Paper Info
Title
A multi-objective genetic type-2 fuzzy logic based system for mobile field workforce area optimization.
Abstract
In industries which employ large numbers of mobile field engineers (resources), there is a need to optimize the task allocation process. This particularly applies to utility companies such as electricity, gas and water suppliers as well as telecommunications. The process of allocating tasks to engineers involves finding the optimum area for each engineer to operate within where the locations available to the engineers depends on the work area she/he is assigned to. This particular process is termed as work area optimization and it is a sub-domain of workforce optimization. The optimization of resource scheduling, specifically the work area in this instance, in large businesses can have a noticeable impact on business costs, revenues and customer satisfaction.
Year
DOI
Venue
2016
10.1016/j.ins.2015.09.014
Information Sciences
Keywords
Field
DocType
Fuzzy logic,Genetic algorithms,Multi-objective,Workforce optimization
Heuristic,Scheduling (computing),Fuzzy logic,Multi-objective optimization,Artificial intelligence,Cluster analysis,Engineering optimization,Optimization problem,Mathematics,Genetic algorithm,Machine learning
Journal
Volume
Issue
ISSN
329
C
0020-0255
Citations 
PageRank 
References 
12
0.74
13
Authors
4
Name
Order
Citations
PageRank
Andrew Starkey1223.61
Hani Hagras21747129.26
Siddhartha Shakya316716.48
Gilbert Owusu410222.66