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Analysis of lead times of metallic components in the aerospace industry through a supported vector machine model
5 references·2 citing·30 second hop
Analysis of lead times of metallic components in the aerospace industry through a supported vector machine model (2010)Analysis of lead times of metallic compon…Software for Data Analysis: Programming with R (2008)Software for Data Analysis: P…On the optimal selection of process alternatives in a Six Sigma implementation (2007)On the optimal selection of p…Data-driven simulation of the supply-chain—Insights from the aerospace sector (2007)Data-driven simulation of the…Implementing Lean in aerospace—challenging the assumptions and understanding the challenges (2003)Implementing Lean in aerospac…Transformation to lean manufacturing by an automotive component supplier (1996)Transformation to lean manufa…Prototyping Machine-Learning-Supported Lead Time Prediction Using AutoML (2021)Prototyping Machine-Learning-…Machine learning applications in supply chains: An emphasis on neural network applications (2017)Machine learning applications…Supply chain design and analysis: (1998)Delivery performance measurement in an integrated supply chain management: Case study in batteries manufacturing firm (2011)Data-driven modeling and simulation framework for material handling systems in coal mines (2013)Wearable sensor-based activity recognition for data-driven simulation of construction workers' activities (2015)Effective supply chain management (2020)Logistics and Supply Chain Management (2021)Key ingredients for the effective implementation of Six Sigma program (2002)Benefits, obstacles, and future of six sigma approach (2004)Six sigma project selection using data envelopment analysis (2007)Introduction to Quality Engineering (2008)Reducing mold changing time by implementing Lean Six Sigma (2009)An integrated analytic approach for Six Sigma project selection (2010)The Machine That Changed the World (1991)The machine that changed the world (1992)Research Methods for Business Students (2003)A survey on lean manufacturing implementation in Malaysian automotive industry (2010)A literature review of lean manufacturing (2013)Internal lean practices and performance: The role of technological turbulence (2014)DEFINING SUPPLY CHAIN MANAGEMENT (2001)Application of machine learning techniques for supply chain demand forecasting (2007)Integration of artificial neural network and MADA methods for green supplier selection (2010)Application of neural networks in predicting the level of integration in supply chains (2020)Knowledge-based Estimation of Manufacturing Lead Time for Complex Engineered-to-order Products (2014)Manufacturing Lead Time Estimation with the Combination of Simulation and Statistical Learning Methods (2016)Exploratory Spatial Data Analysis (2009)Functions for traditional and multilevel approaches to signal detection theory (2009)Validation of population-based disease simulation models: a review of concepts and methods (2010)A review of designing machine tool for leanness (2012)Development of value stream map for an Indian automotive components manufacturing organization (2015)Evaluating lean execution performance in Indian MSMEs using SEM and TOPSIS models (2016)
this work references cited by second hop

References

  • 2008Software for Data Analysis: Programming with R248 cited
  • 2003Implementing Lean in aerospace—challenging the assumptions and understanding the challenges229 cited
  • 2007On the optimal selection of process alternatives in a Six Sigma implementation139 cited
  • 2007Data-driven simulation of the supply-chain—Insights from the aerospace sector71 cited
  • 1996Transformation to lean manufacturing by an automotive component supplier31 cited

Cited by

  • 2017Machine learning applications in supply chains: An emphasis on neural network applications39 cited
  • 2021Prototyping Machine-Learning-Supported Lead Time Prediction Using AutoML34 cited

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