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 …

Abstract The Job Shop Scheduling Problem (JSSP) has been widely studied in recent
decades. Various approaches have been proposed to support scheduling decisions …

Manufacturing enterprises nowadays face huge environmental challenges because of
energy consumption and associated environmental impacts. One of the effective strategies …

Improving energy performance has been recognized as an effective measure to promote the
energy saving and emission reduction and to realize the sustainable development. Methods …

Recently, many manufacturing enterprises pay closer attention to energy efficiency due to
increasing energy cost and environmental awareness. Energy-efficient scheduling of …

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 …

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 …

With the continuous development of human-centric, resilient, and sustainable manufacturing
towards Industry 5.0, Artificial Intelligence (AI) has gradually unveiled new opportunities for …

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

Based on the analysis of multi-objective flexible job-shop scheduling problem (FJSP), a
multi-objective low-carbon job-shop scheduling problem (MLFJSP) with variable processing …