In this paper, we present a simulated annealing (SA) and a genetic algorithm (GA) based on heuristics for scheduling problem of jobs in virtual cellular manufacturing systems. A virtual manufacturing cell (VMC) is a group of resources that is dedicated to the manufacturing of a part family. Although this grouping is not reflected in the physical structure of the manufacturing system, but machin...

This paper addresses a stochastic model in order to design the cellular manufacturing systems (CMSs) under uncertain environment. In real-world cases, any parameters such as demand, processing time, inter arrival time and etc may change over the planning horizon. In this research, it’s assumed that processing time for parts on machines and arrival time for parts to cells are stochastic and desc...

Metal additive manufacturing (AM) technologies are attracting attentions not only as a fabrication process of complicated three-dimensional parts but also microstructure controlling processes. In powder bed fusion (PBF)-type AM, crystallographic texture can be controlled by scanning strategies energy beam. To optimize microstructures, computer simulations for predicting microstructures play ver...

In recent years, artificial neural networks have been applied to solve a variety of problems in numerous areas of manufacturing at both system and process levels. The manufacturing applications of neural networks comprise the design of manufacturing systems (including part-family and machine-cell formation for cellular manufacturing systems); modeling, planning, and scheduling of manufacturing ...

In this study, we highlight the impact of advanced new technical equipment on work design issues in a cellular manufacturing (CM) production environment. A large number of studies deal with the influence of technical systems on work design (e.g. Benders, 1993; McLoughin and Clark, 1994) or deal with work design issues in cellular manufacturing systems (e.g. Huber and Brown, 1991). However, as f...