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 …

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 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 …

Order cancellation, due to such as customer plan adjustments or market changes, usually
occurs in the real production environment of distributed flexible job shop scheduling …

Due to increasing energy requirements and associated environmental impacts, nowadays
manufacturing companies are facing the emergent challenges to meet the demand of …

Job shop scheduling has been the focus of a substantial amount of research over the last
decade and most of these approaches are formulated and designed to address the static job …

Dynamic flexible job shop scheduling is of significant importance to the implementation of
real-world manufacturing systems. In order to capture the dynamic and multi-objective …

In the actual production, the insertion of new job and machine preventive maintenance (PM)
are very common phenomena. Under these situations, a flexible job-shop rescheduling …

Flexible Job Shop Scheduling Problem (FJSSP) is an extension of the classical Job Shop
Scheduling Problem (JSSP). The FJSSP is known to be NP‐hard problem with regard to …