Influence factors and operational strategies for energy efficiency improvement of CNC machining

L Li, C Li, Y Tang, Q Yi - Journal of Cleaner Production, 2017 - Elsevier
CNC machining is one of the major activities in the manufacturing industry which is
responsible for a significant portion of the total consumed energy. However, the energy …

A new hybrid algorithm model for prediction of internal corrosion rate of multiphase pipeline

S Peng, Z Zhang, E Liu, W Liu, W Qiao - Journal of Natural Gas Science …, 2021 - Elsevier
Pipeline plays an important role in the oil and gas transportation industry. In recent years,
more and more pipeline damages and breakdowns are caused by corrosion, which hurts the …

Aggregate production planning under uncertainty: a comprehensive literature survey and future research directions

A Jamalnia, JB Yang, A Feili, DL Xu… - The International Journal of …, 2019 - Springer
This is the first literature survey of its kind on aggregate production planning (APP) under
uncertainty. Different types of uncertainty, such as stochasticity, fuzziness and possibilistic …

ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment

M Issa, AE Hassanien, D Oliva, A Helmi, I Ziedan… - Expert Systems with …, 2018 - Elsevier
The sine cosine algorithm (SCA), a recently proposed population-based optimization
algorithm, is based on the use of sine and cosine trigonometric functions as operators to …

Integration of process planning and scheduling using chaotic particle swarm optimization algorithm

M Petrović, N Vuković, M Mitić, Z Miljković - Expert systems with …, 2016 - Elsevier
Process planning and scheduling are two of the most important manufacturing functions
traditionally performed separately and sequentially. These functions being complementary …

Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization

Q Qin, S Cheng, X Chu, X Lei, Y Shi - Applied Soft Computing, 2017 - Elsevier
Economic load dispatch (ELD) problems have been an important issue in optimal operation
and planning of power system. Characterized by non-convex/non-smooth properties and …

A novel methodology for optimal single mobile robot scheduling using whale optimization algorithm

M Petrović, Z Miljković, A Jokić - Applied Soft Computing, 2019 - Elsevier
One of the fundamental requirements for creating an intelligent manufacturing environment
is to develop a reliable, efficient and optimally scheduled material transport system. Besides …

An integrated approach of process planning and cutting parameter optimization for energy-aware CNC machining

L Li, C Li, Y Tang, L Li - Journal of Cleaner Production, 2017 - Elsevier
Process plans and cutting parameters are important components in the computer aided
process planning. Reasonable choice of process plans and cutting parameters can …

Multi-objective scheduling of a single mobile robot based on the grey wolf optimization algorithm

M Petrović, A Jokić, Z Miljković, Z Kulesza - Applied Soft Computing, 2022 - Elsevier
During the last decades, intelligent mobile robots have been recognized as one of the most
promising and emerging solutions used for fulfilling material transport demands in intelligent …

A big data analytics based machining optimisation approach

W Ji, S Yin, L Wang - Journal of Intelligent Manufacturing, 2019 - Springer
Currently, machine tool selection, cutting tool selection and machining conditions
determination are not usually performed at the same time but progressively, which may lead …