bicriteria scheduling in hybrid flow shop with unrelated parallel machines
نویسندگان
چکیده
this study considers scheduling in hybrid flow shop environment with unrelated parallel machines for minimizing mean of job's tardiness and mean of job's completion times. this problem does not study in the literature, so far. flexible flow shop environment is applicable in various industries such as wire and spring manufacturing, electronic industries and production lines. after modeling the problem as a mixed integer programming model, three heuristics named cluster, h1 and h2 is proposed for solving it. the first heuristic (cluster) algorithm utilizes clustering methods for determining sequence of jobs. the second and third heuristics (h1 and h2) determine sequence of jobs with using spt and edd rules, respectively. the experimental results of study show that cluster algorithm outperforms h1 and h2.
منابع مشابه
Heuristic approach to solve hybrid flow shop scheduling problem with unrelated parallel machines
In hybrid flow shop scheduling problem (HFS) with unrelated parallel machines, a set of n jobs are processed on k machines. A mixed integer linear programming (MILP) model for the HFS scheduling problems with unrelated parallel machines has been proposed to minimize the maximum completion time (makespan). Since the problem is shown to be NP-complete, it is necessary to use heuristic methods to ...
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عنوان ژورنال:
نشریه دانشکده فنیجلد ۴۱، شماره ۱۰، صفحات ۰-۰
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