Article ID Journal Published Year Pages File Type
5470687 Applied Mathematical Modelling 2017 34 Pages PDF
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.
Related Topics
Physical Sciences and Engineering Engineering Computational Mechanics
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