2015 Informs Annual Meeting

MC79

INFORMS Philadelphia – 2015

MC78 78-Room 301, CC Integer Programming Applications in Energy Contributed Session Chair: Mohsen Rahmani, Research Scientist, Carnegie Mellon University, 5000 Forbes Ave, BH 131, Pittsburgh, PA, United States of America, rahmani@andrew.cmu.edu 1 - Supply Chain Network Optimization for Biomass Generation Qiu Dong, Huazhong University of Science and Technology, School of Management,1037Luoyu Road, Wuhan, 430074, China, 304520244@qq.com, Liu Zhixue This paper focuses on supply chain design for biomass generation plant. A new biomass supply mode with purchasing station is proposed. An integer programming model about facility location-allocation is build. And a genetic algorithm is design for the model. A case study of Xinneng Company, one of the biggest biomass generation companies of China, is used as an application of the proposed model. In addition, sensitivity analysis is conducted to provide deeper understanding of the proposed model. 2 - Mathematical Optimization Techniques for Selective Catalytic Reduction for a Fleet of Power Plants Antonio Alanis, University of Texas at Arlington, Box 19017 Arlington, TX, 76019, United States of America, antonio.alanispena@mavs.uta.edu, Jay Rosenberger, Anoop Ade Selective Catalytic Reduction (SCR) reduces emissions of oxides of nitrogen (NOx) in coal-fired power plants. With a given set of scheduled outages for a fleet of power plants, we use a multi-commodity flow problem with schedule elimination constraints from the literature and a modified knapsack problem to create an SCR management plan, which minimizes the total SCR operational cost of the entire fleet of power plants and maintains NOx emissions below a desired target. 3 - A Search Space Reduction Strategy for Security Constrained Unit Commitment Problem We proposed a special heuristic algorithm to reduce the number of variables and constraints in the day-ahead security constrained unit commitment (SCUC) problem. SCUC is a mixed integer linear programming problem (MIP) in which a least cost combination of generators are defined to follow the next day electricity demand while considering transmission and generator’s thermal and temporal constraints. The size of the SCUC is thus reduced, and it becomes tractable by the MIP solvers. 4 - Strategic Trading in a Multi-leader Multi-follower Framework Chiara Lo Prete, Assistant Professor Of Energy Economics, The Mohsen Rahmani, Research Scientist, Carnegie Mellon University, 5000 Forbes Ave, BH 131, Pittsburgh, PA, United States of America, rahmani@andrew.cmu.edu

3 - Norta Random Vector Generation with Deterministic Constraints Kalyani Nagaraj, Department of Statistics, Purdue University, 250 N University Street, West Lafayette, IN, 47907, United States of America, kalyanin@purdue.edu, Raghu Pasupathy, Soumyadip Ghosh, Jie Xu We consider the problem of a NORTA random vector generation with given deterministic constraints. This question is of relevance in settings such as CVaR estimation in finance, and estimation of expected penalties in large-scale service systems. We propose a Weibull-like importance sampling twist to NORTA that is easily implemented and frequently achieves surprising reductions in variance. We will discuss the asymptotic optimality of the proposed estimator with an implementable sampler. MC77 77-Room 300, CC Supply Chain Management VII Contributed Session Chair: Sang Won Kim, Assistant Professor, CUHK Business School, Shatin, N.T., HK, Hong Kong - PRC, skim@cuhk.edu.hk 1 - Competition under Power Structure in a Two-echelon Supply Chain Abhishek Chakraborty, XLRI, Jamshedpur, 831001, India, abhishekc@xlri.ac.in In this work we bring the importance of power in decision making in a two echelon supply chain in which a single manufacturer sells to multiple retailers. We have analyzed the role of differential power structure within the retailers in affecting the supply chain performance in a Manufacturer-Stackelberg case where the retailers compete on quantity. Further, we bring in the countervailing nature of the same where the benefits from the fringe retailers are passed on to the final customers. 2 - Revenue Management in a Manufacturing Supply Chain Ahmet Ozkul, Associate Professor Of Management, University of New Haven, 14 Wellington Dr, Orange, CT, 06477, United States of America, aozkul@newhaven.edu, Mehmet Barut In this paper, we take the yield/revenue management problem in a capacity restrained manufacturing company, and put it in a supply chain framework integrating customer order acceptance decisions with the supplier end in a manufacturing supply chain. A conceptual model is presented. 3 - How Joint Ventures Business Environment and Vertical Partnering Relationship Influence Performance Weixi Han, University of Southampton, Building 2 Highfield Campus, Southampton, SO17 1BJ, United Kingdom, WH3G12@soton.ac.uk There is a paucity of research regarding vertical partnering relationship played in a cross-border setting. This study focus on the dyadic relationships as the unit of analysis, using a qualitative case study and interview in the Chinese automotive industry, shows how relationship played is performance by both buyers and suppliers, and how it is critical when viewing the different nationalities joint ventures backgrounds. 4 - A Study on Supply Chain Sustainability Impact Factors and Related Empirical Analysis Zhiduan Xu, Professor, School of Management, Xiamen University, 422 Siming South Road, Xiamen, China, zhiduanx@xmu.edu.cn, Danxia Guo This paper mainly discusses the impact factors of supply chain sustainability. The empirical results showed that supply chain context has a significant positive effect on learning and development ability of the supply chain, and the learning and development ability have a significant positive effect on supply chain sustainability. Some of the cases in the enterprises have a significant effect on its supply chain context, learning and development ability, and supply chain sustainability. 5 - Supplier Development in Competitive Supply Chains Sang Won Kim, Assistant Professor, CUHK Business School, Shatin, N.T., HK, Hong Kong - PRC, skim@cuhk.edu.hk, Yannan Jin, Qiying Hu, Sean Zhou We study manufacturers’ decisions on supplier integration and supplier development in a competitive environment, considering two key factors: manufacturers’ capabilities and the supply structure. We find the efficiency improvement via supplier integration outweighs the negative impact of increased competition for the more capable manufacturer, and the reverse for the less capable. Also, the shared supply structure lowers market competition and strengthens the benefits of supplier integration.

Pennsylvania State University, 213 Hosler Building, University Park, PA, 16802, United States of America, chiaraloprete@psu.edu

Enforcement actions in regard to allegations of electricity price manipulation by financial players have been the source of a great deal of controversy in recent years. We focus on one type of manipulation strategy (placing unprofitable virtual bids to enhance the value of related FTR positions) and construct examples of equilibrium manipulation in the context of a multi-leader multi-follower game played by generators and financial players.

MC79 79-Room 302, CC

Software Demonstration Cluster: Software Demonstrations Invited Session 1 - AIMMS - Experience Optimization Modeling in Real Time Deanne Zhang, AIMMS Optimization Specialist What can you do in 45 minutes? Attend a lecture? Watch a TED Talk online? Maybe go on a 5-mile run? There is a lot that can be accomplished in 45 minutes that can provide both a sense of achievement and generates new ideas. We invite you to experience this same kind of feeling in a 45-minute journey with AIMMS! We are going to build an optimization model in real time and publish it on AIMMS PRO, an enterprise level app store. This 45-minute software demo will provide you with a fresh view of how AIMMS delivers broader usage and greater benefits for business users.

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