2018
DOI: 10.1080/00207543.2018.1530478
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Agile manufacturing: an evolutionary review of practices

Abstract: Academics and practitioners have long acknowledged the importance of agile manufacturing and related supply chains in achieving firm sustainable competitiveness. However, limited, if any, research has focused on the evolution of practices within agile manufacturing supply chains and how these are related to competitive performance objectives. To address this gap, we reviewed the literature on an agile manufacturing drawing on the evolution of manufacturing agility, attributes of agile manufacturing, the driver… Show more

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Cited by 126 publications
(93 citation statements)
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References 235 publications
(325 reference statements)
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“…Data mining and analytics can be used to achieve competitive advantage through sustainable agility ( Ciccullo et al, 2018 ; Chen et al, 2017 , Kitchens et al, 2018 ). Implementing sustainability is difficult without knowledge of SC stakeholders’ perspectives ( Gunasekaran et al, 2019 ). Upstream and downstream collaboration is needed to ensure alignment of the goals of SC players (Gligor, 2014; Wu et al, 2017 ).…”
Section: Discussionmentioning
confidence: 99%
“…Data mining and analytics can be used to achieve competitive advantage through sustainable agility ( Ciccullo et al, 2018 ; Chen et al, 2017 , Kitchens et al, 2018 ). Implementing sustainability is difficult without knowledge of SC stakeholders’ perspectives ( Gunasekaran et al, 2019 ). Upstream and downstream collaboration is needed to ensure alignment of the goals of SC players (Gligor, 2014; Wu et al, 2017 ).…”
Section: Discussionmentioning
confidence: 99%
“…The authors conducted a survey with Iranian manufacturing companies, developed hypotheses and used structural equation modelling to suggest that lean manufacturing is a precursor to implementation of agile manufacturing, where the former improves financial performance. Gunasekaran et al (2019)…”
Section: Surveymentioning
confidence: 99%
“…The set of service demanders is denoted by RD and the number of service demanders is denoted by M . The set of tasks is Task = {task 1 , task 2…”
Section: B Scheduling Modelmentioning
confidence: 99%
“…The budgets are also randomly generated in [1.8, 2.5], [3.3, 4.0] and [1.7, 3.0], the unit is million dollars. rank(type1) = [st 1 1 , st 1 2 , st 1 3 , st 1 4 , st 1 5 ] rank(type2) = st 2 1 , st 2 2 , st 2 3 , st 2 4 , st 2 5 , st 2 6 , st 2 7 ] rank(type3) = [st 3 1 , st 3 2 , st 3 3 , st 3 4 , st 3 5 ]…”
Section: Experiments a Simulationmentioning
confidence: 99%
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