Citation map · Study

Supply Chain Management Efficiency Improvement in the Automobile Industry Using Lean Six Sigma and Artificial Neural Network

16 references·0 citing·57 second hop

this work references cited by second hop

References

2020A framework to overcome sustainable supply chain challenges through solution measures of industry 4.0 and circular economy: An automotive case638 cited
2020Machine learning demand forecasting and supply chain performance305 cited
2020Organizational enablers for circular economy in the context of sustainable supply chain management272 cited
2017Sustainable supply chain management practices in Indian automotive industry: A multi-stakeholder view250 cited
2021RNN / LSTM with modified Adam optimizer in deep learning approach for automobile spare parts demand forecasting180 cited
2016A closed-loop supply chain network design for automotive industry in Turkey141 cited
2019Supply chain management in industrial marketing–Relationships matter128 cited
2022Resilience assessment of the cobalt supply chain in China under the impact of electric vehicles and geopolitical supply risks124 cited
2019Impact of risk management culture on supply chain resilience: An empirical study from Indian manufacturing industry88 cited
2020A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain88 cited
2020Achieving a just–in–time supply chain: The role of supply chain intelligence87 cited
2021A hybrid demand forecasting model for greater forecasting accuracy: the case of the pharmaceutical industry63 cited
2022Designing a new multi-echelon multi-period closed-loop supply chain network by forecasting demand using time series model: a genetic algorithm

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Cited by

No citing works inside the corpus for this window.