Machine-part Incidence Matrices

Machine-Part Incidence Matrices is a binary matrix representation used in cellular manufacturing that identifies the relationship between machines and parts by indicating, through elemental entries of 0 or 1, whether a particular part requires processing on a specific machine.

29

Publications

1.2K

Citations

59

Authors

30

Institutions

Publications per year

2017–2026

0

Variants

Machine-part Incidence Matrix

Authors

59

  1. YW
    Youkyung Won

    Jeonju University, South Korea

    3 publications · 141 citations

    3

    h-index

  2. RS
    R. Sudhakara Pandian

    Vellore Institute of Technology University, India

    2 publications · 20 citations

    2

    h-index

  3. BR
    Bhaba R. Sarker

    Louisiana State University, United States

    2 publications · 71 citations

    2

    h-index

  4. HS
    Hamid Seifoddini

    University of Wisconsin–Milwaukee, United States

    1 publications · 30 citations

    1

    h-index

  5. CV
    Chidambaram V. Balan

    Louisiana State University, United States

    1 publications · 19 citations

    1

    h-index

1–5 of 59

Venues

  1. International Journal of Production Research

    20 publications · 997 citations

    18

    h-index

  2. IIE Transactions

    3 publications · 93 citations

    3

    h-index

  3. Journal of Manufacturing Systems

    1 publications · 55 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5