Meta-heuristic approaches are general algorithmic framework, often nature-inspired and
designed to solve NP-complete optimization problems in cellular manufacturing systems …

Solving optimization problems with parallel algorithms has a long tradition in OR. Its future
relevance for solving hard optimization problems in many fields, including finance, logistics …

Hybrid flow shop scheduling problems are encountered in many real-world manufacturing
operations such as computer assembly, TFT-LCD module assembly, and solar cell …

In a flexible job-shop scheduling problem (FJSP), an operation can be assigned to one of a
set of eligible machines. Therefore, the problem is to simultaneously determine both the …

This paper presents a novel mixed-integer non-linear programming model for the layout
design of a dynamic cellular manufacturing system (DCMS). In a dynamic environment, the …

The most recent revolution in industry (Industrial Revolution 4.0) requires increased
flexibility, agility and efficiency in the use of production equipment. The Dynamic Cellular …

This paper addresses the dynamic cell formation problem (DCF). In dynamic environment,
the product demand and mix changes in each period of a multiperiod planning horizon. It …

The flexible job-shop scheduling problem is an extension of the classical job-shop
scheduling problem by allowing an operation to be assigned to one of a set of eligible …

Considering the ever changing market conditions, it is essential to design responsive and
flexible manufacturing systems. This study addresses the multi-period Dynamic Cellular …

The Cell Formation Problem (CFP) involves the clustering of machines to enhance
productivity and capitalize on various benefits. This study addresses a variant of the problem …