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 …

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 …

As an important branch of production scheduling, flexible job-shop scheduling problem
(FJSP) is difficult to solve and is proven to be NP-hard. Many intelligent algorithms have …

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 …

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 …

In practical applications, particularly in flexible manufacturing systems, there is a high level
of uncertainty. A type-2 fuzzy logic system (T2FS) has several parameters and an enhanced …

The utilization of real-time information in production scheduling decisions becomes possible
with the help of new developments in Information Technology and Industrial Informatics …

The introduction of modern technologies in manufacturing is contributing to the emergence
of smart (and data-driven) manufacturing systems, known as Industry 4.0. The benefits of …

The many-objective distributed flexible job shop collaborative scheduling problem (Ma-
ODFJCSP) is important in order to realize the green, flexible, and intelligent manufacturing …

This work addresses the flexible job shop scheduling problem considering new job arrivals
which is a common occurrence in real-world manufacturing enterprises. With growing …