Informs 2015

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INFORMS Philadelphia – 2015
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3 - A Competitive Dynamics Approach to Supply Chain Management:
Competitive Action and Performance
Xinyi Ren, PhD Student, University of Maryland, 3330 Van
Munching Hall, College Park, MD, 20742, United States of
America, Christian Hofer,
Curtis Grimm, David Cantor
This study investigates how the actions of supplier and manufacturer (focal firm)
dyads impact focal firm’s performance. Grounded in competitive dynamics and
the relational view, theory will be developed regarding actions and performance.
A panel dataset will be built combining data from FACTSET, Compustat and
LexisNexis. This paper will contribute to both the competitive dynamics literature
and relational view by studying competitive actions in a supply chain context.
MB74
74-Room 204A, CC
Sustainable Operations in the Manufacturing Industry
Sponsor: Quality, Statistics and Reliability
Sponsored Session
Chair: Wilkistar Otieno, Assistant Professor, University of Wisconsin-
Milwaukee, 3200 N Cramer St, Milwaukee, WI, 53209,
United States of America,
1 - Inventory Optimization in a Three Echelon Closed Loop Supply
Chain with Stochastic Quality in Return
Sajjad Farahani, PhD Student, University of Wisconsin-
Milwuakee, 4046 N Wilson Dr Apt2, Milwaukee, WI, 53211,
United States of America, , Farshid Zandi,
Wilkistar Otieno
We considered three echelon closed loop supply chain in which returned product
arrive to the re-manufacturing system with different quality level inspect to
estimate needed time to re-manufacture as a new proposed an
analytical queuing models with the time value of money consideration to
optimize inventory level of two warehouses and the admission decision, which
decides on the acceptance of returned products based on quality and processing
time.
2 - A Simulation Based Model for Performance Evaluation of Control
Drive Remanufacture
Thomas Omwando, Graduate Student, University of
Wisconsin_Milwaukee, 3200 N Cramer St. EMS 503, Milwaukee,
WI, 53211, United States of America, ,
Wilkistar Otieno
Process complexities and uncertainties in product remanufacture affect system
performance. In this study a discrete event simulation approach is employed to
model process performance with the objective of improving system performance.
A case study of two product families in control drive remanufacture is used to
illustrate the applicability of the model. A sensitivity analysis is carried out to
assess the effect of changes in various decision variables on the overall system
performance.
3 - Warranty Analysis of Remanufactured Electrical Products
Yuxi Liu, Graduate Student, University of Wisconsin-Milwuakee,
3438 N Oakland Ave #302, Milwaukee, WI, 53211,
United States of America, , Wilkistar Otieno
This study considers a remanufactured electrical product under warranty.
Warranty is key ensuring a good manufacturer-consumer relationship.
Manufacturers hope to minimize warranty costs while consumers believe
warranty promises product quality. This paper presents an optimal warranty
period from the perspective of a manufacturer to maximize the total expected
profits, while sustained consumer relation. We use data from a local company
with a global supply chain to provide a numerical example.
MB75
75-Room 204B, CC
Managing Search and Problem Solving in
Innovation Settings
Cluster: New Product Development
Invited Session
Chair: Sezer Ülkü Associate Professor, Georgetown University
McDonough School of Business, 545 Hariri Building, 37 & O Streets,
Washington, DC, 20057, United States of America,
1 - When to Leave the Building? Search and Pivoting in a Lean
Startup
Onesun Steve Yoo, University College London, Gower Street,
London, WC1E 6BT, United Kingdom, , Kenan
Arifoglu, Tingliang Huang
An early stage entrepreneurial firm with a new product concept must maximize
the chance of successful product launch. To avoid developing an unwanted
product, practitioners suggest a lean approach to development, i.e., a firm should
iteratively launch an unfinished product to learn what the consumers want and
to alter the final product goal whenever necessary. We formalize this approach via
the Bayesian learning framework, and investigate the optimal development
strategy.
2 - How (and When) to Encourage Cooperation Across Projects
Fabian Sting, Erasmus University Rotterdam, Rotterdam School
of Management, 3000 DR Rotterdam, Netherlands
, Pascale Crama, Yaozhong Wu
Inspired by an innovative practice, we model a Project Management system that
incorporates and shapes cooperative problem solving. Help is at the core of this
system, in which project managers may ask for and provide help. We find that
companies should take a nuanced approach when designing help exchange and
time-based incentives.
3 - Search under Constraints - An Experimental Study
Sezer Ülkü, Associate Professor, Georgetown University
McDonough School of Business, 545 Hariri Building, 37 & O
Streets, Washington, DC, 20057, United States of America,
In contexts of innovation, slack resources are required due to the many
unknowns. At the same time, according to some, “necessity is the mother of
invention”, and resource constraints might improve innovative performance.
Through a series of experiments, we examine how constraints influence search
strategies, and the ultimate performance.
MB76
76-Room 204C, CC
Simulation Optimization and Input Uncertainty
Sponsor: Simulation
Sponsored Session
Chair: Enlu Zhou, Assistant Professor, Georgia Institute of Technology,
755 Ferst Drive, NW, Atlanta, GA, United States of America,
1 - Insights on Ranking and Selection when there is Input Uncertainty
Barry Nelson, Walter P. Murphy Professor, Northwestern
University, Dept. of IEMS, 2145 Sheridan Road, C210, Evanston,
IL, 60208, United States of America, ,
Eunhye Song
We examine the impact of input uncertainty (inaccuracies in the stochastic input
models that have been estimated from real-world data) on the simplest form of
simulation optimization: ranking and selection among a finite number of
alternatives. We show that the conclusions from the optimization must be altered,
establish the limits of what can be attained by increased simulation effort alone,
and suggest alternative ways to attack the problem that lead to interpretable
conclusions.
MB76