A software module for multi-criteria suppliers’ selection with respect to the spare parts logistic

• Autorzy: Makarova Irina , Shubenkova Ksenia , Buyvol Polina , Mukhametdinov Eduard

Identyfikatory

DOI

10.21307/tp-2020-010

• Języki publikacji: EN

Abstrakty

EN

Reliability of vehicles is characterized not only by the quality of production but also by the quality of subsequent maintenance. In this paper, we consider the possible spare parts logistics risks, as they have a huge influence on vehicles’ maintenance. One of the widespread methods to analyze the reliability of complex systems is Fault Tree Analysis (FTA). To identify and systematize all possible risks in spare parts logistics, we have built the Problem Tree. For managing identified risks, we propose a conceptual scheme of an inteligent system. In the framework of this paper, we describe one of the modules that make up this intelligent system. The proposed software module will help to choose the spare parts’ suppliers taking into account their reliability from the logistical point of view. It was tested with the use of real data from an automotive manufacturer.

Słowa kluczowe

EN

spare parts; problem tree analysis; software modules; logistic risks; vehicle reliability

PL

części zamienne; analiza drzewa problemowego; moduł oprogramowania; ryzyko logistyczne; niezawodność pojazdu

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2020
• Tom: T. 15, z. 1
• Strony: 105--116
• Opis fizyczny: Bibliogr. 28 poz.

Twórcy

autor

Makarova Irina

• Kazan (Volga Region) Federal University, Syuyumbike av., 10a, 423812, Naberezhnye Chelny, Russia

autor

Shubenkova Ksenia

• Kazan (Volga Region) Federal University, Syuyumbike av., 10a, 423812, Naberezhnye Chelny, Russia

autor

Buyvol Polina

• Kazan (Volga Region) Federal University, Syuyumbike av., 10a, 423812, Naberezhnye Chelny, Russia

autor

Mukhametdinov Eduard

• Kazan (Volga Region) Federal University, Syuyumbike av., 10a, 423812, Naberezhnye Chelny, Russia

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).