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Group Scheduling with Learning Effect and Random Processing Time
Author(s) -
Dingyu Wang,
Chunming Ye
Publication year - 2021
Publication title -
journal of mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.252
H-Index - 13
eISSN - 2314-4785
pISSN - 2314-4629
DOI - 10.1155/2021/6685149
Subject(s) - scheduling (production processes) , mathematics , group (periodic table) , mathematical optimization , schedule , heuristic , learning effect , random variable , computer science , statistics , chemistry , organic chemistry , economics , microeconomics , operating system
In this paper, we establish a stochastic grouping scheduling model. In the model, there is no installation time between the jobs in the same group, but each group has an installation time before processing. There are learning effects between groups and within groups, and the completion time of jobs is a random variable. We take the long expected schedule and the expected total completion time as the objective function, and the noninterruptible static priority strategy is obtained. At the same time, heuristic algorithms and examples are given.

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