Fuzzy Gilmore and Gomory algorithm: Application in robotic flow shops with the effects of job-dependent transportation and set-ups

This paper addresses the scheduling of robotic cells with job-dependent transportation and set-up effects fuzzy methodology. Since times are a large portion production time in flexible manufacturing cell, ignoring these parameters may cause significant errors determining optimal makespan. Furthermore, exact values is challenging task. To overcome this problem, we represent using L-R numbers. Using capability numbers to approximate values, can without losing valuable information. For generating part sequencing cells, Gilmore Gomory algorithm modified, instead, developed. We compare results proposed method those crisp ones. The indicate superiority terms robustness, flexibility, reduction