2015 Informs Annual Meeting

TC62

INFORMS Philadelphia – 2015

TC60 60-Room 111A, CC Disruption Management Contributed Session

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, Jose.Cruz@business.uconn.edu 1 - Corporate Social Responsibility and Supply Chain Profitability Zugang Liu, Associate Professor, Penn State Hazleton, 76 University Dr, Hazleton, PA, United States of America, zxl23@psu.edu, 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, trdanderson@txwes.edu, 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, Jose.Cruz@business.uconn.edu 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, john.dickson@mavs.uta.edu, 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, mm2006@msstate.edu 1 - Designing a Dynamic Multimodal Transportation Network under Biomass Supply Uncertainty Sushil Poudel, Mississippi State University, Starkville, MS, United States of America, srp224@msstate.edu, 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.

Chair: Min Ouyang, Associate Professor, Huazhong University of Science and Technology, Room W308 in S1 Building, 1037 Luoyu Road, Wuan, 430074, China, mouyang618@gmail.com 1 - Transportation Network Protection: A Model with Variable Flow Demand Stefano Starita, PhD Researcher, Kent Business School, University 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, rokimi@op.pl, 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, ld002@uark.edu, 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, gbeh681@aucklanduni.ac.nz, 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, mouyang618@gmail.com 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. of Kent, University of Kent, Canterbury, CT2 7PE, United Kingdom, s.starita@kent.ac.uk, Dr. Maria Paola Scaparra

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