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The data-correcting algorithm for supermodular functions, with applications to quadratic cost partition and simple plant location problems

Author

Listed:
  • Goldengorin, Boris
  • Sierksma, Gerard
  • Tijssen, Gert A.

    (Groningen University)

Abstract

New product development is one of the most powerful but difficult activities in business. It is also a very important factor affecting final product quality. There are many techniques available for new product development. Experimental design is now regarded as one of the most significant techniques. In this article, we will discuss how to use the technique of experimental design in developing a new product - an extrusion press. In order to provide a better understanding of this specific process, a brief description of the extrusion press is presented. To ensure the successful development of the extrusion press, customer requirements and expectations were obtained by detailed market research. The critical and non-critical factors affecting the performance of the extrusion press were identified in preliminary experiments. Through conducting single factorial experiments, the critical factorial levels were determined. The relationships between the performance indexes of the extrusion press and the four critical factors were determined on the basis of multi-factorial experiments. The mathematical models for the performance of the extrusion press were established according to a central composite rotatable design. The best combination of the four critical factors and the optimum performance indexes were determined by optimum design. The results were verified by conducting a confirmatory experiment. Finally, a number of conclusions became evident.

Suggested Citation

  • Goldengorin, Boris & Sierksma, Gerard & Tijssen, Gert A., 1998. "The data-correcting algorithm for supermodular functions, with applications to quadratic cost partition and simple plant location problems," Research Report 98A08, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  • Handle: RePEc:gro:rugsom:98a08
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    File URL: http://irs.ub.rug.nl/ppn/167273981
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    References listed on IDEAS

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    1. Lee, Heesang & Nemhauser, George L. & Wang, Yinhua, 1996. "Maximizing a submodular function by integer programming: Polyhedral results for the quadratic case," European Journal of Operational Research, Elsevier, vol. 94(1), pages 154-166, October.
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    4. Fisher, M.L. & Nemhauser, G.L. & Wolsey, L.A., 1978. "An analysis of approximations for maximizing submodular set functions," LIDAM Reprints CORE 341, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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