Visitor schedule management system- an intelligent decision support system
Srinivas Nidhra, Likith Poovanna, Vinay Sudha Ethiraj

TL;DR
This paper presents an intelligent decision support system for visitor scheduling, addressing the traveling salesman problem to optimize time and client satisfaction through mathematical programming.
Contribution
It introduces a novel visitor schedule management system that leverages optimization techniques to improve scheduling efficiency and client prioritization.
Findings
Reduced scheduling time significantly
Improved client satisfaction levels
Efficient resource utilization
Abstract
Travelling salesman problem is a problem which is of high interest for researchers, industry professionals, and academicians. Visitor or salesman used to face lot of problems with respect to scheduling based on meeting top ranked clients. Even excel sheet made the work tedious. So these flaws propelled us to design an intelligent decision support system. This paper reports the problem definition we tried to address and possible solution to this problem. We even explained the project design and implementation of our visitor schedule management system.. Our system made a major contribution in terms of valuable resources such as time and satisfying high ranked clients efficiently. We used optimization via mathematical programming to solve these issues.
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