Research on scheduling problems is an evergreen challenge for industrial engineers. The
growth of digital technologies opens the possibility to collect and analyze great amount of …

We review the literature about shop scheduling problems in manufacturing systems,
revealing the concepts and methodologies that most impact the usage of scheduling theory …

This paper presents two well-known meta-heuristics which are Genetic Algorithm (GA) and
Ant Colony Optimization Algorithm (ACO) to solve the dynamic integrated process planning …

The tremendous growth of biological data processing systems in the realm of health care
applications has made real-time information accessible to everyone with no processing lags …

The article discusses the development and study of a new matrix-based hybrid genetic
algorithm (MBHGA) for solving an agent-based model of firms' behavior with controlled trade …

This study presents a particular case of type II assembly line balancing problem with task
restrictions (TRALBP-2) in which the assembly tasks have to be assigned to workstations …

The advancement of technology enables manufacturing companies to employ multifunction
machines to increase the flexibility of a system in producing miscellaneous products in a …

The improvement of the metaheuristic algorithms is one of the exciting topics to investigators
in current years to resolve the optimisation and engineering problems. One of the population …

Abstracts Facing the real-time and low-power requirements in non-smooth signal
processing, the traditional digital wavelet transform method limits its efficiency and feasibility …

Small and medium-sized manufacturing enterprises involve a lot of customized products.
The degree of adaptability should be noted while improving product design and …