2015 Informs Annual Meeting

WB11

INFORMS Philadelphia – 2015

WB11 11-Franklin 1, Marriott Planning Contributed Session

5 - Advantages of Dual Sourcing in the Presence of a Demand-exploiting Supplier Sunny S. Yang, Southampton Business School, University of Southampton, Southampton, United Kingdom, s.s.yang@soton.ac.uk, Li-ming Chen, Moren Lévesque Dual sourcing has become a widespread supply-chain structure in today’s rapidly changing, competitive global markets. We analyze a supply chain model involving a new unproven supplier that is potentially unreliable but has the capability of increasing the end-product demand. We show that a business start-up can leverage its growth through an experienced supplier in the supply chain competing for the buyer’s order. WB10 10-Room 310, Marriott Openness and IT Sponsor: E-Business Sponsored Session Chair: Chen Zhang, Associate Professor, University of Memphis, Department of MIS, Fogelman College of Business and Econ, Memphis, TN, 38152, United States of America, czhang12@memphis.edu 1 - Adoption of Big Data Analytics in Healthcare: An Economic Perspective He Li, PhD Student, The University of Memphis, We investigate the effects of big data analytics (BDA) on health IT products competition. We model BDA’s healthcare efficiency and privacy risk from consumer perspective and BDA’s benefit and cost from provider perspective in a two-dimensional differentiation framework. Our model shows the impacts of BDA on firms’ performances and social welfare. The conditions when firms should invest on BDA are pointed. Implications, limitations, and future directions are also discussed. 2 - Platform Openness and Evolution of its Ecosystem Qizhi Dai, Associate Professor, Drexel University, United States of America, qd24@drexel.edu, Chen Zhang An IT platform and products compatible with this platform form an ecosystem, where the strategy of the platform provider plays a central role in determining the structure and evolutionary path of the ecosystem. This study empirically investigates the impact of the platform provider’s openness strategy on the performance of firms in its ecosystem, which in turn influences the performance of the platform provider. 3 - Adoption of Interorganizational Systems Standards under Two-sided Network Effects Kexin Zhao, Associate Professor, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC, United States of America, kzhao2@uncc.edu Interorganizational systems (IOS) standards play a critical role in achieving interoperability among supply chain partners. While users and vendors play distinct yet complementary roles in the market, no prior research has examined their adoption decisions simultaneously in a single study. We investigate IOS standards adoption from both users’ and vendors’ perspectives to reveal interesting cross-group complementarity in the technology adoption stage. 4 - An Empirical Study of Open Data Mobile Application Services Deepti Agrawal, Assistant Professor, College of Charleston, 66 George Street, Charleston, SC, 29424, United States of America, agrawald@cofc.edu Open data in government refers to making data generated by government transactions and sources available public in a usable format. Recently there has been a rise in mobile apps developed by government agencies and third parties that mash open data from different sources to enhance citizens’ experience and interaction with the government. This study aims to empirically examine the factors that influence the adoption of the open data mobile apps. Fogelman College of Business and Economi, Memphis, TN, United States of America, oliver.lihe@gmail.com, Jing Wu

Chair: Phillip O. Kriett, Technische Universitaat München, TUM School of Management, Arcisstrafle 21, München, 80333, Germany, phillip.kriett@tum.de 1 - Large-scale Transmission Capacity Expansion Planning under N-1 Contingency Analysis Mohammad Majidi Qadikolai, University of Texas at Austin, 1616 Guadalupe UTA 2.304, Austin, TX, 78712-1684, United States of America, m.majidi@utexas.edu, Ross Baldick We propose a method for large scale transmission expansion planning (TEP) by integrating N-1 contingency analysis into a mixed integer programming formulation. It uses contingency identification index integrated into a filtering algorithm to detect unimportant lines for contingency analysis in different loading conditions and remove them from the TEP optimization problem to reduce problem size. The numerical result shows the capabilities of the proposed method for solving challenging problems. 2 - Automatic Cell Design for Production Facility Manoj Gupta, XEROX, PTP, Karnataka, India, manoj.gupta@xerox.com, Sudhendu Rai, Jagadeesh Prabhakara Consider a cell design algorithm in a print shop facility in which we have to assign machines to cells such that for the arriving jobs, the following quantities are minimized. 1)Number of late jobs. 2)Define the inter cellular movement of a job J, the inter cellular movement of J is the number of times a job J moves from one cell to the other. We design an algorithm that assigns machines to cells such that both the above quantities are minimized. 3 - Optimization Technique for Energy Storage Control in Distribution Network Khashayar Mahani, Rutgers the State University of New Jersey, 96 Frelinghuysen Road, Piscataway, NJ, United States of America, mahani.khashayar@gmail.com, Mohsen Jafari Finding near optimal control schemes,including various applications of Energy Storage Systems (ESSs) has been a challenge for utilities and micro-grid (MG) operators.In this presentation,we consider a utility-owned distribution system or MG with high penetration of renewable resources.We present an approximate model for both capacity planning and optimal operation of ESSs in the distribution network.Efficient control is obtained by analyzing the inputs’ behavior which affects the optimal action. 4 - Confessions of a Supply Chain Architect Katariina Kemppainen, School of Business, Aalto University, Runeberginkatu 22-24, Helsinki, 00076 Aalt, Finland, katariina.kemppainen@aalto.fi Coming from the POMS community and landing as Vice President at AMR Best Supply Chain Award Winner, what did I see over the seven years? A highly integrated Sales & Operations Planning process with basic methods, decision- making biases and myopic KPIs for outrageously complex and dynamic operations, and a major transformation program to bring it up-to-date. Come to share our experiences dealing with the epic business process that could boost the relevance and rigor of our research. 5 - Generation of Low-dimensional Capacity Constraints for Unrelated Parallel Machines Phillip O. Kriett, Technische Universität Mönchen, TUM School of Management, Arcisstrafle 21, Mönchen, 80333, Germany, phillip.kriett@tum.de, Martin Grunow We generate the non-redundant set of low-dimensional linear capacity constraints that model the feasible throughput of unrelated parallel machines. Such constraints allow rapid feasibility assessment of production plans by simple insertion. We decompose constraint generation into the Minkowski addition and the facet enumeration of convex polytopes. Since the complexity of solution algorithms is critical, we reduce the problem size based on symmetries among machines and graph partitioning.

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