In the last 25 years, extensive research has been carried out addressing the flexible job
shop scheduling (JSS) problem. A variety of techniques ranging from exact methods to …

The flexible job shop scheduling problem (FJSP) is an NP-hard combinatorial optimization
problem, which has wide applications in the real world. The complexity and relevance of the …

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 …

Flexible job shop scheduling problem (FJSP) which is an extension of the classical job shop
scheduling problem is a very important problem in the modern manufacturing system. It …

Production scheduling that involves maintenance activities and resource constraints plays a
crucial role in manufacturing and service environments of the modern age. While research …

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 …

In recent years, distributed scheduling problems have been well studied for their close
connection with multi-factory production networks. However, the maintenance operations …

The flexible job shop scheduling problems (FJSP) has been studied for many years, and
many different mathematical models and solution approaches have been developed. With …

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 …

This paper presents a novel discrete artificial bee colony (DABC) algorithm for solving the
multi-objective flexible job shop scheduling problem with maintenance activities …