Paper Info
Title
Near-Optimal Course Scheduling at the Technion
Abstract
AbstractThe focus of this article is the automation of course, classroom, and exam scheduling for the faculty of Industrial Engineering IE at the Technion in Haifa, Israel. The system, called the Technion Industrial Engineering Scheduler TieSched, has been operational since 2012. It is based on a distributed collection of constraints and multiple engines running in parallel, including SAT, pseudo-Boolean, CSP, and weighted-Max-SAT solvers. A sophisticated decision support subsystem accommodates manual edits to the schedule. This article describes the manual process used previously and the TieSched system architecture, and it provides details about the model formulation and solving engines. It also presents the new process that TieSched enables and the path to stakeholder acceptance. The benefits of TieSched include improved efficiency of the scheduling process i.e., a reduction from 9-10 to 3-4 weeks, better schedules, and enhanced levels of service to teachers, assistants, and students.
Year
DOI
Venue
2017
10.1287/inte.2017.0920
Periodicals
Keywords
Field
DocType
education systems: planning, integer programming: applications, decision analysis: applications
Level of service,Software engineering,Stakeholder,Scheduling (computing),Decision support system,Distributed collection,Automation,Schedule,Systems architecture,Engineering,Management science
Journal
Volume
Issue
ISSN
47
6
0092-2102
Citations 
PageRank 
References 
0
0.34
11
Authors
1
Name
Order
Citations
PageRank
Ofer Strichman1107163.61