Intelligent scheduling covers various tools and techniques for successfully and efficiently
solving the scheduling problems. In this paper, we provide a survey of intelligent scheduling …

Production Scheduling (PS) is an essential paradigm within supply and manufacturing
systems and an important element of sustainable development. PS, mainly known for its …

This article provides a review about how uncertainties in increasingly complex production
and supply chains should be addressed in scheduling tasks. Uncertainty management will …

Dispatching rules are commonly used for job shop scheduling in industries because they
are easy to implement, and they yield reasonable solutions within a very short computational …

In this study a multi-objective problem considering uncertainty and flexibility of job sequence
in an automated flexible job shop (AFJS) is considered using manufacturing simulation. The …

This study presents an integrated approach based on artificial neural network (ANN),
genetic algorithm (GA) and computer simulation to explore all the solution space in …

This paper considers the use of combination of neural networks and fuzzy system ie
adaptive neuro-fuzzy inference system (ANFIS) applied to the n job, m machine real flexible …

Scheduling of jobs and resources on a shop floor is an ever green optimization problem. Job
shop scheduling problem (JSSP) is an allocation of 'n'jobs on 'm'machines so as to complete …

To maximize profitability and meet customers' expectations, assembly plants strive to
enhance operations and minimize costs. Using discrete-event system simulation and …

Diante das dificuldades que as empresas enfrentam em um mercado cada vez mais
competitivo, a simulação tem sido amplamente utilizada como ferramenta facilitadora para o …