Harmonogramowanie produkcji w warunkach zakłoceń, wspomagane systemem eksperckim

• Autorzy: Kalinowski K. , Knosala R.

Warianty tytułu

EN

The production scheduling in presence of disturbances with use of an expert system

• Języki publikacji: PL

Abstrakty

EN

Modern manufacturing processes, which are realized in more complicated and changing environment, require exceptionally efficient organization and coordination of production activities. This paper concentrates on production flow control, which contains actions connected with both production planning and production plan realization. Numerous disturbances that appear in manufacturing are an obstacle to production plan realization. The main purpose of this research is to develop a method of production scheduling in presence of disturbances. The essence of the presented method brings the integration of production planning and control stages. It means that concurrently with the control decision (immediate reaction to disturbance) the production schedule for next operations is modified. Complexity of the problem and requirements of decision making in real time indicate that optimization methods are rarely applied. Therefore, in elaborated method the heuristics algorithms, which represent activities of planners and dispatchers of production system, are applied. The above method provides the basis for the development of the object oriented knowledge and data representation from domain of production flows control, which is applied in the expert system. The "paper" and "electronic" forms were proposed for knowledge acquisition from domain experts, which were used to built the knowledge base of the expert system. The developed method and expert system, which aid production flow control were verified with the use of data three production companies. The research that has been carried out confirms practical utility of the method and its implementation to computer aided production flow control in discrete manufacturing systems. Assumptions and constraints that are made in this paper show the need for further research. The transport of assembly operations should be taken into consideration. Additionally, research will include implementation of the fuzzy sets theory both at knowledge representation and reasoning as well as development of the methods for domain knowledge acquisition.

Słowa kluczowe

PL

model przebiegu produkcji; system produkcyjny; harmonogram produkcji; zbiory rozmyte

EN

production process model; production system; production schedule; fuzzy sets

• Wydawca: Polskie Towarzystwo Zarządzania Produkcją
• Czasopismo: Zarządzanie Przedsiębiorstwem
• Rocznik: 2003
• Tom: Vol. 6, nr 1
• Strony: 12--23
• Opis fizyczny: Bibliogr. 12 poz.

Twórcy

autor

Kalinowski K.

autor

Knosala R.

• Katedra Automatyzacji Procesów Technologicznych i Zintegrowanych Systemów Wytwarzania, Politechnika Ślaska, ul. Konarskiego 18a, 44-100 Gliwice,

Bibliografia

• [1] Banaszak Z., Jampolski L.: Komputerowo wspomagane modelowanie elastycznych systemów produkcyjnych, WNT, Warszawa 1991.
• [2] Cholewa W.: Real-time Diagnostic Expert System, Computer Assisted Mechanics and Engineering Sciences, vol. 9, No. 1, Institute of Fundamental Technological Research, Polish Academy of Science, 2002, pp. 2140.
• [3] Kalinowski K.: Sterowanie przebiegiem produkcji w warunkach zakłóceń wspomagane systemem eksperckim, Praca doktorska Politechnika Śląska, Gliwice2002.
• [4] Knosala R., Gendarz P., Pedrycz W.: Komputerowe wspomaganie procesu projektowania maszyno konstrukcji wariantowej, Etap II. Prace Naukowo-Badawcze Instytutu Mechaniki i Podstaw Konstrukcji Maszyn Politechniki Śląskiej, zadanie Nr RPI06.1.18, Gliwice 1987.
• [5] Kim D.P., Nazaretov W.M., Krupa T.: Techniczna imitacja intelektu,[w:] Robotyka i elastycznie zautomatyzowana produkcja red L.T. Wrotny),wydanie polskie rozszerzone, Tom 6. WNT, Warszawa 1991.
• [6] Moczulski W.: Metody pozyskiwania wiedzy dla potrzeb diagnostyki maszyn, Zeszyty Naukowe Politechniki Śląskiej, Mechanikaz. 130,Gliwice 1997.
• [7] Sauer J.: Knowledge-Based Systems Techniques and Applications in Scheduling [w:] Leondes, T.L.(Ed): Knowledge-Based Systems Techniques and Applications, Academic Press, San Diego 1999.
• [8] Skołud B.: Planowanie wieloasortymentowej produkcji rytmicznej, Zeszyty Naukowe Politechniki Śląskiej, Mechanikaz. 136, Gliwice2000.
• [9] Smith S. F.: Reactive Scheduling Systems, Intelligent Scheduling Systems, (eds. D. Brown and W. Scherer), Kluwer Publishing 1994.
• [10] Vieira G.E, Herrmann J.W., Lin E.: Rescheduling Manufacturing Systems: a Framework of Strategies, Policies, and Methods, Journal of Scheduling http7/www.isT.urnd.edu/Labs/ClM/projectsjosrcoverhtml.
• [11] Wróblewski KJ.: Podstawy sterowania przepływem produkcji, WNT, Warszawa 1993.
• [12] Yourdon E., Argik C.: Analiza obiektowa i projektowanie. Przykłady zastosowań,WNT,Warszawa2000.