PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 1, 2019International Journal of Operational Research5 citations

A genetic algorithm for a flow shop scheduling problem with breakdown interval, transportation time and weights of jobs

View Full Paper
HKHarendra KumarPKPankaj KumarMSManisha Sharma

Key Points

Key points are not available for this paper at this time.

Abstract

A flow shop problem exists when all the jobs have the same processing order through the machines. In flow shop problem, the technological demand that the jobs pass between the machines in the same order. The objective of this paper is to find an optimal ordering of 'n' jobs for three machines involving processing times, transportation times, break down interval and weights of the jobs by using genetic algorithm (GA) approach. The proposed algorithm is compared with already published problems in literature. The numerical results show that the present algorithm is a good one within the best well known heuristic algorithms in the field.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kumar et al. (2019) studied this question.

synapsesocial.com/papers/69f1bf13ba0eb63c1ddd3322https://doi.org/10.1504/ijor.2019.101456
Ask AI
Helpful
Bookmark
Share
View Full Paper