DSpace Collection:http://localhost:8080/xmlui/handle/123456789/29192026-06-23T06:32:46Z2026-06-23T06:32:46ZMaterial flow optimisation of production planning and scheduling problem in flexible manufacturing system by real coded genetic algorithm (RCGA)Pawar, P. J.Bhosale, K. C.http://localhost:8080/xmlui/handle/123456789/29202020-12-31T09:27:42Z2018-03-17T00:00:00ZTitle: Material flow optimisation of production planning and scheduling problem in flexible manufacturing system by real coded genetic algorithm (RCGA)
Authors: Pawar, P. J.; Bhosale, K. C.
Abstract: In a loading problem of flexible manufacturing system (FMS), part type
selection and operations allocation are two critical problems. The total completion
time of a product for the selected process plan in the system can be minimum for the
loading problem. But, in a real time scheduling system, this process plan may not be
optimum because of consideration of waiting time of product and machine. So, the
total completion time and thereby the material flow of the selected process plan in
the FMS may be high. Due to this problem an integrated approach of part type
selection and an operation allocation problem i.e. production planning problem and
scheduling problem is considered to optimise material flow in FMS. Loading and
scheduling problems are NP-hard in nature. So, to solve complex problems like this,
real coded genetic algorithm (RCGA) is used which overcomes some limitations of
genetic algorithm. It is observed that, the results of optimisation using RCGA
outperforms those obtained by earlier researchers.2018-03-17T00:00:00Z