Since the depletion of fossil energy sources, rising energy prices, and governmental
regulation restrictions, the current manufacturing industry is shifting towards more efficient …

Continuously growing demands due to the predictable faults or abnormal events of the
flexible production line are becoming a challenge to easily cause the energy waste, which …

In recent years, energy sustainability has attracted increasing attention from scholars, policy
makers, and practitioners. However, in practical competitiveness, companies also have to …

Machine learning (ML) can be a valuable tool for discovering opportunities to save energy
and resources in manufacturing systems. However, the hype around ML in the context of …

By taking energy awareness and efficiency into consideration, this research applies multiple
linear regression (MLR) models and artificial neural networks (ANNs) for predicting the real …

Production lines modelling has many problems that are difficult to be solved using analytical
solutions, due to uncertainty and/or variability in variables and parameters. This paper is …

Modern manufacturing systems should satisfy emerging needs related to sustainable
development. The design of sustainable manufacturing systems can be valuably supported …

Latest governmental policies aim to mitigate the carbon impact on climate and accelerate
the transition towards carbon neutrality by imposing stronger regulations for companies. The …

The main purpose of this article is to illustrate a decision support system for the redesign of
an existing assembly facility in an automotive factory for new product introduction in a …

The present paper deals with the application of discrete-event simulation (DES) to develop
simulation model for dynamic job-shop manufacturing system (DJMS). In the present time …