Semantic web and knowledge graphs for industry 4.0
In recent years, due to technological advancements, the concept of Industry 4.0 (I4. 0) is
gaining popularity, while presenting several technical challenges being tackled by both the …
gaining popularity, while presenting several technical challenges being tackled by both the …
Injection molding manufacturing process: Review of case-based reasoning applications
MR Khosravani, S Nasiri - Journal of Intelligent Manufacturing, 2020 - Springer
Although manufacturing technology has been developing rapidly, injection molding is still
widely used for fabricating plastic parts with complex geometries and precise dimensions …
widely used for fabricating plastic parts with complex geometries and precise dimensions …
A proactive material handling method for CPS enabled shop-floor
Cyber physical system (CPS) enables companies to keep high traceability and controllability
in manufacturing for better quality and improved productivity. However, several challenges …
in manufacturing for better quality and improved productivity. However, several challenges …
Tools and practices for tactical delivery date setting in engineer-to-order environments: a systematic literature review
The research interest in topics related to production and supply chain planning and control
in engineer-to-order (ETO) environments has grown significantly over the last three …
in engineer-to-order (ETO) environments has grown significantly over the last three …
A Lean PSS design and evaluation framework supported by KPI monitoring and context sensitivity tools
D Mourtzis, S Fotia, E Vlachou, A Koutoupes - The International Journal of …, 2018 - Springer
Over the last decade, Product-Service System (PSS) has been established as a prominent
business model which promises sustainability. A great amount of literature work has been …
business model which promises sustainability. A great amount of literature work has been …
[PDF][PDF] Lead Time Forecasting with Machine Learning Techniques for a Pharmaceutical Supply Chain.
Purchasing lead time is the time elapsed between the moment in which an order for a good
is sent to a supplier and the moment in which the order is delivered to the company that …
is sent to a supplier and the moment in which the order is delivered to the company that …
Energy consumption estimation for machining processes based on real-time shop floor monitoring via wireless sensor networks
The increasing concern about the depletion of the energy repositories places the energy
efficiency issues in high priority. In the manufacturing sector, the improvement of energy …
efficiency issues in high priority. In the manufacturing sector, the improvement of energy …
Dynamic lead-time forecasting using machine learning in a make-to-order supply chain
This paper investigates the dynamic forecasting of lead-time, which can be performed by a
logistics company for optimizing temporal shipment consolidation. Shipment consolidation is …
logistics company for optimizing temporal shipment consolidation. Shipment consolidation is …
Exploring product complexity and prototype lead-times to predict new product development cycle-times
RDS Bolaños, SCM Barbalho - International Journal of Production …, 2021 - Elsevier
In a world where new product development (NPD) can differentiate winners from losers,
reducing NPD cycle-times is a competitive agenda. For complex NPD projects, traditional …
reducing NPD cycle-times is a competitive agenda. For complex NPD projects, traditional …
Prototyping machine-learning-supported lead time prediction using AutoML
J Bender, J Ovtcharova - Procedia Computer Science, 2021 - Elsevier
Abstract Many Small and Medium Enterprises in the domain of Make-To-Order-and Small-
Series-Production struggle with accurately predicting lead times of highly customisable …
Series-Production struggle with accurately predicting lead times of highly customisable …