Paper Info
Title
Scheduling multi-skilled manpower with considering teams replacement and site-dependent vehicles routing.
Abstract
In this paper, a combined manpower-vehicle routing problem (CMVRP) is presented that a central depot is considered in which a set of vehicles and a set of multi-skilled teams originate from it to move toward each customeru0027s site for servicing tasks. This problem deals with scheduling of multi-skilled manpower to service a set of tasks with due dates and at the same, routing of the vehicles which are used for moving this manpower. Teams are in different range of competency that it will affect the service time duration. Vehicles are in different moving speeds and costs and not all the vehicles are capable to move toward all the customersu0027 sites. The objective is to find an efficient schedule for the teams and vehicles movement in order to minimise the total cost of servicing, routing and lateness penalties. In this paper, a mixed integer programming model is presented and two meta-heuristics approaches of genetic algorithm (GA) and particle swarm optimisation (PSO) are developed to solve the generated problems. Furthermore, Taguchi experimental design method is applied to set the proper values of parameters. The available results show the higher performance of proposed GA compared with PSO, in quality of solutions within comparatively shorter periods of time.
Year
Venue
Field
2017
IJMOR
Particle swarm optimization,Mathematical optimization,Vehicle routing problem,Scheduling (computing),Operations research,Integer programming,Taguchi methods,Total cost,Genetic algorithm,Mathematics,Metaheuristic
DocType
Volume
Issue
Journal
10
1
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Morteza Kiani100.34
Hany Seidgar200.34
Iraj Mahdavi338832.30