Programs
- M. Tech. in Automotive Engineering -
- Fellowship In Interventional Pulmonology and Pulmonary Critical care - Fellowship
Publication Type : Conference Paper
Publisher : IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management
Source : IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management, Macao, p.580-584 (2010)
Keywords : Cell traffic, Cellular manufacturing, Cellular manufacturing systems, Characterisation, Expected scenario, Flexible manufacturing systems, Industrial engineering, Machine design, Manufacturing cell formation, Probabilistic products, Product demand, Product mix, Product structure, Production system
School : School of Engineering
Department : Mechanical Engineering
Year : 2010
Abstract : Changes in environment badly affect the performance of the cellular manufacturing system (CMS). Changes in environment are generally reflected in the demand of the items, which are produced in the CMS. The variation in demand can be characterised probabilistically. Two ways of characterisation of this demand are discrete random product mix and random product demand. This paper suggests that, a better CMS design will be obtained if the design is prepared for an expected scenario of the production system when the system is subjected discrete random product mix. The expected inter-cell traffic when this design is subjected to all scenarios will be better than the expected inter-cell traffic of a good design of a scenario when applied to all scenarios. The inputs for the design of CMS are machine sequence for the various items (component, subassembly or assembly) used in the product, product structure and demand of product. ©2010 IEEE.
Cite this Research Publication : VaMadhusudan Pillai and Chandrasekharan, M. Pb, “Manufacturing cell formation under probabilistic product mix”, in IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management, Macao, 2010, pp. 580-584.