This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …

The paper outlines key characteristics of smart manufacturing, data-driven, networked,
connected, resource sharing, resilient, and sustainable. Manufacturing resiliency and …

The energy-efficient flexible job shop scheduling problem (FJSP) has attracted much
attention in deterministic cases; however, uncertainty is seldom incorporated into energy …

Flexible job shop scheduling problems have been extensively investigated in the past
decade; however, transportation, sequence-dependent setup times (SDST) and energy …

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 …

In recent years, both distributed scheduling problem and energy-efficient scheduling have
attracted much attention. As the integration of these two problems, the distributed energy …

Recent years have seen a great deal of attention in energy conservation for production and
manufacturing activities, particularly for energy-intensive industries. One of the useful …

Recent advancements in production scheduling have arisen in response to the need for
adaptation in dynamic environments. This paper addresses the challenge of real-time …

The quest for sustainability has arrived to the manufacturing world, with the emergence of a
research field known as green scheduling. Traditional performance objectives now co-exist …

Conservation of natural resources, reduction of waste, and minimization of energy
consumption is now the primary focus of green supply chain management. In order to …