Characteristics of distributed autonomous production control

Hiroki Okubo, Jiahua Weng, Hisashi Onari

    Research output: Contribution to journalArticle

    6 Citations (Scopus)

    Abstract

    Four types of intelligence, self-knowing, action-planning target-setting and scope-limiting are essential for the production progress of distributed autonomous production. The fundamental controlling features that differentiate distributed autonomous production control (DIST) and centralized production control (CENT) are the local/global view and concurrent/sequential processing, respectively, in controlling operations. The ability of production control is characterized by response time, planning scope and progressive accuracy. The characteristics of DIST are short response time, narrow planning scope and high progressive accuracy. The experiment of job shop simulation shows that DIST can meet the due time without any capacity planning in advance, and that the real-time response that DIST can realize is essential to achieve short lead-time production. However, in heavy workload production circumstances, the lead-time of CENT is smaller than DIST, because CENT, which has a wide planning scope as a characteristic, can control a lot of work in process at any one time. As the result, CENT can realize higher production efficiency. On the other hand, when the estimated processing time is not reliable, the lead-time of DIST is smaller than CENT, because DIST can sensitively correspond to the difference between the planned and the actual processing time.

    Original languageEnglish
    Pages (from-to)4205-4215
    Number of pages11
    JournalInternational Journal of Production Research
    Volume38
    Issue number17 SPEC.
    Publication statusPublished - 2000 Nov 20

    ASJC Scopus subject areas

    • Management Science and Operations Research
    • Industrial and Manufacturing Engineering

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  • Cite this

    Okubo, H., Weng, J., & Onari, H. (2000). Characteristics of distributed autonomous production control. International Journal of Production Research, 38(17 SPEC.), 4205-4215.