Applied Mechanics and Materials
Vol. 418
Vol. 418
Applied Mechanics and Materials
Vols. 416-417
Vols. 416-417
Applied Mechanics and Materials
Vol. 415
Vol. 415
Applied Mechanics and Materials
Vols. 411-414
Vols. 411-414
Applied Mechanics and Materials
Vols. 409-410
Vols. 409-410
Applied Mechanics and Materials
Vols. 405-408
Vols. 405-408
Applied Mechanics and Materials
Vol. 404
Vol. 404
Applied Mechanics and Materials
Vols. 401-403
Vols. 401-403
Applied Mechanics and Materials
Vols. 397-400
Vols. 397-400
Applied Mechanics and Materials
Vols. 395-396
Vols. 395-396
Applied Mechanics and Materials
Vol. 394
Vol. 394
Applied Mechanics and Materials
Vol. 393
Vol. 393
Applied Mechanics and Materials
Vol. 392
Vol. 392
Applied Mechanics and Materials Vol. 404
Paper Title Page
Abstract: As an important module of enterprise device management, spare parts inventory affects other strategies like equipment maintenance, overhauling, repairing etc. Furthermore, the normal production of enterprises and economic benefits are closely related with it. In this paper, spare parts are classified based equipment maintenance features [. After analyzing the dynamic and uncertain demand context, a probability inventory model which takes equipment downtime loss into account is presented [. A reasonable inventory costs is suggested through a lot of computing. The model and methodology have been demonstrated by a case study.
808