A problem of predictivie scheduling of jobs in a production system

• Autorzy: Wosik I.
• Języki publikacji: EN

Abstrakty

EN

In the paper a classical model of failures is considered in that successive failurefree times are supposed to have Weibull distributions and are followed by exponentially distributed times of repairs. It is assumed that parameters of these distributions, in general, change with time. Basing on information about the number of failures, failure-free times, repair times, in a number of periods of the same duration in the past parameters of the model are estimated. Next, predictions of the most important reliability characteristics are found using classical regression technique.

Słowa kluczowe

EN

failures; Weibull distribution; classical regression technique

PL

awaria; dystrybucja Weibulla; klasyczna technika regresji

• Wydawca: Instytut Automatyzacji Procesów Technologicznych i Zintegrowanych Systemów Wytwarzania Politechniki Śląskiej
• Czasopismo: Wybrane Problemy Inżynierskie
• Rocznik: 2011
• Tom: nr 2
• Strony: 369--374
• Opis fizyczny: Bibliogr. 4 poz.

Twórcy

autor

Wosik I.

• Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, Gliwice,

Bibliografia

• 1. Gurel S., Korpeglu E., Akturk M.S.: An anticipative scheduling approach with controllable processing times. “Computers and Operations Resesarch”, 2010, Vol. 37, Is. 6, p. 1002- 1013.
• 2. Kempa W. M., Wosik I., Skołud B.: Estimation of reliability characteristics in a production scheduling model with time-changing parameters – first part, theory. Management and control of manufacturing processes, Lublin 2011, p. 7-18.
• 3. Krysicki W.: Theory of probability and mathematical statistic with examples (in Polish),I and II part, Warsaw: PWN, 2002.
• 4. Skołud B., Wosik I., Kempa. W. M., Kalinowski K.: Estimation of reliability characteristics in a production scheduling model with time-changing parameters –second part, numerical example. Management and control of manufacturing processes, Lublin 2011, p. 19-30.