Abstract
Tolerance on parts dimension plays a vital role as the quality of the product depends on sub components tolerance. Thus, precision products that are manufactured reflect at high manufacturing cost. To overcome this situation, sub components of an assembly may be manufactured with wider tolerance, measured (using latest technologies like image processing) and grouped in partition and corresponding group components may be mated randomly. This present work is to obtain an optimum manufacturing tolerance to selective assembly technique using GA and to obtain maximum number of closer assembly specification products from wider tolerance sub components. A two components product (fan shaft assembly) is considered as an example problem, in which the subcomponents are manufactured with wide tolerance and partitioned into three to ten groups. A combination of best groups is obtained for the various assembly specifications with different manufacturing tolerances. The proposed method resulted nearly 965 assemblies produced out of one thousand parts with 15.86% of savings in manufacturing cost.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
Allen Pugh G (1986) Partitioning for selective assembly. Proceedings of the 8th Annual conference on computers and industrial engineering, Orlando, FL, USA. Comput Ind Eng 11(1–4):175–179
Shan HS, Satyawadi A (1989) Computer-aided component selection for precision assembly. 10th International conference on production research. University of Nottingham, UK, pp 734–739
Fang XD, Zhang Y (1995) A new algorithm for minimizing the surplus parts in selective assembly. Comput Ind Eng 28(2):341–350
Chan KC, Linn RJ (1998–99) A grouping method for selective assembly of parts of dissimilar distributions. Qual Eng 11(2):221–234
Thesen A, Jantayavichit A (1999) Design and evaluation of a selective assembly station for high precision scroll compressor shells. Proc 1999 Winter Simulation Conference, Madison, pp 694–700
Kannan SM, Jayabalan V (2001–02) A new grouping method for minimizing the surplus parts in selective assembly. Qual Eng 14(1):67–75
Kern DC (2003) Forecasting manufacturing variation using historical process capability data: application for random assembly and serial processing. Dissertation, Massachusetts Institute of Technology, pp 137–188
Mease D, Sudjianto A, Nair VN (2004) Selective assembly in manufacturing: statistical issues and optimal binning strategies. Technometrics 46(2):165–175
Chen MS (1996) Optimizing tolerance allocation for mechanical components correlated by selective assembly. Int J Adv Manuf Technol 12(5):349–355
Chase KW (1999) Minimum cost tolerance allocation ADCATS. Report No. 99-5
Dilplaris SC, Sfantsikopoulos P (2000) Cost – tolerance function: a new approach for cost optimum machining accuracy. Int J Adv Manuf Technol 16(1):32–38
Carfagni M, Governi L, Fhiesi F (2001) Development of a method for automatic tolerance allocation. Proc XII ADM International Conference, Italy, pp D1-20–D1-27
Singh PK, Jain SC, Jain PK (2004) A GA –based solution to optimum tolerance synthesis of mechanical assemblies with alternative manufacturing processes – bench marking with the exhaustive search method using Lagrange multiplier. Proc IMechE J Eng Manuf 218(B7):765–778
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Kumar, M.S., Kannan, S. Optimum manufacturing tolerance to selective assembly technique for different assembly specifications by using genetic algorithm. Int J Adv Manuf Technol 32, 591–598 (2007). https://doi.org/10.1007/s00170-005-0337-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-005-0337-x