Department of Mechanical engineering

Permanent URI for this collectionhttp://localhost:4000/handle/123456789/1921

Browse

Filters

2004 - 20092

Settings

Author: search.filters.author.Sangwan, Kuldip SinghSubject: search.filters.subject.Analytical hierarchy process (AHP)

Search Results

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    FUGEN: a tool for the design of layouts for cellular manufacturing systems
    (Inder Science, 2009-05) Sangwan, Kuldip Singh
    Design of layouts for Cellular Manufacturing Systems (CMSs) has not received attention by researchers as much as cell formation in cellular manufacturing. In this paper a mathematical model, formulated as a multicriteria Quadratic Assignment Problem (QAP) is proposed for the design of layouts for CMSs with the objective of minimising the material handling cost (quantitative) and maximising the closeness rating (qualitative). A Genetic Algorithm (GA)-based tool called FUGEN, which makes use of crossover, mutation (inversion) and direct entry (elitism) with embedded fuzzy logic and Analytic Hierarchy Process (AHP) models, is developed for the design of layouts for CMSs. An attempt is made to make the model practical by considering the production volume, transfer batch size and operational sequence of parts. The proposed tool is validated using an example from the literature.
  • No Thumbnail Available
    Item
    Multi-attribute decision models for justification of cellular manufacturing systems
    (Inder Science, 2004-11) Sangwan, Kuldip Singh
    There is a general challenge offered to the field of engineering economics by the introduction of advanced manufacturing systems. Typically, the traditional approaches do not account for the significant intangible benefits offered by cellular manufacturing systems. In this paper, an attempt has been made to overcome the above-mentioned deficiencies by presenting two multi-attribute decision models – analytical hierarchy process and performance value analysis – for the justification of CMS. The usefulness of the proposed models is demonstrated through a case situation.