A survey of case studies in production scheduling: Analysis and perspectives

被引：69

作者：

Fuchigami, Helio Yochihiro ^{[1
,2
]}

Rangel, Socorro ^{[3
]}

机构：

[1] Fed Univ Goias UFG, Fac Sci & Technol FCT, Campus Aparecida Goiania, Goiania, Go, Brazil

[2] Sao Paulo State Univ Unesp, Inst Biosci Humanities & Exact Sci Ibilce, Campus Sao Jose do Rio Preto, Sao Jose Do Rio Preto, Brazil

[3] Sao Paulo State Univ Unesp, Inst Biosci Humanities & Exact Sci Ibilce, Campus Sao Jose, Sao Jose Do Rio Preto, Brazil

来源：

JOURNAL OF COMPUTATIONAL SCIENCE | 2018年 / 25卷

基金：

巴西圣保罗研究基金会;

关键词：

Operational research; Production scheduling; Production sequencing; Case studies; HYBRID FLOW-SHOP; FLEXIBLE JOB-SHOP; SIMULATION-OPTIMIZATION APPROACH; TOTAL-ENERGY CONSUMPTION; TOTAL WEIGHTED TARDINESS; DEPENDENT SETUP TIMES; GENETIC ALGORITHM; PARALLEL MACHINES; SEARCH ALGORITHM; MILP MODEL;

D O I：

10.1016/j.jocs.2017.06.004

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The problems of production scheduling and sequencing refer to decision making regarding the designation of jobs to available resources and their subsequent order to optimize pre-defined performance measures. From the early days of research in this area until this last decade, the publication of case studies has been scarce, with their frequency only increasing very recently. This survey aims to highlight practical research and case studies published in the literature in the scheduling area, identifying the main characteristics of the problems treated, trends in this research and also gaps showing potential areas for future study. (C) 2017 Elsevier B.V. All rights reserved.

引用

页码：425 / 436

页数：12

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