Dynamic scheduling plays a pivotal role in smart manufacturing by enabling real-time
adjustments to production schedules, thereby enhancing system resilience and promoting …

Job shop scheduling problem (JSSP) is essential in the production, which can significantly
improve production efficiency. Dynamic events such as machine breakdown and job rework …

In this paper a new predictive-reactive rescheduling method is presented based on the
dynamic pegging concept. Scheduling adjustments in a multi-level, mixed-model production …

Industry 4.0 induces an increasing demand of autonomous interaction between the units of
production facilities, like work centers and transportation equipment. This has an impact on …

Robust scheduling problem is a major decision problem that is addressed in the literature,
especially for remanufacturing systems; this problem is complex because of the high …

The dynamic job shop scheduling problem (DJSSP) is an NP-hard optimization challenge,
characterized by unpredictable events such as new job arrivals during scheduling. Our goal …

The job shop scheduling problem, a notable NP-hard problem, requires scheduling jobs
with multiple operations on specific machines in a predetermined order. A strong …

This paper examines some specific occupational hazards and certain economic indicators of
sustainability in a make-to-order manufacturing system. In this respect, two multi-objective …

Introducción. En el presente documento, se evalúa el comportamiento de los siguientes
factores sociales y económicos de sostenibilidad: proporción" no conforme" generada por la …

In contrast to earlier manufacturing environments where items are either transported
manually by human labor or human driven vehicles, automation requirements of Industry 4.0 …