Informs 2015

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INFORMS Philadelphia – 2015
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TC60
60-Room 111A, CC
Disruption Management
Contributed Session
Chair: Min Ouyang, Associate Professor, Huazhong University of
Science and Technology, Room W308 in S1 Building, 1037 Luoyu
Road, Wuan, 430074, China,
1 - Transportation Network Protection: A Model with Variable Flow
Demand
Stefano Starita, PhD Researcher, Kent Business School, University
of Kent, University of Kent, Canterbury, CT2 7PE, United
Kingdom, Dr. Maria Paola Scaparra
Protecting transportation infrastructure is critical to avoid life and economic
losses. We model a fortification problem on an all-pairs, flow-based network. To
model system users’ behavior, the traffic demand is assumed to be dependent on
the length of the shortest path available. We present an efficient heuristic solution
approach and a case study on the London tube.
2 - Comparison of Supply Chain Recovery Policies After a
Major Disruption
Joanna Marszewska, Assistant Professor, Jagiellonian University,
Department of Japanology and Sinology, Krakow, 31120, Poland,
Tadeusz Sawik
Different recovery policies of a supply chain after major disruption caused by
natural disasters are presented. The Japan’s competiveness-robustness dilemma is
discussed against a resilient supply chain design strategy. Single, dual or multiple
sourcing, improved suppliers visibility, protection of suppliers against natural
disasters and prepositioning of emergency inventory of product-specific parts
along a supply chain are considered and their impact on the recovery process is
analyzed.
3 - Cargo Prioritization and Terminal Allocation in Case of Inland
Waterway Disruption
Liliana Delgado Hidalgo, Graduate Student, University of
Arkansas, 4207 Bell Engineering Center, Fayetteville, AR, 72701,
United States of America, Heather Nachtmann
We propose a solution approach to reroute barges in case of an Inland waterway
disruption. The first part of the solution uses an Analytic Hierarchical Process
(AHP) to assign priority index to the barges. We formulate a Integer Linear
Problem to assign the barges to the terminals where the cargo is offloaded to be
transported by a different transportation mode. The AHP results are used to
schedule the barges assigned to a terminal. A case example is presented to
illustrate our results.
4 - Resilient Design in Agribusiness Supply Chain under
Supply Disruptions
Golnar Behzadi, PhD Student, University of Auckland, Level 2,
Room 439-215,70 Symonds St, Auckland, 1010, New Zealand,
Abraham Zhang, Tava Olsen,
Michael O’sullivan
Agribusiness supply chains have limited lifecycle of products, seasonality of
supply and demand, long lead time for production and delivery, and supply that is
affected by climatic variability, which makes them especially vulnerable to supply
disruptions. A special approach to risk management is required and here we
consider resilience. Resilience incorporates concepts from vulnerability and risk
management to address the recovery of a system from disruptions (rare high-
impact risks).
5 - Decision Support for Critical Infrastructure
Resilience Enhancement
Min Ouyang, Associate Professor, Huazhong University of Science
and Technology, Room W308 in S1 Building, 1037 Luoyu Road,
Wuan, 430074, China,
It develops a framework of resilience decision support system RDSS for critical
infrastructures. This RDSS includes seven modules: Data Input, Property Statistics,
Scenario Generation, Vulnerability Analysis, Restoration Simulation, Resilience
Assessment and Strategy Exploration, which together allow for statistically and
visually exploration of critical infrastructure system resilience under point and
period disruption scenarios and facilitates effectiveness analysis of resilience
strategies.
TC61
61-Room 111B, CC
Sustainable and Responsible Supply Chain
Management
Sponsor: ENRE – Environment I – Environment and Sustainability
Sponsored Session
Chair: Jose Cruz, Associate Professor, University of Connecticut,
2100 Hilllside Road, Storrs, CT, 06269, United States of America,
1 - Corporate Social Responsibility and Supply Chain Profitability
Zugang Liu, Associate Professor, Penn State Hazleton, 76
University Dr, Hazleton, PA, United States of America,
, Trisha Anderson, Jose Cruz
We find that environmental and social responsible activities have different
impacts on different stages of supply chains. For manufacturers, positive social
activities and negative environmental activities increase the return on assets; for
wholesalers, neither social nor environmental activities has significant impact; for
retailers, negative environmental activities negatively affect the return on assets.
2 - The Amazon Tax and E-tailer Supply Chains
Trisha Anderson, Associate Professor, Texas Wesleyan University,
1201 Wesleyan Street, Fort Worth, TX, United States of America,
Kevin Mcgarry
We study two hypothesis to address a key legal question that e-tailers consider
when opening up distribution centers: whether they should operate under the
assumption that collecting state sales tax for all online transactions is inevitable or
continue to strategically position themselves to minimize the tax burden where
possible, even if it compromises supply chain strategic positioning. We also study
the environmental implications of these e-tailer supply chain decisions.
3 - Social Responsibility Investments: Financial Networks,
Transaction Cost, and Risk Effects
Jose Cruz, Associate Professor, University of Connecticut, 2
100 Hilllside Road, Storrs, CT, 06269, United States of America,
This paper develops a network equilibrium model in conjunction with capital
asset pricing model (CAPM) and the net present value (NPV) to determine the
optimal portfolio, prices, profits, and equity values of financial network firms
under financial risks and economic uncertainty. We investigate how social
responsible financial investment decisions affect the values of interconnected
financial firms from a network perspective.
4 - Green Building Decision-making using an Exploration and
Exploitation Approach
John Dickson, Symphony Teleca Analytics, 5360, Legacy Drive,
Plano, TX, United States of America, ,
Jay Rosenberger, Victoria Chen
The experiments or simulations conducted by computers can be a tedious task,
which require substantial computational time. This research focuses on
developing a surrogate based optimization, in which we iteratively build a
surrogate model, using few points and then optimize the model by adding more
points until the best solution is found. A single story residential green building
based in California is used as a case study.
TC62
62-Room 112A, CC
Optimization in Bio-energy
Cluster: Energy Systems: Design, Operation, Reliability and
Maintenance
Invited Session
Chair: Mohammad Marufuzzaman, Mississippi State University,
Industrial & Systems Engineering, Starkville, MS, 39762,
United States of America,
1 - Designing a Dynamic Multimodal Transportation Network under
Biomass Supply Uncertainty
Sushil Poudel, Mississippi State University, Starkville, MS,
United States of America, , Mohammad
Marufuzzaman, Linkan Bian, Hugh Medal
This study presents a two-stage stochastic programming model that assigns multi-
modal facilities dynamically to design a biomass supply chain network under
feedstock supply uncertainty. We develop algorithms combining sample average
algorithm, progressive hedging algorithm, and rolling horizon algorithm to solve
this challenging NP-hard problem.
TC62