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SA08 ■ SA08 Aula 355- Third Floor Decision Support Systems Contributed Session Chair: Sasa Bosnjak, Professor, University of Novi Sad, Faculty of Economics Subotica, Segedinski Road 9-11, Subotica, 24000, Serbia- Montenegro, sasabosnjak1996@gmail.com 1 - Cotton Stalks Biomass Utilization for Cement or for Bioethanol Production? A LCIA Approach Costas Pappis, University of Piraeus, Department of Industrial Management and Technology, 80 Karaoli and Dimitriou Street, 18534, Piraeus, Greece, evpet@otenet.gr, Evangelos Petrou Cotton stalks may be used, apart from bioethanol production, in its raw form as a fuel in production systems. In this paper a case study is presented, where the results of a Life Cycle Impacts Assessment implemented on a particular supply system involving cement works in Greece are assessed. These results are compared for decision making purposes with the impacts resulting when cotton stalks are used for bioethanol production. A powerful software is used for the realization of this LCIA study. 2 - HERCULES Decision Support System Applied to Public Transport System: Prototype and Case Study Diego Branca, Universidad de Palermo, Mario Bravo 1050 - Piso 10. AIGroup, CABA, Argentina, dbranca@gmail.com, Santiago Bosio, Gustavo Janezic, Juan Pablo Musella, Francisco Milano, Daniela López De Luise, James Stuart Milne, German Ricchini, Paula Schuff The aim of this research is the implementation of a DSS based on several criteria: macro, microeconomical, socio-economical, socio-political and specific industry.Variable selection and management related to mentioned models criteria are studied. It is also analyzed meta-question design and its specific questions at the moment to define system capacities. 3 - Multicriteria Model to Improve the Use of Performance Evaluation Instruments with Focus on Indicators Edilson Giffhorn, MSc. in Production Engineering, Federal University of Santa Catarina, UFSC - Brazil, Rod. Amaro António Vieira, 655, Apt.106E, Florianópolis, 88034-101, Brazil, edilson.giffhorn@gmail.com, Leonardo Ensslin, Sandra Rolim Ensslin, William Vianna The aim of this paper is to present a process for improving the way to use the instruments of performance assessment on their way to identify, organize, measure and use the Performance Indicators. For this, was used the MCDA-C approach due to their differential over other multicriteria methods. The model guides the selection/construction of indicators, the construction of the scales and proposes ways to improve the evaluation tools in order to promote the global assessment. 4 - Development of Specific Decision Support Systems Adriana Clericuzi, Professor, Universidade Federal de Pernambuco UFPE, Rua Adelia Emilia Florencio, 160, M. de Nassau, Caruaru, PE, 55016395, Brazil, clericuzi@hotmail.com Applications of Decision Support Systems (DSS) are increasing as a tool for solving problems and reduce the uncertainty in decision making process. Its require design techniques that are different from traditional Information Systems, they must be developed to permit changes to be made quickly and easily (SPRAGUE and WATSON, 1989; CLERICUZI, 2006). This paper proposes a model to design specific DSS that incorporate issues identified as essential for the success of the implementation of DSS. 5 - OLAP – Support to Policy Makers in Sector of the Small and Medium Sized Enterprises Sasa Bosnjak, Professor, University of Novi Sad, Faculty of Economics Subotica, Segedinski Road 9-11, Subotica, 24000, Serbia- Montenegro, sasabosnjak1996@gmail.com, Zita Boshnjak, Olivera Grljevic The Sector of SMEs is one of the most important sectors for boosting regional economic development. A variety of different data on the SMEs sector exists and imposes the need for comprehensive analysis, as a basis to support decision-making process in dynamic development of this sector. Different OLAP techniques applied to the analyzes of data on small and medium sized enterprises gives support to policy makers in improved decision making process. <strong>ALIO</strong> / INFORMS International – 2010 24 ■ SA09 Aula 356- Third Floor Statistics Contributed Session Chair: Gastao Gomes, Professor Associado, Universidade Federal do Rio de Janeiro, DME-IM-UFRJ; Caixa Postal 68530, Rio de Janeiro, RJ, 21945-970, Brazil, gastao@im.ufrj.br 1 - Index of Phonological Similarity Between Target Item and Substitutions in the Production of Aphasic Christina Gomes, Associate Professor, Universidade Federal do Rio de Janeiro, Rua Major Ricardo 34 - Valparaíso, Petropolis, 25.655-280, Brazil, christina-gomes@uol.com.br, Fernanda Senna, Gastao Gomes This work proposes a Phonological Similarity Index (ISS) to evaluate the degree of similarity between a target item and error produced by aphasic individuals. ISS considers the number of segments shared between target and substitution (Nseg) and the target size (TA) and the substitution size (TS). The equation of ISS = Nseg * 2 / (TA + TS) results in values between 0 and 1. The results revealed the validity of the index in order to capture the phonological complexity of the substitutions. 2 - Factorial Analysis Applied to Accidents on Highway Fabio Andre Negri Balbo, UFPR, Rua: João Itibere, 565, Curitiba, Brazil, andrebalbo@gmail.com, Adilandri Mercio Lobeiro, Liliana Gramani Cumin, Marina V. R. P. G. Ferreira, Anselmo Chaves Neto, Eloy Kaviski, Rudinei Luiz Bogo, Nivaldo Aparecido Minervi Vehicle traffic on highways has increased dramatically and the number of accidents also. Data relating accidents at a road was studied by factorial analysis, identifying interrelations among alls the variables, described in accidents, explaining them in terms of common factors. These factors, in a much smaller number, explain the alls the variables with minimal loss of information. Thus one identifies the causes of accidents, so they can be made future planning in order to solve this problem. 3 - Scielo Journals Preliminary Bibliometric Analysis Lorena Pradenas, Professor, Universidad de Concepción, Casilla 160-c, Correo 3, Concepción, Chile, lpradena@udec.cl, Jennifer Alexander, Víctor Parada, Robert Scherer The scientific journals are sources or stores of important information and of interest to researchers, academics, practitioner and services. They allow developing state of the art, literature review and guidelines for new development. Authorship is also used in evaluations, promotions and strengthening academic curriculum of academics and professionals. This study makes a preliminary bibliometric research of over 560 Scielo journals and considering 177 in the Management Science and Engineering. 4 - Multiple Correspondence Analysis: Testing the True Dimensions of a Study Gastao Gomes, Professor Associado, Universidade Federal do Rio de Janeiro, DME-IM-UFRJ; Caixa Postal 68530, Rio de Janeiro, RJ, 21945-970, Brazil, gastao@im.ufrj.br, Sergio Camiz In Multiple Correspondence Analysis (MCA), the choice of the number of factors to take into account reveals particularly difficult. Unlike Simple Correspondence Analysis, in which each eigenvalue contributes to the table chi-square and may be tested for significance, in MCA the eigenvalues represent a sum of canonical correlations, the inertia explained by the main factors must be re-evaluated. We will discuss some possible solutions, taking into account the reconstruction formulas. ■ SA10 Aula 357- Third Floor Defense Applications Sponsor: INFORMS Computing Society Sponsored Session Chair: Robert Dell, Professor and Chair of Operations Research, Operations Research Deparment, Naval Postgraduate School, Monterey, CA, 93943, United States of America, dell@nps.edu 1 - Network Optimization Models for Resource Allocation in Developing Counter Measures Moshe Kress, Naval Postgraduate School, 1411 Cunningham Rd GL 239, Monterey, CA, 93943, United States of America, mkress@nps.edu, Boaz Golany, Michal Penn, Uriel Rothblum A military arms race is characterized by an iterative development of measures and countermeasures. An attacker attempts to introduce new weapons whereas a defender attempts to develop countermeasures for these weapons. The defender has to decide which countermeasures should be developed and how much should be invested in their development. We formulate the problem as a constrained shortest path problem and demonstrate the potential applicability of this approach.
2 - A Ship Track Anomaly Detection Algorithm Ronald Pelot, Professor, Dalhousie University, Dept. of Industrial Engineering, P.O. Box 1000, Halifax, NS, B3J 2X4, Canada, ronald.pelot@dal.ca, R.C. Hilliard, Dong Lin Monitoring ship movements is important for coastal safety and security. One indicator of a potential problem is remotely observing a vessel which is not following typical routes, whether due to a navigation error, the ship being disabled, or nefarious purposes. In this study, a method was developed for reconstructing typical shipping routes from historical data, and then applying a control limit procedure to identify an abnormal vessel trajectory relative to the normal paths. 3 - Optimizing Security Force Generation Robert Dell, Professor and Chair of Operations Research, Operations Research Deparment, Naval Postgraduate School, Monterey, CA, 93943, United States of America, dell@nps.edu, Patrick Workman We present a linear program to plan the generation of a recently established security force over an unknown (infinite) horizon. Unlike standard personnel models, our linear program combines the growth of enlisted and officer corps a well as accessions from a legacy force. We demonstrate our model using current data for the Afghan National Army under scenarios focused on the recently announced need to grow it from 81,000 soldiers. ■ SA11 Aula 362- Third Floor Nonlinear Optimization: Algorithms and Applications I Cluster: Nonlinear Optimization Invited Session Chair: Cristina Maciel, Full Professor, Universidad Nacional del Sur, Av. Alem 1253, Bahía Blanca, BA, B8000FWB, Argentina, immaciel@criba.edu.ar 1 - Generalized Complementarity Problems in Polyhedral Cones via Second-order Interior-point Methods Sandra Santos, Associate Professor, Universidade Estadual de Campinas, R Sergio Buarque de Hollanda, 651, Campinas, SP, 13083-859, Brazil, sandra@ime.unicamp.br, Wesley Shirabayashi, Roberto Andreani The solution of the Generalized Nonlinear Complementarity Problem (GNCP) in polyhedral cones is addressed by two interior-point strategies: a perturbed Newton method and a predictor-corrector method, based on the Chebyshev-Halley family of methods for nonlinear systems. Quadratic local convergence results are proved under usual assumptions. Numerical experiments show that the proposed predictorcorrector method is implementable and competitive with Newton’s method for some problems. 2 - Convergence of the Incomplete Projections Method for Solving Box Constrained Least Squares Problems Nélida Echebest, Universidad Nacional de La Plata, 50 y 115. La Plata, La Plata, 1900, Argentina, opti@mate.unlp.edu.ar, Hugo Scolnik, Maria Teresa Guardarucci The aim of this paper is to extend the applicability of the IOP lgorithm (Scolnik et al. 2008) for solving inconsistent linear systems to the box constrained case which arises in many important applications and optimization problems. The new algorithm employs incomplete projections onto the set of solutions of the augmented system Ax-r=b, together with the box constraints. The convergence and numerical experiments will be presented comparing its performance with some well-known methods. 3 - Nonlinear Programming Algorithms Based on Trust Regions and Filters with a Non Monotone Scheme Maria Mendonça, Universidad Nacional de la Patagonia San Juan Bosco, San Martín N∫ 1426, Comodoro Rivadavia, Ch, U9000AJD, Argentina, mendonca@ing.unp.edu.ar, Cristina Maciel This work presents a model algorithm based on the trust region approach for solving the non lineal optimization problem with equality and box constraints. The trial step is computed via the spectral projected gradient method. The filter to evaluate the step follows a non monotone scheme. The properties of the step and the way that the filter is built allow establishing the well definition and global convergence of the algorithm. Numerical results are reported. <strong>ALIO</strong> / INFORMS International – 2010 SA12 25 ■ SA12 Aula 363- Third Floor Supply-Chain Management Cluster: Special Invited Sessions Invited Session Chair: Leroy B. Schwarz, Louis A Weil Jr. Professor, Purdue University, Department of Management, 403 W. State Street, West Lafayette, IN, 47907, United States of America, lschwarz@purdue.edu 1 - A Synthesis of Supply Chain Contracts Chester Chambers, Assistant Professor, Carey Business School, Johns Hopkins University, 100 North Charles Street, Baltimore, MD, 21204, United States of America, cchamber@jhu.edu A variety of purchasing contracts for effective supply chain management have been studied. In analyzing contracts, researchers strive to establish conditions under which each contract type achieves coordination. By leveraging basic properties of efficient contracts for deterministic models, we provide a common platform to study when coordination can be achieved by contracts for models which feature demand uncertainty, unobserved effort by agents, or information asymmetry. 2 - Delivering Customer Value Through Product Servicization Morris Cohen, Professor, Wharton School, University of Pennsylvania, 546 JMHH, Philadelphia, PA, 19104, United States of America, cohen@wharton.upenn.edu Companies have the opportunity to increase revenue, profit and market share by focusing not just on the tangible products they produce, but on the value that their customers derive from the use of those products. This strategy, referred to as servicization, is critical in today’s business environment. This talk presents a model framework for servicization based on customer / supplier incentives and optimization of service supply chain assets for repair, maintenance and parts logistics. 3 - The Unusual Impact of Information-sharing on US Pharmaceutical Supply-chains Leroy B. Schwarz, Louis A Weil Jr. Professor, Purdue University, Department of Management, 403 W. State Street, West Lafayette, IN, 47907, United States of America, lschwarz@purdue.edu, Hui Zhao We examine the introduction of information-sharing into the supply chains for pharmaceutical products in the US. This introduction was unusual, first, because it was catalyzed from outside the industry. Second, it was initiated by pharmaceutical manufacturers in order to keep distributor inventories low! Third, although its effect on pharmaceutical distributors was and remains profound, it has evidently had no impact on pharmaceutical manufacturers’ own inventory-management practices. ■ SA13 Aula 364- Third Floor Sustainable Development Contributed Session Chair: Viktorija Bojovic, Teaching Assistant, Faculty of Economics, 9-11 Segedinski put, Subotica, 24000, Serbia-Montenegro, vbojovic@uns.ac.rs 1 - Strategies for Remanufacturing Returned Products Farhad Azadivar, Professor, University of Massachusetts Dartmouth, 40 William Street, South Dartmouth, MA, 02748, United States of America, fazadivar@umassd.edu, Sharon Ordoobadi To succeed in a competitive market manufacturers provide more generous return policies for their products. Using non-defective parts recovered from the returned products in after-market units is a positive act to protect the environment. This option, however, can only be justified if the cost of the remanufactured product is competitive with the primary product. We provide a methodology for setting decision rules for justification of remanufacturing option under a variety of scenarios. 2 - An Optimization Model to Estimate the Emissions of Pollutant Gases of Spanish Livestock Baldomero Segura, Professor, Universidad Politénica de Valencia, D.Economia y CS.Camino de Vera s/n, Valencia, Spain, bsegura@upvnet.upv.es, Concepción Maroto, Antonio Torres In this work we present a new methodology to estimate the emissions of pollutant gases of Spanish livestock taking into account national practices in nutrition for animal production. Firstly, we have developed an aggregate linear programming model that permits us to estimate the most important emission factors from diet of animal production. Secondly, we have analysed the solution sensitivity to model data. Finally, we have developed an easy-to-understand, flexible, complete and robust model.
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