Machine learning models for online detection of wear and friction behaviour of biomedical graded stainless steel 316L under lubricating conditions

ME Korkmaz, MK Gupta, G Singh, M Kuntoğlu… - … International Journal of …, 2023 - Springer
Particularly in sectors where mechanisation is increasing, there has been persistent effort to
maximise the use of existing assets. Since maintenance management is accountable for the …

Multi-product disassembly line balancing optimization method for high disassembly profit and low energy consumption with noise pollution constraints

P Liang, Y Fu, K Gao - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Remanufacturing attains much attention from both industrial and academic sectors due to its
beneficial roles in energy conservation and environment protection, where disassembly is a …

A multi-criteria decision-making model for analyzing a project-driven supply chain under interval type-2 fuzzy sets

Y Dorfeshan, F Jolai, SM Mousavi - Applied Soft Computing, 2023 - Elsevier
Reviewing and integrating decisions in the supply chain and project management is crucial.
This problem is known as a project-driven supply chain problem. By the growing …

A multi-criteria group-based decision-making method considering linguistic neutrosophic clouds

L Zhang, C Zhang, G Tian, Z Chen… - Expert Systems with …, 2023 - Elsevier
We can formulate complex automation systems with advanced decision-making methods.
This work proposes a new multi-criteria group-based decision-making (MCGDM) method …

Determining the factors affecting transportation demand management and selecting the best strategy: A case study

A Aytekin, S Korucuk, ÖF Görçün - Transport policy, 2024 - Elsevier
Demand management in transportation services, as well as demand sustainability, demand
planning, and demand implementation are critical components in service quality and …

An improved genetic algorithm with an overlapping strategy for solving a combination of order batching and flexible job shop scheduling problem

Z Liu, J Zha, J Yan, Y Zhang, T Zhao, Q Cheng… - … Applications of Artificial …, 2024 - Elsevier
The problem of flexible job shop batch scheduling represents an extension of the flexible
manufacturing problem. Different batching strategy significantly affects the effect of …

A social network analysis-based model for failure mode and effect analysis under linguistic preference relation environment

J Huang, W Guo, H Shi, HC Liu - Engineering Applications of Artificial …, 2023 - Elsevier
Failure mode and effect analysis (FMEA) is a proactive risk analysis technique widely used
to improve the reliability and safety of complex systems in various industries. Generally …

A multi-population co-evolutionary algorithm for green integrated process planning and scheduling considering logistics system

Q Liu, C Wang, X Li, L Gao - Engineering Applications of Artificial …, 2023 - Elsevier
Nowadays, green manufacturing is an increasingly significant theme in the worldwide
industry fields. System integration can fully exploit the potential of subsystems to achieve …

A risk evaluation model of electric power cloud platform from the information perspective based on fuzzy type-2 VIKOR

X Meng, Y Lu, J Liu - Computers & Industrial Engineering, 2023 - Elsevier
With the swift progression of digital technology, the construction of electric power cloud
platform is of great significance for the transformation of the electricity industry. Based on the …

A double-adaptive general variable neighborhood search for an unmanned electric vehicle routing and scheduling problem in green manufacturing systems

W Liu, M Dridi, J Ren, AH El Hassani, S Li - Engineering Applications of …, 2023 - Elsevier
In recent years, more and more manufacturing factories have employed unmanned electric
vehicles (UEVs) to perform the materials delivery, and efficient routing and scheduling …