A systematic literature review of cloud computing use in supply chain integration

L Novais, JM Maqueira, Á Ortiz-Bas - Computers & Industrial Engineering, 2019 - Elsevier
This paper analyzes the current state of research into Cloud Computing and Supply Chain
Integration with the objective to identify the findings to date, the areas of study developed …

Optimisation of cutting parameters for improving energy efficiency in machining process

L Hu, R Tang, W Cai, Y Feng, X Ma - Robotics and Computer-Integrated …, 2019 - Elsevier
Reducing the machining energy consumption (MEC) of machine tools for turning operations
is significant to promote sustainable manufacturing. It has been approved that selecting …

A survey of knowledge representation methods and applications in machining process planning

X Li, S Zhang, R Huang, B Huang, C Xu… - The International Journal …, 2018 - Springer
The machining process is the act of preparing the detailed operating instructions for
changing an engineering design into an end product, which involves the removal of material …

Multi-objective optimisation for energy saving and high efficiency production oriented multidirectional turning based on improved fireworks algorithm considering …

J Zhang, X Han, L Li, S Jia, Z Jiang, X Duan, K Lai… - Energy, 2023 - Elsevier
To promote energy saving, high efficiency and quality production in mechanical
manufacturing industry, a large number of studies have been conducted on parameters …

Machining process sequencing and machine assignment in generative feature-based CAPP for mill-turn parts

M Deja, MS Siemiatkowski - Journal of Manufacturing Systems, 2018 - Elsevier
Process selection and sequencing, as one of the most complex issues when evaluated from
a mathematical point of view and crucial in CAPP, still attract research attention. For the …

A field programmable gate array implemented fibre channel switch for big data communication towards smart manufacturing

F Tao, Y Tang, X Zou, Q Qi - Robotics and Computer-Integrated …, 2019 - Elsevier
With the advances in new-generation information technologies (New IT), such as internet of
things (IoT), cloud computing, and big data, etc., the big data-driven smart manufacturing era …

Precision and energy-efficient ball-end milling of Ti6Al4V turbine blades using particle swarm optimization

M Kahya, M Ozbayoglu, HO Unver - International Journal of …, 2021 - Taylor & Francis
Ti6Al4V is extensively employed in the aviation, biomedical, and energy industries due to its
high strength at elevated temperatures, low thermal conductivity, and high corrosion/creep …

Latest advancement in CPS and IoT applications

L Wang, XV Wang, L Wang, XV Wang - Cloud-Based Cyber-Physical …, 2018 - Springer
This chapter presents the latest advancement of Cyber-Physical Systems (CPS) and Internet
of Things (IoT), especially in manufacturing systems. To comprehensively understand CPS …

Development and performance evaluation of a web-based feature extraction and recognition system for sheet metal bending process planning operations

E Murena, K Mpofu, AT Ncube, O Makinde… - … Journal of Computer …, 2021 - Taylor & Francis
Sheet metal bending manufacturing companies require changeable and adaptable process
planning systems to shorten the production cycle time and reduce operations costs. This is …

Feature-based framework for inspection process planning

F Romero Subirón, P Rosado Castellano… - Materials, 2018 - mdpi.com
Feature-based approaches have been profusely used in the last decades to incorporate
domain-specific knowledge in the design and development of technical systems that …