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Home > Logistics Information Management > Volume 14 issue 3 > Utilizing RISKOptimizer to manage quality performance
Logistics Information Management
ISSN: 0957-6053
Currently published as: Journal of Enterprise Information Management
Online from: 1988
Subject Area: Information and Knowledge Management
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Utilizing RISKOptimizer to manage quality performance
| Title: | Utilizing RISKOptimizer to manage quality performance |
|---|---|
| Author(s): | Roy L. Nersesian, (Roy L. Nersesian is an Associate Professor in the Department of Management and Marketing, School of Business Administration, Monmouth University, New Jersey, USA.), Marvin D. Troutt, (Marvin D. Troutt is Director, Center for Information Sciences and G. Jay Weinroth is Chairperson, Administrative Sciences, both at the College of Business Administration, Kent State University, Kent, Ohio, USA.), G. Jay Weinroth, (G. Jay Weinroth is Chairperson, Administrative Sciences, both at the College of Business Administration, Kent State University, Kent, Ohio, USA.) |
| Citation: | Roy L. Nersesian, Marvin D. Troutt, G. Jay Weinroth, (2001) "Utilizing RISKOptimizer to manage quality performance", Logistics Information Management, Vol. 14 Iss: 3, pp.196 - 200 |
| Keywords: | Information resources management, Logistics, Quality management |
| Article type: | Technical paper |
| DOI: | 10.1108/09576050110390220 (Permanent URL) |
| Publisher: | MCB UP Ltd |
| Abstract: | New software products are now available that offer solutions to operational problems that could not be handled by traditional linear programming. The problem of quality performance described could previously only have been handled by writing a special purpose simulation program. Now it can be solved in a spreadsheet environment using Evolver and RISKOptimizer software. Evolver can identify a global rather than a local optimal solution when non-linear relationships are present. RISKOptimizer takes the process one step further. It combines @RISK simulation capablity with Evolver’s optimization algorithms to handle stochastic variables (uncertain demand and prices). |
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