On a two-stage hierarchical production planning system for process industries

Hiroshi Katayama

    Research output: Contribution to journalArticle

    12 Citations (Scopus)

    Abstract

    The objective of this paper is to propose a relevant production planning procedure for multi-item continuous production by the specified petrochemical plant, which is one of the typical processes of petrochemical companies. The tough problem of such production system management is to determine the product-mix to be produced in the current planning period based on termwise forecasts of demand quantities, constraints of plant capability, etc. Most of the current procedures operated in actual factories are empirical heuristic approach and were relevant under stable demand structure. However, due to their rough structure and recent versatile market needs, inefficient utilisation of plant and growing indirect resources consumption for production activity such as man-power of management become urgent problems. From this point of view, a systematic procedure to eliminate such difficulties is proposed in terms of a two-stage automated hierarchical planning procedure, consisting of both a coordination function between production periods and an efficient job lot sequencing function. Then, the feasibility and relevance of the system are investigated through quantitative simulation experiments for further consideration of actual implementation.

    Original languageEnglish
    Pages (from-to)63-72
    Number of pages10
    JournalInternational Journal of Production Economics
    Volume44
    Issue number1-2 SPEC. ISS.
    Publication statusPublished - 1996 Jun 15

    Fingerprint

    Planning
    Industry
    Petrochemical plants
    Petrochemicals
    Industrial plants
    Process industry
    Production planning
    Experiments
    Sequencing
    Simulation experiment
    Heuristics
    Factory
    Product mix
    System management
    Production function
    Resources

    Keywords

    • Hierarchy
    • Integer programming
    • Neural network
    • Process industry
    • Production planning
    • Sequencing

    ASJC Scopus subject areas

    • Economics and Econometrics
    • Industrial and Manufacturing Engineering

    Cite this

    On a two-stage hierarchical production planning system for process industries. / Katayama, Hiroshi.

    In: International Journal of Production Economics, Vol. 44, No. 1-2 SPEC. ISS., 15.06.1996, p. 63-72.

    Research output: Contribution to journalArticle

    @article{b4add2e9eacb43c2b9f5941abff91418,
    title = "On a two-stage hierarchical production planning system for process industries",
    abstract = "The objective of this paper is to propose a relevant production planning procedure for multi-item continuous production by the specified petrochemical plant, which is one of the typical processes of petrochemical companies. The tough problem of such production system management is to determine the product-mix to be produced in the current planning period based on termwise forecasts of demand quantities, constraints of plant capability, etc. Most of the current procedures operated in actual factories are empirical heuristic approach and were relevant under stable demand structure. However, due to their rough structure and recent versatile market needs, inefficient utilisation of plant and growing indirect resources consumption for production activity such as man-power of management become urgent problems. From this point of view, a systematic procedure to eliminate such difficulties is proposed in terms of a two-stage automated hierarchical planning procedure, consisting of both a coordination function between production periods and an efficient job lot sequencing function. Then, the feasibility and relevance of the system are investigated through quantitative simulation experiments for further consideration of actual implementation.",
    keywords = "Hierarchy, Integer programming, Neural network, Process industry, Production planning, Sequencing",
    author = "Hiroshi Katayama",
    year = "1996",
    month = "6",
    day = "15",
    language = "English",
    volume = "44",
    pages = "63--72",
    journal = "International Journal of Production Economics",
    issn = "0925-5273",
    publisher = "Elsevier",
    number = "1-2 SPEC. ISS.",

    }

    TY - JOUR

    T1 - On a two-stage hierarchical production planning system for process industries

    AU - Katayama, Hiroshi

    PY - 1996/6/15

    Y1 - 1996/6/15

    N2 - The objective of this paper is to propose a relevant production planning procedure for multi-item continuous production by the specified petrochemical plant, which is one of the typical processes of petrochemical companies. The tough problem of such production system management is to determine the product-mix to be produced in the current planning period based on termwise forecasts of demand quantities, constraints of plant capability, etc. Most of the current procedures operated in actual factories are empirical heuristic approach and were relevant under stable demand structure. However, due to their rough structure and recent versatile market needs, inefficient utilisation of plant and growing indirect resources consumption for production activity such as man-power of management become urgent problems. From this point of view, a systematic procedure to eliminate such difficulties is proposed in terms of a two-stage automated hierarchical planning procedure, consisting of both a coordination function between production periods and an efficient job lot sequencing function. Then, the feasibility and relevance of the system are investigated through quantitative simulation experiments for further consideration of actual implementation.

    AB - The objective of this paper is to propose a relevant production planning procedure for multi-item continuous production by the specified petrochemical plant, which is one of the typical processes of petrochemical companies. The tough problem of such production system management is to determine the product-mix to be produced in the current planning period based on termwise forecasts of demand quantities, constraints of plant capability, etc. Most of the current procedures operated in actual factories are empirical heuristic approach and were relevant under stable demand structure. However, due to their rough structure and recent versatile market needs, inefficient utilisation of plant and growing indirect resources consumption for production activity such as man-power of management become urgent problems. From this point of view, a systematic procedure to eliminate such difficulties is proposed in terms of a two-stage automated hierarchical planning procedure, consisting of both a coordination function between production periods and an efficient job lot sequencing function. Then, the feasibility and relevance of the system are investigated through quantitative simulation experiments for further consideration of actual implementation.

    KW - Hierarchy

    KW - Integer programming

    KW - Neural network

    KW - Process industry

    KW - Production planning

    KW - Sequencing

    UR - http://www.scopus.com/inward/record.url?scp=0030173501&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=0030173501&partnerID=8YFLogxK

    M3 - Article

    AN - SCOPUS:0030173501

    VL - 44

    SP - 63

    EP - 72

    JO - International Journal of Production Economics

    JF - International Journal of Production Economics

    SN - 0925-5273

    IS - 1-2 SPEC. ISS.

    ER -