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Papers - submit! Model Development, Solution, and Analysis in Global Optimization - János D. Pintér The primary objective of this chapter is to summarize the key features and usage of the LGO modeling and solver system, as it is applied to several global optimization (GO) case studies described elsewhere in the volume 'Global Optimization - Selected Case Studies'. The discussion is extended by providing more general comments on GO models, solution strategies, software, test problems, and by pointing towards a broad range of existing and potential applications. 3D nonlinear inversion by Entropy of Image Contrast optimization - Ryzhikov, G.A. and Biryulina, M.S. The Extended Supply Chain - Dr. Kevin Mccormack and Katie Kasper The realities of today's digital economy are requiring and enabling dramatically improved levels of supply chain efficiency and effectiveness. The Business-to-Business (B2B) or Extended digital supply chain, enabled by Internet technologies, is specifically being offered as the next competitive weapon. This paper offers definitions and measures of the extended supply chain construct and reviews the results of an on-going benchmarking research project completed in cooperation with the U.S. and European Supply Chain Councils. This study found that Internet usage is just beginning in both the U.S. and Europe but has significant relationships to cross company (B2B) integrating practices that are key components of the Extended Supply Chain and Supply Chain Management performance. Keywords: supply chain, Internet, best practices, e-business, B2B Word count: 4112 The difficulty of finding savings with manual rostering - Stephen Aitken The very time consuming nature of the manual roster what-if activity makes it very challenging to calculate the change in cost for each of the variables. Scheduling employees in different industries - Stephen Aitken As industries compare and benchmark against each other it is becoming clear that all have the same objective. Combining Simulation & Optimization for Improved Business Decisions - OptTek Systems, Inc Simulation has often suffered a limitation arising from an inability to evaluate more than a fraction of the immense range of options available that has prevented it from uncovering the best decisions in critical practical settings. Decision makers have been faced with the "Catch 22" that many real world optimization problems can only be treated by using simulation models, but once these problems are submitted to simulation there are no optimization methods that can adequately cope with the challenge of searching for the best solutions. OptTek Systems, Inc. presents a practical new approach for effectively integrating simulation and optimization Operations Research in the e-Business Era - Arthur Geoffrion, Ramayya Krishnan This special issue of Interfaces on operations research (OR) in e-business carries a simple message: OR has a key role to play in the emerging digital economy. The message may be simple, but giving it substance as a collection of articles was not. We knew it was true from our many years of interest in the Internet's professional and business applications, from our long-term activities at the intersection of information technology with OR, and from teaching many e-business courses. Yet few of our colleagues and industry friends -- even ones who shared our interest in e-business -- were able to cite any OR applications in this area. Cooperative solvers (in Japanese) - KUSAKARI Kimiko, TAN Kiat Shi, KATAI Ferenc, GOSSELIN Vincent Projectile's Aerodynamic Drag Coefficient Curve Identification from Radar Measured Velocity Data - Yangquan Chen, Changyun Wen, Zhiming Gong Iterative Learning Identification of Aerodynamic Drag Curve From Tracking Radar Measurements - Frequency Assignment - Models and Algorithms (Ph.D. Thesis) - Arie M.C.A. Koster Frequency assignment problems occur in many different types of wireless communication networks. In the last decade, the rapid development of new wireless services like digital cellular phone networks resulted in a run out of the most important resource, frequencies in the radio spectrum. Like with all scarcely available resources, the cost of frequency-use provides the need for economic use of the available frequencies. Reuse of frequencies within a wireless communication network can offer considerable economies. However, reuse of frequencies may also lead to a loss of quality of communication links. The use of (almost) the same frequency for multiple wireless connections can cause an interference between the signals that is unacceptable. The frequency assignment problem balances the economies of reuse of frequencies and the loss of quality in the network. Quantification of the different aspects results in a mathematical optimization problem that can be solved with Operations Research techniques. In this thesis, first of all, we give an overview of proposed models, and techniques to solve frequency assignment problems. Next, we describe to methods for solving the minimum interference frequency assignment problem: integer programming and tree decomposition. With the latter method, and a combined method, lower bounds and optimal solution for instances from the CALMA project are derived. Select Papers on Supply Chain Management - INFORMS 120 pages on supply chain management. 7 recent papers that deal with various aspects of optimization in supply chain. Managing Operations through the Control of Information - Warren B. Powell Classical models of operational problems focus on pulling together the necessary data, formulating an objective function and constraints, and then working to develop an algorithm that can be used to solve the problem. In this paper, we argue that we should also focus on modeling the organization of information (and decision making) when we formulate a model. Just as it is important to properly model the flows of physical resources, we should also model the flow of information. When we applied this approach to an extremely large operational problem arising in railroads, we were able to transform what would otherwise be a hopelessly intractable problem into one that can be solved relatively easily. Lance-Lot White Paper - Jean-Daniel Cusin Summarizes what is wrong with the current or traditional approaches to production and inventory lot sizing in terms of competitive performance and the attainment of management goals. Demonstrates a novel approach to lot-sizing that takes into consideration the cost, operational constraints and management goals in determining optimized lot sizes. Presents Lance-Lot, an enabling technology of the above principles. Constraint Programming in Java - Andy Chun Logical Constraints as Cardinality Rules: Tight Representations - Egon Balas We give a linear characterization of the convex hull of 0-1 points satisfying logical conditions called cardinality rules, and we specify which inequalities are facet defining. Also, we give an efficient separation algorithm for the family of inequalities defining the convex hull. A Representational Paradigm for Dynamic Resource Transformation Problems - W.B. Powell and J. Shapiro This paper is the fundamental modeling paradigm for our work. It evolved over a two year period starting in 1997. As we have worked on harder and more complex problems, it became clear that we needed to focus attention on notation. This paper formally introduces a problem class that we call Dynamic Resource Transformation Problems. (This can be abbreviated DRTP, but we use DRiP since it is more pronouncable.) Sophisticated Analysis for Municipal Planning - Customer Valuation Analysis - Multi-Variant Monte Carlo Analysis - Regional Power Market Modeling - Bus Driver Duty Optimization by Combining Constraint Programming and Linear Programming - Amal de Silva This paper provides details of a successful application where the Column Generation Algorithm was used to combine Constraint Programming and Linear Programming. In the past, Constraint Programming and Linear Programmning were considered to be two competing technologies that solved similar types of problems. Both these technologies had their strengths and weakness'. This paper shows that the two technologies can be combined together to extract the strengths of both these technologies. Details of a real-world application to optimize bus driver duties is given here. This system was developed by ILOG for a major software house in Japan using ILOG Solver and ILOG CPLEX, constraint programming and linear programming C/C++ libraries.