Multi-factory production planning and scheduling problems have been increasingly studied
by scholars recently due to market uncertainty, technological trends like Industry 4.0 and …

This paper focus on artificial intelligence approaches to NP-hard job shop scheduling (JSS)
problem. In the literature successful approaches of artificial intelligence techniques such as …

This paper intends to address the distributed flexible job shop scheduling problem (DFJSP)
with minimizing maximum completion time (makespan). In order to solve this problem, we …

In the DNA microarray research field, the increasing sample size and feature dimension of
the gene expression data prompt the development of an efficient and robust feature …

This study attempts to solve the distributed hybrid flowshop scheduling problem (DHFSP)
with the makespan criterion. First, a mixed-integer linear programming model for the DHFSP …

Order cancellation, due to such as customer plan adjustments or market changes, usually
occurs in the real production environment of distributed flexible job shop scheduling …

This paper studies a new generalization of the regular permutation flowshop scheduling
problem (PFSP) referred to as the distributed permutation flowshop scheduling problem or …

Production scheduling is of great significance in improving production effectiveness while
the energy-efficient problem is one of most concerned problems for researchers and …

Recent years have seen a great deal of attention in energy conservation for production and
manufacturing activities, particularly for energy-intensive industries. One of the useful …

Thus far, the available works on sequencing flexibility in shop floor scheduling only consider
the sequencing flexibility with serial operation constraint. However, the sequencing flexibility …