Informs 2015

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INFORMS Philadelphia – 2015
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SA50
50-Room 106A, CC
Emerging Issues and Recent Trends in Sourcing
Sponsor: Manufacturing & Service Operations Management
Sponsored Session
Chair: Eda Kemahilioglu-Ziya, NC State, Poole College of Management,
Raleigh, United States of America,
Co-Chair: Olga Perdikaki, Texas A&M University, College Station, TX,
United States of America,
1 - Cooperation in Assembly Systems: The Role of Knowledge
Sharing Networks
Fernando Bernstein, Duke University, 100 Fuqua Drive, Durham,
NC, United States of America,
Ana Meca, Gurhan Kok
Process improvement plays a significant role in reducing production costs over the
life cycle of a product. We consider the role of process improvement in a
decentralized assembly system in which a buyer purchases components from first-
tier suppliers. Suppliers make investments in process improvement. The
assembler establishes a knowledge sharing network among suppliers. We
investigate the benefits and challenges associated with establishing a knowledge
sharing network.
2 - Managing Dependent Random Supply Capacities in Dynamic
Inventory-pricing Problems
Qi Annabelle Feng, Professor, Purdue University,
100 S. Grant St., West Lafayette, IN, United States of America,
, Justin Zheng Jia,
J. George Shanthikumar
Most work on multi-sourcing assumes independent supplies, though dependence
among different sources is commonly observed. This is mainly due to the
difficulty in analyzing models with dependent supplies. Extending the notion of
stochastic linearity via transform the problem into one defined on a function
space, we show that the dynamic inventory-pricing problem with dependent
supply capacities is concave. This observation allows us to derive the optimal
policy and generate interesting insights.
3 - Allocation of Greenhouse Gas Emissions in Supply Chains
Greys Sosic, University of Southern California, Marshall School of
Business, Bridge Hall 401, Los Angeles, Ca, 90089, United States
of America, Daniel Granot, Hailong Cui,
Sanjith Gopalakrishnan, Frieda Granot
We formulate the greenhouse gas (GHG) emission responsibility problem as a
cooperative game, referred to as the GREEN game, and suggest allocations of GHG
responsibility among supply chain members. We prove that the GREEN game has
a nonempty core and identify some allocations that are extreme core points and
are used in practice. We derive an expression for the Shapley value of this game,
which has a simple and intuitive interpretation, and provide its three distinct
axiomatic characterizations.
4 - Outsourcing under Competition: When to Choose a Competitor
as a Supplier?
Olga Perdikaki, Texas A&M University, College Station, TX,
United States of America ,
Eda Kemahilioglu-Ziya
Motivated by several examples of sourcing from direct competitors in different
industries, we study a stylized supply chain model with a single OEM that could
outsource either to an independent supplier or to an integrated firm that carries
out manufacturing in-house and competes with the OEM. We model different
contractual relationships between the OEM and the firm it sources from and aim
to identify whether and how the bargaining power of the OEM affects its supplier
choice.
SA51
51-Room 106B, CC
Service Operations
Sponsor: Manufacturing & Service Operations Management
Sponsored Session
Chair: Masha Shunko, Assistant Professor, Purdue University,
403 W State St., West Lafayette, IN, 47907, United States of America,
1 - Understanding Customers Retrials in Call Centers:
An Empirical Study
Gad Allon, Professor, Kellogg School of Management,
Northwestern University, 2001 Sheridan Road, Evanston, IL,
60201, United States of America, g-
, Kejia Hu, Achal Bassamboo
We study the impact of waiting times and service quality on the retrial behavior
of customers in a call center.
2 - Humans are not Machines: How Server Behavior Affects
Queueing Systems
Masha Shunko, Assistant Professor, Purdue University, 403 W
StateSt., West Lafayette, IN, 47907, United States of America,
, Julie Niederhoff, Yaroslav Rosokha
Using behavioral experiments, we examine the impact of queueing system design
on server productivity. We manipulate queue layout (parallel or single) and load
visibility. Our results provide the following insights: 1) behavioral factors may
slow down the single-queue system, which makes this design choice less
attractive than predicted theoretically, and 2) providing good visibility of the
queue length may speed up the servers and thus improve service performance.
3 - Operations in the On-demand Economy: Staffing Services with
Self-scheduling Capacity
Martin Lariviere, Northwestern University, 2001 Sheridan Rd,
Evanston, Il, 60208, United States of America,
Itai Gurvich,
Antonio Moreno-Garcia
Under self scheduling, agents choose for themselves whether or not to work in
each period. The firm thus controls its service level only indirectly. Relative to
when the firm sets the schedule, the firm has lower profits and the customers
have a higher chance of not being served. An unconstrained firm recruits a large
pool of agents to reduce compensation. If the firm is constrained to offer a
minimum wage, it limits the pool of size and agent scheduling flexibility.
4 - E-commerce, the On-demand Economy and Sustainability
Ekaterina Astashkina, INSEAD, Boulevard de Constance,
Fontainebleau, 77305, France, ,
Karan Girotra, Elena Belavina
On-demand services are heralding the next era of the e-commerce revolution.
This talk examines the sustainability of using these on-demand services in certain
high impact categories.
SA52
52-Room 107A, CC
Models of Service Systems
Sponsor: Service Science
Sponsored Session
Chair: Ralph Badinelli, Professor, Virginia Tech, Dept. of Busines
Information Technology, Virginia Tech 0235, Blacksburg, VA, 24061,
United States of America,
1 - A Big Data Approach to Assessing the Quality of Higher
Education Services
Robin Qiu, Professor, Penn State, 1025 Brassington Dr,
Collegeville, PA, 19426, United States of America,
This talk introduces a real-time, scalable, and model-driven higher education
ranking system with the support of big data technologies. Text sentiment analysis
is included in the developed ranking service system. The proposed approach has
promising potential of wide application across the service industry.
SA52