Searching for Saphir A Decision Support System For Course Scheduling information? Find all needed info by using official links provided below.
https://pubsonline.informs.org/doi/10.1287/inte.24.2.105
We developed a decision support system incorporating efficient optimization procedures and interactive tools to help the user adjust the schedule to his or her specifications. Our system, which is implemented on a micro-computer, is now used each term in two major Canadian universities in …Cited by: 60
https://www.jstor.org/stable/25061865
SAPHIR: A Decision Support System for Course Scheduling Created Date: 20160809032028Z ...
https://www.sciencedirect.com/science/article/pii/S0167923611001746
Another decision support system for course scheduling, known as SlotManager, follows an approach that was originally designed by Liang et al. by using a three-component structure that consists of interfaces, databases, and an optimization model. This system features a user-friendly interface and functionalities for obtaining information on ...Cited by: 11
https://www.sciencedirect.com/science/article/pii/0167923696000243
ELSEVIER Decision Support Systems 18 (1996) 159-166 9oeim'on A heuristic job scheduling decision support system A case study Marc J. Schniederjans a.*, Donald A. Carpenter b a Department of Management, University of Nebraska-Lincoln, College of …Cited by: 6
https://www.deepdyve.com/lp/elsevier/a-heuristic-job-scheduling-decision-support-system-a-case-study-ZV04jzEEoH
A heuristic job scheduling decision support system A case study Work rules, special work load requirements and absenteeism all act to compound the scheduling activity. Many organizations have tried to solve their scheduling problems by developing software systems to handle their daily scheduling decision making.
https://www.ics.uci.edu/~dechter/courses/ics-175a/spring-2011/papers/Dinkel.pdf
This paper describes a network-based decision support system approach to the most general form of the academic course scheduling problem. The dimensions of faculty, subject, time, and room are considered by incorporating a penalty function into a network optimization approach. The approach, based on a network algorithm, is capable of solving very
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