Cellular Manufacturing (CM) has been emerged as a strong approach for improving operations in batch and job shop environments. In cellular manufacturing, Cell formation, static layouts, dynamic layouts are the prime areas for achieving the optimal cellular layout for any problems. In this paper it is decided to review the recent research work in this particular area and to project the effective...

The application of pattern recognition (PR) techniques, artificial neural networks (ANNs), and nowadays hybrid artificial intelligence (AI) techniques in manufacturing can be regarded as consecutive elements of a process started two decades ago. The fundamental aim of the paper is to outline the importance of soft computing and hybrid AI techniques in manufacturing by introducing a genetic algo...

The task of job shop scheduling – determining the sequence and timing of jobs on available resources – is one of the most discussed practical problems in operations management. There are many appropriate problem definitions for job shop scheduling due to the complex and dynamic nature of the problem with a large number of variables and constraints linked to jobs and resources, such as specific ...

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 frequently occur smart manufacturing, making dynamic (DJSSP) methods urgently needed. Existing rule-based meta-heuristic cannot cope with DJSSPs of different sizes real time. This paper proposes an end-to-end transforme...