- Tytuł:
- Predictive scheduling based on knowledge acquired from frequency of machine work disturbances
- Autorzy:
-
Wosik, I.
Skołud, B. - Powiązania:
- https://bibliotekanauki.pl/articles/100063.pdf
- Data publikacji:
- 2011
- Wydawca:
- Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
- Tematy:
-
predictive scheduling
reactive scheduling
mathematical statistics
mean time to failure
MTTF - Opis:
- During execution of a schedule some uncertain events may take place for example: resources may become unavailable, machine can be broken. Uncertainty should be included in the process of job scheduling. In the paper the problem to generate a workable, proactive baseline schedule under production constraints and unexpected event occurrence conditions is considered. The proactive baseline schedule protects against anticipated occurrences that may appear during the schedule execution. The machine breaking time is searched and the information is used to generate a robust schedule. In the paper the method of data acquisition basing on probability theory is proposed. The time of machine breaking is acquired from historical data of frequency of machine failure. A numerical example of building a hypothesis H:{the cumulative distribution function of the failure time is a normal distribution}, verification of the hypothesis, and predictive scheduling is presented. The normal distribution is proposed to describe failure time of machine as it gives consideration to a gradual wear process of the machine. The paper is proposition of improving simulation systems such as the Enterprise Dynamics or Taylor and scheduling systems such as Knowledge based Rescheduling System and Multi Objective Immune Scheduling Algorithm.
- Źródło:
-
Journal of Machine Engineering; 2011, 11, No. 1-2; 54-67
1895-7595
2391-8071 - Pojawia się w:
- Journal of Machine Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł