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 …

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 …

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

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

In recent years there has been increased concern on energy efficiency of industries. Since
the scheduling problems in the shop floors are directly related to the energy consumption …

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 …

This paper presents a modeling and solution approach for a robust job-shop scheduling
problem (JSP) under deterministic and stochastic machine unavailability caused …

Concentrated on the production scheduling of complex products that are assembled by
multiple and multilevel manufactured parts, this paper studies the flexible job shop …