be

, Catherine Jenny Decouttere,

Nico Vandaele, Mauro Bernuzzi, Amir Reichman

Both literature and industrial evidence emphasize the importance of the design of

a responsive vaccine supply chain as the manufacturing lead times are long and

highly variable. We model the buffer exchange between supply chain

responsiveness, multi-echelon inventory and production capacity by the

incorporation of queuing networks into the guaranteed service approach.

Furthermore, we apply our methodology to a real-life rotavirus vaccine supply

chain.

5 - Portfolio Management Approach To Inventory Optimization

Jagtej S Bewli, Director, Product Management, WalmartLabs,

850 Cherry Avenue, San Bruno, CA, 94066, United States,

jbewli@walmartlabs.com

Choosing the right inventory ‘investment’ for each SKU in the assortment can

improve service levels while reducing overall inventory. However, in spite of

significant advancement and research in inventory optimization techniques,

inventory policies in industry still managed based on ABC classification of

SKUs.Inventory recommendations from mathematically optimal inventory

policies may not always line up with human intuition therefore educating the

business user is key to driving adoption.

MB56

Music Row 4- Omni

Firm Competitive Strategies

Sponsored: EBusiness

Sponsored Session

Chair: Chao Ding, University of Hong Kong, KKL 807, Pok Fu Lam,

Hong Kong,

chao.ding@hku.hk

1 - Promotion Design In Free To Play Mobile Games

Sean Raphael Marston, Western Kentucky University,

sean.marston@wku.edu,

Ismail Civelek, Yipeng Liu

In-game purchases, virtual goods/promotion design for heterogeneous consumers

and strong competition are key challenges for game providers. This paper

addresses determination of optimal promotion offerings for a game provider in

the presence of heterogeneous players and a competitor.

2 - Advertising Role Of Recommender Systems In Electronic

Marketplaces: Is It A Boon Or A Bane For Competing Sellers?

Lusi Li, University of Texas at Dallas,

Lusi.Li@utdallas.edu

This paper examines the intricate interaction between competing sellers’

advertising and pricing strategies in the presence of a recommender system in an

electronic marketplace.

3 - Competition And Efficiency In Express Service Industry

Yihong Hu, Assistant Professor, Tongji University, 1293,

Siping Road, Tongji University, Shanghai, 200092, China,

yhhu@tongji.edu.cn

, Ruixia Shi

We consider service firms competing for customers sensitive to price and

congestion and operating through a platform which charges a transaction fee. We

establish upper and lower bounds of efficiency loss. With linear inverse demand

and homogeneous firms, the platform’s charge make the worst case increase from

1/4 to 9/16, additionally losing more than one half of social welfare compared to

free competition. When heterogeneous, it raise the bound to over 9/16,

depending on the largest gap between cost coefficients of firms and the maximum

ratio of volume-to-investment. For concave inverse demand and homogeneous

firms, the bound increases from 1/3 without the charge to 2/3 with the charge.

4 - The Centrality Of Ict In Network Structures Of Innovation And

Impact On R&D

Rajib L Saha, Assistant Professor, Indian School of Business,

Room 6123, AC6, Level 1, Hyderabad, 500032, India,

Rajib_Saha@isb.edu

, Aditya Karanam, Deepa Mani

We document the centrality of Information and Communication Technology

(ICT) industries in network structures of innovation and its subsequent impact on

R&D processes and outcomes across diverse industries. We find strong evidence

for the impact of technology centricity of an industry’s innovations, as measured

by the industry’s position in the network relative to the ICT industries, on its R&D

productivity, new product creations, and recombinant intensity. Performance

volatility, spread and market returns of an industry also increase with the

technology centricity of its innovations.

MB57

Music Row 5- Omni

Queues and Customer Behavior

Sponsored: Behavioral Operations Management

Sponsored Session

Chair: Mirko Kremer, Frankfurt School of Finance and Management

gGmbh, Sonnemannstrasse 9-11, Frankfurt, 60314, Germany,

m.kremer@fs.de

1 - Last Place Aversion In Queues

Ryan Buell, Assistant Professor, Harvard Business School, Morgan

Hall 429, Boston, MA, 02163, United States,

rbuell@hbs.edu

Michael Norton, Jay Chakraborty

Since customers dislike waiting, much of the existing queuing research

concentrates on what’s taking place ahead of the customer in line (service rates,

queue length, etc.). We examine whether what’s taking place behind the

customer - specifically, whether they are last in line - influences their perceptions

and behaviors. Through a combination of lab and field studies, we document how

being in “last place” diminishes wait time satisfaction, and increases the

probability of leaving the queue. We also test several interventions aimed at

reducing last place aversion and improving queue performance.

MB57