Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5470687 | Applied Mathematical Modelling | 2017 | 34 Pages |
Abstract
This paper presents the results of a content analysis on a comprehensive and systematically generated sample of 132 literature surveys on machine scheduling problems in production (MSPP). The paper identifies the main attributes of MSPP by analyzing these surveys and proposes a classification scheme for MSPP consisting of seven main groups with several subgroups. The reliability of the results of the content analysis is examined in a sensitivity analysis. A close analysis of the results unveils several research gaps in the literature and enables us to propose promising avenues for future research.
Keywords
Related Topics
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Authors
Hamid Abedinnia, Christoph H. Glock, Michael D. Schneider,