Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/43200
Title: A Two-Machine Flowshop Scheduling Problem with a Job Precedence Constraint to Minimize the Total Completion Time
Authors: Xu, Jianyou
Lin, Win-Chin
Yin, Yunqiang
Cheng, Yu
Wu, Chin-Chia
Keywords: Scheduling;Simulated Annealing;Largest Order Value Method;Job Precedence
Issue Date: Dec-2017
Publisher: NISCAIR-CSIR, India
Abstract: In this study we address a two-machine flowshop scheduling problem with a job constraint. The objective function is to find a sequence to minimize the total completion time, which means that a schedule’s cost, is directly related to the average time it takes to process a single job. Due to the higher complexity of proposed problem, we use a branch-and-bound method incorporating with several dominance rules and lower bounds for finding an optimal solution. We then propose a simulated annealing and a largest order value method for finding a near-optimal solution. In addition, we test the performances of all the proposed algorithms for the small and big numbers of jobs.
Page(s): 761-766
URI: http://nopr.niscair.res.in/handle/123456789/43200
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.76(12) [December 2017]

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