This paper considers single-machine position-dependent weights scheduling problem with past-sequence-dependent delivery times and truncated sum-of-processing-times-based learning effect. The objective is to minimize the weighted sum of due date, number early jobs tardy jobs, where are weights. Under common slack date different assignments, optimal properties given, corresponding solution algori...

In many real-life applications, it can be often found that multiple agents compete on the usage of a common processing resource in different application environments and different methodological fields, such as artificial intelligence, decision theory, operations research, etc. Moreover, scheduling with multiple agents is relatively unexplored. Based on this observation, this paper attempts to ...

In a production environment, scheduling decides job and machine allocations the operation sequence. shop system, wide variety of jobs, complex routes, real-life events becomes challenging for activities. New, unexpected disrupt schedule require dynamic updates to on an event-based basis. To solve problem, we propose multi-agent system with reinforcement learning aimed at minimization tardiness ...

The parallel machine, distinct due date, early/tardy machine problem closely models the situation faced by ‘Just-In-Time’ (JIT) manufacturers. This paper develops a new method of finding good quality solutions to this scheduling problem by using the neural network. A model for training neural network to sequencing the jobs has been developed based on the vector representation of the early/tardy...