Abstract

Focusing upon job sequencing in fuzzy production environment, the fuzzy scheduling model and its algorithm are proposed for unrelated parallel machines in this study. Considering uncertain jobs' processing times and due dates, in light of the possibility and necessity measures in fuzzy theory, the tardiness credibility index of job is proposed to estimate the possibility of job's tardiness. The mixed integer programming model of unrelated parallel machines is constructed for average credibility of job's tardiness. A novel hybrid fuzzy genetic algorithm is developed to tackle the model. Finally, a case study is given to demonstrate the effectiveness of the proposed algorithm.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.