Climate change mitigation, the goal of reducing CO2 emissions, more stringent regulations
and the increment in energy costs have pushed researchers to study energy efficiency and …

Carbon peaking and carbon neutrality, which are the significant national strategy for
sustainable development, have attracted considerable attention from production enterprises …

In this study, a self-learning discrete Jaya algorithm (SD-Jaya) is proposed to address the
energy-efficient distributed no-idle flow-shop scheduling problem (FSP) in a heterogeneous …

A distributed flow-shop scheduling problem with lot-streaming that considers completion
time and total energy consumption is addressed. It requires to optimally assign jobs to …

Based on a triple bottom line concept, sustainable development is characterized by the
simultaneous pursuit of economic, environmental and social goals. The implementation of …

In recent years, the application of artificial intelligence has been revolutionizing the
manufacturing industry, becoming one of the key pillars of what has been called Industry 4.0 …

Carbon peaking and carbon neutrality, which are significant strategies for national
sustainable development, have attracted enormous attention from researchers in the …

Scheduling problem with blocking is an attractive research direction due to its wide practical
applications. However, in the distributed hybrid flow shop problem (DHFSP), there are few …

Currently, the healthcare of elderly people arouses widespread concerns since the sharp
increase of aging population puts severe stress on public medical resources. Home health …

The distributed flexible job-shop scheduling problem (DFJSP) is an extension of the flexible
job shop scheduling problem, which is a famous NP-complete combinatorial optimization …