MATHEMATICAL optimization, ALGORITHMS, INTEGER programming, OPERATIONS research, INDUSTRIAL engineering, and CUTTING stock problem
The rate at which research ideas can be prototyped is significantly increased when re-useable software components are employed. A mission of the Computational Infrastructure for Operations Research (COIN-OR) initiative is to promote the development and use of re-useable open-source tools for operations research professionals. In this paper, we introduce the COIN-OR initiative and survey recent progress in integer programming that utilizes COIN-OR components. In particular, we present an implementation of an algorithm for finding integer-optimal solutions to a cutting-stock problem. [ABSTRACT FROM AUTHOR]
Process & Control Engineering (PACE). Aug2005, Vol. 58 Issue 7, p32-34. 2p.
RAPID prototyping, PROTOTYPES, ALGORITHMS, SYSTEMS design, INDUSTRIAL engineering, and EMBEDDED computer systems
Recognizes rapid prototyping as a fast-emerging trend in the embedded systems development process. Assessment of the feasibility of an algorithm in providing the correct behavior for a highly complex system; Similarities of the conventional bypass and on-target rapid prototyping approaches; Use of rapid prototyping for development and refinement of algorithms and ideas during the development process.
International Journal of Production Research. 9/10/2000, Vol. 38 Issue 13, p2891-2909. 19p. 23 Diagrams.
MANUFACTURING processes, ALGORITHMS, PRODUCTION engineering, INDUSTRIAL engineering, RAPID prototyping, MANUFACTURING execution systems, COMPUTER vision, and CONFIGURATION space
Visibility arising from computer vision, geometrical design and complexity analysis is widely used in manufacturing processes. According to the definition of the visibility cone of a point, two kinds of visibility of a feature, namely a complete visibility cone and a partial visibility cone, are defined, and the relation between visibility map and complete visibility cone is also discussed. To solve a kind of accessibility and setup problem in mold parting, NC-machining and CMMs inspection path planning, a procedure is proposed to perform visibility analysis with respect to the geometry of the part, the shape of the effector, and degrees of freedom between part/effector. A new method for computing visibility cones is formulated by identifying C-obstacles in Configuration Space (C-Space), in which a general and efficient algorithm is presented and implemented using visibility culling. Compared with previous methods, the proposed algorithm is efficient even in very complex scenes. Finally, the contributions and limits of our work are discussed. [ABSTRACT FROM AUTHOR]