Job shop scheduling problem (JSSP) is a thriving area of scheduling research, which has
been concerned and studied widely by scholars in engineering and academic fields. This …

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 …

This study investigates the optimization of non-permutation flow-shop scheduling problems
and lot-sizing simultaneously. Contrary to previous works, we first study the energy …

Nowadays, recent advances and developments in the agricultural sector have raised
concerns regarding the environmental impact of agricultural wastes and the safety of …

In modern discrete flexible manufacturing systems, dynamic disturbances frequently occur in
real time and each job may contain several special operations in partial-no-wait constraint …

Traditional job shop scheduling is concentrated on centralized scheduling or semi-
distributed scheduling. Under the Industry 4.0, the scheduling should deal with a smart and …

Dynamic scheduling methods are essential and critical to manufacturing systems because of
uncertain events in the production process, such as new job insertions, order cancellations …

Production scheduling and maintenance planning are two of the most important tasks in the
modern manufacturing workshop. Meanwhile, due to the dynamic order arrival and real-time …

Flexible job shop scheduling problem (FJSP) is an NP‐hard combinatorial optimisation
problem, which has significant applications in the real world. Due to its complexity and …

Cyber-physical production systems (CPPS), as an emerging Industry 4.0's technology,
trigger a paradigm shift from descriptive to prescriptive maintenance. In particular …