Abstract
Nowadays, with the increasing pressure of the competitive business environment and demand for diverse products, manufacturers are force to seek for solutions that reduce production costs and rise product quality. Cellular manufacturing system (CMS), as a means to this end, has been a point of attraction to both researchers and practitioners. Limitations of cell formation problem (CFP), as one of important topics in CMS, have led to the introduction of virtual CMS (VCMS). This research addresses a bi-objective dynamic virtual cell formation problem (DVCFP) with the objective of finding the optimal formation of cells, considering the material handling costs, fixed machine installation costs and variable production costs of machines and workforce. Furthermore, we consider different skills on different machines in workforce assignment in a multi-period planning horizon. The bi-objective model is transformed to a single-objective fuzzy goal programming model and to show its performance; numerical examples are solved using the LINGO software. In addition, genetic algorithm (GA) is customized to tackle large-scale instances of the problems to show the performance of the solution method.
Highlights
In current competitive business environment, customers demand diverse products with higher quality at lower costs
Nowadays, with the increasing pressure of the competitive business environment and demand for diverse products, manufacturers are force to seek for solutions that reduce production costs and rise product quality
cellular manufacturing (CM) is described as a manufacturing procedure which produces part families within a cell of machines serviced by operators and/or robots functioning only within the cell
Summary
In current competitive business environment, customers demand diverse products with higher quality at lower costs. Dynamic cellular manufacturing system (DCMS) is one of the methods proposed for increasing the applicability of CMS when the demand for products fluctuates. In VCMS, unlike traditional cellular manufacturing, machines are not physically grouped into cells nor moved from their positions. In VCMS, better controlling and planning of production is obtained by grouping of machines into virtual cells. When a product mix or part demand level changes from a period to another, the configuration of cells may not be optimal anymore. The cells are reconfigured in the beginning of a period leading to a change in machine groups and parts families and work teams. Dynamic virtual cell formation (DVCF), unlike conventional dynamic manufacturing systems, can be utilized in this reGArd while reducing some costs, such as actual machine relocation costs. It can be seen that the manufacturing cells are virtual
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
