A survey of job shop scheduling problem: The types and models
H Xiong, S Shi, D Ren, J Hu - Computers & Operations Research, 2022 - Elsevier
Job shop scheduling problem (JSSP) is a thriving area of scheduling research, which has
been concerned and studied widely by scholars in engineering and academic fields. This …
been concerned and studied widely by scholars in engineering and academic fields. This …
Intelligent manufacturing execution systems: A systematic review
The fast-growing demand for effective Industry 4.0-ready systems from academics and
practitioners has required an assessment of the state-of-the-art research and …
practitioners has required an assessment of the state-of-the-art research and …
A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling
The flexible job shop scheduling problem (FJSP) is significant for realistic manufacturing.
However, the job processing time usually is uncertain and changeable during …
However, the job processing time usually is uncertain and changeable during …
Review on flexible job shop scheduling
J Xie, L Gao, K Peng, X Li, H Li - IET collaborative intelligent …, 2019 - Wiley Online Library
Flexible job shop scheduling problem (FJSP) is an NP‐hard combinatorial optimisation
problem, which has significant applications in the real world. Due to its complexity and …
problem, which has significant applications in the real world. Due to its complexity and …
Artificial intelligence in product lifecycle management
Recently, artificial intelligence (AI) technology receives extensive attention in the
manufacturing field. As the core technology, it generates considerable interest among smart …
manufacturing field. As the core technology, it generates considerable interest among smart …
A bi-population evolutionary algorithm with feedback for energy-efficient fuzzy flexible job shop scheduling
The energy-efficient flexible job shop scheduling problem (FJSP) has attracted much
attention in deterministic cases; however, uncertainty is seldom incorporated into energy …
attention in deterministic cases; however, uncertainty is seldom incorporated into energy …
Multi-objective feature selection based on artificial bee colony: An acceleration approach with variable sample size
Due to the need to repeatedly call a classifier to evaluate individuals in the population,
existing evolutionary feature selection algorithms have the disadvantage of high …
existing evolutionary feature selection algorithms have the disadvantage of high …
An effective hybrid genetic algorithm and variable neighborhood search for integrated process planning and scheduling in a packaging machine workshop
Process planning and scheduling are modeled sequentially in the traditional manufacturing
system. However, because of their complementarity, the increasing need to integrate them …
system. However, because of their complementarity, the increasing need to integrate them …
A systematic review of decision-making in remanufacturing
Potential benefits have made remanufacturing attractive over the last decade. Nevertheless,
the complexity and uncertainties associated with the process of managing returned products …
the complexity and uncertainties associated with the process of managing returned products …
A hybrid artificial bee colony algorithm for flexible job shop scheduling with worker flexibility
G Gong, R Chiong, Q Deng, X Gong - International journal of …, 2020 - Taylor & Francis
The traditional flexible job shop scheduling problem (FJSP) considers machine flexibility but
not worker flexibility. Given the influence and potential of human factors in improving …
not worker flexibility. Given the influence and potential of human factors in improving …