Flow shop scheduling - especially structured models under fuzzy environment with optimal waiting time of jobs Online publication date: Mon, 21-Nov-2022
by Bharat Goyal; Sandeep Kaur
International Journal of Design Engineering (IJDE), Vol. 11, No. 1, 2022
Abstract: This paper presents a two-stage flow shop fuzzy scheduling approach under uncertain situations. In the past, flow shop scheduling in fuzzy environment has received little attention. To cope with data in a fuzzy environment and reduce total waiting time of jobs, particularly for structured problems, the research described in this paper is of utmost importance. The processing times are demonstrated by triangular membership function. An exact algorithm is proposed to achieve a schedule that minimises the total waiting time of jobs in especially structured model where the AHR of processing times is not arbitrary but must satisfy a definite condition. Most of the literature in scheduling focuses on minimising the makespan. Significance of the desired objective and effectiveness of proposed algorithm is exhibited in comparison to existing makespan approaches. The results obtained shows the best out of the three approaches wherein the objective of minimising waiting times is concerned.
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