2016
DOI: 10.7753/ijcatr0504.1010
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New Proposed Mobile Telecommunication Customer Call Center Roster Scheduling Under the Graph Coloring Approach

Abstract: Abstract:The call center roster scheduling is one of the significant problem in the mobile telecommunication roster management systems today; especially, creates work plan and allocates working hours for the whole day under the three shifts creates big challenge for the administrators who responsible for creating roster time tables. As a result of assigning employees into roster timetables under the manual scheduling systems create this problem more complicated. This new proposed automated roster scheduling ap… Show more

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Cited by 1 publication
(2 citation statements)
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“…Finally, the performance of the proposed algorithm was compared with a genetic algorithm [1]. This program was able to plan in all cases whereas the program of the genetic algorithm is taken in 92 of scheduling cases ONLY [1,2,7]. Results of SA algorithm project indicate that SA has a high performance for solving the nurses scheduling problems compared with the genetic algorithm.…”
Section: Comparison With Other Algorithmsmentioning
confidence: 99%
See 1 more Smart Citation
“…Finally, the performance of the proposed algorithm was compared with a genetic algorithm [1]. This program was able to plan in all cases whereas the program of the genetic algorithm is taken in 92 of scheduling cases ONLY [1,2,7]. Results of SA algorithm project indicate that SA has a high performance for solving the nurses scheduling problems compared with the genetic algorithm.…”
Section: Comparison With Other Algorithmsmentioning
confidence: 99%
“…Results of SA algorithm project indicate that SA has a high performance for solving the nurses scheduling problems compared with the genetic algorithm. Arumawadu, Tharanga, and Seneviratna (2016), conducted a mathematical method by using the graph coloring and C.net programming language to handle database management system [2].Some work that have been done [3] and [4] is not applicable for different reasons to present problem. In [5] their results aim to automate roster scheduling approach developed under two-stages.…”
Section: Comparison With Other Algorithmsmentioning
confidence: 99%