Journal article
Optimum design of component tolerances of assemblies using constraint networks
International journal of production economics, v 84(2), pp 149-163
11 May 2003
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper proposes an efficient algorithm for optimum allocation of tolerances among components of an assembly with an objective to minimize the total cost of manufacturing while meeting the tolerance specifications of the assembly. The assembly is first represented as a two-layer constraint network by describing its functions, attributes and then entities. Forward propagation of entity tolerances is carried out to see whether the present tolerances will meet the assembly tolerances. Backward propagation (BP) is carried out to find out the dependence of incremental change of any assembly function tolerance with that of the associated attributes and the entities. Constraints for the optimization problem are obtained from the two-stage BP of the constraint networks of the assembly for the required tolerances. The objective function of the optimization problem is obtained as an algebraic sum of the cost of manufacturing of individual entities with required tolerances. Lagrange multiplier method is then applied to obtain the optimum tolerances of the entities or components. This algorithm will provide an exact, closed-form solution. Example is provided for illustration of the algorithm. [PUBLICATION ABSTRACT]
Metrics
Details
- Title
- Optimum design of component tolerances of assemblies using constraint networks
- Creators
- Christopher Yang - Chinese University of Hong KongV N Achutha Naikan - Indian Institute of Technology Kharagpur
- Publication Details
- International journal of production economics, v 84(2), pp 149-163
- Publisher
- Elsevier Sequoia S.A
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000182764900003
- Scopus ID
- 2-s2.0-0037432975
- Other Identifier
- 991021855184604721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Industrial
- Engineering, Manufacturing
- Operations Research & Management Science