Informs Annual Meeting Phoenix 2018

TA46

INFORMS Phoenix – 2018

uncertain data, linear optimization with non-convex quadratic constraints (QCLO), mixed integer linear optimization (MILO), and stochastic optimization that arise from the following three topics in the risk analysis of financial networks: (i) vulnerability analysis; (ii) identification of the least stable network structure; (iii) risk mitigation.

n TA46 North Bldg 228B Energy System Optimization Sponsored: Energy, Natural Res & the Environment/Energy Sponsored Session Chair: Kai Pan, Hong Kong Polytechnic University, M507a, 5/F, Li Ka Shing Tower, Kowloon, Hong Kong 1 - High Performance Computing Based Real-time Power System Contingency Analysis Considering Corrective Actions Yong Fu, PhD, Mississippi State University, Mississippi State, MS, 39762, United States To achieve a high level of power system reliability, higher order contingencies should be included in the real-time system operation analysis. This presentation will discuss a high performance computing compatible comprehensive framework to enable real-time power system contingency analysis with consideration of various combinations of contingency events. The proposed approach ensures all decomposed subproblems scalable and tractable. In addition, the proposed approach is implemented on the high performance computing platform that significantly reduces the computation time to meet real-time operation requirements while improving the power system operation to a higher level. 2 - Demand Response in Data Centers via Integration of Server Provisioning and Power Procurement Soongeol Kwon, Binghamton University, SUNY, 4400 Vestal Pkwy E, Systems Science and Industrial Engineering, Binghamton, NY, 13902, United States Data centers consume a phenomenal amount of energy that contributes to huge energy costs and CO2 emissions. Thus, data centers have been striving to improve energy-efficiency, meet power demand load in response to the time of use rate, and utilize clean renewable energy. This study is motivated by the unique opportunity to improve the current practice by facilitating demand response based on the co-optimization of server operations and power procurement. The main objective of this study is to develop a decision-making model for applying demand response to data centers, and this study evaluates the quantitative benefits of the proposed model through numerical experiments using real historical data. 3 - Co-optimizing Energy and Ancillary Services Kai Pan, Hong Kong Polytechnic University, M507a, 5/F, Li Ka Shing Tower, Kowloon, Hong Kong, Jianqiu Huang, Yongpei Guan To ensure system reliability, ancillary services are introduced for power system operations to reserve excess generation capacities so as to accommodate uncertainties. In this paper, we develop an optimization model for system operators to efficiently schedule the generation assets, so as to jointly optimize power generation and ancillary services. 4 - A Fully-distributed Asynchronous Approach for Multi-area Coordinated Network-constrained Unit Commitment Lei Wu, Clarkson University, 8 Clarkson Avenue, P.O. Box 5720, Potsdam, NY, 13676, United States A consensus-based alternating direction method of multipliers (ADMM) approach is discussed to solve the multi-area coordinated network-constrained unit commitment (NCUC) in a distributed manner, including: (i) A tie-line power flow based area coordination strategy is designed to reduce global consensus variables; (ii) Different penalty parameters ? are assigned to individual consensus variables and are updated via certain rules during the iterative procedure; (iii) Heuristic rules are adopted to fix certain unit commitment variables for avoiding oscillations; and (iv) An asynchronous distributed strategy is studied. Optimization Modeling and Techniques for Systemic Risk Assessment and Control in Financial Networks Emerging Topic Session Chair: Douglas Shier, Clemson University, Dept Mathematical Sciences, Clemson, SC, 29634-0975, United States 1 - Optimization Modeling and Techniques for Systemic Risk Assessment and Control in Financial Networks John R. Birge, University of Chicago, Booth School of Business, 5807 South Woodlawn Avenue, Chicago, IL, 60637, United States, Jiming Peng, Aein Khabazian Since the crisis in 2007-2008, the assessment and control of systemic risk in financial networks has become one of the most important and active research areas in economics and finance. In this tutorial, we give a basic introduction to various optimization models including linear optimization problems (LO) with n TA47 North Bldg 229A

n TA48 North Bldg 229B

Supply Chain Information Disclosure Workshop Sponsored: Energy, Natural Res & the Environment Environment & Sustainability Sponsored Session Chair: Donna Marshall, University College-Dublin, Dublin, Ireland Co-Chair: Steve New, University of Oxford, United Kingdom 1 - Untangling Sustainability - Comparing Processes for Social and Environmental Performance at Chinese Suppliers Veronica H. Villena, Penn State University, 412 Business Building, Supply Chain and Information Systems, State College, PA, 16802, United States, Miriam Wilheim, Cheng Yong Xiao We use a multi-method approach to untangle the drivers of environmental and social sustainability. We first conducted a case study with nine Chinese suppliers and then analyzed longitudinal data for 145 Chinese suppliers in the 2013-1017 period. Our study offers a systematic comparison between the environmental and social sustainability and reveals the drivers for each dimension of sustainability. 2 - Blockchain Research in Supply Chain Management: A Structured Literature Review David Swanson, University of North Florida, Jacksonville, FL, United States, Dawn Russell, Jin Yao, Kristoffer Francisco This research provides results from a systematic literature review on blockchain literature in supply chain management from January 2015 through August 2018. Research articles are coded by theories used, journal, author, discipline, subject, methodology, and other criteria. Information is tabularized and graphed to ease interpretation. The tables are presented so that researchers can use the information for their own research into supply chain applications of blockchain. Conclusions and implications for academia and practice are drawn from the data. 3 - Reveal the Supplier List? A Trade-off in Capacity vs. Responsibility Kalkanci Basak, Georgia Institute of Technology, Atlanta, GA, United States, Erica Plambeck Some buying firms, facing scrutiny regarding social and environmental violations in their suppliers’ operations, have recently made commitments to publish the identities of their current and/or terminated suppliers. In this paper, we study the trade-offs faced by a buying firm in deciding whether or not to make such transparency commitments. We identify the conditions under which a buying firm should commit to publish its supplier list, and the conditions under which the buying firm should make complementary investments to help the supplier become more productive. 4 - A Longitudinal Investigation of Supply Chain Information Disclosure in the Electronic Industry: The Case of Hewlett Packard Uche Okongwu, Professor of Supply Chain Management, Toulouse Business School, 20 Boulevard Lascrosses, Toulouse, 31000, France It has been reported in the literature that disclosure requirements are transitioning from voluntary to mandatory as sustainability reporting becomes required by regulators and stakeholders. Therefore, some research is needed to investigate the extent as well as the speed at which companies are gaining maturity in disclosing sustainability information. By conducting a longitudinal study, this paper looks at the evolution of supply chain sustainability information disclosed by Hewlett Packard, a leading electronic company. To carry out this study, we used a framework that takes into consideration three components: the category, the nature and the measurability of the information disclosed. 5 - Drivers and Outcomes of Supply Chain Information Disclosure Donna Marshall, University College Dublin, Carysfort Road, Dublin, Ireland, Lucy McCarthy, Paul McGrath This study shows the development of a theory of supply chain information disclosure. We develop 16 cases from fashion, electronics, medical devices and pharmaceuticals in order to build a model of supply chain information disclosure and understand the drivers, barriers and outcomes of disclosure across the four industries and within the industries and cases.

n TA49 North Bldg 230 Joint Session SOLA/ENRE: Resource Management in

260