Plastic is an incredibly versatile and useful material, however with only a fraction of this
material being collected for recycling, it thus creates a serious environmental issue. Much of …

The purpose of this study is to summarize the pattern recognition (PR) and deep learning
(DL) artificial intelligence methods developed for the management of data in the last six …

In this work, we integrate the concepts of Industry 4.0, smart manufacturing, and sustainable
manufacturing in a model that provides a conceptual framework for the study of long-term …

Cities are the core of social interactions and resource consumption in our current times.
However, urban systems are still largely based on linear activities in which resources are …

Over the last two decades, solid waste management in the Middle East–North Africa (MENA)
region has been one of the major challenges due to increasing solid waste quantities and …

Municipal waste is collected and processed by or on behalf of municipalities. The term
excludes municipal sewage networks, treatment, and garbage from building and demolition …

This study analyses the main challenges, trends, technological approaches, and artificial
intelligence methods developed by new researchers and professionals in the field of …

Reverse logistics (RL) studies, in recent times, have gained considerable attention among
practitioners and scholars in different geographical regions. This is due to the potential of RL …

Despite growing interest in smart manufacturing, there is little information on how
organizations can approach the alignment of strategic processes with Industry 4.0. This …

The present research offeres a model to the advantage of operations for the food reverse
supply chain by performancing Industry 4.0 Revolutions model of expanding a fuzzy multi …