Addressing Industrial Problems Using Various Mathematical Models

Kathryn E. Stecke - kstecke@utdallas.edu

University of Texas at Dallas, School of Management, Richardson, TX 75083-0688

Abstract

Mathematics has been called the language of science. Mathematics is used to solve many real-world problems in industry, the physical sciences, economics, social and human sciences, engineering, and technology, for example. We overview the many industrial problems that have been solved using fuzzy logic technology, multiobjective metaheuristics, neural networks, tabu search, genetic algorithms, simulated annealing, decision analysis, Petri nets, and queueing models. This overview could be useful for Ph.D. students in Industrial Engineering, Operations Research, and Operations Management who are looking to solve some real problems. Future industrial applications are also described.

Download the PDF
10.1287/ited.5.3.8

Citation Information
Stecke, J. 2005 On the Use of Integer Programming versus Evolutionary Solver in Spreadsheet Optimization. INFORMS Trans. Ed. 5(3) 8-18. Available online at http://ite.pubs.informs.org/.

DOI: 10.1287/ited.5.3.8