The so-called “smartization” of manufacturing industries has been conceived as the fourth
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …

Over the last 30 years, supply chain sustainability has become one of the most dynamic and
prolific decision management research fields. The volume of primary and secondary …

Distributed scheduling problem, a novel model of intelligent manufacturing, urgently needs
new scheduling methods to meet the dynamic market demand. The inverse scheduling in a …

Manufacturing enterprises nowadays face huge environmental challenges because of
energy consumption and associated environmental impacts. One of the effective strategies …

This paper proposes an energy-aware multi-objective optimization algorithm (EA-MOA) for
solving the hybrid flow shop (HFS) scheduling problem with consideration of the setup …

Carbon dioxide (CO 2) is the most prevalent Greenhouse gas (GHG) produced by human
activities. Industrialization has been among the primary factors for increased CO 2 …

The current industrial context favors the generation of large amounts of data, most of which
still seems to remain unexplored by the majority of enterprises. This paper presents a …

Permutation flow shop scheduling problems (PFSPs) have been extensively studied
because of its broad industrial applications. However, setup and transportation time are …

The literature on energy management in manufacturing is rapidly growing. Since the
literature is also quite fragmented, we believe that the time has come to delve into current …

Energy consumption in machining contributes a significant part of manufacturing cost and
produces a great environmental impact. This paper provides a critical assessment on energy …