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 …

Recent years, the multi-objective evolutionary algorithm based on decomposition (MOEA/D)
has been researched and applied for numerous optimization problems. In this study, we …

Flow shop scheduling is a type of scheduling where sequence follows for each job on a set
of machines for processing. In practice, jobs in flow shops can arrive at irregular times, and …

To address the green reentrant hybrid flow shop-scheduling problem (GRHFSP), we
performed lifecycle assessments for evaluating the comprehensive impact of resources and …

Energy systems in manufacturing companies are changing due to two technological
developments. On the one hand, energy is generated decentrally using technologies such …

The demand for electrical power in industrial production processes often leads to increasing
energy costs for companies. In the course of a more sustainable power generation in the …

Due to climate change and the increasing scarcity of resources, the sustainability
performance of companies is increasingly becoming the focus of science and practice …

This study addresses a new single-item lot-sizing problem for flow-shop configurations by
integrating the capacity contract selection problem with multiple energy sources. To the best …

In a factory of automobile component primer painting, various automobile parts are attached
to overhead hangers in a conveyor line and undergo a series of coating processes …

There is an increasing concern about incorporating green criteria into production planning
approaches. Production planning models that ignore green parameters may generate …