Increasing service levels in conference and educational scheduling: a heuristic approach

Article Abstract:

The problem of conference or class scheduling that optimizes the servicing of participant requests for sessions is considered. The two main requirements of the problem call for the acceptable assignment of session offerings to time periods and rooms, and the assignment of participants to sections of multiple-offering session. Both parts are solved through a heuristic procedure that addresses not only the requests of participants for sessions but also the relative significance of the different requests. Findings reveal that this technique can significantly improve participant satisfaction and equity, as compared to conventional conference-scheduling and class-scheduling approaches. Implications are discussed.

Meetings, Scheduling (Management), Customer service

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Constructing school timetables using simulated annealing: sequential and parallel algorithms

Article Abstract:

A solution was obtained for the school timetabling problem, which involved scheduling several tuples to a fixed number of time slots. Each tuple consisted of students, a teacher, a subject, and a room. Several tuples could be scheduled in the same time slot if neither the class, the teacher, nor the room appeared more than once in the time slot. The optimization technique was a Monte Carlo technique called simulated annealing (SA). SA was applied to randomly constructed data, as well as data from a high school in Australia. The results indicated that the complexity of the problem increased as the number of elements for a given number of classes, rooms, and teachers increased.

Usage, Simulated annealing (Mathematics), Time perspective

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Resource-use efficiency in public schools: a study of Connecticut data

Article Abstract:

The relative efficiency of Connecticut's public school districts was examined using Data Envelopmental Analysis and regression modeling. The factors influencing achievements, such as school inputs and socio economic factors, were analyzed. Results showed that the productivity of school inputs is affected significantly by the socio-economic status of each community being served.

Influence, Schools, Data envelopment analysis, Connecticut, Public schools, Social status

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