Fuzzy Logic-Based Production Scheduling and Rescheduling in the Presence of Uncertainty

Sanja Petrovic, Dobrila Petrovic, Edmund Burke

    Research output: Chapter in Book/Report/Conference proceedingChapter

    4 Citations (Scopus)

    Abstract

    Production scheduling represents a major administrative and management issue in modern production planning and control. Ever since the first results of modern scheduling theory appeared some 50 years ago, scheduling research has attracted a lot of attention from both academia and industry. The diversity of scheduling problems, the large-scale dimension and dynamic nature of many modern problem-solving environments make this a very complex and difficult research area.
    Original languageEnglish
    Title of host publicationPlanning Production and Inventories in the Extended Enterprise
    EditorsKarl G Kempf, Pınar Keskinocak, Reha Uzso
    PublisherSpringer Verlag
    Pages531-562
    VolumeA State-of-the-Art Handbook, Volume 2
    ISBN (Print)978-1-4419-8190-5
    DOIs
    Publication statusPublished - 2011

    Fingerprint

    Production/scheduling
    Uncertainty
    Fuzzy logic
    Rescheduling
    Industry
    Production planning and control
    Problem solving
    Issue management

    Bibliographical note

    This paper is not available in the repository

    Keywords

    • Production/Logistics
    • Engineering Economics
    • Organization
    • Logistics
    • Marketing
    • Operations Research/Decision Theory
    • Industrial and Production Engineering
    • Operations Research
    • Mathematical Programming
    • Economics/Management Science
    • general

    Cite this

    Petrovic, S., Petrovic, D., & Burke, E. (2011). Fuzzy Logic-Based Production Scheduling and Rescheduling in the Presence of Uncertainty. In K. G. Kempf, P. Keskinocak, & R. Uzso (Eds.), Planning Production and Inventories in the Extended Enterprise (Vol. A State-of-the-Art Handbook, Volume 2, pp. 531-562). Springer Verlag. https://doi.org/10.1007/978-1-4419-8191-2_20

    Fuzzy Logic-Based Production Scheduling and Rescheduling in the Presence of Uncertainty. / Petrovic, Sanja; Petrovic, Dobrila; Burke, Edmund.

    Planning Production and Inventories in the Extended Enterprise. ed. / Karl G Kempf; Pınar Keskinocak; Reha Uzso. Vol. A State-of-the-Art Handbook, Volume 2 Springer Verlag, 2011. p. 531-562.

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Petrovic, S, Petrovic, D & Burke, E 2011, Fuzzy Logic-Based Production Scheduling and Rescheduling in the Presence of Uncertainty. in KG Kempf, P Keskinocak & R Uzso (eds), Planning Production and Inventories in the Extended Enterprise. vol. A State-of-the-Art Handbook, Volume 2, Springer Verlag, pp. 531-562. https://doi.org/10.1007/978-1-4419-8191-2_20
    Petrovic S, Petrovic D, Burke E. Fuzzy Logic-Based Production Scheduling and Rescheduling in the Presence of Uncertainty. In Kempf KG, Keskinocak P, Uzso R, editors, Planning Production and Inventories in the Extended Enterprise. Vol. A State-of-the-Art Handbook, Volume 2. Springer Verlag. 2011. p. 531-562 https://doi.org/10.1007/978-1-4419-8191-2_20
    Petrovic, Sanja ; Petrovic, Dobrila ; Burke, Edmund. / Fuzzy Logic-Based Production Scheduling and Rescheduling in the Presence of Uncertainty. Planning Production and Inventories in the Extended Enterprise. editor / Karl G Kempf ; Pınar Keskinocak ; Reha Uzso. Vol. A State-of-the-Art Handbook, Volume 2 Springer Verlag, 2011. pp. 531-562
    @inbook{ca31cf5c4b3f4a41ab7e1cf096796ccf,
    title = "Fuzzy Logic-Based Production Scheduling and Rescheduling in the Presence of Uncertainty",
    abstract = "Production scheduling represents a major administrative and management issue in modern production planning and control. Ever since the first results of modern scheduling theory appeared some 50 years ago, scheduling research has attracted a lot of attention from both academia and industry. The diversity of scheduling problems, the large-scale dimension and dynamic nature of many modern problem-solving environments make this a very complex and difficult research area.",
    keywords = "Production/Logistics, Engineering Economics, Organization, Logistics, Marketing, Operations Research/Decision Theory, Industrial and Production Engineering, Operations Research, Mathematical Programming, Economics/Management Science, general",
    author = "Sanja Petrovic and Dobrila Petrovic and Edmund Burke",
    note = "This paper is not available in the repository",
    year = "2011",
    doi = "10.1007/978-1-4419-8191-2_20",
    language = "English",
    isbn = "978-1-4419-8190-5",
    volume = "A State-of-the-Art Handbook, Volume 2",
    pages = "531--562",
    editor = "Kempf, {Karl G} and Pınar Keskinocak and Reha Uzso",
    booktitle = "Planning Production and Inventories in the Extended Enterprise",
    publisher = "Springer Verlag",
    address = "Austria",

    }

    TY - CHAP

    T1 - Fuzzy Logic-Based Production Scheduling and Rescheduling in the Presence of Uncertainty

    AU - Petrovic, Sanja

    AU - Petrovic, Dobrila

    AU - Burke, Edmund

    N1 - This paper is not available in the repository

    PY - 2011

    Y1 - 2011

    N2 - Production scheduling represents a major administrative and management issue in modern production planning and control. Ever since the first results of modern scheduling theory appeared some 50 years ago, scheduling research has attracted a lot of attention from both academia and industry. The diversity of scheduling problems, the large-scale dimension and dynamic nature of many modern problem-solving environments make this a very complex and difficult research area.

    AB - Production scheduling represents a major administrative and management issue in modern production planning and control. Ever since the first results of modern scheduling theory appeared some 50 years ago, scheduling research has attracted a lot of attention from both academia and industry. The diversity of scheduling problems, the large-scale dimension and dynamic nature of many modern problem-solving environments make this a very complex and difficult research area.

    KW - Production/Logistics

    KW - Engineering Economics

    KW - Organization

    KW - Logistics

    KW - Marketing

    KW - Operations Research/Decision Theory

    KW - Industrial and Production Engineering

    KW - Operations Research

    KW - Mathematical Programming

    KW - Economics/Management Science

    KW - general

    U2 - 10.1007/978-1-4419-8191-2_20

    DO - 10.1007/978-1-4419-8191-2_20

    M3 - Chapter

    SN - 978-1-4419-8190-5

    VL - A State-of-the-Art Handbook, Volume 2

    SP - 531

    EP - 562

    BT - Planning Production and Inventories in the Extended Enterprise

    A2 - Kempf, Karl G

    A2 - Keskinocak, Pınar

    A2 - Uzso, Reha

    PB - Springer Verlag

    ER -