Predictive scheduling based on knowledge acquired from frequency of machine work disturbances

• Autorzy: Wosik I. , Skołud B.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

predictive scheduling; reactive scheduling; mathematical statistics; mean time to failure; MTTF

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2011
• Tom: Vol. 11, No. 1-2
• Strony: 54--67
• Opis fizyczny: Bibliogr. 6 poz., tab., rys.

Twórcy

autor

Wosik I.

• Silesian University of Technology, Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Poland

autor

Skołud B.

• Silesian University of Technology, Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Poland

Bibliografia

• [1] HERROELEN W, LEUS R., 2004, The construction of stable project baseline schedules, European Journal of Operational Research, 156, 550-565.
• [2] HERROELEN W, LEUS R., 2004, Robust and reactive project scheduling: a review and classification of procedures, Int. J. Prod. Res.k 15 April, 8, 1599-1620.
• [3] KALINOWSKI K., Scheduling of production orders with assembly operations and alternatives, Flexible Automation and Intelligent Manufacturing, FAIM2009, Teesside, UK.
• [4] KRYSICKI W., BARTOS J., DYCZKA W., KRÓLIKOWSKA K., WASILEWSKI M., 2002, Theory of probability and mathematical statistics with examples, part I, PWN, W-wa
• [5] KRYSICKI W., BARTOS J., DYCZKA W., KRÓLIKOWSKA K., WASILEWSKI M., 2002, Theory of probability and mathematical statistics with examples, part II, PWN, W-wa.
• [6] WOSIK I., 2008, Immune Algorithms application in production jobs scheduling (in Polish). Silesian University of Technology, Institute of Engineering Processes Automation and Integrated Manufacturing System, Poland.