udpSkeduler: A Web architecture based decision support system for course and classroom scheduling

Authors:
Jaime Miranda;Pablo A. Rey;José M. Robles
Affiliations:
Department of Management Control and Information Systems, School of Economics and Business, Universidad de Chile, Diagonal Paraguay 257, Santiago, Chile;School of Industrial Engineering, Faculty of Engineering, Universidad Diego Portales, Av. Ejército 441, Santiago, Chile;Faculty of Engineering, Universidad del Desarrollo, Av. Plaza 680, Santiago, Chile
Venue:
Decision Support Systems
Year:
2012

Citing 11
Cited 0

Information technology implementation research: a technological diffusion approach

Management Science
Key antecedents of executive information system success: a path analytic approach

Decision Support Systems
SlotManager: a microcomputer-based decision support system for university timetabling

Decision Support Systems
An empirical investigation of ODSS impact on individuals and organizations

Decision Support Systems
A Survey of Automated Timetabling

Artificial Intelligence Review
SchedulExpert: Scheduling Courses in the Cornell University School of Hotel Administration

Interfaces
Branch-And-Price: Column Generation for Solving Huge Integer Programs

Operations Research
eClasSkeduler: A Course Scheduling System for the Executive Education Unit at the Universidad de Chile

Interfaces
Organizational characteristics and MIS success in the context of small business

MIS Quarterly
A field study of organizational factors influencing DSS success

MIS Quarterly
A column generation scheme for faculty timetabling

PATAT'04 Proceedings of the 5th international conference on Practice and Theory of Automated Timetabling

Quantified Score

Hi-index	0.00

Visualization

Abstract

A key process for post-secondary educational institutions is the definition of course timetables and classroom assignments. Manual scheduling methods require enormous amounts of time and resources to deliver results of questionable quality, and multiple course and classroom conflicts usually occur. This article presents a scheduling system implemented in a Web environment. This system generates optimal schedules via an integer-programming model. Among its functionalities, this system enables direct interaction with instructors in order to gather data on their time availability for teaching courses. The results demonstrate that significant improvements over the typical fully manual process were obtained.