Maximization of Organizational Uptime Using an Interactive Genetic-Fuzzy Scheduling and Support System

14 Pages Posted: 15 Oct 2008

See all articles by Roger Stein

Roger Stein

Sloan School of Management, MIT

Vasant Dhar

New York University (NYU) - Leonard N. Stern School of Business; New York University (NYU) - Department of Information, Operations, and Management Sciences

Date Written: 1993

Abstract

This paper addresses the problem of scheduling multipletime and priority sensitive tasks efficiently in an environmentwhere the number of resources is limited and the resourceshave varying capabilities and restricted capacities.We use a help desk environment as our working model,however, the methodologv could also be adapted to a varietyof job shop scheduling problems in general. We introducea metric called priority time usage as a measure oftask urgency and of schedule efficiency. We also introducea method of considering user satisfaction in scheduling byutilizing fuzzy monotonic reasoning. We propose a methodologyfor implementing a heuristic genetic algorithm(GA) to accomplish the scheduling task. We discuss howsuch a system can use ongoing data about historicalschedule performance to adapt and create progressivelymore accurate schedules in the future. We considermodifications to the scheduling approach which couldallow for task inter-dependencies. We present an initiativeuser interface which we developed to aid help deskadministrators in using the system. In addition to providinga front end to the SOGA system, the interface allows theuser of the system to perform "what if� analysis with actualschedules. Lastly, we present preliminary assessments ofthe utility of both the optimization engine and the userinterface.

Keywords: scheduling, genetic algorithm, fuzzy logic, constraint satisfaction problems, help desk, optimization, heuristics, graphical user interface, hybrid expert system, monotonic reasoning

Suggested Citation

Stein, Roger and Dhar, Vasant, Maximization of Organizational Uptime Using an Interactive Genetic-Fuzzy Scheduling and Support System (1993). Information Systems Working Papers Series, Vol. , pp. -, 1993. Available at SSRN: https://ssrn.com/abstract=1284884

Roger Stein (Contact Author)

Sloan School of Management, MIT ( email )

100 Main Street
E62-416
Cambridge, MA 02142
United States

HOME PAGE: http://www.rogermstein.com

Vasant Dhar

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 West 4th Street
Suite 9-160
New York, NY NY 10012
United States

HOME PAGE: http://www.stern.nyu.edu/~vdhar

New York University (NYU) - Department of Information, Operations, and Management Sciences

44 West Fourth Street
New York, NY 10012
United States

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