Journal
APPLIED MATHEMATICAL MODELLING
Volume 50, Issue -, Pages 279-299Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2017.05.016
Keywords
Machine scheduling; Production scheduling; Content analysis; Tertiary study; Systematic literature review
Funding
- Carlo and Karin Giersch Stiftung
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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. (C) 2017 Elsevier Inc. All rights reserved.
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