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

This paper investigates a dynamic scheduling problem within a job shop robotic cell,
wherein multiple robotic arms are responsible for material handling in a U-shaped …

Smart manufacturing scheduling (SMS) requires a high degree of flexibility to successfully
cope with changes in operational decision level planning processes in today's production …

Robust optimization (RO) has been recognized as an effective means to deal with
unanticipated events in highly uncertain and risky environments. This paper systematically …

To secure a larger market share in the dynamically evolving personalized market demand,
enterprises have to adopt a more flexible production mode. In this context, the …

Serial locks with multiple chambers are common on major inland waterways worldwide. For
the first time, this study designs a novel heuristic algorithmic structure for the generalized …

Planning tasks are important in construction, manufacturing, logistics, and education. At the
same time, scheduling problems belong to the class of NP-hard optimization problems. Ant …

Assembly job-shop scheduling problems (AJSSP), considering material integrity and
assembly sequential constraint (AJSSP-IS), exist widely in rolling stock industries …

The dynamic job-shop scheduling problem (DJSP) is a typical of scheduling tasks where
rescheduling is performed when encountering unexpected events such as random job …

Previous research focuses on approaches of deep reinforcement learning (DRL) to optimize
diverse types of the single-objective dynamic flexible job shop scheduling problem (DFJSP) …