Titlebook: Proceeding of the 7th International Conference on Logistics Operations Management, GOL‘24; Smart Sustainable an Youssef Benadada,Fatima-Zah

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Application of Lean Six Sigma for Maintenance: Case Studywas assessed by an Audit Yves Lavina. This audit is based on a questionnaire that helps to analyze the maintenance function entirely. The radar diagram illustrated the low satisfaction rates; which led to the implementation of improvement actions.

東西

Flexible Job-Shop Problem with?Predictive Maintenance Planning Using Genetic Algorithmgration of predictive maintenance significantly reduces both the risk of machine breakdowns and maintenance cost, enhancing the robustness and efficiency of job shop scheduling in dynamic manufacturing environments.

deriver

sterilization

A Decision Making Approach for?Implementing Blockchain Technology in?Africaever, with the increasing world population, the exigencies of agri-food production have surged, prompting a compelling shift from conventional agricultural practices towards the realm of smart agriculture. This transition is imperative to meet the escalating demands while ensuring food security, qua

esoteric

Application of Lean Six Sigma for Maintenance: Case Study excessive costs and production losses is emphasized. The article presents the possibility of using the Lean Six Sigma tools to reduce the downtime of the maintenance processes. For this purpose, the DMAIC approach was used to analyze the automotive company’s case study. Firstly, the problem was def

LANCE

使人煩燥

Decision Aid on Blockchain Project: A Cost and Time Management Toolansparency. Like any new technology, blockchain requires readjustment and improvement to reach maturity. In the supply chain, efforts are increasingly being made to adapt and apply this technology within operations. This paper proposes a blockchain decision aid to manage costs and lead times, which

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Exploring Critical Success Factors in the Adoption of Industry 4.0 by Using DEMATEL Technique effective manufacturing strategy reduces complexity and provides organizations with a well-organized manufacturing structure. However, existing research on “Industry 4.0 adoption” appears scattered, lacking systematic understanding and finding no causal relationship between critical success factors

財(cái)政

雄偉

Exploring the?Capacitated Vehicle Routing Problem Using the?Power of?Machine Learning: A Literature Reviewalent strategy involves employing machine learning for predicting demand, leveraging historical data to accurately forecast customer needs. Furthermore, reinforcement learning techniques are employed to optimize vehicle routes, adapting them dynamically in response to changing traffic conditions and