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Machine scheduling in production: A content analysis
Affiliation:1. Institute of Production and Supply Chain Management, Technische Universität Darmstadt, Hochschulstr. 1, 63289 Darmstadt, Germany;2. Deutsche Post Chair of Optimization of Distribution Networks, RWTH Aachen University, Kackertstr. 7b, 52072 Aachen, Germany
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.
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