Linear programming in disassembly/clustering sequence generation

A.J.D. Lambert

    Research output: Contribution to journalArticleAcademicpeer-review

    201 Citations (Scopus)
    1 Downloads (Pure)

    Abstract

    Based on earlier research on optimal disassembly sequence generation, notably graphically supported search methods, a method for solving general optimal disassembly sequence generation problems by linear programming has been developed and described. This method puts no serious restriction to the size of the model. It is adaptable to changes in model structures and constraints, and it is even not restricted to divergent operations, such as disassembly. This is demonstrated by solving the combined disassembly/clustering problem. Clustering is the combination of different disassembly products to categories that can be considered — and sold — as a single product, e.g. steel parts. The theoretical model is validated and clarified by its application to some standard problems from literature.
    Original languageEnglish
    Pages (from-to)723-738
    JournalComputers & Industrial Engineering
    Volume36
    Issue number4
    DOIs
    Publication statusPublished - 1999

    Fingerprint

    Dive into the research topics of 'Linear programming in disassembly/clustering sequence generation'. Together they form a unique fingerprint.

    Cite this