Machine scheduling in production: A content analysis

被引：31

作者：

Abedinnia, Hamid ^{[1
]}

Glock, Christoph H. ^{[1
]}

Schneider, Michael D. ^{[2
]}

机构：

[1] Tech Univ Darmstadt, Inst Prod & Supply Chain Management, Hochschulstr 1, D-63289 Darmstadt, Germany

[2] Rhein Westfal TH Aachen, Deutsch Post Chair Optimizat Distribut Networks, Kackertstr 7b, D-52072 Aachen, Germany

来源：

APPLIED MATHEMATICAL MODELLING | 2017年 / 50卷

关键词：

Machine scheduling; Production scheduling; Content analysis; Tertiary study; Systematic literature review; LITERATURE-REVIEWS; DISPATCHING RULES; FLOWSHOP; MANAGEMENT; TRENDS;

D O I：

10.1016/j.apm.2017.05.016

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：279 / 299

页数：21

共 51 条

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[2]

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